NOAA Ship McArthurII Underway Meteorological Data, Quality Controlled

NOAA Ship McArthur 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 Oregon II Underway Meteorological Data, Near Real Time

NOAA Ship Oregon II 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 Oregon II Underway Meteorological Data, Quality Controlled

NOAA Ship Oregon 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 Oscar Dyson Underway Meteorological Data, Near Real Time

NOAA Ship Oscar Dyson 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.
(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)
... (14 more variables)


NOAA Ship Oscar Dyson Underway Meteorological Data, Quality Controlled

NOAA Ship Oscar Dyson 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)
... (14 more variables)


NOAA Ship Rainier Underway Meteorological Data, Quality Controlled

NOAA Ship Rainier 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)
... (13 more variables)


NOAA Ship Ronald Brown Underway Meteorological Data, Near Real Time

NOAA Ship Ronald Brown 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)
... (14 more variables)


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 Ferdinand Hassler Underway Meteorological Data, Near Real Time

NOAA Ship Ferdinand Hassler 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 Gordon Gunter Underway Meteorological Data, Near Real Time

NOAA Ship Gordon Gunter 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 Gordon Gunter Underway Meteorological Data, Quality Controlled

NOAA Ship Gordon Gunter 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 Henry B. Bigelow Underway Meteorological Data, Near Real Time

NOAA Ship Henry B. Bigelow 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 Henry B. Bigelow Underway Meteorological Data, Quality Controlled

NOAA Ship Henry B. Bigelow 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 Miller Freeman Underway Meteorological Data, Quality Controlled

NOAA Ship Miller Freeman 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 Okeanos Explorer Underway Meteorological Data, Near Real Time

NOAA Ship Okeanos Explorer 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 Okeanos Explorer Underway Meteorological Data, Quality Controlled

NOAA Ship Okeanos 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.
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 Oscar Elton Sette Underway Meteorological Data, Near Real Time

NOAA Ship Oscar Elton Sette 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 Reuben Lasker Underway Meteorological Data, Near Real Time

NOAA Ship Reuben Lasker 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 Reuben Lasker Underway Meteorological Data, Quality Controlled

NOAA Ship Reuben Lasker 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)
... (13 more variables)


NOAA Ship Ronald Brown Underway Meteorological Data, Quality Controlled

NOAA Ship Ronald Brown 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)
... (14 more variables)


NOAA Ship Thomas Jefferson Underway Meteorological Data, Quality Controlled

NOAA Ship Thomas Jefferson 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 David Starr Jordan Underway Meteorological Data, Quality Controlled

NOAA Ship David Starr Jordan 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 Ferdinand Hassler Underway Meteorological Data, Quality Controlled

NOAA Ship Ferdinand Hassler 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 Oscar Elton Sette Underway Meteorological Data, Quality Controlled

NOAA Ship Oscar Elton Sette 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)


WaveWatch III (WW3) Hawaii Regional Wave Model

Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Hawaii regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. Hawaii WW3 is forced with winds from the University of Hawaii Meteorology Department's operational mesoscale model, which has a more suitable spatial resolution than the global scale wind field. The Hawaii regional WW3 also provides boundary conditions for nearshore island-scale models via Simulating WAves Nearshore (SWAN). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)

Pacific Islands Ocean Observing System (PacIOOS)


WaveWatch III (WW3) Samoa Regional Wave Model

Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Samoa regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. The Samoa regional WW3 also provides boundary conditions for nearshore island-scale models via Simulating WAves Nearshore (SWAN). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Mariana Regional Wave Model

Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Mariana Islands regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. The Mariana regional WW3 also provides boundary conditions for nearshore island-scale models via Simulating WAves Nearshore (SWAN). While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Hawaii Regional Wave Model, Lon+/-180


SFSU EOS MetStation Archived data after 2016-4-26

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)
AirTC (Air Temperature, degrees C)
RH (Relative Humidity, %)
BP_mmHg (Barometric Pressure, mmHg)
SlrkW (kW/m^2)
SlrMJ (MJ/m^2)
PAR_Den (Âµmol s-1m-2)
PAR_Tot (mmol/m^2)
Rain_mm (mm)
WS_ms (m/s)
WindDir (deg)
station_id
latitude (degrees_north)
longitude (degrees_east)


WaveWatch III (WW3) Samoa Regional Wave Model, Lon+/-180


NOAA Ship Bell M. Shimada Underway Meteorological Data, Near Real Time

NOAA Ship Bell M. Shimada 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)
... (19 more variables)


NOAA Ship Bell M. Shimada Underway Meteorological Data, Quality Controlled

NOAA Ship Bell M. Shimada 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)
... (19 more variables)


WaveWatch III (WW3) Northwestern Hawaiian Islands (NWHI) Regional Wave Model

Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) model (ww3_global), which in turn provides boundary conditions for this Northwestern Hawaiian Islands (NWHI) regional WW3: a 7-day model with a 5-day hourly forecast at approximately 5-km or 0.05-deg resolution. The primary purpose of this regional model is to capture island effects such as island shadowing, refraction, and accurate modeling of local wind waves. NWHI WW3 is forced with winds from the University of Hawaii Meteorology Department's operational mesoscale model, which has a more suitable spatial resolution than the global scale wind field. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


NOAA Ship Nancy Foster Underway Meteorological Data, Near Real Time

NOAA Ship Nancy Foster 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)
... (14 more variables)


NOAA Ship Nancy Foster Underway Meteorological Data, Quality Controlled

NOAA Ship Nancy Foster 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)
... (14 more variables)


WaveWatch III (WW3) Northwestern Hawaiian Islands (NWHI) Regional Wave Model, Lon+/-180

Pacific Islands Ocean Observing System (PacIOOS)


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)
PAR_Den_2_AVG (Âµmol s-1m-2)
station_id
latitude (degrees_north)
longitude (degrees_east)


Monthly NOAA/CIRES/DOE 20th Century Reanalysis V3 (vwsh.tropo.mon.mean), 1.0°, 1836-2015

Monthly NOAA/CIRES/Department of Energy (DOE) 20th Century Reanalysis V3. Data are from
NOAA/CIRES/DOE 20th Century Reanalysis version 3
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model hybrid (sigma/pressure) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vwsh (Monthly Vertical Speed Shear at Tropopause, 1/s)


Through a collaborative effort with NOAA/NCEP and NWS Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) 7-day model with a 5-day hourly forecast at approximately 50-km or 0.5-deg resolution. The global model is forced with NOAA/NCEP's Global Forecast System (GFS) winds. This model is designed to capture the large-scale ocean waves and provide spectral boundary conditions for the Hawaii and other Pacific regional WW3 models. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Global Wave Model, Lon+/-180


COADS Surface Marine Observations (1854-1993), 2.0°

Comprehensive Ocean Atmosphere Data Set (COADS) Surface Marine Observations (1854-1993)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
AIR (Air Temperature, deg C)
CLDC (Cloudiness, okta)
LFLX (Latent Heat Parameter, grams/kg m/s)
NAIR (Number of air obs)
NCLDC (Number of cldc obs)
NLFLX (Number of lflx obs)
NRHUM (Number of rhum obs)
NSFLX (Number of sflx obs)
NSHUM (Number of shum obs)
NSLP (Number of slp obs)
NSST (Number of sst obs)
NUSTR (Number of ustr obs)
NUWND (Number of uwnd obs)
NVSTR (Number of vstr obs)
NVWND (Number of vwnd obs)
NWSPD (Number of wspd obs)
RHUM (Relative Humidity, percent)
SFLX (Sensible Heat Parameter, deg C m/s)
SHUM (Specific Humidity, gm/kg)
SLP (Sea Level Pressure, mb)
SST (Sea Surface Temperature, deg C)
USTR (Zonal Pseudostress, m**/s**2)
UWND (Zonal Wind, m/s)
VSTR (Meridional Pseudostress, m**/s**2)
VWND (Meridional Wind, m/s)
WSPD (Wind Speed, m/s)


Research Ship Robert Gordon Sproul Underway Meteorological Data, Quality Controlled

Research Ship Robert Gordon Sproul 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)
... (7 more variables)


ICOADS, 2-degree, Enhanced, Monthly, Long Term Mean 1950-1979

This dataset has the long term mean (monthly climatology) of the 2-degree,
Global, Enhanced, simple gridded monthly summary product (1950 - 1979) from
the International Comprehensive Ocean-Atmosphere Data Set (ICOADS), the most
extensive collection of surface marine data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Air Temperature Monthly Long Term Mean at Surface, degC)
cldc (Cloudiness Monthly Long Term Mean at Surface, okta)
lflx (Latent Heat Parameter Monthly Long Term Mean at Surface, grams/kg m/s)
rhum (Relative Humidity Monthly Long Term Mean at Surface, %)
sflx (Sensible Heat Parameter Monthly Long Term Mean at Surface, degC m/s)
shum (Specific Humidity Monthly Long Term Mean at Surface, grams/kg)
slp (Sea Level Pressure Monthly Long Term Mean at Surface, millibars)
sst (Sea Surface Temperature Monthly Long Term Mean at Surface, degC)
upstr (u-wind Stress Monthly Long Term Mean at Surface, m^2/s^2)
uwnd (u-wind Monthly Long Term Mean at Surface, m/s)
vpstr (v-wind Stress Monthly Long Term Mean at Surface, m^2/s^2)
vwnd (v-wind Monthly Long Term Mean at Surface, m/s)
wspd (Scalar Wind Monthly Long Term Mean at Surface, m/s)


ICOADS, 2-degree, Enhanced, Monthly, Long Term Mean 1950-1979, Lon+/-180


ICOADS, 2-degree, Enhanced, Monthly, 1800-present

This dataset has the 2-degree, Global, Enhanced, simple gridded monthly
summary product (1800 to present) from the International Comprehensive
Ocean-Atmosphere Data Set (ICOADS), the most extensive collection of surface
marine data.
Temporal Coverage:
  * Monthly values for 1800/01 - 2007/12.
  * Preliminary monthly values for 2008/01 - present.
IMPORTANT: The time period of these products is defined in two segments.
  1. Release 2.5 1800 through 2007
  2. Following the Release 2.5 end date data are based exclusively on
     real-time GTS data with minimal quality control. These data should be
     considered preliminary and will be subject to change in new releases.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Air Temperature Monthly Mean at Surface, degC)
cldc (Cloudiness Monthly Mean at Surface, okta)
lflx (Latent Heat Parameter Monthly Mean at Surface, grams/kg m/s)
qsminq (Sat Sp Hum at Sst Minus Sp Hum Monthly Mean at Surface, grams/kg)
rhum (Relative Humidity Monthly Mean at Surface, %)
sflx (Sensible Heat Parameter Monthly Mean at Surface, degC m/s)
shum (Specific Humidity Monthly Mean at Surface, grams/kg)
slp (Sea Level Pressure Monthly Mean at Surface, millibars)
smina (Sea-air Temperature Difference Monthly Mean at Surface, degC)
sst (Sea Surface Temperature Monthly Mean at Surface, degC)
uairt (Sensible Heat Trans Eastward Param Monthly Mean at Surface, degC m/s)
ulflx (Zonal Latent Heat Parameter Monthly Mean at Surface, grams/kg m/s)
upstr (u-wind Stress Monthly Mean at Surface, m^2/s^2)
uspeh (Latent Heat Trans Eastward Param Monthly Mean at Surface, grams/kg m/s)
uwnd (u-wind Monthly Mean at Surface, m/s)
vairt (Sensible Heat Trans Northward Param Monthly Mean at Surface, degC m/s)
... (6 more variables)


ICOADS, 1-degree, Enhanced, Monthly, 1960-present

This dataset has the 1-degree, Global, Enhanced, simple gridded monthly
summary product (1960 to present) from the International Comprehensive
Ocean-Atmosphere Data Set (ICOADS), the most extensive collection of surface
marine data.
Temporal Coverage:
  * Monthly values for 1960/01 - 2007/12.
  * Preliminary monthly values for 2008/01 - present.
IMPORTANT: The time period of these products is defined in two segments.
  1. Release 2.5 1960 through 2007
  2. Following the Release 2.5 end date data are based exclusively on
     real-time GTS data with minimal quality control. These data should be
     considered preliminary and will be subject to change in new releases.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Air Temperature Monthly Mean at Surface, degC)
cldc (Cloudiness Monthly Mean at Surface, okta)
lflx (Latent Heat Parameter Monthly Mean at Surface, grams/kg m/s)
qsminq (Sat Sp Hum at Sst Minus Sp Hum Monthly Mean at Surface, grams/kg)
rhum (Relative Humidity Monthly Mean at Surface, %)
sflx (Sensible Heat Parameter Monthly Mean at Surface, degC m/s)
shum (Specific Humidity Monthly Mean at Surface, grams/kg)
slp (Sea Level Pressure Monthly Mean at Surface, millibars)
smina (Sea-air Temperature Difference Monthly Mean at Surface, degC)
sst (Sea Surface Temperature Monthly Mean at Surface, degC)
uairt (Sensible Heat Trans Eastward Param Monthly Mean at Surface, degC m/s)
ulflx (Zonal Latent Heat Parameter Monthly Mean at Surface, grams/kg m/s)
upstr (u-wind Stress Monthly Mean at Surface, m^2/s^2)
uspeh (Latent Heat Trans Eastward Param Monthly Mean at Surface, grams/kg m/s)
uwnd (u-wind Monthly Mean at Surface, m/s)
vairt (Sensible Heat Trans Northward Param Monthly Mean at Surface, degC m/s)
... (6 more variables)


ICOADS, 2-degree, Enhanced, Monthly, 1800-present, Lon+/-180


ICOADS, 1-degree, Enhanced, Monthly, 1960-present, Lon+/-180


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

This dataset has daily Wind Stress 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)
TX_442 (Zonal Wind Stress, N/m2)
TY_443 (Meridional Wind Stress, N/m2)
TAU_440 (Wind Stress, N/m2)
TD_445 (Wind Stress Direction, degrees_true)
QTAU_5440 (Wind Stress Quality)


ICOADS, 2-degree, Enhanced, Monthly, Long Term Mean 1971-2000

This dataset has the long term mean (monthly climatology) of the 2-degree,
Global, Enhanced, simple gridded monthly summary product (1971 - 2000) from
the International Comprehensive Ocean-Atmosphere Data Set (ICOADS), the most
extensive collection of surface marine data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Air Temperature Monthly Long Term Mean at Surface, degC)
cldc (Cloudiness Monthly Long Term Mean at Surface, okta)
lflx (Latent Heat Parameter Monthly Long Term Mean at Surface, grams/kg m/s)
qsminq (Sat Sp Hum at Sst Minus Sp Hum Monthly Long Term Mean at Surface, grams/kg)
rhum (Relative Humidity Monthly Long Term Mean at Surface, %)
sflx (Sensible Heat Parameter Monthly Long Term Mean at Surface, degC m/s)
shum (Specific Humidity Monthly Long Term Mean at Surface, grams/kg)
slp (Sea Level Pressure Monthly Long Term Mean at Surface, millibars)
smina (Sea-air Temperature Difference Monthly Long Term Mean at Surface, degC)
sst (Sea Surface Temperature Monthly Long Term Mean at Surface, degC)
uairt (Sensible Heat Trans Eastward Param Monthly Long Term Mean at Surface, degC m/s)
ulflx (Zonal Latent Heat Parameter Monthly Long Term Mean at Surface, grams/kg m/s)
upstr (u-wind Stress Monthly Long Term Mean at Surface, m^2/s^2)
uspeh (Latent Heat Trans Eastward Param Monthly Long Term Mean at Surface, grams/kg m/s)
uwnd (u-wind Monthly Long Term Mean at Surface, m/s)
vairt (Sensible Heat Trans Northward Param Monthly Long Term Mean at Surface, degC m/s)
vlflx (Meridional Latent Heat Parameter Monthly Long Term Mean at Surface, grams/kg m/s)
vpstr (v-wind Stress Monthly Long Term Mean at Surface, m^2/s^2)
vspeh (Latent Heat Trans Northward Param Monthly Long Term Mean at Surface, grams/kg m/s)
vwnd (v-wind Monthly Long Term Mean at Surface, m/s)
wspd (Scalar Wind Monthly Long Term Mean at Surface, m/s)
wspd3 (Scalar Wind Cubed Monthly Long Term Mean at Surface, m**3/s**3)


ICOADS, 2-degree, Enhanced, Monthly, Long Term Mean 1971-2000, Lon+/-180


PMEL EcoFOCI Early Arctic Data, 1986-1991

Pacific Marine Environmental Laboratory (PMEL) Fisheries-Oceanography Cooperative Investigations (FOCI) Early Arctic Data, 1987 - 1991

cdm_data_type = Profile
VARIABLES:
prof
id (profile id)
cast (cast number)
cruise (Cruise name)
time (seconds since 1970-01-01T00:00:00Z)
longitude (station longitude, degrees_east)
lon360 (station longitude 360, degrees_east)
latitude (station latitude, degrees_north)
depth (m)
ocean_temperature_1 (Temperature 1
, Degree_C)
ocean_cox_salinity_1 (sea_water_practical_salinity, PSU)
ocean_practical_salinity_1 (Salinity 1 (PSU PSS-78)
, PSU)
ocean_sigma_t (Sigma-T, kg m-3)


SIO Hydrographic data. See https://wp.calcofi.org/wp/sampling-info/methods/bottle-sampling-methods/

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
cst_cnt (Cast Count)
cruise_id
cruise
cruz_sta (Cruise ID)
dbsta_id (CalCOFI Line and Station)
cast_id
sta_id (Line and Station)
quarter (Quarter of Year)
sta_code (Station)
distance (Distance from shore, nautical miles)
date
year
month
julian_date
julian_day
time_string (Time of Cast)
lat_deg (latitude_degrees, degrees)
lat_min (latitude_minutes, minutes)
lat_hem (latitude_hemisphere)
lon_deg (longitude_degrees, degrees)
lon_min (longitude_minutes, minutes)
lon_hem (longitude_hemisphere)
rpt_line (Reported Line Number)
st_line (Nominal CalCOFI Line)
... (35 more variables)


NOAA CoastWatch, Sea Surface Height Anomalies and Geostrophic Currents from Altimetry, Global, 2017-present, EXPERIMENTAL

The altimetry data are from RADS (http://rads.tudelft.nl/rads/rads.shtml), the Radar Altimetry Database System, first developed at Delft University of Technology, now also at the NOAA and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The RADS data for each mission is updated with state of the art corrections for tides, atmospheric path delay, etc. Because they are all computed consistently between the various missions, this avoids the possibility of introducing biases and drifts because of the different implementation of the various corrections by different agencies. The goals of RADS are to provide a homogenous dataset of sea level anomalies, wave heights, and wind speeds, along with database selection and analysis tools.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea Level Anomalies, m)
ugos (Absolute Geostrophic Velocity: Zonal Component, m s-1)
vgos (Absolute Geostrophic Velocity: Meridian Component, m s-1)

NOAA/NESDIS Center for Satellite Applications and Research


NOAA CoastWatch, Sea Surface Height Anomalies and Geostrophic Currents from Altimetry, Global, 2017-present, EXPERIMENTAL, Lon0360


PMEL EcoFOCI Shelikof Line 8 Data, 1981-open

Pacific Marine Environmental Laboratory (PMEL) Fisheries-Oceanography Cooperative Investigations (FOCI) Shelikof Line 8 Data

cdm_data_type = Profile
VARIABLES:
prof
id (profile id)
cast (cast number)
cruise (Cruise name)
time (seconds since 1970-01-01T00:00:00Z)
longitude (station longitude, degrees_east)
lon360 (station longitude 360, degrees_east)
latitude (station latitude, degrees_north)
depth (m)
ocean_temperature_1 (Temperature 1
, Degree_C)
ocean_cox_salinity_1 (sea_water_practical_salinity, PSU)
ocean_chlorophyll_fluorescence_raw (Raw Chlorophyll Flourescence
, volts)
photosynthetically_active_radiation (Photosynthetically Active Radiation
, microEin cm-2 s-1)
ocean_sigma_t (Sigma-T, kg m-3)
ocean_chlorophyll_a_concentration_factoryCal (Chlorophyll a Concentration (Factory Calibration)
, micrograms/L)
ocean_dissolved_oxygen_concentration_1_mMperkg (Dissolved Oxygen Concentration 1 mMoles/kg
, micromoles/kg)
ocean_dissolved_oxygen_concentration_2_mMperkg (mole_concentration_of_dissolved_molecular_oxygen_in_sea_water, micromoles/kg)
ocean_dynamic_height (Dynamic Height, dynamic meters)
ocean_oxygen_saturation_1 (Oxygen Percent Saturation 1
, percent saturation)
ocean_practical_salinity_1 (Salinity 1 (PSU PSS-78)
, PSU)
ocean_practical_salinity_2 (Salinity 2 (PSU PSS-78)
, PSU)
ocean_temperature_2 (Temperature 2
, Degree_C)
photosynthetically_active_radiation_raw (Raw Photosynthetically Active Radiation
, volts)
transmittance_percentage (Percent Light Transmittance, percent)


NEOWAVE Regional Tsunami Model: Guam: Apra Harbor

Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Apra Harbor on the island of Guam, categorized by earthquake magnitude and subduction zone. Offshore data are gridded at approximately 90-m resolution while in-harbor data are approximately 9-m resolution. Includes offshore surge and current based on maximum considered tsunamis as well as in-harbor hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Mariana, Nankai, Philippine, and New Guinea subduction zones. Data are referenced to the WGS84 coordinate system, and the vertical datum is mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from East Philippines Mw 8.1, meters second-1)
current_event02 (current from East Philippines Mw 8.3, meters second-1)
current_event03 (current from East Philippines Mw 8.5, meters second-1)
current_event04 (current from Mariana Mw 7.6, meters second-1)
current_event05 (current from Mariana Mw 7.8, meters second-1)
current_event06 (current from Mariana Mw 8.0, meters second-1)
current_event07 (current from Nankai Mw 8.3, meters second-1)
current_event08 (current from Nankai Mw 8.5, meters second-1)
current_event09 (current from Nankai Mw 8.7, meters second-1)
current_event10 (current from New Guinea Mw 8.4, meters second-1)
current_event11 (current from New Guinea Mw 8.6, meters second-1)
current_event12 (current from New Guinea Mw 8.8, meters second-1)
drawdown_event01 (drawdown from East Philippines Mw 8.1, meters)
drawdown_event02 (drawdown from East Philippines Mw 8.3, meters)
drawdown_event03 (drawdown from East Philippines Mw 8.5, meters)
drawdown_event04 (drawdown from Mariana Mw 7.6, meters)
... (20 more variables)

Pacific Islands Ocean Observing System (PacIOOS)


NEOWAVE Regional Tsunami Model: Guam: Agana and Tumon Bays

Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for adjacent Agana and Tumon Bays along the northwest shore of the island of Guam, categorized by earthquake magnitude and subduction zone. Offshore data are gridded at approximately 90-m resolution while in-harbor data are approximately 9-m resolution. Includes offshore surge and current based on maximum considered tsunamis as well as in-harbor hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Mariana, Nankai, Philippine, and New Guinea subduction zones. Data are referenced to the WGS84 coordinate system, and the vertical datum is mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from East Philippines Mw 8.0, meters second-1)
current_event02 (current from East Philippines Mw 8.2, meters second-1)
current_event03 (current from East Philippines Mw 8.4, meters second-1)
current_event04 (current from Mariana Mw 7.8, meters second-1)
current_event05 (current from Mariana Mw 8.0, meters second-1)
current_event06 (current from Mariana Mw 8.2, meters second-1)
current_event07 (current from Nankai Mw 8.3, meters second-1)
current_event08 (current from Nankai Mw 8.5, meters second-1)
current_event09 (current from Nankai Mw 8.7, meters second-1)
current_event10 (current from New Guinea Mw 8.4, meters second-1)
current_event11 (current from New Guinea Mw 8.6, meters second-1)
current_event12 (current from New Guinea Mw 8.8, meters second-1)
drawdown_event01 (drawdown from East Philippines Mw 8.0, meters)
drawdown_event02 (drawdown from East Philippines Mw 8.2, meters)
drawdown_event03 (drawdown from East Philippines Mw 8.4, meters)
... (21 more variables)


NEOWAVE Regional Tsunami Model: Guam: Agat Marina

Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Agat Marina along the southwest shore of the island of Guam, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Mariana, Nankai, Philippine, and New Guinea subduction zones. Data are gridded at approximately 5-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from East Philippines Mw 7.6, meters second-1)
current_event02 (current from East Philippines Mw 7.7, meters second-1)
current_event03 (current from East Philippines Mw 7.8, meters second-1)
current_event04 (current from East Philippines Mw 7.9, meters second-1)
current_event05 (current from East Philippines Mw 8.0, meters second-1)
current_event06 (current from East Philippines Mw 8.1, meters second-1)
current_event07 (current from East Philippines Mw 8.2, meters second-1)
current_event08 (current from East Philippines Mw 8.3, meters second-1)
current_event09 (current from East Philippines Mw 8.4, meters second-1)
current_event10 (current from East Philippines Mw 8.5, meters second-1)
current_event11 (current from Mariana Mw 7.2, meters second-1)
current_event12 (current from Mariana Mw 7.3, meters second-1)
current_event13 (current from Mariana Mw 7.4, meters second-1)
current_event14 (current from Mariana Mw 7.5, meters second-1)
current_event15 (current from Mariana Mw 7.6, meters second-1)
current_event16 (current from Mariana Mw 7.7, meters second-1)
current_event17 (current from Mariana Mw 7.8, meters second-1)
... (124 more variables)


NEOWAVE Regional Tsunami Model: Guam: Agat Bay

Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for Agat Bay along the southwest shore of the island of Guam, categorized by earthquake magnitude and subduction zone. Includes nearshore hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Mariana, Nankai, Philippine, and New Guinea subduction zones. Data are gridded at approximately 20-m resolution referenced to the WGS84 coordinate system and use a vertical datum of mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
current_event01 (current from East Philippines Mw 7.6, meters second-1)
current_event02 (current from East Philippines Mw 7.7, meters second-1)
current_event03 (current from East Philippines Mw 7.8, meters second-1)
current_event04 (current from East Philippines Mw 7.9, meters second-1)
current_event05 (current from East Philippines Mw 8.0, meters second-1)
current_event06 (current from East Philippines Mw 8.1, meters second-1)
current_event07 (current from East Philippines Mw 8.2, meters second-1)
current_event08 (current from East Philippines Mw 8.3, meters second-1)
current_event09 (current from East Philippines Mw 8.4, meters second-1)
current_event10 (current from East Philippines Mw 8.5, meters second-1)
current_event11 (current from Mariana Mw 7.2, meters second-1)
current_event12 (current from Mariana Mw 7.3, meters second-1)
current_event13 (current from Mariana Mw 7.4, meters second-1)
current_event14 (current from Mariana Mw 7.5, meters second-1)
current_event15 (current from Mariana Mw 7.6, meters second-1)
current_event16 (current from Mariana Mw 7.7, meters second-1)
current_event17 (current from Mariana Mw 7.8, meters second-1)
... (124 more variables)