erdMurFront41USWest
eng
UTF8
dataset
service
Roy Mendelssohn
NOAA NMFS SWFSC Environmental Research Division
+1 831-420-3666
110 McAllister Road
Santa Cruz
CA
95060
USA
erd.data@noaa.gov
pointOfContact
2024-03-28
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
4
column
3001
0.01
row
2901
0.01
vertical
1
temporal
7937
86759.2741935484
area
Daily estimated MUR SST v4.1 Frontal edges, x_gradient, y_gradient and gradient magnitude, US West Coast, 2002-present
2024-03-28
creation
upwell.pfeg.noaa.gov
erdMurFront41USWest
NOAA NMFS SWFSC ERD
erd.data@noaa.gov
https://www.pfeg.noaa.gov
information
web browser
Background Information
Background information from the source
information
originator
Front Edges estimated from daily Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) v4.1 files using the Python scikit-image canny algorithm with sigma = 10., and threshold values of .8 and .9, as well as the OpenCV algorithm findContours with a minimum length of 20. The SST x-gradient, y-gradient and gradient magnitude are also included
NOAA NMFS SWFSC ERD
erd.data@noaa.gov
https://www.pfeg.noaa.gov
information
web browser
Background Information
Background information from the source
information
pointOfContact
daily
data
day
east
east-west
edge
edges
erd
estimated
frontal
gradient
high
magnitude
multi
multi-scale
mur
noaa
north
north-south
resolution
scale
sea
south
sst
surface
temperature
ultra
ultra-high
west
theme
NOAA NMFS SWFSC ERD
project
time
altitude
latitude
longitude
theme
CF Standard Name Table v55
The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, 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, of this information.
NOAA NMFS SWFSC ERD
largerWorkCitation
project
Unidata Common Data Model
Grid
largerWorkCitation
project
eng
geoscientificInformation
1
-135.0
-105.0
22.0
51.0
seconds
2002-06-01T00:00:00Z
2024-03-26T00:00:00Z
0.0
0.0
Daily estimated MUR SST v4.1 Frontal edges, x_gradient, y_gradient and gradient magnitude, US West Coast, 2002-present
2024-03-28
creation
NOAA NMFS SWFSC ERD
erd.data@noaa.gov
https://www.pfeg.noaa.gov
information
web browser
Background Information
Background information from the source
information
originator
Front Edges estimated from daily Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) v4.1 files using the Python scikit-image canny algorithm with sigma = 10., and threshold values of .8 and .9, as well as the OpenCV algorithm findContours with a minimum length of 20. The SST x-gradient, y-gradient and gradient magnitude are also included
ERDDAP griddap
1
-135.0
-105.0
22.0
51.0
seconds
2002-06-01T00:00:00Z
2024-03-26T00:00:00Z
0.0
0.0
tight
ERDDAPgriddapDatasetQueryAndAccess
https://upwell.pfeg.noaa.gov/erddap/griddap/erdMurFront41USWest
ERDDAP:griddap
ERDDAP-griddap
ERDDAP's griddap service (a flavor of OPeNDAP) for gridded data. Add different extensions (e.g., .html, .graph, .das, .dds) to the base URL for different purposes.
download
Daily estimated MUR SST v4.1 Frontal edges, x_gradient, y_gradient and gradient magnitude, US West Coast, 2002-present
2024-03-28
creation
NOAA NMFS SWFSC ERD
erd.data@noaa.gov
https://www.pfeg.noaa.gov
information
web browser
Background Information
Background information from the source
information
originator
Front Edges estimated from daily Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) v4.1 files using the Python scikit-image canny algorithm with sigma = 10., and threshold values of .8 and .9, as well as the OpenCV algorithm findContours with a minimum length of 20. The SST x-gradient, y-gradient and gradient magnitude are also included
OPeNDAP
1
-135.0
-105.0
22.0
51.0
seconds
2002-06-01T00:00:00Z
2024-03-26T00:00:00Z
0.0
0.0
tight
OPeNDAPDatasetQueryAndAccess
https://upwell.pfeg.noaa.gov/erddap/griddap/erdMurFront41USWest
OPeNDAP:OPeNDAP
OPeNDAP
An OPeNDAP service for gridded data. Add different extensions (e.g., .html, .das, .dds) to the base URL for different purposes.
download
Daily estimated MUR SST v4.1 Frontal edges, x_gradient, y_gradient and gradient magnitude, US West Coast, 2002-present
2024-03-28
creation
NOAA NMFS SWFSC ERD
erd.data@noaa.gov
https://www.pfeg.noaa.gov
information
web browser
Background Information
Background information from the source
information
originator
Front Edges estimated from daily Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) v4.1 files using the Python scikit-image canny algorithm with sigma = 10., and threshold values of .8 and .9, as well as the OpenCV algorithm findContours with a minimum length of 20. The SST x-gradient, y-gradient and gradient magnitude are also included
Open Geospatial Consortium Web Map Service (WMS)
1
-135.0
-105.0
22.0
51.0
seconds
2002-06-01T00:00:00Z
2024-03-26T00:00:00Z
0.0
0.0
tight
GetCapabilities
https://upwell.pfeg.noaa.gov/erddap/wms/erdMurFront41USWest/request?service=WMS&version=1.3.0&request=GetCapabilities
OGC:WMS
OGC-WMS
Open Geospatial Consortium Web Map Service (WMS)
download
physicalMeasurement
magnitude_gradient
float
Magnitude of SST Gradient
edges
short
Frontal Edge
x_gradient
float
East-West Gradient of SST
y_gradient
float
North-South Gradient of SST
Roy Mendelssohn
NOAA NMFS SWFSC Environmental Research Division
+1 831-420-3666
110 McAllister Road
Santa Cruz
CA
95060
USA
erd.data@noaa.gov
distributor
OPeNDAP
DAP/2.0
https://upwell.pfeg.noaa.gov/erddap/griddap/erdMurFront41USWest.html
order
Data Subset Form
ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types.
download
https://upwell.pfeg.noaa.gov/erddap/griddap/erdMurFront41USWest.graph
order
Make-A-Graph Form
ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data.
mapDigital
dataset
created from MUR SST file 20240326090000-JPL-L4_GHRSST-SSTfnd-MUR-GLOB-v02.0-fv04.1.ncusing python scikit-image canny algorithm, sigma = 10, thresholds of 0.8, 0.9 and OpenCV findContours function with minimum length 20
This record was created from dataset metadata by ERDDAP Version 2.23