AndreaBozzo/ceres-open-data-index huggingface dataset:
Regional Hydrodynamic Model Outputs of the NOAA Northern Gulf of America Operational Forecast System (NGOFS)

NOAA's National Ocean Service (NOS) has developed the Northern Gulf of America Operational Forecast System (NGOFS) including two nested Northeast and Northwest Gulf of America Operational Forecast Systems (NEGOFS/NWGOFS). NGOFS is based on a three-dimensional FVCOM model that runs on NOAA's High Performance Computing System (HPC). NGOFS provides water levels, currents, water temperature and salinity nowcast and forecast guidance as well as interpolated winds from National Weather Service products for the northern Gulf of America including seven ports at Matagorda Bay, Galveston Bay, Sabine Neches, Calcasieu/Lake Charles, Gulfport, Pascagoula Bay and Mobile Bay, six of which are CO-OPS PORTSÂ® partners. NGOFS runs four times per day and generates 6-hour nowcasts and 48-hour forecast guidance. NGOFS products include time series graphics at station locations and aerial animations for all five parameters (winds, water levels, currents, temperature and salinity).

Tags: center for operational oceanographic products and services, coastal processes, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, doc/noaa/nos/co-ops, earth science, longshore currents, models, national centers for environmental information, national climatic data center, national ocean service, nesdis, noaa, ocean temperature, ocean winds, oceans, operational models, other, salinity/density, sea surface height, surface winds, tidal currents, tides, u.s. department of commerce, water temperature
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Fundamental Climate Data Record (CDR) of AMSU-B and MHS Brightness Temperature, Version 1

The NOAA Climate Data Record (CDR) of Advanced Microwave Sounding Unit-B (AMSU-B) and Microwave Humidity Sounder (MHS) brightness temperature (Tb) in "window channels" and "water vapor" channels. The data cover a time period from 1998 to 2010. The data is roughly at 16 km resolution over the entire globe with 90 observations per scan using channels - 89, 150, 157, 183 +/- 1, 183 +/- 3, 183 +/- 7, 190 GHz. The AMSU-B sensor was flown on NOAA-15, -16, and -17 satellites. The MHS sensor was flown on NOAA-18, -19 and MetOp-A satellites and replaced the AMSU-B sensor (which has very similar attributes) and was flown on NOAA-15, -16 and -17. Visual inspections and verification of the various corrections were applied to the data to improve data accuracy.

Tags: 10 km - < 50 km or approximately .09 degree - < .5 degree, advanced microwave sounding unit-b, amsu-b, atmosphere, atmospheric - upper-air - cloud properties, atmospheric - upper-air - upper-air temperature, atmospheric - upper-air - upper-air water vapour, atmospheric temperature, atmospheric water vapor, brightness temperature, center for satellite applications and research, clouds, cryosphere, doc/noaa/nesdis/ncei, doc/noaa/nesdis/star, earth science, earth system science interdisciplinary center, geographic region, global, hourly - < daily, infrared wavelengths, land surface, liquid precipitation, metop, mhs, microwave, microwave humidity sounder, national centers for environmental information, nesdis, noaa, noaa climate data record (cdr) program, noaa onestop project, noaa poes, noaa polar orbiting environmental satellites, precipitation, rain, satellite, sea ice, snow, solid precipitation, spectral/engineering, u.s. department of commerce, umd/essic, university of maryland, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Cape Kennedy Weather Data

Digitized data taken from original weather observations taken at Cape Kennedy Air Force Station, Florida. Elements recorded are wind speed and direction, temperature, dew point, pressure, and possibly more. Observations were taken every three hours. Records are contained in standard 80 character record lengths. The reference manual to indicate the individual fields and their lengths has not been found. It is possible to identify most of the fields, but some, particularly later in the record, have not been identified.

Tags: 1 meter - < 10 meters, anemometers, atmosphere, atmospheric - surface - air pressure, atmospheric - surface - air temperature, atmospheric - surface - water vapour, atmospheric - surface - wind speed and direction, atmospheric pressure, atmospheric temperature, atmospheric winds, barometers, continent, dew point temperature, doc/noaa/nesdis/ncei, earth science, fixed observation stations, florida, ground-based observations, in situ land-based platforms, land surface, national centers for environmental information, nesdis, noaa, north america, point resolution, surface temperature, surface winds, thermometers, u.s. department of commerce, united states of america, vertical location, weather stations/networks, wind direction, wind speed
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Infrared Atmospheric Sounding Interferometer (IASI) Simulated High-resolution Infrared Radiation Sounder (HIRS) Radiances, Version 2b

The dataset includes radiances for HIRS channels 1-12 that are simulated from IASI swath measurements on Metop-A, B, and C, at the spatial resolution of the original IASI pixel resolution. It is an intermediate product of the NOAA Climate Data Record (CDR) of IR Sounder Upper Tropospheric Humidity BT, Version 4.0. The dataset has a global coverage.

Tags: atmosphere, atmospheric temperature, atmospheric water vapor, brightness temperature, earth observation satellites, earth remote sensing instruments, earth science, high resolution infrared radiation sounder, hirs, iasi, infrared atmospheric sounding interferometer, infrared wavelengths, interferometers, meteorological operational satellite (metop), meteorological operational satellite - a, metop-a, metop-b, metop-c, national oceanic & atmospheric administration-10, national oceanic & atmospheric administration-11, national oceanic & atmospheric administration-12, national oceanic & atmospheric administration-14, national oceanic & atmospheric administration-15, national oceanic & atmospheric administration-16, national oceanic & atmospheric administration-17, national oceanic & atmospheric administration-19, national oceanic & atmospheric administration-6, national oceanic & atmospheric administration-7, national oceanic & atmospheric administration-8, national oceanic & atmospheric administration-9, noaa national centers for environmental information, noaa poes (polar orbiting environmental satellites), noaa-10, noaa-11, noaa-12, noaa-14, noaa-15, noaa-16, noaa-17, noaa-19, noaa-6, noaa-7, noaa-8, noaa-9, passive remote sensing, profilers/sounders, space-based platforms, spectral/engineering, television infrared observation satellite (tiros), tiros-n, troposphere, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Hyperspectral imagery to study harmful algal blooms (HABs) of Lake Erie, Lake St. Clair, and Saginaw Bay, Lake Huron of the Great Lakes region

The hyperspectral images in this collection contain flights over the western basin of Lake Erie, and Saginaw Bay, Lake Huron of the Great Lakes region during the HAB season from typically June until the end of October.  Images were acquired from a manned aircraft with a Resonon hyperspectral imaging camera. Each flight has approximately 200-400 images along the flight trajectory that are in band interleave per pixel (.bip) or band interleave per line (.bil) format. The files are in raw binary, radiance values, and reflectance values. The resolution is typically 1 meter or less depending on the altitude that is flown. The flight path covered the Michigan and Ohio drinking water intake locations and also the Cooperative Institute for Great Lakes Research (CIGLR) water quality monitoring stations in western Lake Erie.  Each flight took into account the solar zenith angle to minimize sun glint correction. The data are currently in raw and radiance formats that were converted to radiance using the calibration files provided by the manufacture and no other corrections have been made. The camera is sent annually to be calibrated by the manufacturer. Imagery was collected to monitor harmful algal blooms (HABs) over the western basin of Lake Erie and Saginaw Bay, Lake Huron. Funding for this project was received via the Great Lakes Restoration Initiative (GLRI) from the U.S. Environmental Protection Agency (USEPA).

Tags: < 1 meter, aircraft, bacteria/archaea, biological classification, cameras, continent, cyanobacteria (blue-green algae), daily - < weekly, doc/noaa/nesdis/ncei, doc/noaa/oar/glerl, earth remote sensing instruments, earth science, great lakes, great lakes environmental research laboratory, hab, harmful algal bloom, hyperspectral, infrared imagery, infrared wavelengths, lake erie, national centers for environmental information, nesdis, noaa, north america, oar, orthoimage, passive remote sensing, photon/optical detectors, rectified image, sea surface, spectral/engineering, u.s. department of commerce, united states of america, vertical location, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Regional Hydrodynamic Model Outputs of the NOAA Chesapeake Bay Operational Forecast System (CBOFS)

Oceanographic nowcasts and forecast guidance are scientific predictions about the present and future states of a water body (generally including water levels, currents, water temperature and salinity). These predictions rely on either observed data or forecasts from large-scale numerical models. A nowcast incorporates recent (and often near real-time) observed meteorological, oceanographic, and/or river flow rate data and/or analyzed (e.g. gridded) meteorological and oceanographic products. The wind data used to run CBOFS are based on the National Weather Service (NWS)/Real Time Mesoscale Analysis (RTMA) winds (for the nowcast) and an interpolation of the NWS North American Mesoscale (NAM)-12 atmospheric forecast model data (for the forecast). The NWS Global Forecasting System winds serve as backup winds for both the nowcast and forecast runs. 
          
          CBOFS runs on NOAA's High Performance Computers (HPC) in a new Coastal Ocean Modeling Framework (COMF) developed by CO-OPS. All CO-OPS official real-time products, including nowcast and forecast guidance from CBOFS are monitored by the CO-OPS's Continuous Operational Real-Time Monitoring System (CORMS). CORMS provides 24 hour per day, 7 days per week monitoring and quality control of sensors and data in order to ensure the availability, accuracy, and quality of tide, water level, current, and other marine environmental information. CORMS is intended to identify invalid and erroneous data and information before application of the data by real-time and near real-time users.

Tags: center for operational oceanographic products and services, coastal processes, continent, delaware, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, doc/noaa/nos/co-ops, earth science, longshore currents, maryland, models, national centers for environmental information, national climatic data center, national ocean service, nesdis, new york, noaa, north america, ocean temperature, ocean winds, oceans, operational models, other, pennsylvania, salinity/density, sea surface height, surface winds, tidal currents, tides, u.s. department of commerce, united states of america, virginia, water temperature, west virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Commercial (Comm) Radio Occultation (RO) Environmental Data Record (EDR) from PlanetiQ

This dataset contains Commercial (Comm) Radio Occultation (RO) Environmental Data Records (EDR) from PlanetiQ. It is from Radio Occultation Data Buy II (RODB-2) Indefinite Delivery/Indefinite Quantity (IDIQ), dated March 27, 2023 to March 26, 2028. For RODB-2 IDIQ, NOAA solicited commercial near-real-time satellite-based Global Navigation Satellite System (GNSS) Radio Occultation (RO) and ionospheric measurements that will be processed into neutral atmosphere and space weather products. These derived products will be fed into NOAA's operational data systems, including weather and space weather analysis and prediction systems, and used for weather, climate, and atmospheric research purposes. 

CommRO is an is an established method for remote sounding of the atmosphere. The technique uses an instrument in low-Earth orbit to track radio signals from Global Navigation Satellite System (GNSS) transmitters as they rise or set through the atmosphere. The occulting atmosphere refracts or bends the radio signals, and given the precise positions of both satellites, the bending angle can be deduced from the time delay of the signal. Collecting these measurements for a full occultation through the atmosphere provides a vertical profile of bending angles, from which profiles of physical quantities such as temperature, humidity, and ionospheric electron density can be retrieved. These data primarily feed numerical weather prediction (NWP) models that support weather forecasts, and also support space weather analysis/prediction at NOAA.

Tags: atmosphere, atmospheric composition, atmospheric temperature, constellation observing system for meteorology, cosmic data analysis and archive center, cubesats, doc/noaa/nesdis/ncei, earth science, geographic region, global, global navigation satellite system radio occultation (clarreo), gnss-ro receiver, ionosphere, ionosphere and climate, ionosphere/magnetosphere dynamics, low earth orbit (leo), national centers for environmental information, nesdis, noaa, noaa central computer facility, sun-earth interactions, surface, u.s. department of commerce, ucar/cosmic/cdaac, university corporation for atmospheric research, upper air temperature, upper atmosphere, vertical location, vertical profiles
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Climate Data Record (CDR) of AMSU-A Level 1c Brightness Temperature, Version 1.0

This dataset contains Level 1c inter-calibrated brightness temperatures from the Advanced Microwave Sounding Unit-A (AMSU-A) sensors onboard six polar orbiting satellites (NOAA-15, -16, -17, -18, EUMETSAT MetOp-A, and NASA Aqua) spanning from 1998 to the present. The dataset was produced by the NOAA Center for Satellite Applications and Research (STAR), and is a Fundamental Climate Data Record (FCDR) of microwave brightness temperature in the NOAA CDR Program. AMSU-A is a 15-channel microwave radiometer with a ground spatial resolution of about 50 km in diameter at nadir. The native AMSU-A Level 1b data were inter-calibrated using the Integrated Microwave Inter-Calibration Approach (IMICA) method to obtain a long-term data product to be used in climate analyses. For comparison, data files also include the operational data used in NWP forecasting along with the IMICA calibrated radiances, which minimize or remove the biases found in the operational calibration. In addition, limb adjusted radiances for both the IMICA and operational calibrations are included for certain type of climate applications, such as atmospheric layer temperature development using the radiance datasets. The orbital swath data files include AMSU-A channels 4 through 14 (between 52.8 and 57.6 GHz) for both the IMICA calibration and the operational calibration. The inter-calibrated AMSU-A data may be updated as the sounding units are further calibrated over time. 

In early 2017, a gridded version of the dataset was made available to the public. There are three types of gridding approaches: brightness temperatures of near-nadir Field of View (FOV) only, brightness temperature of FOV with minimum viewing zenith angle, and average brightness temperatures of FOVs from multiple scan positions.The gridded data are the produced using the same methodologies as the swath data, but are calculated to a 1x1 degree grid resolution with global coverage.

Tags: 1 km, 50 km - < 100 km or approximately .5 degree - < 1 degree, advanced microwave sounding unit-a, amsu-a, aqua, brightness temperature, center for satellite applications and research, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, doc/noaa/nesdis/star, earth observing system, earth science, geographic region, global, hourly - < daily, meteorological operational satellite - a, metop-a, microwave, national centers for environmental information, national climatic data center, national oceanic & atmospheric administration-15, national oceanic & atmospheric administration-16, national oceanic & atmospheric administration-18, nesdis, noaa, noaa climate data record (cdr) program, noaa onestop project, noaa-15, noaa-16, noaa-18, satellite, spectral/engineering, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Hurricane Irene Poster (August 27, 2011)

Hurricane Irene poster. Color composite GOES image shows Irene moving through the North Carolina Outer Banks on August 27, 2011. Poster size is 36"x27"

Tags: atmosphere, atmospheric winds, connecticut, continent, data analysis and visualization, delaware, district of columbia, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, earth observation satellites, earth science, earth science services, goes, goes (geostationary operational environmental satellite), human dimensions, hurricanes, land surface, maryland, national centers for environmental information, national climatic data center, natural hazards, nesdis, new jersey, new york, noaa, noaa geostationary operational environmental satellites, north america, north carolina, ocean winds, oceans, rain storms, rhode island, sea surface, south carolina, surface winds, tropical cyclones, typhoons, u.s. department of commerce, united states of america, vertical location, virginia, visualization/image processing, weather events
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Cape Kennedy Thunderstorms Data

Cape Kennedy Thunderstorms Data contains an account of all thunderstorms reported in weather observations taken at Cape Kennedy Air Force Station, Florida between 1957 and 1972. Elements recorded include date and time thunderstorm began and ended, quadrant(s) in which the storm was first and last observed, direction of movement, intensity, frequency of thunder, presence of more than one storm, lightning characteristics and intensity. Wind speed (sustained and gusts), wind shift, pressure tendency, and minimum ceiling hight and visibility are also included.

Tags: 1 meter - < 10 meters, air quality, anemometers, atmosphere, atmospheric - surface - air pressure, atmospheric - surface - wind speed and direction, atmospheric pressure, atmospheric winds, barometers, cloud ceiling, cloud properties, clouds, continent, doc/noaa/nesdis/ncei, earth science, fixed observation stations, florida, ground-based observations, in situ land-based platforms, land surface, lightning, national centers for environmental information, nesdis, noaa, north america, point resolution, rain storms, surface winds, u.s. department of commerce, united states of america, vertical location, visibility, weather events, weather stations/networks, wind direction, wind speed
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2004 Landfalling Hurricanes Poster

The 2004 U.S. Landfalling Hurricanes poster is a special edition poster which contains two sets of images of Hurricanes Charley, Frances, Ivan, and Jeanne, created from NOAA's operational satellites. In addtion to the images, the poster has a map depicting the general track of each storm; information on each storm's landfall location, date of landfall, and category level at time of landfall; as well as, a Saffir-Simpson Hurricane Scale chart. Poster size is 34"x27".

Tags: alabama, arkansas, atlantic ocean, atmosphere, atmospheric winds, bahamas, canada, caribbean sea, connecticut, continent, cuba, data analysis and visualization, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, earth observation satellites, earth science, earth science services, florida, georgia, human dimensions, hurricanes, illinois, land surface, massachusetts, michigan, mississippi, missouri, national centers for environmental information, national climatic data center, national oceanic & atmospheric administration-17, natural hazards, nesdis, new york, noaa, noaa poes (polar orbiting environmental satellites), noaa-17, north america, north atlantic ocean, north carolina, ocean, ocean winds, oceans, ontario, pennsylvania, rain storms, rhode island, sea surface, south carolina, surface winds, tennessee, tropical cyclones, typhoons, u.s. department of commerce, united states of america, vertical location, visualization/image processing, weather events
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
U.S. Climate Normals 2020: U.S. Annual/Seasonal Climate Normals (1991-2020)

The U.S. Annual/Seasonal Climate Normals for 1991 to 2020 are 30-year averages of meteorological parameters that provide users the information needed to understand typical climate conditions for thousands of locations across the United States, as well as U.S. Territories and Commonwealths, and the Compact of Free Association nations. The stations used include those from the NWS Cooperative Observer Program (COOP) Network as well as some additional stations that have a Weather Bureau Army-Navy (WBAN) station identification number, including stations from the U.S. Climate Reference Network (USCRN) and other automated observation stations. In addition, precipitation normals for stations from the U.S. Snow Telemetry (SNOTEL) Network and the citizen-science Community Collaborative Rain, Hail and Snow (CoCoRaHS) Network are also available. The Annual/Seasonal Climate Normals dataset includes various derived products such as air temperature normals (including maximum and minimum temperature normals, heating and cooling degree day normals, and others), precipitation normals (including precipitation and snowfall totals, and percentiles, frequencies and other statistics of precipitation, snowfall, and snow depth), and agricultural normals (growing degree days (GDDs), lengths of growing seasons, probabilities of first or last temperature threshold exceedances. All data utilized in the computation of the 1991-2020 Climate Normals were taken from the Global Historical Climatology Network-Daily and -Monthly datasets. Temperatures were homogenized, adjusted for time-of-observation, and made serially complete where possible based on information from nearby stations. Precipitation totals were also made serially complete where possible based using nearby stations. The source datasets (including intermediate datasets used in the computation of products) are also archived at NOAA NCEI. A comparatively small number of station normals sets (~50) have been added as Version 1.0.1 to correct quality issues or because additional historical data during the 1991-2020 period has been ingested.

Tags: air temperature, atmosphere, atmospheric - surface - air temperature, atmospheric - surface - precipitation, atmospheric temperature, central pacific ocean, climate indicators, continent, doc/noaa/nesdis/ncei, earth science, land surface, national centers for environmental information, nesdis, noaa, normals, north america, ocean, pacific ocean, point resolution, precipitation, precipitation amount, surface temperature, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce