Wind Speed, monthly means, AFSC management regions

Timeseries of monthly sea surface temperature means for AFSC management regions generated from the NOAA/NCDC Blended Monthly Global Sea Surface Winds product. AFSC management regions are defined as:  North Bering Sea - Waters in the Bering Sea north of 58 N latitude;  South Bering Sea - Waters in the Bering Sea south of 58 N latitude;  Western Aleutians - Waters between 177 E and the limits of EEZ on east from south of 55 N to the EEZ that is south of the Aleutians Islands;  Central Aleutians - Waters between 177 W and 177 E from south of 55 N to the EEZ that is south of the Aleutians Islands;  Eastern Aleutians - Waters between 170 W and 177 W from south of 55 N to the EEZ that is south of the Aleutians Islands;  Western Gulf of Alaska - Waters between 159 W and 170 W from the Alaskan coast to the EEZ;  Central Gulf of Alaska - Waters between 147 W and 159 W from the Alaskan coast to the EEZ;  Eastern Gulf of Alaska - Waters between 132.667 W and 147 W from the Alaskan coast to the EEZ.

cdm_data_type = Other
VARIABLES:
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
north_bering_wind (Wind Speed, North Bering Sea, m s-1)
south_bering_wind (Wind Speed, South Bering Sea, m s-1)
west_aleutians_wind (Wind Speed, West Aleutians, m s-1)
central_aleutians_wind (Wind Speed, Central Aleutians, m s-1)
east_aleutians_wind (Wind Speed, East Aleutians, m s-1)
west_gulf_wind (Wind Speed, West Gulf of Alaska, m s-1)
central_gulf_wind (Wind Speed, Central Gulf of Alaska, m s-1)
east_gulf_wind (Wind Speed, East Gulf of Alaska, m s-1)
north_bering_wind_stdev (Standard Deviation, North Bering Sea, m s-1)
south_bering_wind_stdev (Standard Deviation, South Bering Sea, m s-1)
west_aleutian_wind_stdev (Standard Deviation, West Aleutians, m s-1)
central_aleutian_wind_stdev (Standard Deviation, Central Aleutians, m s-1)
east_aleutians_wind_stdev (Standard Deviation, East Aleutians, m s-1)
west_gulf_wind_stdev (Standard Deviation, West Gulf of Alaska, m s-1)
central_gulf_wind_stdev (Standard Deviation, Central Gulf of Alaska, m s-1)
east_gulf_wind_stdev (Standard Deviation, East Gulf of Alaska, m s-1)
... (8 more variables)

NOAA/NMFS/SWFSC/ERD and NOAA/NESDIS/CoastWatch West Coast Node


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2006, Science Quality (8 Day Composite)

This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m Wind Speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (1 Day Composite)


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (Monthly Composite)


SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite)

This dataset contains 8-day-composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite)

This dataset contains monthly composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite)

This dataset contains 8-day-composites of nighttime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite)

This dataset contains monthly composites of nighttime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


NDBC Standard Meteorological Buoy Data, 1970-present

The National Data Buoy Center (NDBC) distributes meteorological data from
moored buoys maintained by NDBC and others. Moored buoys are the weather
sentinels of the sea. They are deployed in the coastal and offshore waters
from the western Atlantic to the Pacific Ocean around Hawaii, and from the
Bering Sea to the South Pacific. NDBC's moored buoys measure and transmit
barometric pressure; wind direction, speed, and gust; air and sea
temperature; and wave energy spectra from which significant wave height,
dominant wave period, and average wave period are derived. Even the
direction of wave propagation is measured on many moored buoys. See
https://www.ndbc.noaa.gov/measdes.shtml for a description of the measurements.

The source data from NOAA NDBC has different column names, different units,
and different missing values in different files, and other problems
(notably, lots of rows with duplicate or different values for the same time
point). This dataset is a standardized, reformatted, and lightly edited
version of that source data, created by NOAA NMFS SWFSC ERD (email:
erd.data at noaa.gov). Before 2020-01-29, this dataset only had the data
that was closest to a given hour, rounded to the nearest hour. Now, this
dataset has all of the data available from NDBC with the original time
values. If there are multiple source rows for a given buoy for a given
time, only the row with the most non-NaN data values is kept. If there is
a gap in the data, a row of missing values is inserted (which causes a nice
gap when the data is graphed). Also, some impossible data values are
removed, but this data is not perfectly clean. This dataset is now updated
every 5 minutes.

This dataset has both historical data (quality controlled, before
2022-10-01T00:00:00Z) and near real time data (less quality controlled,
which may change at any time, from 2022-10-01T00:00:00Z on).

cdm_data_type = TimeSeries
VARIABLES:
station (Station Identifier)
... (19 more variables)


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)


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)


NOAA CoastWatch, Sea Surface Height Anomalies 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