AndreaBozzo/ceres-open-data-index huggingface dataset:
OSU FLH Bloom Product, Aqua Modis, Northwest US, 2002-2015

Two bloom products were developed for the Oregon coast based on the observed change between running 8-day composite chlorophyll-a (CHL) and fluorescence line-height (FLH) products obtained by the MODerate Resolution Imaging Spectraradiometer aboard Aqua (MODIS-Aqua). These products were optimized to detect bloom onset via satellite in Oregon's coastal waters, a region typified by high frequency biological variance yet pervasive cloud cover (see McKibben et al. 2012, JGR-Oceans). The products are based on running relative differences between successive 8-day products: a current composite (an average of the previous 8 days) and a reference composite (an average of the 8-day period immediately preceding the current composite). The reference is differenced from the current, then the result is normalized to the reference. Resulting daily imagery highlights the geographic locations of greatest relative change observed between weekly average CHL or FLH over time, providing a way to track onset and advection of active blooms over time. Note the product is optimized to work best in Oregon's coastal waters, although it is operational further offshore and to the north or south as satellite coverage permits (coverage is increasingly better to the south and worst further offshore and to the north of Oregon). The bloom product accessible from this page is based on MODIS-Aqua FLH and shows the percent relative change in FLH over time. THIS IS AN EXPERIMENTAL PRODUCT: intended strictly for scientific evaluation by professional marine scientists.

Tags: altitude, aqua, bloom, cflh, change, fluorescence, latitude, line, longitude, modis, optical, optical properties, oregon, oregon state university, osu, percent, product, properties, relative, sea, seawater, state, time, university, water
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Wind Stress, Metop-B ASCAT, 0.25Â°, Global, Near Real Time, 2013-present (14 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 14 day composite.)

Tags: advanced, altitude, ascat, atmosphere, atmospheric, atmospheric winds, coast, coastwatch, data, degrees, downward, earth science, eastward, eumetsat, european, exploitation, global, latitude, longitude, meteorological, metop, near, near real time, noaa, noaa nmfs swfsc erd, node, ocean, ocean winds, oceans, organisation, qbtaux, real, satellites, scatterometer, stress, surface, surface_downward_eastward_stress, surface_downward_northward_stress, time, wcn, west, wind, wind stress, winds, zonal
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
OSU SST Climatology V2, MODIS Aqua, West US, 2002-2003

This suite of CHLA and SST climatology and anomaly data products are derived from daily, 0.0125 degree x 0.0125 degree, MODIS Aqua CHLA and SST fields that cover the California Current System (22N - 51N, 155W - 105W) for the 11-year period July 2002 through June 2013. These daily fields, obtained from the NOAA CoastWatch West Coast Regional Node website, were processed using a successive 3x3, 5x5 and 7x7 grid cell hybrid median filtering technique. This technique was found to effectively reduce noise in the daily fields while maintaining features and detail in important regions such as capes and headlands. The resulting median filtered daily fields were then linearly interpolated to a 0.025 degree x 0.025 degree grid and averaged to create 132 monthly mean fields. The seasonal cycles at each 0.025 degree x 0.025 degree grid cell were obtained by fitting each multiyear time series of monthly means to a nine-parameter regression model consisting of a constant plus four harmonics (frequencies of N/(1-year), N-1,4; Risien and Chelton 2008, JPO).  Even with the median filtering and the temporal averaging of the daily fields, the highly inhomogeneous nature of the MODIS fields still resulted in regression coefficients that were excessively noisy. We therefore applied the same successive 3x3, 5x5 and 7x7 hybrid median filtering technique, described above, to the regression coefficients before finally spatially smoothing the coefficients using a loess smoother (Schlax et al. 2001, JTECH) with filter cutoff wavelengths of 0.25 degree latitude by 0.25 degree longitude. The seasonal cycles were then calculated from the filtered regression coefficients for each 0.025 degree x 0.025 degree grid cell using the mean and all four harmonics. It is important to note that THIS SUITE OF DATA PRODUCTS IS HIGHLY EXPERIMENTAL and is strictly intended for scientific evaluation by experienced marine scientists.

Tags: altitude, and atmospheric sciences, aqua, atmospheric, climatology, coast, college, earth, earth science, fields, high, latitude, longitude, modis, ocean, ocean temperature, oceans, oregon, oregon state university - college of earth, resolution, sciences, sea, sea surface temperature, sea_surface_temperature, sst, state, surface, temperature, time, u.s., university, west, west coast
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
OSU SST Anomaly, MODIS Aqua, West US, July 2002-2016, DEPRECATED, Lon0360

This suite of CHLA and SST climatology and anomaly data products are derived from daily, 0.0125 degree x 0.0125 degree, MODIS Aqua CHLA and SST fields that cover the California Current System (22N - 51N, 155W - 105W) for the 11-year period July 2002 through June 2013. These daily fields, obtained from the NOAA CoastWatch West Coast Regional Node website, were processed using a successive 3x3, 5x5 and 7x7 grid cell hybrid median filtering technique. This technique was found to effectively reduce noise in the daily fields while maintaining features and detail in important regions such as capes and headlands. The resulting median filtered daily fields were then linearly interpolated to a 0.025 x 0.025 degree grid and averaged to create 132 monthly mean fields. The seasonal cycles at each 0.025 degree x 0.025 degree grid cell were obtained by fitting each multiyear time series of monthly means to a nine-parameter regression model consisting of a constant plus four harmonics (frequencies of N/(1-year), N-1,4; Risien and Chelton 2008, JPO).  Even with the median filtering and the temporal averaging of the daily fields, the highly inhomogeneous nature of the MODIS fields still resulted in regression coefficients that were excessively noisy. We therefore applied the same successive 3x3, 5x5 and 7x7 hybrid median filtering technique, described above, to the regression coefficients before finally spatially smoothing the coefficients using a loess smoother (Schlax et al. 2001, JTECH) with filter cutoff wavelengths of 0.25 degree latitude by 0.25 degree longitude. The seasonal cycles were then calculated from the filtered regression coefficients for each 0.025 degree x 0.025 degree grid cell using the mean and all four harmonics. It is important to note that THIS SUITE OF DATA PRODUCTS IS HIGHLY EXPERIMENTAL and is strictly intended for scientific evaluation by experienced marine scientists.

Tags: altitude, and atmospheric sciences, anomaly, aqua, atmospheric, coast, college, earth, earth science, fields, high, land, land surface, land surface temperature, land temperature, latitude, longitude, modis, ocean, ocean temperature, oceans, oregon, oregon state university - college of earth, resolution, sciences, sea, sea surface temperature, sst, state, surface, surface_temperature_anomaly, temperature, time, u.s., university, west, west coast
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
FNMOC Wind and Ekman Transport Data, 360x180, Monthly, from 6-hr Pressure, Lon+/-180

Global monthly derived winds and Ekman transports can be obtained for any
point on the ocean (Northern Hemisphere: 1967 - present, Southern Hemisphere:
1981 - present).

ERD was established at the U.S. Navy Fleet Numerical Meteorology and
Oceanography Center (FNMOC) to take advantage of the Navy's global
oceanographic and meteorological databases. FNMOC produces operational
forecasts of the state of the atmosphere and the ocean several times daily
and maintains archives of several important parameters, such as sea level
pressure and temperature. ERD derives a number of well-known environmental
data and index products which are routinely distributed to researchers at
many state and federal laboratories, as well as to academic and international
researchers.

Tags: 360x180, 6-hr, air, air_pressure, atmosphere, atmospheric, atmospheric pressure, atmospheric pressure measurements, atmospheric winds, component, curl, currents, data, downward, earth science, east, east-west, eastward, ekman, erd, fnmoc, from, latitude, level, longitude, magnitude, measurements, monthly, msl, noaa, noaa erd, north, north-south, northward, pressure, reduced, sea, sea level pressure, south, speed, static, static pressure, stress, surface, surface winds, surface_downward_eastward_stress, surface_downward_northward_stress, time, transport, west, wind, wind stress, wind_speed, winds, x_wind, y_wind
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
VIIRSN, Suomi-NPP, Level-3 SMI, NASA, Global, 4km, Chlorophyll a, OCI Algorithm, v2016, 2012-2017, Monthly, DEPRECATED

THIS VERSION WAS DISCONTINUED on 2017-12-01. SEE THE NEW erdVH2018 DATASETS. Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll a, OCI Algorithm, Monthly 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. (This version of the VH data was first released on 2016-04-01.)

Tags: 4km, chemistry, chlorophyll, color, composite, concentration, concentration_of_chlorophyll_in_sea_water, earth science, gsfc, image, joint, jpss, latitude, level, level-3, longitude, mapped, mean, monthly, nasa, noaa, npoess, npp, obpg, ocean, ocean biology processing group (nasa/gsfc/obpg), ocean chemistry, ocean color, oceans, orbiting, polar, satellite, sea, seawater, smi, standard, suomi, time, viirs, viirsn, water
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Chlorophyll-a, Orbview-2 SeaWiFS, R2018.0, 0.1Â°, Global, 1997-2010 (1 Day Composite), Lon0360

NASA GSFC Ocean Color Web distributes science-quality chlorophyll-a
concentration data from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS)
on the Orbview-2 satellite. This version is the 2018.0 Reprocessing (R2018.0). https://oceancolor.gsfc.nasa.gov/reprocessing/r2018/seawifs/

The SeaWiFS instrument was launched by Orbital Sciences Corporation on the
OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from
September 1997 until the end of mission in December 2010. SeaWiFS had 8
spectral bands from 412 to 865 nm. It collected global data at 4 km
resolution, and local data (limited onboard storage and direct broadcast)
at 1 km. The mission and sensor were optimized for ocean color measurements,
with a local noon (descending) equator crossing time orbit, fore-and-aft
tilt capability, full dynamic range, and low polarization sensitivity.

Tags: algorithm, biology, center, chemistry, chlorophyll, color, concentration, concentration_of_chlorophyll_in_sea_water, data, earth science, field, field-of-view, flight, goddard, group, gsfc, image, l3, latitude, level, level-3, longitude, mapped, nasa, noaa, obpg, ocean, ocean biology processing group (nasa/gsfc/obpg), ocean chemistry, ocean color, ocean optics, oceans, oci, optics, orbview, orbview-2, palette, processing, sea, sea-wide, seawater, seawifs, sensor, smi, space, standard, time, view, water, wide
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Chlorophyll a, North Pacific, NOAA VIIRS, 750m resolution, 2015-present (3 Day Composite)

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.

Tags: 1-day, 750m, altitude, center, chemistry, chla, chlorophyll, chlorophyll-a, coastwatch, color, composite, concentration, data, day, earth science, erd, fisheries, imager, imager/radiometer, imaging, infrared, latitude, longitude, marine, mass_concentration_chlorophyll_concentration_in_sea_water, national, near, nmfs, noaa, noaa nmfs swfsc erd, north, npp, nrt, ocean, ocean chemistry, ocean color, oceans, orbiting, pacific, partnership, polar, polar-orbiting, radiometer, real, resolution, science, sea, seawater, service, southwest, suite, swfsc, time, viirs, visible, water
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Wind Diffusivity Current, Metop-A ASCAT, 0.25Â°, Global, Near Real Time, 2009-present (1 Day)

NOAA CoastWatch distributes science quality Ekman current (in zonal, meridional, and modulus sets) and Ekman upwelling data.  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 wind velocity to wind stress and wind stress curl, and finally to Ekman current and Ekman upwelling. (This is a 1 day composite.)

Tags: advanced, altitude, ascat, circulation, coast, coastwatch, coastwatch (https://coastwatch.noaa.gov/), current, data, degrees, diffusivity, driven, earth science, eumetsat, european, exploitation, global, latitude, longitude, meteorological, metop, near, near real time, noaa, node, ocean, ocean circulation, oceans, organisation, qauekm, real, satellites, scatterometer, time, wcn, west, wind, wind-driven, wind-driven circulation, zonal
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Topography, NOAA Coastal Relief Model, 3 arc second, Vol. 5 (Western Gulf of Mexico), Lon0360

This Coastal Relief Gridded database provides the first comprehensive view of the US Coastal Zone; one that extends from the coastal state boundaries to as far offshore as the NOS hydrographic data will support a continuous view of the seafloor. In many cases, this seaward limit reaches out to, and in places even beyond the continental slope. The gridded database contains data for the entire coastal zone of the conterminous US, including Hawaii and Puerto Rico.

Tags: altitude, arc, atmosphere, bathymetry, bathymetry/seafloor topography, coastal, earth science, gulf, gulf of mexico, latitude, longitude, mexico, model, ngdc, noaa, noaa ngdc, oceans, relief, second, station, topography, vol., western
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
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

Tags: air, air temperature, air_pressure, air_temperature, atmosphere, atmospheric, atmospheric pressure, atmospheric pressure measurements, atmospheric temperature, atmospheric water vapor, atmospheric winds, calender, conductivity, control, course, data, date, day, density, direction, earth, earth science, electrical, explorer, file, flags, from, fsu, ground, heading, history, humidity, information, latitude, level, longitude, measurements, meteorological, meteorology, oceans, okeanos, over, platform, pressure, quality, relative, relative_humidity, salinity, salinity/density, sea, sea level pressure, sea_water_electrical_conductivity, sea_water_practical_salinity, sea_water_temperature, seawater, speed, static, static pressure, surface, surface air temperature, surface winds, temperature, time, vapor, water, wind, wind_from_direction, wind_speed, winds
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
SST, Terra MODIS, NPP, Gulf of Mexico, Daytime (11 microns), 2000-2012 (14 Day Composite)

NOAA CoastWatch provides SST data from NASA's Terra Spacecraft.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.

Tags: 14-day, altitude, coastwatch (https://coastwatch.noaa.gov/), composite, day, daytime, degrees, earth science, gsfc, gulf, latitude, longitude, mexico, microns, modis, nasa, npp, ocean, ocean temperature, oceans, sea, sea surface temperature, sea_surface_temperature, sst, surface, temperature, terra, time
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1980-present, Position

This dataset has quarterly Position 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.  Quarterly data is an average of monthly values collected during a 3 month period.  A minimum of 2 monthly values are required to compute a quarterly average.  This dataset contains realtime and delayed mode data (see the 'source' variable).  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

Tags: buoys, depth, identifier, latitude, longitude, noaa, pirata, pmel, position, precise, quality, quarterly, rama, station, tao, tao/triton, time, triton
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2013-present, Divergence and Modulus (1 Day), Lon+/-180

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)

Tags: advanced, altitude, ascat, coast, coastwatch, data, degrees, divergence, divergence_of_wind, earth science, eumetsat, european, exploitation, global, latitude, longitude, meteorological, metop, near, near real time, noaa, noaa nmfs swfsc erd, node, nrt, ocean, ocean winds, oceans, organisation, qmdivw, real, satellites, scatterometer, surface, surface winds, time, wcn, west, wind, winds
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Topography, NOAA Coastal Relief Model, 3 arc second, Vol. 10 (Hawaii)

This Coastal Relief Gridded database provides the first comprehensive view of the US Coastal Zone; one that extends from the coastal state boundaries to as far offshore as the NOS hydrographic data will support a continuous view of the seafloor. In many cases, this seaward limit reaches out to, and in places even beyond the continental slope. The gridded database contains data for the entire coastal zone of the conterminous US, including Hawaii and Puerto Rico.

Tags: altitude, arc, atmosphere, bathymetry, bathymetry/seafloor topography, coastal, earth science, hawaii, latitude, longitude, model, ngdc, noaa, noaa ngdc, oceans, relief, second, station, topography, vol.
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Fluorescence Line Height, Aqua MODIS, NPP, East US, 2002-2012 (14 Day Composite)

MODIS measures chlorophyll fluorescence, which gives insight into the physiology of phytoplankton in the ocean. When phytoplankton are under stress, the rate at which the fluoresce can be decoupled from the rate of photosynthetic productivity.

Tags: 14-day, altitude, aqua, coastwatch, coastwatch (https://coastwatch.noaa.gov/), composite, day, degrees, earth science, east, fluorescence, latitude, line, longitude, modis, noaa, npp, ocean, ocean optics, oceans, optical, optical properties, optics, properties, time, wcn
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
WaveWatch III (WW3) Global Wave Model

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.

Tags: depth, earth science, earth science services, latitude, longitude, models, ocean general circulation models (ogcm)/regional ocean models, ocean waves, oceans, pacific islands ocean observing system (pacioos), sea_surface_swell_wave_from_direction, sea_surface_swell_wave_period, sea_surface_swell_wave_significant_height, sea_surface_wave_from_direction, sea_surface_wave_period_at_variance_spectral_density_maximum, sea_surface_wave_significant_height, sea_surface_wind_wave_from_direction, sea_surface_wind_wave_period, sea_surface_wind_wave_significant_height, significant wave height, time, wave period, wave speed/direction, weather research/forecast models
Organization: National Oceanic and Atmospheric Administration, Department of Commerce