The West Coast Node ERDDAP data server has over 1700 datasets. On this catalog page, we have listed the only datasets that are most often used by visitors to our website. To see a full listing of the available dataset, please click on "ERDDAP Server" link above within the "Quick List" menu item.
Title
These VIIRS SST data are produced using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) SST system from the afternoon NPP and N20 satellites.
Links to ERDDAP Data
SNPP Daily%5D%5B(0.0)%5D%5B(89.75625000000001):(-89.75625000000002)%5D%5B(-179.98125000000002):(179.98124999999996)%5D&.draw=surface&.vars=longitude%7Clatitude%7Csea_surface_temperature&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.legend=Off&.trim=1)
Title
This is the near real-time version of Sea Surface Temperature (SST), from Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua, Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2022.0.
Links to ERDDAP Data
Near Real-Time Daily%5D%5B(89.97916):(-89.97918)%5D%5B(0.02083333):(359.97917684)%5D&.draw=surface&.vars=longitude%7Clatitude%7CsstMasked&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.trim=1&.legend=Off)
Title
This is the delayed, science-quality version of Sea Surface Temperature (SST), masked, from Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua, Level-3 Standard Mapped Image (SMI), from NASA GSFC OBPG, R2022.0.
Links to ERDDAP Data
Science Quality Daily v.2022 Science Quality 8-Day v.2022 Science Quality Monthly v.2022
Title
NOAA Advanced Clear-Sky Processor for Ocean L3S-LEO SST is a family of multisensor, 0.02º resolution super-collated dataset.
Links to ERDDAP Data
Daily%5D%5B(-89.975):(89.975)%5D%5B(-179.975):(179.975)%5D&.draw=surface&.vars=longitude%7Clatitude%7Canalysed_sst&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.legend=Off&.trim=1)
Title
Analyzed blended sea surface temperature over the global ocean using night only input data. An SST estimation scheme which combines multi-satellite retrievals of sea surface temperature datasets available from polar orbiters, geostationary InfraRed (IR) and microwave sensors into a single global analysis. This global SST analysis provides a daily gap-free map of the foundation sea surface temperature at a 0.05º spatial resolution.
Title
A Sea Surface Temperature (SST) Anomaly product created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project).
][(-89.99):(89.99)][(-179.99):(180.0)]&.draw=surface&.vars=longitude|latitude|analysed_sst&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
CoralTemp 5km gap-free analysed blended sea surface temperature over the global ocean. CoralTemp is derived from three different but related 5km daily gap-free SST data sets and provides an internally consistent SST product that stretches from 1985 to present: Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) Sea Surface Temperature Reanalysis (1985-2002), Geo-Polar Blended Night-only Sea Surface Temperature Reanalysis (2002-2016), Geo-Polar Blended Night-only Sea Surface Temperature Near Real-Time (2017 to present).
%5D[(89.975):(-89.975)%5D[(-179.975):(179.975)%5D&.draw=surface&.vars=longitude|latitude|sea_surface_temperature&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Version 5.3 L3-Collated (L3C) sea surface temperature. This netCDF-4 file contains sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. These data were created using Version 5.3 of the Pathfinder algorithm.
][(89.97917):(-89.97916)][(-179.9792):(179.9792)]&.draw=surface&.vars=longitude|latitude|sea_surface_temperature&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Inter. NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version v02r01, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field.
Links to ERDDAP Data
SST Science Quality SST Near Real-Time Anomaly Science Quality Anomaly Near Real-Time][(0.0)][(-89.875):(89.875)][(0.125):(359.875)]&.draw=surface&.vars=longitude|latitude|sst&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
These high-resolution SST data are produced using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) SST system NPP VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.
Links to ERDDAP Data
3-Day][(0.0)][(41.753893186176605):(30.860437023511412)][(-128.2508393601582):(-114.7491606398418)]&.draw=surface&.vars=longitude|latitude|sst&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Moderate Resolution Imaging Spectroradiometer (MODIS)
NOAA CoastWatch provides SST data from NASA's Aqua Spacecraft. Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.
][(0.0)][(22.0):(51.0)][(205.0):(255.0)]&.draw=surface&.vars=longitude|latitude|sst&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR from the ABI sensor on the GOES-16 satellite covering the US West Coast and more. L2P algorithm V2.70; L3U algorithm V4.1.5. SSTs are a weighted average of the SSTs of contributing pixels. .
%5D%5B(89.99):(-89.99)%5D%5B(-179.99):(179.99)%5D&.draw=surface&.vars=longitude%7Clatitude%7Csea_surface_temperature&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRSN) produced by NOAA/STAR Ocean Color Team through NOAA Multi-Sensor Level 1 to Level 2 processing system (MSL12) using the Ocean Color improved satellite data record. This is Science Quality data, reprocessed in 2017.
SNPP Links to ERDDAP Data
SQ Daily SQ Weekly SQ Monthly NRT Daily NRT Weekly
NOAA-20 Links to ERDDAP Data (NOAA-20 NRT data is Science Quality)
Daily Weekly][(0.0)][(89.75625):(-89.75626)][(-179.9812):(179.9813)]&.draw=surface&.vars=longitude|latitude|chlor_a&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
The MODIS (Moderate Resolution Imaging Spectro-radiometer) sensor was deployed onboard the NASA Aqua satellite. It is a multi-disciplinary sensor providing data for the ocean, land, aerosol, and cloud research and is used for detecting chlorophyll-a concentrations in the world's oceans, among other applications. Aqua MODIS views the entire Earth's surface every 2 days, acquiring data in 36 spectral bands. This dataset was reprocessed by NASA in 2018.
][(89.97916):(-89.97917)][(-179.9792):(179.9792)]&.draw=surface&.vars=longitude|latitude|chlorophyll&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
The NASA SeaWiFS (Sea-viewing Wide Field-of-view Sensor) sensor onboard the SeaStart spacecraft was used for detecting and measuring global sea-surface chlorophyll-a concentrations throughout the world's oceans from 1997 through 2010. During that time, the satellite was able to establish an unprecedented time series of global chlorophyll-a concentrations. The sensor started experiencing issues around 2008 leading to significant missing data in 2008-2010, so it is recommended to be cautious with data post 2007. This dataset was reprocessed by NASA in 2018.
][(89.95834):(-89.95834)][(-179.9583):(179.9584)]&.draw=surface&.vars=longitude|latitude|chlorophyll&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
R2018 version of Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll a, OCI Algorithm, 8-Day composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS), as processed by NASA GSFC Ocean Biology Processing Group (OBPG). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation.
SNPP Links to ERDDAP Data
Daily Weekly Monthly
NOAA-20 Links to ERDDAP Data (NOAA-20 NRT data is Science Quality)
Daily Weekly][(89.97916):(-89.97917)][(-179.9792):(179.9792)]&.draw=surface&.vars=longitude|latitude|chla&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
This datasets blends chlorophyll data from the NOAA-SNPP and NOAA-20 VIIRS ocean color sensors. A gap-filling application was employed to fill in data gaps that uses a mathematical technique based on the data interpolating empirical orthogonal function (DINEOF). This technique exploits the coherency over location and time of the data from the two satellites to infer a value at the missing location. CoastWatch serves this daily global gap-filled product at ~9 km spatial resolution in a NetCDF file format.
][(0.0)][(89.95834):(-89.95834)][(-179.9583):(179.9584)]&.draw=surface&.vars=longitude|latitude|chlor_a&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
The European Space Agency (ESA) started the Climate Change Initiative (CCI) to generate satellite-based Essential Climate Variables to allow assessing long-term trends from satellite products. The dataset is created by band-shifting and bias-correcting MERIS, MODIS and VIIRS data to match SeaWiFS data, merging the datasets and computing per-pixel uncertainty estimates. Parameters include chlorophyll a, remote sensing reflectance, diffuse attenuation coefficients, absorption coefficients, backscatter coefficients, and water classification.
][(89.97916666666667):(-89.97916666666666)][(-179.97916666666666):(179.97916666666663)]&.draw=surface&.vars=longitude|latitude|chlor_a&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
NOAA CoastWatch distributes L3 level chlorophyll a concentration data derived from measurements take by the VIIRS sensor (Visible Infrared Imaging Radiometer Suite) aboard the Suomi-NPP satellite. Chlorophyll values were calculated using NOAA-MSL12 NRT processing with LAND+CLDICE+HIGLINT+HISATZEN+HISOLZEN masking.
][(0.0)][(89.77125):(-0.10875)][(-180.03375):(-110.00625)]&.draw=surface&.vars=longitude|latitude|chla&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
The MODIS (Moderate Resolution Imaging Spectro-radiometer) sensor was deployed onboard the NASA Aqua satellite. It is a multi-disciplinary sensor providing data for the ocean, land, aerosol, and cloud research and is used for detecting chlorophyll-a concentrations in the world's oceans, among other applications. Aqua MODIS views the entire Earth's surface every 2 days, acquiring data in 36 spectral bands..
][(0.0)][(22.0):(51.0)][(205.0):(255.0)]&.draw=surface&.vars=longitude|latitude|chlorophyll&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
The MODIS (Moderate Resolution Imaging Spectro-radiometer) sensor was deployed onboard the NASA Aqua satellite. It is a multi-disciplinary sensor providing data for the ocean, land, aerosol, and cloud research and is used for detecting chlorophyll-a concentrations in the world's oceans, among other applications. Aqua MODIS views the entire Earth's surface every 2 days, acquiring data in 36 spectral bands.
][(0.0)][(-45.0):(65.0)][(120.0):(320.0)]&.draw=surface&.vars=longitude|latitude|chlorophyll&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
Diffuse attenuation coefficient for photosynthetically available radiation (KdPAR) and 490 nm wavelength (Kd490). Normalized water leaving radiance (nLw) at 410nm, 443, 486nm, 551nm, 671nm wavelengths. Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). The science quality data have a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04.
Links to ERDDAP Data
Kd490 SQ Daily Kd490 SQ Weekly Kd490 SQ Monthly Kd490 NRT Daily Kd490 NRT Weekly Kd490 NRT Monthly
KdPAR SQ Daily KdPAR SQ Weekly KdPAR SQ Monthly KdPAR NRT Daily KdPAR NRT Weekly
Title
, Particular Organic Carbon, Particular Inorganic Carbon, and Photosynthetically Available Radiation calculated from MODIS Aqua ocean color data. Primary Productivity is vertically integrated and calculated from satellite measurements of chlorophyll a, PAR, and sea surface temperature using the using the method of Behrenfield & Falkowski (Behrenfield and Falkowski, L&O 1997).
][(89.97916):(-89.97917)][(-179.9792):(179.9792)]&.draw=surface&.vars=longitude|latitude|poc&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
Diffuse attenuation coefficient at 490 nm wavelength (Kd490). Daily composite data from MODIS Aqua The science quality data have a 15-day latency.
][(89.97916):(-89.97917)][(-179.9792):(179.9792)]&.draw=surface&.vars=longitude|latitude|k490&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
, Particular Organic Carbon, Particular Inorganic Carbon, and Photosynthetically Available Radiation calculated from MODIS Aqua ocean color data. Primary Productivity is vertically integrated and calculated from satellite measurements of chlorophyll a, PAR, and sea surface temperature using the using the method of Behrenfield & Falkowski (Behrenfield and Falkowski, L&O 1997).
Links to ERDDAP Data
1° Prod Daily 1° Prod 8-Day 1° Prod Monthly
POC Daily POC 8-Day POC Monthly
][(0.0)][(89.97917938232422):(-89.97915649414062)][(-179.9792022705078):(179.9792022705078)]&.draw=surface&.vars=longitude|latitude|productivity&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
ASCAT MetOp Winds
This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. NOAA CoastWatch processes zonal and meridional winds (vector winds) to obtain scalar winds (modulus), wind stress, wind curl, wind divergence, wind driven currents, and Ekman upwelling.
Links to ERDDAP Data
Zonal and Meridional Winds (vector winds)
ASCAT A
ASCAT B
Zonal and Meridional Wind Stress (vector stress) | Scalar Stress | Curl | Ekman Upwelling
ASCAT A
ASCAT B
Wind Driven Currents| Scalar Stress | Curl | Ekman Upwelling
ASCAT A
ASCAT B
ASCAT MetOp-C | All Paramters
4hr Ascending
4hr Decending
1 day
3 day
7 day
Monthly
][(10.0)][(-75.0):(75.0)][(0.0):(360.0)]&.draw=surface&.vars=longitude|latitude|x_wind&.legend=Off&.trim=1&.colorBar=|||||&.bgColor=0xffccccff)
QuickScat Winds
Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard the NASA QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional sets. The reference height for all wind velocities is 10 meters. NOAA CoastWatch processes zonal and meridional winds (vector winds) to obtain scalar winds (modulus), wind stress, wind curl, wind divergence, wind driven currents, and Ekman upwelling.
Links to ERDDAP Data
Zonal and Meridional Winds (vector winds)
QuickScat
Zonal and Meridional Wind Stress (vector stress) | Scalar Stress | Curl | Ekman Upwelling
QuickScat
Wind Driven Currents| Scalar Stress | Curl | Ekman Upwelling
QuickScat
][(10.0)][(-75.0):(75.0)][(0.0):(360.0)],y_wind[(2009-10-16T12:00:00Z)][(10.0)][(-75.0):(75.0)][(0.0):(360.0)]&.draw=vectors&.vars=longitude|latitude|x_wind|y_wind&.color=0x000000&.bgColor=0xffccccff&.trim=1&.legend=Off)
Soil Moisture and Ocean Salinity (SMOS) Mission
Sea Surface Salinity - Near Real Time - Miras SMOS 3-Day Mean. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the ESA MIRAS SMOS Level-2. The CoastWatch L3 product ingests the SSS with values between 25 - 40 Practical Salinity Scale (PSS). These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability.
][(0.0)][(-89.875):(89.875)][(-179.875):(179.875)]&.draw=surface&.vars=longitude|latitude|sss&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Soil Moisture Active Passive (SMAP) Mission
Sea Surface Salinity - Near Real Time - SMAP Daily Composite. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the NASA Jet Propulsion Laboratory (JPL) SMAP Level-2B SSS near real time swath HDF5 files. These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability.
Links to ERDDAP Data
Daily%5D%5B(0.0)%5D%5B(-89.875):(89.875)%5D%5B(-179.875):(179.875)%5D&.draw=surface&.vars=longitude%7Clatitude%7Csss&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.trim=1&.legend=Off)
Aquarius Mission
This dataset has daily composites of Aquarius Sea Surface Salinity data, version 5. Part of NASA's Earth System Science Pathfinder (ESSP) Mission International Partnership between NASA and CONAE, Aquarius provides unprecedented global maps of surface sea water salinity (SSS) to discover how our oceans respond to climate change and the water cycle. Sea surface salinity, along with sea surface temperature, determines the sea surface density. This controls the formation of water masses in the ocean and regulates the 3-dimensional ocean circulation.
Links to ERDDAP Data
7-Day][(89.5):(-89.5)][(-179.5):(179.5)]&.draw=surface&.vars=longitude|latitude|sss&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
Title
The altimetry data are from the Radar Altimetry Database System (RADS), 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.
][(-89.875):(89.875)][(-179.875):(179.875)]&.draw=surface&.vars=longitude%7Clatitude%7Csla&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)
][(0.0)][(-75.125):(75.125)][(0.125):(359.875)]&.draw=surface&.vars=longitude|latitude|ssh&.legend=Off&.colorBar=|||||&.trim=1&.bgColor=0xffccccff)