AndreaBozzo/ceres-open-data-index huggingface dataset:
International Satellite Cloud Climatology Project, D-Series (Superseded)

**ISCCP D-Series has been superseded by a newer version. Users should not use ISCCP D-Series except in rare cases (e.g., when reproducing previous studies that used the ISCCP D-Series).** ISCCP was established in 1982 as part of the World Climate Research Programme (WCRP) to collect and analyze satellite radiance measurements to infer the global distribution of clouds, their properties, and their diurnal, seasonal, and interannual variations. Period of record is July 1, 1983 through December 31, 2009. ISCCP D-Series dataset consists of the following products: (1) D1 - Cloud products gridded to 2.5 deg at 3 hourly time steps. This includes about 200 variables, including cloud products, ancillary data and static data. (2) D2 - Monthly averages of cloud products gridded to 2.5 degree. This includes many variables and processing inputs (e.g., ancillary data) as well as outputs (cloud products, etc.). D2 data are temporal averages of the D1 data. (3) DX - Pixel level cloud products in the satellite-projection. This data is roughly 32 km and 3 hourly. This data is used to derive the D1 product. In addition, there are ancillary data files included with the archive; these inputs that are used to create the D-series data.

Tags: 10 km - < 50 km or approximately .09 degree - < .5 degree, 250 km - < 500 km or approximately 2.5 degrees - < 5.0 degrees, advanced very high resolution radiometer, atmosphere, atmospheric - upper-air - cloud properties, avhrr, clouds, doc/noaa/nesdis/ncei, earth observation satellites, earth remote sensing instruments, earth science, geographic region, global, gms (japan geostationary meteorological satellite), goes (geostationary operational environmental satellite), goes i-m sounder, hourly - < daily, imaging spectrometers/radiometers, insat (indian national satellite), international satellite cloud climatology project, isccp, meteosat, meteosat second generation, meteosat visible infra-red imager, monthly - < annual, msg, mtsat 1r imager, mtsat 2 imager, mtsat-1r, mtsat-2, multi-functional transport satellite 1 replacement, mviri, national centers for environmental information, nesdis, noaa, noaa poes (polar orbiting environmental satellites), passive remote sensing, profilers/sounders, radiometers, seviri, spectrometers/radiometers, spinning enhanced visible and infrared imager, the multi-functional transport satellite 2, troposphere, u.s. department of commerce, vas, vertical location, visible and infrared spin scan radiometer (gms series), vissr atmospheric sounder, vissr-gms
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Global Historical Climatology Network - Monthly Temperature, Version 4

The GHCN-Monthly Temperature Version 4 dataset consists of monthly mean temperature (both raw and bias corrected data), monthly mean maximum, and minimum temperature. GHCN-M is the core global land surface air temperature dataset used for climate monitoring and assessment activities. GHCN-M version 4 contains monthly mean temperature for over 25,000 stations across the globe and brings consistency with temperature observations found in the GHCN-Daily dataset.

Tags: atmosphere, atmospheric - surface - air temperature, atmospheric temperature, doc/noaa/nesdis/ncei, earth science, fixed observation stations, geographic region, global land, land surface, maximum/minimum temperature, national centers for environmental information, nesdis, noaa, point resolution, surface temperature, thermometers, u.s. department of commerce, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1-Minute Page 2 Surface Weather Observations from the Automated Surface Observing Systems (ASOS) Network

This dataset includes one-minute observations for precipitation type and amount, station pressure, temperature, dew point temperature, lightning detection elements, and the Frozen Precipitation Sensor Frequency for approximately 900 stations in the U.S., Puerto Rico, the U.S. Virgin Islands, and some Pacific island territories as part of the Automated Surface Observing Systems (ASOS) network. The ASOS Program is a joint effort of the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the Department of Defense (DOD). The ASOS network was designed to support weather forecast activities and aviation operations and, at the same time, support the needs of the meteorological, hydrological, and climatological research communities. The ASOS 1-minute page 1 and page 2 data were collected and processed by the NOAA National Centers for Environmental Information (NCEI).

Tags: aerosols, air quality, air temperature, altitude, atlantic ocean, atmosphere, atmospheric phenomena, atmospheric pressure, atmospheric pressure measurements, atmospheric radiation, atmospheric temperature, atmospheric water vapor, atmospheric winds, caribbean sea, cloud frequency, cloud height, cloud properties, cloud types, clouds, continent, dew point temperature, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, doc/noaa/nws, dod, dot/faa, dust/ash/smoke, earth science, federal aviation administration, freeze/frost, freezing rain, frost, humidity, hydrosphere, land surface, lightning, liquid precipitation, maximum/minimum temperature, national centers for environmental information, national climatic data center, national weather service, nesdis, noaa, north america, north atlantic ocean, ocean, precipitation, precipitation amount, puerto rico, rain, rain storms, sea level pressure, snow, snow depth, snow water equivalent, snow/ice, solid precipitation, station height, sunshine, surface pressure, surface temperature, surface winds, tornados, troposphere, u.s. department of commerce, u.s. department of defense, u.s. department of transportation, united states of america, vertical location, visibility, water vapor indicators, weather events
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Geostationary Operational Environmental Satellite (GOES) I-M and N-P Series Block 11 Data

GOES Satellite Data - Block 11 (GVAR_B11) - GVAR is the data transmission format used to broadcast environmental data measured by the independent GOES Imager and Sounder instruments. The Block 11 data files contain ancillary instrument data and metadata that may be useful to expert users. All sounder data will be included in Block 11, but not all Block 11's will contain sounder data. As the GVAR data are received by NOAA, the sounder blocks are stripped out and converted into McIDAS AREA format for final archive.

Tags: calibration/validation, data analysis and visualization, doc/noaa/nesdis/ncei, earth science services, geographic region, global, goes, gvar_b11, national centers for environmental information, nesdis, noaa, noaa geostationary operational environmental satellites, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
National Weather Service (NWS) Station Information System (SIS), Version 2

National Weather Service (NWS) Station Information System (SIS) contains observing station metadata from November 2016 to present. These are renditions are used for daily updates to the Historical Observing Metadata Repository (HOMR). Within this dataset there are embedded PDFs which are loaded into Environmental Document Access and Display System (EDADS) Version 2 (EV2) in the Cooperative Station History library and the JSON formatted machine readable version of the information on the PDFs which are integrated into HOMR. The station updates contain station profile information, and changes in location, instrumentation, obstructions, observers, and observation times.  NCEI only receives these files when something is changed on the station, or every 3 years for a NWS-mandated update. Version 2 of this dataset includes new equipment hierarchy and minor changes to how observer information is structured in the JSON interface files.

Tags: altitude, atmosphere, continent, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, earth science, in situ land-based platforms, meteorological stations, national centers for environmental information, national climatic data center, nesdis, noaa, station height, troposphere, u.s. department of commerce, vertical location, weather stations, weather stations/networks
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Regional Hydrodynamic Model Outputs of the NOAA Lake Superior Operational Forecast System (LSOFS)

The Lake Superior Operational Forecast System (LSOFS) is a NOAA project aimed at providing improved predictions of water levels, currents and water temperatures in Lake Superior to the user communities. Similar systems are operational in the other 4 Great Lakes as well. Collectively these form the Great Lakes Operational Forecast System (GLOFS). The objective of GLOFS is to produce nowcast and forecast guidance (displayed out to 24 hours) of total water level, current velocity, and water temperatures in the Lakes to be used by the commercial shipping, recreational boating, and emergency response communities.

Tags: canada, center for operational oceanographic products and services, coastal processes, continent, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, doc/noaa/nos/co-ops, earth science, great lakes, longshore currents, models, national centers for environmental information, national climatic data center, national ocean service, nesdis, noaa, north america, ocean temperature, ocean winds, oceans, operational models, other, salinity/density, sea surface height, surface winds, tidal currents, tides, u.s. department of commerce, united states of america, water temperature
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
United States Climate Reference Network (USCRN) Processed Data from the Version 2 USCRN Database

USCRN Processed data are interpreted values and derived geophysical parameters processed from raw data by the USCRN Team. Data were interpreted and ingested into a database, but are also available as netCDF files exported from the database. The "Version 2" of the dataset denotes the application of a new precipitation algorithm to calculate values. (See documentation for more information). Climate variable types include air temperature, precipitation, soil moisture, soil temperature, surface temperature, wetness, global solar radiation, relative humidity, and wind at 1.5 m above the ground. Many additional engineering variables are also available. These data have been decoded from the raw data streams, quality-flagged, and processed into level 1 hourly data (the only applied quality control is rounding some values as they enter the database), and includes additional calculated values such as precipitation (5-minute and hourly), hourly max/min temperature, average temperature (5-minute and hourly), soil moisture (volumetric water content, 5-minute values at the 5 cm depth and and hourly values at all depths) for all dielectric values in range, layer average soil moisture (5 minute and hourly), and layer average soil temperature (5 minute and hourly). It is the general practice of USCRN to not calculate derived variables if the input data to these calculations are flagged.

Tags: 1 meter - < 10 meters, 1 meter - < 30 meters, 1 minute - < 1 hour, 250 km - < 500 km or approximately 2.5 degrees - < 5.0 degrees, < 1 meter, air temperature, alaska, anemometers, atmosphere, atmospheric - surface - air temperature, atmospheric - surface - precipitation, atmospheric radiation, atmospheric temperature, atmospheric water vapor, atmospheric winds, boundary layer, continent, disdrometers, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, earth science, fan-aspirated radiation shield, geographic region, hawaii, hourly - < daily, humidity, humidity sensors, land surface, land surface temperature, maximum/minimum temperature, meteorological stations, mid-latitude, national centers for environmental information, national climatic data center, nesdis, noaa, north america, precipitation, precipitation amount, pyranometers, rain gauges, skin temperature, soil moisture probe, soil moisture/water content, soil temperature, soil temperature probe, soils, solar radiation, surface temperature, surface thermal properties, surface winds, temperature sensors, terrestrial - land surface temperature, terrestrial - soil moisture, thermometers, u.s. climate reference network, u.s. department of commerce, united states of america, uscrn, vertical location, water vapor indicators
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
United States Climate Reference Network (USCRN) Standardized Soil Moisture and Soil Moisture Climatology

The U.S. Climate Reference Network (USCRN) was designed to monitor the climate of the United States using research quality instrumentation located within representative pristine environments. This Standardized Soil Moisture (SSM) and Soil Moisture Climatology (SMC) product set is derived using the soil moisture observations from the USCRN. The hourly soil moisture anomaly (SMANOM) is derived by subtracting the MEDIAN from the soil moisture volumetric water content (SMVWC) and dividing the difference by the interquartile range (IQR = 75th percentile - 25th percentile) for that hour: SMANOM = (SMVWC - MEDIAN) / (IQR). The soil moisture percentile (SMPERC) is derived by taking all the values that were used to create the empirical cumulative distribution function (ECDF) that yielded the hourly MEDIAN and adding the current observation to the set, recalculating the ECDF, and determining the percentile value of the current observation. Finally, the soil temperature for the individual layers is provided for the dataset user convenience.

The SMC files contain the MEAN, MEDIAN, IQR, and decimal fraction of available data that are valid for each hour of the year at 5, 10, 20, 50, and 100 cm depth soil layers as well as for a top soil layer (TOP) and column soil layer (COLUMN). The TOP layer consists of an average of the 5 and 10 cm depths, while the COLUMN layer includes all available depths at a location, either two layers or five layers depending on soil depth. The SSM files contain the mean VWC, SMANOM, SMPERC, and TEMPERATURE for each of the depth layers described above. File names are structured as CRNSSM0101-STATIONNAME.csv and CRNSMC0101-STATIONNAME.csv.  SSM stands for Standardized Soil Moisture and SCM represent Soil Moisture Climatology. The first two digits of the trailing integer indicate major version and the second two digits minor version of the product.

Tags: 1 meter - < 30 meters, 250 km - < 500 km or approximately 2.5 degrees - < 5.0 degrees, < 1 meter, alaska, continent, doc/noaa/nesdis/ncei, earth science, geographic region, hourly - < daily, land surface, meteorological stations, mid-latitude, national centers for environmental information, nesdis, noaa, north america, soil moisture probe, soil moisture/water content, soil temperature, soil temperature probe, soils, terrestrial - soil moisture, u.s. climate reference network, u.s. department of commerce, united states of america, uscrn, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Climate Data Record (CDR) of IR Sounder Upper Tropospheric Humidity BT, Version 4.0

This dataset covers the IR Sounder Upper Trop Humidity BT CDR that is based on the high-Resolution Infrared Sounder (HIRS) suite of intersatellite calibrated channel 12 brightness temperature (BT) and from the Infrared Atmospheric Sounding Interferometer (IASI) measurement that is used to derive equivalent HIRS channel 12 BT. The channel is designed to measure upper tropospheric humidity. Cloud-screening is performed and clear-sky pixels are used to generate the product. The time series has a global coverage in monthly 2.5x2.5 degree latitude/longitude from 1978 to the present. It is developed at NCEI as version 4.0. The data are in NetCDF format, with a total volume of approximately 25 MB.

Tags: atmosphere, atmospheric - upper-air - upper-air water vapour, atmospheric water vapor, brightness temperature, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, 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), metop-a, metop-b, metop-c, national centers for environmental information, national climatic data center, nesdis, noaa, noaa climate data record (cdr) program, noaa onestop project, noaa poes, noaa poes (polar orbiting environmental satellites), noaa 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, polar orbiting environmental satellites (poes), profilers/sounders, satellite, space-based platforms, spectral/engineering, television infrared observation satellite (tiros), tiros-n, troposphere, u.s. department of commerce, vertical location, water vapor
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Regional Hydrodynamic Model Outputs of the NOAA St. John's River Operational Forecast System (SJROFS)

NOAA's National Ocean Service (NOS) has developed a St. John's River Operational Forecast System (SJROFS). The Environmental Fluid Dynamics Code (EFDC) has been used to perform operational nowcasts and forecasts for the Lower St. John's River. The EFDC model solves the three-dimensional, vertically hydrostatic, free surface, turbulent averaged equations of motions for a variable density fluid. The physics of the EFDC model and many aspects of the computation scheme are equivalent to the widely used Blumberg-Mellor model (POM). SJROFS is to produce hourly nowcasts and run every six hours four times daily forecasts of total water level and current velocity in the River to be used by the commercial and recreational maritime community.

Tags: center for operational oceanographic products and services, coastal processes, continent, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, doc/noaa/nos/co-ops, earth science, florida, longshore currents, models, national centers for environmental information, national climatic data center, national ocean service, nesdis, noaa, north america, ocean temperature, ocean winds, oceans, operational models, other, salinity/density, sea surface height, surface winds, tidal currents, tides, u.s. department of commerce, united states of america, water temperature
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Climate Data Record (CDR) of Intersatellite Calibrated Clear-Sky High Resolution Infrared Radiation Sounder (HIRS) Channel 12 Brightness Temperature Version 3.2

The High-Resolution Infrared Radiation Sounder (HIRS) of intersatellite calibrated channel 12 brightness temperature  product is a gridded global monthly time series product spanning from 1979 to the most current full month, updated monthly. Among the twenty channels in the HIRS instrument, channel 12 measures upper tropospheric water vapor. Multiple polar orbiting satellites in the NOAA Polar-orbiting Operational Environmental Satellite (POES) and MetOp series have carried HIRS instruments. Due to the independence in calibration of the individual HIRS instruments, biases exist between satellites. Examination of the intersatellite biases shows that the biases are scene brightness temperature dependent. These HIRS channel 12 measurements from the NOAA POES and MetOp series are calibrated to a baseline satellite based on intersatellite bias correction data. The dataset is provided as monthly mean 2.5x2.5 degree latitude/longitude in netcdf format. This CDR is key to understanding water vapor feedback climatology and has been used to study long-term water vapor variability, to evaluate climate models, and to study large-scale atmospheric circulations.

Tags: atmosphere, atmospheric - upper-air - upper-air water vapour, atmospheric water vapor, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, earth observation satellites, earth remote sensing instruments, earth science, high resolution infrared radiation sounder, hirs, national centers for environmental information, national climatic data center, nesdis, noaa, noaa climate data record (cdr) program, noaa onestop project, noaa poes, noaa poes (polar orbiting environmental satellites), noaa polar orbiting environmental satellites, passive remote sensing, profilers/sounders, satellite, troposphere, u.s. department of commerce, vertical location, water vapor
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Rapid Refresh (RAP) [20 km]

The Rapid Refresh (RAP) numerical weather model took the place of the Rapid Update Cycle (RUC) on May 1, 2012. Run by the National Centers for Environmental Prediction (NCEP), RAP runs with two versions. The first generates weather data on a 13-km (8-mile) resolution horizontal grid and the second, the High-Resolution Rapid Refresh (HRRR), generates data down to a 3-km (2-mile) resolution grid for smaller regions of interest. RAP forecasts are generated every hour with forecast lengths going out 18 hours with a 1 hour temporal resolution. Multiple data sources go into the generation of RAP forecasts: commercial aircraft weather data, balloon data, radar data, surface observations, and satellite data. This dataset contains a 20 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) domain.

Tags: 10 km - < 50 km or approximately .09 degree - < .5 degree, air quality, air temperature, altitude, atmosphere, atmospheric pressure, atmospheric pressure measurements, atmospheric stability, atmospheric temperature, atmospheric water vapor, atmospheric winds, boundary layer, boundary layer winds, continent, convection, dew point temperature, doc/noaa/nesdis/ncdc, doc/noaa/nesdis/ncei, earth science, freezing rain, geopotential height, humidity, ice pellets, land surface, land surface temperature, liquid precipitation, national centers for environmental information, national climatic data center, nesdis, noaa, nomads, north america, ocean temperature, oceans, planetary boundary layer height, potential temperature, precipitation, precipitation rate, pressure thickness, rain, sea level pressure, sea surface, sea surface temperature, skin temperature, sleet, snow, snow depth, snow/ice, solid precipitation, stratosphere, surface pressure, surface temperature, surface thermal properties, surface winds, terrestrial hydrosphere, the noaa operational model archive and distribution system, total precipitable water, tropopause, troposphere, u.s. department of commerce, united states of america, upper air temperature, upper level winds, vertical location, vertical wind velocity/speed, visibility, vorticity, water vapor, water vapor indicators, water vapor profiles, wind dynamics, wind profiles
Organization: National Oceanic and Atmospheric Administration, Department of Commerce