avhrr-coldest-pixel
eng
UTF8
dataset
service
John Kerfoot
Rutgers University DMCS
848-932-3344
71 Dudley Road
New Brunswick
NJ
08901
USA
kerfoot@marine.rutgers.edu
pointOfContact
2024-03-29
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
4
column
2636
0.01
row
1634
0.009999999999999998
unknown
1
temporal
3441
86927.42441860466
area
Daily Daylight-Hours AVHRR Coldest Pixel Composite
2024-03-29
creation
ruwrf-archive.marine.rutgers.edu
avhrr-coldest-pixel
Laura Nazzaro
Rutgers University
nazzaro@marine.rutgers.edu
rucool.marine.rutgers.edu
information
web browser
Background Information
Background information from the source
information
originator
Scott Glenn, Travis Miles, Michael Crowley, Joe Brodie, Laura Nazzaro
contributor
This product is a daily coldest pixel composite using NOAA-Advanced Very High Resolution Radiometer (AVHRR) satellite Sea Surface Temperature (SST) declouded based on reflectivity in the visible spectrum. This method of declouding is limited to daylight hours, but lets in cold water that often gets flagged as clouds based on other declouding algorithms, making this product a useful tool for identifying upwelling regions and storm cooling earlier than they are typically seen in other SST products.
This product supported by the Board of Public Utilities.
Laura Nazzaro
Rutgers University
nazzaro@marine.rutgers.edu
rucool.marine.rutgers.edu
information
web browser
Background Information
Background information from the source
information
pointOfContact
advanced
avhrr
coldest
composite
control
daily
data
day
daylight
daylight-hours
earth
flag
high
hours
ocean
oceans
pixel
quality
radiometer
resolution
rutgers
science
sea
sst
status
surface
temperature
university
very
vhrr
theme
Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature
theme
GCMD Science Keywords
Rutgers University
project
time
depth
latitude
longitude
sea_surface_temperature
sea_surface_temperature_status_flag
theme
CF Standard Name Table v52
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.
Rutgers University
largerWorkCitation
project
Unidata Common Data Model
Grid
largerWorkCitation
project
eng
geoscientificInformation
1
-83.25
-56.9
31.0
47.33
seconds
2013-09-01T00:00:00Z
2023-02-21T23:59:00Z
Daily Daylight-Hours AVHRR Coldest Pixel Composite
2024-03-29
creation
Laura Nazzaro
Rutgers University
nazzaro@marine.rutgers.edu
rucool.marine.rutgers.edu
information
web browser
Background Information
Background information from the source
information
originator
Scott Glenn, Travis Miles, Michael Crowley, Joe Brodie, Laura Nazzaro
contributor
This product is a daily coldest pixel composite using NOAA-Advanced Very High Resolution Radiometer (AVHRR) satellite Sea Surface Temperature (SST) declouded based on reflectivity in the visible spectrum. This method of declouding is limited to daylight hours, but lets in cold water that often gets flagged as clouds based on other declouding algorithms, making this product a useful tool for identifying upwelling regions and storm cooling earlier than they are typically seen in other SST products.
ERDDAP griddap
1
-83.25
-56.9
31.0
47.33
seconds
2013-09-01T00:00:00Z
2023-02-21T23:59:00Z
tight
ERDDAPgriddapDatasetQueryAndAccess
http://ruwrf-archive.marine.rutgers.edu/erddap/griddap/avhrr-coldest-pixel
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 Daylight-Hours AVHRR Coldest Pixel Composite
2024-03-29
creation
Laura Nazzaro
Rutgers University
nazzaro@marine.rutgers.edu
rucool.marine.rutgers.edu
information
web browser
Background Information
Background information from the source
information
originator
Scott Glenn, Travis Miles, Michael Crowley, Joe Brodie, Laura Nazzaro
contributor
This product is a daily coldest pixel composite using NOAA-Advanced Very High Resolution Radiometer (AVHRR) satellite Sea Surface Temperature (SST) declouded based on reflectivity in the visible spectrum. This method of declouding is limited to daylight hours, but lets in cold water that often gets flagged as clouds based on other declouding algorithms, making this product a useful tool for identifying upwelling regions and storm cooling earlier than they are typically seen in other SST products.
OPeNDAP
1
-83.25
-56.9
31.0
47.33
seconds
2013-09-01T00:00:00Z
2023-02-21T23:59:00Z
tight
OPeNDAPDatasetQueryAndAccess
http://ruwrf-archive.marine.rutgers.edu/erddap/griddap/avhrr-coldest-pixel
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 Daylight-Hours AVHRR Coldest Pixel Composite
2024-03-29
creation
Laura Nazzaro
Rutgers University
nazzaro@marine.rutgers.edu
rucool.marine.rutgers.edu
information
web browser
Background Information
Background information from the source
information
originator
Scott Glenn, Travis Miles, Michael Crowley, Joe Brodie, Laura Nazzaro
contributor
This product is a daily coldest pixel composite using NOAA-Advanced Very High Resolution Radiometer (AVHRR) satellite Sea Surface Temperature (SST) declouded based on reflectivity in the visible spectrum. This method of declouding is limited to daylight hours, but lets in cold water that often gets flagged as clouds based on other declouding algorithms, making this product a useful tool for identifying upwelling regions and storm cooling earlier than they are typically seen in other SST products.
Open Geospatial Consortium Web Map Service (WMS)
1
-83.25
-56.9
31.0
47.33
seconds
2013-09-01T00:00:00Z
2023-02-21T23:59:00Z
tight
GetCapabilities
http://ruwrf-archive.marine.rutgers.edu/erddap/wms/avhrr-coldest-pixel/request?service=WMS&version=1.3.0&request=GetCapabilities
OGC:WMS
OGC-WMS
Open Geospatial Consortium Web Map Service (WMS)
download
physicalMeasurement
sst
float
coldest pixel composite sea surface temperature
sst_qc_flag
int
sea surface temperature quality control flag
John Kerfoot
Rutgers University DMCS
848-932-3344
71 Dudley Road
New Brunswick
NJ
08901
USA
kerfoot@marine.rutgers.edu
distributor
OPeNDAP
DAP/2.0
http://ruwrf-archive.marine.rutgers.edu/erddap/griddap/avhrr-coldest-pixel.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
http://ruwrf-archive.marine.rutgers.edu/erddap/griddap/avhrr-coldest-pixel.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 February-22-2023 02:38 GMT
This record was created from dataset metadata by ERDDAP Version 2.22