GLOBEC NEP Northern California Current Bird Data NH0005, 2000-2000, 0007

GLOBEC (GLOBal Ocean ECosystems Dynamics) NEP (Northeast Pacific)
Northern California Current Bird Data from R/V New Horizon cruises NH0005 and 0007.

As a part of the GLOBEC-Northeast Pacific project, we investigated variation in the abundance of marine birds in the context of biological and physical habitat conditions in the northern portion of the California Current System (CCS) during cruises during the upwelling season 2000. Continuous surveys of seabirds were conducted simultaneously in June (onset of upwelling) and August (mature phase of upwelling).

Seabird surveys were conducted continuously during daylight, using a 300-m-wide transect strip. Within that strip, birds were counted that occurred within the 90 degree quadrant off the ship's bow that offered the best observation conditions.

Observed counts of seabirds recorded as flying in a steady direction were adjusted for the effect of flight speed and direction relative to that of the ship (Spear et al., 1992; Spear and Ainley, 1997b). The effect of such flux is the most serious bias encountered during seabird surveys at sea (Spear et al., 2005). Known as random directional movement (as opposed to nonrandom directional movement, which occurs when birds are attracted or repelled from the survey vessel), this problem usually results in density overestimation because most species fly faster than survey vessels; densities of birds that fly slower or at a similar speed as the survey vessel (e.g., storm-petrels), or are flying in the same direction, are usually underestimated (Spear et al., 1992)

(extracted from: David G. Ainley, Larry B. Spear, Cynthia T. Tynan, John A. Barth, Stephen D. Pierce, R. Glenn Ford and Timothy J. Cowles, 2005. Physical and biological variables affecting seabird distributions during the upwelling season of the northern California Current. Deep Sea Research Part II: Topical Studies in Oceanography, Volume 52, Issues 1-2, January 2005, Pages 123-143)

For more information, see
http://cis.whoi.edu/science/bcodmo/dataset.cfm?id=10053&flag=view
or
http://globec.whoi.edu/jg/info/globec/nep/ccs/birds%7Bdir=globec.whoi.edu/jg/dir/globec/nep/ccs/,data=globec.whoi.edu/jg/serv/globec/nep/ccs/birds.html0%7D

Contact:
Cynthia T. Tynan, ctynan@whoi.edu, Woods Hole Oceanographic Institution
David G. Ainley, dainley@penguinscience.com, H.T. Harvey & Associates

cdm_data_type = Trajectory
VARIABLES:
trans_no (Transect Number)
... (12 more variables)


CRRF Weather Station: Palau: Koror: Ngeanges Island

Since 2007, the Coral Reef Research Foundation (CRRF) has operated a Campbell Scientific automatic weather station (AWS) in Palau designed to measure meteorological/atmospheric conditions relevant to Koror State's Rock Islands Southern Lagoon, a World Heritage Site. With little flat land in the Rock Islands, the weather station is located on a 40-ft tower situated on a karst ridge on Ngeanges Island at 100 ft elevation, about 5.4 km (3.5 mi) from CRRF's study site at Jellyfish Lake. It measures a suite of atmospheric conditions for comparison with CRRF's temporary, floating weather station located on a tripod in Jellyfish Lake, and provides vital data for studying how local weather conditions and ENSO events affect the marine lake environment.

cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
altitude (Distance above mean sea level, m)
station_name (station)
air_temperature (Celsius)
air_temperature_max (maximum air temperature, Celsius)
air_temperature_max_time (maximum air temperature: observation time, seconds since 1970-01-01T00:00:00Z)
air_temperature_min (minimum air temperature, Celsius)
air_temperature_min_time (minimum air temperature: observation time, seconds since 1970-01-01T00:00:00Z)
air_temperature_std (air temperature standard deviation, Celsius)
wind_speed (m/s)
wind_speed_max (gust speed, m/s)
wind_speed_max_time (gust speed: observation time, seconds since 1970-01-01T00:00:00Z)
wind_speed_min (minimum wind speed, m/s)
wind_speed_min_time (minimum wind speed: observation time, seconds since 1970-01-01T00:00:00Z)
wind_speed_std (wind speed standard deviation, m/s)
wind_from_direction (wind direction, degrees)
wind_from_direction_std (wind direction standard deviation, degrees)
rainfall_amount (total rainfall, mm)
... (23 more variables)


Global Monthly Dai Palmer Drought Severity Index (pdsi.mon.mean.selfcalibrated), 2.5°, 1850-2014

Global Monthly Dai Palmer Drought Severity Index. Monthly Self-calibrated Palmer Drought Severity Index (scPDSI)
calculated using observed surface air temperature (HadCRUT4 from
https://www.cru.uea.ac.uk/cru/data/temperature/ ) and
precipitation (from Dai et al. (1997, J.Clim: for 1870-1947) +
Chen et al. (2002, J. Hydromet.: for 1948-1978 + Global Precipitation Climatology Project (GPCP) v2.2 for
1979-present. The Dai and Chen P data were adjusted to have the
same mean as the GPCP data over the 1979-1996 period).
Calibration (or reference) period is 1950-1979.
Wind speed and air pressure data were from 20CR v2. Other data
were based on Climatic Research Unit (CRU) TS3.22. Documention:
Dai, A., 2011a: Characteristics and trends in various forms of the
Palmer Drought Severity Index (PDSI) during 1900-2008. J. Geophys.
Res., 116, D12115, doi:10.1029/2010JD015541.
Dai, A., K. E. Trenberth, and T. Qian, 2004: A global data set of
Palmer Drought Severity Index for 1870-2002: Relationship with soil
moisture and effects of surface warming. J. Hydrometeorology, 5,
1117-1130. Data source: Dr. A. Dai/National Center for Atmospheric Research (NCAR) (adai@ucar.edu). See
https://www.cgd.ucar.edu/cas/catalog/climind/pdsi.html for updates.
WARNING: PDSI and scPDSI over the higher latitudes (e.g., >50deg.)
may not be a good proxy of soil moisutre content. Also, PDSI and
scPDSI are highly autocorrelated indices not good at resolving
sub-seasonal variations.  Please use with caution!
This is a normalized version so that every grid box has the same
s.d. as that in the central U.S. during the calibr. period (1950-79)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pdsi (Monthly Self-calibrated Palmer Drought Severity Index using Penman-Monteith PE, Standardized)


Raw meteorological data collected with a Campbell Scientific CR-1000 weather station with wind speed, wind direction, temperature, humidity, barometric pressure, rain gauge and solar irradiation sensors. Data are raw and not flagged or curated in any manner other than curtailed for deployment periods where all sensors are functional. These data may be used and redistributed for free but they are not intended for legal use, since they may contain inaccuracies. For use for publications please reference the Central and Northern California Ocean Observing system (CeNCOOS) and NOAA. Neither the data provider, CeNCOOS, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, or this information.

cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
AirT_AVG (Air Temperature, degrees C)
RH (Relative Humidity, %)
BP_AVG (Barometric Pressure, mbar)
SlrW_AVG (watts s-1m-2)
PAR_Den_AVG (Âµmol s-1m-2)
Rain_TOT (mm)
WS_S_WVT (m/s)
WS_U_WVT (m/s)
WindDir_DU_WVT (deg)
WindDir_SDU_WVT (deg)
WS_MAX (m/s)
station_id
latitude (degrees_north)
longitude (degrees_east)


Research Ship Melville Underway Meteorological Data, Quality Controlled

Research Ship Melville Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (19 more variables)


Research Ship Tangaroa Underway Meteorological Data, Quality Controlled

Research Ship Tangaroa Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (17 more variables)


Research Ship Roger Revelle Underway Meteorological Data, Quality Controlled

Research Ship Roger Revelle Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (20 more variables)


Research Ship T. G. Thompson Underway Meteorological Data, Quality Controlled

Research Ship T. G. Thompson Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (17 more variables)


ICOADS 2-degree Enhanced (wspd3.mean), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.mean), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


FNMOC Wind and Ekman Transport Data, 360x180, Monthly, from 6-hr Pressure

Global monthly derived winds and Ekman transports can be obtained for any
point on the ocean (Northern Hemisphere: 1967 - present, Southern Hemisphere:
1981 - present).

ERD was established at the U.S. Navy Fleet Numerical Meteorology and
Oceanography Center (FNMOC) to take advantage of the Navy's global
oceanographic and meteorological databases. FNMOC produces operational
forecasts of the state of the atmosphere and the ocean several times daily
and maintains archives of several important parameters, such as sea level
pressure and temperature. ERD derives a number of well-known environmental
data and index products which are routinely distributed to researchers at
many state and federal laboratories, as well as to academic and international
researchers.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pmsl (Pressure Reduced To MSL, Mb)
u_mean (East-West Component of Surface Wind, m s-1)
v_mean (North-South Component of Surface Wind, m s-1)
uv_mag_mean (Magnitude of Surface Wind, m s-1)
taux_mean (East-West Component of Wind Stress, N m-2)
tauy_mean (North-South Component of Wind Stress, N m-2)
curl (Curl of Surface Wind Stress, MPa m-1)
ektrx (East-West Component of Ekman Transport, kg m-1 s-1)
ektry (North-South Component of Ekman Transport, kg m-1 s-1)


ICOADS 1-degree Enhanced (wspd3.mean), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.mean), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd.stddev), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


FNMOC Wind and Ekman Transport Data, 360x180, Monthly, from 6-hr Pressure, Lon+/-180


ICOADS 2-degree Enhanced (wspd.stddev), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


Best NAM Hawaii Time Series [time][y][x], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
Momentum_flux_u_component_surface (Momentum flux, u-component @ Ground or water surface, N.m-2)
Momentum_flux_v_component_surface (Momentum flux, v-component @ Ground or water surface, N.m-2)
Downward_Short_Wave_Radiation_Flux_surface (Downward Short-Wave Radiation Flux @ Ground or water surface, W.m-2)
Downward_Long_Wave_Radp_Flux_surface (Downward Long-Wave Rad. Flux @ Ground or water surface, W.m-2)
Pressure_grid_scale_cloud_bottom (Pressure @ Grid scale cloud bottom level, Pa)
Pressure_grid_scale_cloud_top (Pressure @ Grid scale cloud top level, Pa)
Vertical_Speed_Shear_tropopause (Vertical Speed Shear @ Tropopause, s-1)
Ventilation_Rate_planetary_boundary (Ventilation Rate @ Planetary Boundary Layer, m2.s-1)
MSLP_Eta_model_reduction_msl (MSLP (Eta model reduction) @ Mean sea level, Pa)
Wind_speed_gust_surface (Wind speed (gust) @ Ground or water surface, m/s)
Categorical_Rain_surface (Categorical Rain @ Ground or water surface, Code table 4.222)
Maximum_Snow_Albedo_surface (Maximum Snow Albedo @ Ground or water surface, percent)
Lightning_surface (Lightning @ Ground or water surface, non-dim)
Specific_humidity_surface (Specific humidity @ Ground or water surface, kg/kg)
Pressure_surface (Pressure @ Ground or water surface, Pa)
Ice_cover_surface (Ice cover @ Ground or water surface)
Land_cover_0_sea_1_land_surface (Land cover (0 = sea, 1 = land) @ Ground or water surface)
Soil_type_surface (Soil type @ Ground or water surface, (Code table 4.213))
Water_temperature_surface (Water temperature @ Ground or water surface, K)
Temperature_surface (Temperature @ Ground or water surface, K)
Visibility_surface (Visibility @ Ground or water surface, m)
Albedo_surface (Albedo @ Ground or water surface, percent)
Surface_roughness_surface (Surface roughness @ Ground or water surface, m)
Haines_index_surface (Haines index @ Ground or water surface)
Vegetation_surface (Vegetation @ Ground or water surface, percent)
Geopotential_height_surface (Geopotential height @ Ground or water surface, gpm)
... (81 more variables)


ICOADS 1-degree Standard (wspd.stddev), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


Best NAM Puerto Rico Time Series [time][y][x], 2021-present


ICOADS 1-degree Enhanced (wspd.stddev), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


ICOADS 2-degree Enhanced (wspd.nobs), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 2-degree Enhanced (wspd3.mean day), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 2-degree Standard (wspd.nobs), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 2-degree Standard (wspd3.mean day), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 1-degree Enhanced (wspd.nobs), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Enhanced (wspd3.mean day), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 1-degree Standard (wspd.nobs), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Standard (wspd3.mean day), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 2-degree Enhanced (wspd3.day fraction), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 2-degree Enhanced (wspd3.sextile1), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 2-degree Enhanced (wspd3.sextile5), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.day fraction), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 2-degree Standard (wspd3.sextile1), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.sextile5), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 1-degree Enhanced (wspd3.day fraction), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 1-degree Equatorial Enhanced (wspd3.mean), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.mean), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.day fraction), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 2-degree Enhanced (wspd3.sextile3), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.sextile3), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.stddev), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 1-degree Enhanced (wspd3.sextile1), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 1-degree Enhanced (wspd3.sextile5), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.sextile1), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.sextile3), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.sextile5), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 2-degree Enhanced (wspd3.nobs), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


ICOADS 2-degree Enhanced (wspd3.stddev), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.nobs), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Enhanced (wspd3.nobs), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Enhanced (wspd3.sextile3), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.nobs), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Standard (wspd3.stddev), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 1-degree Enhanced (wspd3.stddev), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd.stddev), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


ICOADS 1-degree Equatorial Enhanced (wspd.stddev), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


ICOADS 2-degree Enhanced (wspd3.mean lat), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 2-degree Enhanced (wspd3.mean lon), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 2-degree Standard (wspd3.mean lat), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 2-degree Standard (wspd3.mean lon), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Enhanced (wspd3.mean lat), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Enhanced (wspd3.mean lon), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Equatorial Enhanced (wspd3.mean day), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 1-degree Equatorial Standard (wspd.nobs), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Equatorial Standard (wspd3.mean day), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 1-degree Standard (wspd3.mean lat), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Standard (wspd3.mean lon), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Equatorial Enhanced (wspd.nobs), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Equatorial Enhanced (wspd3.day fraction), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 1-degree Equatorial Enhanced (wspd3.sextile1), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Enhanced (wspd3.sextile5), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.day fraction), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 1-degree Equatorial Standard (wspd3.sextile1), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.sextile5), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Enhanced (wspd3.sextile3), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.sextile3), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.stddev), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Enhanced (wspd3.nobs), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Equatorial Enhanced (wspd3.stddev), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.nobs), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


Research Ship Healy Underway Meteorological Data, Quality Controlled

Research Ship Healy Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (22 more variables)


ICOADS 1-degree Equatorial Enhanced (wspd3.mean lat), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Equatorial Enhanced (wspd3.mean lon), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Equatorial Standard (wspd3.mean lat), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Equatorial Standard (wspd3.mean lon), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


Research Ship New Horizon Underway Meteorological Data, Quality Controlled

Research Ship New Horizon Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (25 more variables)


NCEP Real-time Marine (wspd.nobs), 2.0°, 1991-2011

National Centers for Environmental Prediction (NCEP) Real-time Marine (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


Research Ship Laurence M. Gould Underway Meteorological Data, Quality Controlled

Research Ship Laurence M. Gould Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (21 more variables)


Research Ship Nathaniel B. Palmer Underway Meteorological Data, Quality Controlled

Research Ship Nathaniel B. Palmer Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (18 more variables)


ICOADS 2-degree Enhanced (wspd3.mean), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.mean), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1989-present, Evaporation

This dataset has daily Evaporation data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
E_250 (Evaporation, MM/HR)
QE_5250 (Evaporation Quality)


ICOADS 1-degree Enhanced (wspd3.mean), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.mean), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 2000-present, Buoyancy Flux

This dataset has daily Buoyancy Flux data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
BF_191 (Buoyancy Flux, 10**6 kg m-2 s-1)
QBF_5191 (Buoyancy Flux Quality)


ICOADS 2-degree Standard (wspd.stddev), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 2000-present, Total Heat Flux

This dataset has daily Total Heat Flux data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
QT_210 (Total Heat Flux, W/M**2)
QQ0_5210 (Total Heat Flux Quality)


ICOADS 1-degree Standard (wspd.stddev), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


ICOADS 2-degree Enhanced (wspd.stddev), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1989-present, Latent Heat Flux

This dataset has daily Latent Heat Flux data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
QL_137 (Latent Heat Flux, W m-2)
QQL_5137 (Latent Heat Flux Quality)


ICOADS 1-degree Enhanced (wspd.stddev), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


ICOADS 2-degree Enhanced (wspd.nobs), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 2-degree Enhanced (wspd3.mean day), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 2-degree Standard (wspd.nobs), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 2-degree Standard (wspd3.mean day), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


Research Ship Knorr Underway Meteorological Data, Quality Controlled

Research Ship Knorr Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (33 more variables)


Research Ship Oceanus Underway Meteorological Data, Quality Controlled

Research Ship Oceanus Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (29 more variables)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1989-present, Sensible Heat Flux

This dataset has daily Sensible Heat Flux data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
QS_138 (Sensible Heat Flux, W m-2)
QQS_5138 (Sensible Heat Flux Quality)


Research Ship Atlantis Underway Meteorological Data, Quality Controlled

Research Ship Atlantis Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (33 more variables)


ICOADS 1-degree Enhanced (wspd.nobs), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Enhanced (wspd3.mean day), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 1-degree Standard (wspd.nobs), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Standard (wspd3.mean day), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 2-degree Enhanced (wspd3.day fraction), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 2-degree Enhanced (wspd3.sextile1), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 2-degree Enhanced (wspd3.sextile5), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.day fraction), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 2-degree Standard (wspd3.sextile1), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.sextile5), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 1-degree Enhanced (wspd3.day fraction), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 1-degree Enhanced (wspd3.sextile1), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 1-degree Enhanced (wspd3.sextile5), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Enhanced (wspd3.mean), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.mean), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.day fraction), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 1-degree Standard (wspd3.sextile1), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.sextile5), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 2-degree Enhanced (wspd3.sextile3), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.sextile3), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.stddev), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 2x2 Degree Enhanced LTM (wspd3.ltm), 2.0°, 0001

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2x2 Degree Enhanced Long Term Mean (LTM) (wspd3.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Long Term Mean at Surface, m**3/s**3)


ICOADS 1-degree Enhanced (wspd3.sextile3), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.sextile3), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.stddev), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 2-degree Enhanced (wspd3.nobs), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


ICOADS 2-degree Enhanced (wspd3.stddev), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 2-degree Standard (wspd3.nobs), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Enhanced (wspd3.nobs), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Enhanced (wspd3.stddev), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 1-degree Standard (wspd3.nobs), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Equatorial Standard (wspd.stddev), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


ICOADS 2-degree Enhanced (wspd3.mean lat), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 2-degree Standard (wspd3.mean lat), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Equatorial Enhanced (wspd.stddev), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Standard Deviation at Surface, m/s)


ICOADS 2-degree Enhanced (wspd3.mean lon), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 2-degree Standard (wspd3.mean lon), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Enhanced (wspd3.mean lat), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Enhanced (wspd3.mean lon), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Equatorial Enhanced (wspd.nobs), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Equatorial Enhanced (wspd3.mean day), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 1-degree Equatorial Standard (wspd.nobs), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Equatorial Standard (wspd3.mean day), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_day at Surface, days)


ICOADS 1-degree Standard (wspd3.mean lat), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Standard (wspd3.mean lon), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 2x2 Degree Enhanced LTM (wspd3.ltm), 2.0°, 0001

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2x2 Degree Enhanced Long Term Mean (LTM) (wspd3.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Long Term Mean at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Enhanced (wspd3.day fraction), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


ICOADS 1-degree Equatorial Standard (wspd3.day fraction), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Day_fraction at Surface)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1997-present, Evaporation Minus Precipitation

This dataset has daily Evaporation Minus Precipitation data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
EMP_251 (Evaporation Minus Precipitation, mm/hr)
QEMP_5251 (Evaporation Minus Precipitation Quality)


ICOADS 1-degree Equatorial Enhanced (wspd3.sextile1), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Enhanced (wspd3.sextile3), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Enhanced (wspd3.sextile5), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.sextile1), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 1st Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.sextile3), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 3rd Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.sextile5), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly 5th Sextile at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Standard (wspd3.stddev), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


ICOADS 1-degree Equatorial Enhanced (wspd3.nobs), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


ICOADS 1-degree Equatorial Standard (wspd3.nobs), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.nobs)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Number of Observations at Surface, observations)


Research Ship Kilo Moana Underway Meteorological Data, Quality Controlled

Research Ship Kilo Moana Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (20 more variables)


Research Ship Southern Surveyor Underway Meteorological Data, Quality Controlled

Research Ship Southern Surveyor Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (27 more variables)


ICOADS 1-degree Equatorial Enhanced (wspd3.stddev), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.stddev)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Standard Deviation at Surface, m**3/s**3)


Research Ship Atlantic Explorer Underway Meteorological Data, Quality Controlled

Research Ship Atlantic Explorer Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
 flag=~"ZZZ........Z.*"
in your query.
'=~' indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
(Don't include backslashes in your query.)
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
... (19 more variables)


ICOADS 1-degree Equatorial Enhanced (wspd3.mean lat), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Equatorial Enhanced (wspd3.mean lon), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Equatorial Standard (wspd3.mean lat), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Equatorial Standard (wspd3.mean lon), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd3.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 2x2 Degree Enhanced, Climatology % Years (wspd3.ltm.perc), 2.0°, 0001

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2x2 Degree Enhanced Percentage of Years in Climatology (wspd3.ltm.perc)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd3 (Scalar Wind Cubed Monthly Percentage of Years in Climatology at Surface, percent)


NOAA Ship Pisces Underway Meteorological Data, Near Real Time

NOAA Ship Pisces Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
airPressure (Atmospheric Pressure, millibar)
... (13 more variables)


NOAA Ship Pisces Underway Meteorological Data, Quality Controlled

NOAA Ship Pisces Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
airPressure (Atmospheric Pressure, millibar)
... (13 more variables)


NOAA Ship Rainier Underway Meteorological Data, Near Real Time

NOAA Ship Rainier Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
airPressure (Atmospheric Pressure)
... (13 more variables)


NOAA Ship Delaware II Underway Meteorological Data, Quality Controlled

NOAA Ship Delaware II Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
airPressure (Atmospheric Pressure, millibar)
... (13 more variables)


NOAA Ship Fairweather Underway Meteorological Data, Near Real Time

NOAA Ship Fairweather Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
airPressure (Atmospheric Pressure, millibar)
... (13 more variables)


NOAA Ship Fairweather Underway Meteorological Data, Quality Controlled

NOAA Ship Fairweather Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
airPressure (Atmospheric Pressure, millibar)
... (13 more variables)


NOAA Ship Hi'ialakai Underway Meteorological Data, Near Real Time

NOAA Ship Hi'ialakai Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
airPressure (Atmospheric Pressure, millibar)
... (13 more variables)


NOAA Ship Hi'ialakai Underway Meteorological Data, Quality Controlled

NOAA Ship Hi'ialakai Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
airPressure (Atmospheric Pressure, millibar)
... (13 more variables)


NOAA Ship Ka'imimoana Underway Meteorological Data, Quality Controlled

NOAA Ship Ka'imimoana Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS) program.

IMPORTANT: ALWAYS USE THE QUALITY FLAG DATA! Each data variable's metadata includes a qcindex attribute which indicates a character number in the flag data.  ALWAYS check the flag data for each row of data to see which data is good (flag='Z') and which data isn't.  For example, to extract just data where time (qcindex=1), latitude (qcindex=2), longitude (qcindex=3), and airTemperature (qcindex=12) are 'good' data, include this constraint in your ERDDAP query:
  flag=~"ZZZ........Z.*"
in your query.
"=~" indicates this is a regular expression constraint.
The 'Z's are literal characters.  In this dataset, 'Z' indicates 'good' data.
The '.'s say to match any character.
The '*' says to match the previous character 0 or more times.
See the tutorial for regular expressions at
https://www.vogella.com/tutorials/JavaRegularExpressions/article.html

cdm_data_type = Trajectory
VARIABLES:
ID (Call Sign)
site (Ship Name)
IMO
cruise_id
expocode
facility
platform
platform_version
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
airPressure (Atmospheric Pressure, millibar)
... (16 more variables)