"C00005", "NOAA's Climate Divisional Database (nCLIMDIV)", "nClimDiv (Climate Indices)", "The U.S. Climate Divisional Dataset is the only long-term temporally and spatially complete dataset from 1895 to the present for the Contiguous United States (CONUS) from NCEI. The dataset provides temperature\, precipitation and drought indices\, as well as heating and cooling degree days. Coverage is provided for U.S. climate divisions\, states\, multi-state regions\, and the nation. Text output\, and static and interactive graphs are available."
"C00040", "U.S. Annual Climatological Summaries", "Annual Summaries", "The Annual Climatological Summaries of U.S. station data (from COOP and ASOS stations) was developed to meet the needs of climate analysis studies that require data at monthly and annual time resolutions. It includes temperature average max\, min\, and extremes\, departures from normal\, degree day\, and frost/freeze values plus precipitation averages and extremes including snowfall data. Data are typically delayed 6 months or more."
"C00313", "U.S. Hourly Precipitation Data", "Precipitation Hourly", "This dataset contains historical hourly precipitation observations for selected U.S. stations. Data values are typically delayed six months or more."
"C00345", "NOAA Next Generation Radar (NEXRAD) Level 2 Base Data", "Weather Radar (Level II)", "Level-2 NEXRAD data include three meteorological base data quantities: reflectivity\, mean radial velocity\, and spectrum width. With the advent of dual polarization beginning in 2011\, additional base products of differential reflectivity\, correlation coefficient and differential phase are available."
"C00465", "Regional Snowfall Index (RSI)", "Regional Snowfall Index", "This snowstorm impact rating scale factors in population\, snowfall amounts\, and storm coverage\, thereby quantifying the societal impacts of a snowstorm for all major snowstorms since 1900. The RSI is important because of the need to place snowstorms and their societal impacts into a historical perspective on a regional scale. The index is useful for the media\, emergency managers\, the public and others who wish to compare regional impacts between different snowstorms."
"C00505", "U.S. 15 Minute Precipitation Data", "Precipitation 15 Minute", "This dataset contains historical 15-minute precipitation observations for selected U.S. stations. Data values are typically delayed six months or more."
"C00516", "Global Surface Summary of the Day - GSOD", "Global Summary of the Day", "Global summary of the day is comprised of a dozen daily averages computed from global hourly station data. Daily weather elements include mean values of: temperature\, dew point temperature\, sea level pressure\, station pressure\, visibility\, and wind speed plus maximum and minimum temperature\, maximum sustained wind speed and maximum gust\, precipitation amount\, snow depth\, and weather indicators. With the exception of U.S. stations\, 24-hour periods are based upon UTC times. Values are usually delayed 24-48 hours from the time of observation."
"C00532", "Integrated Surface Dataset (Global)", "Global Hourly", "Integrated Surface Data provides a long-term record of hourly\, sub-hourly and synoptic weather observations from station networks around the world. Observation sources include the World Meteorological Organization\, Automated Surface Observing System\, Automated Weather Observing Stations\, US Climate Reference Network\, and others. Weather elements observed include sky conditions\, visibility\, weather type\, dry bulb\, wet bulb\, and dew point temperatures\, relative humidity\, wind speed and direction\, wind gusts\, station and sea level pressure\, altimeter\, and precipitation. Online data are typically delayed for 24 hours."
"C00606", "International Comprehensive Ocean Atmosphere Data Set (ICOADS) And NCEI Global Marine Observations", "Global Marine Data", "Historical marine data are comprised of ship\, buoy\, and platform observations from 1662-present. Data values are delayed by one month. In addition to location\, ship identification\, ship speed\, and ship direction\, weather elements observed include: wind direction and speed\, visibility\, present and past weather\, sea level pressure\, dry bulb\, wet bulb\, and dew point temperatures\, sea surface temperature\, cloud data\, wave data\, and ice accretion."
"C00652", "Global Climate Summaries", "Global Climate Summaries", "The Global Climate Station Summaries are simple indicators of observational averages which include climatic data summarizations and frequency distributions. These typically are statistical analyses of station data over 5-\, 10-\, 20-\, 30-year or longer time periods or for customized periods. Summaries for the following weather elements are available: Ceiling-visibility\, dew point statistics\, flying conditions\, relative humidity\, sky cover\, sea-level pressure\, station pressure\, temperature\, wind speed / direction\, and present weather. Data were derived from stations observing global hourly data. These data may have conditions placed on their international commercial use. For details\, please see WMO Resolution 40 or contact NCEI."
"C00679", "Quality Controlled Local Climatological Data (QCLCD) Publication", "MISSING", "The QCLCD Publication provides a long-term\, quality controlled climate dataset from land-basaed in situ observations."
"C00684", "U.S. Local Climatological Data (LCD)", "MISSING", "The LCD product provides a local\, long-term\, quality controlled climate dataset from land-based in situ observations."
"C00704", "Monthly U.S. Snow Monitoring", "Snow Monitoring Monthly", "Monthly snowfall totals and percent of normal snowfall maps for U.S. stations since 1886. Values are typically delayed by 6 months or more."
"C00708", "NOAA Next Generation Radar (NEXRAD) Level 3 Products", "Weather Radar (Level III)", "Level-2 NEXRAD data include three meteorological base data quantities: reflectivity\, mean radial velocity\, and spectrum width. With the advent of dual polarization beginning in 2011\, additional base products of differential reflectivity\, correlation coefficient and differential phase are available. NEXRAD Level 3 products are used to remotely detect atmospheric features\, such as precipitation\, precipitation-type\, storms\, turbulence and wind\, for operational forecasting and data research analysis."
"C00713", "U.S. Monthly Extremes", "Extremes Monthly", "These are compiled extremes statistics for U.S. stations using monthly summaries for three weather elements: Temperature\, Precipitation\, and Snowfall. For temperature and precipitation\, statistics include daily extreme maximum and minimum by month\, extreme above and below departures from normal by month\, and number of days with selected extreme values. Extremes statistics are not available after 2012."
"C00754", "Daily U.S. Snow Monitoring", "Snow Monitoring Daily", "Dataset includes daily snowfall and snowfall accumulations for U.S. stations. Values are usually delayed 24 hours from the time of observation."
"C00821", "U.S. Annual/Seasonal Climate Normals (1981-2010)", "Normals Annual/Seasonal", "Climate Normals are a suite of products that provide users with the means to understand typical climate conditions for thousands of locations across the United States. These Normals are intended to be used for applications requiring an annual or seasonal timescale."
"C00822", "U.S. Monthly Climate Normals (1981-2010)", "Normals Monthly", "Climate Normals are a suite of products that provide users with the means to understand typical climate conditions for thousands of locations across the United States. These Normals are intended to be used for applications requiring a monthly timescale."
"C00823", "U.S. Daily Climate Normals (1981-2010)", "Normals Daily", "Climate Normals are a suite of products that provide users with the means to understand typical climate conditions for thousands of locations across the United States. These Normals are intended to be used for applications requiring a daily timescale."
"C00824", "U.S. Hourly Climate Normals (1981-2010)", "Normals Hourly", "Climate Normals are a suite of products that provide users with the means to understand typical climate conditions for thousands of locations across the United States. These Normals are intended to be used for applications requiring a hourly timescale."
"C00841", "Monthly Summaries of the Global Historical Climatology Network - Daily (GHCN-D)", "Monthly Summaries", "Monthly summaries provides monthly averages and extremes of temperature and precipitation (where these elements are observed) using global daily station data. The data are computed using observations from World Meteorological Organization\, Cooperative\, and CoCoRaHS networks."
"C00843", "National Solar Radiation Database (NSRDB) Station Data Output for 1991 to 2010", "National Solar Radiation Database", "The NSRDB 1991-2010 Update was produced by the National Renewable Energy Laboratory in collaboration with several partners including the NOAA National Climatic Data Center. This is an update of the original 1961-1990 NSRDB and the 1991-2005 NSRDB. It provides estimates of solar radiation over a period of time and space adequate to establish means and extremes and at a sufficient number or locations to represent regional solar radiation climates. Nearly all solar data in the original and updated versions are modeled. Whereas the original version provided serially complete data for 239 stations\, the update provides data for 1454. The update also contains modified solar models and a new gridded data product."
"C00861", "Global Historical Climatology Network - Daily (GHCN-Daily)\, Version 3", "Daily Summaries", "Global Historical Climate Network includes daily land surface observations from around the world. The GHCN-Daily was developed to meet the needs of climate analysis and monitoring studies that require data at a sub-monthly time resolution (e.g.\, assessments of the frequency of heavy rainfall\, heat wave duration\, etc.). The dataset includes observations from World Meteorological Organization\, Cooperative\, and CoCoRaHS networks. If observed\, the station dataset includes max and minimum temperatures\, total precipitation\, snowfall\, and depth of snow on ground. Some U.S. station data are typically delayed only 24 hours."
"C00756", "NOAA Climate Data Record (CDR) of Northern Hemisphere (NH) Snow Cover Extent (SCE)\, Version 1", "Snow Cover Extent (Northern Hemisphere)", "This dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of Upper Atmospheric Layer Temperatures."
"C00761", "NOAA Climate Data Record (CDR) of Atmospheric Layer Temperatures\, Version 3.3", "Mean Layer Temperature - RSS", "This dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of Upper Atmospheric Layer Temperatures."
"C00786", "NOAA Climate Data Record (CDR) of MSU Level 1c Brightness Temperature\, Version 1.0", "MSU Brightness Temperature - NOAA", "This dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of Upper Atmospheric Layer Temperatures--a high quality Fundamental Climate Data Record of microwave brightness temperature for use in long-term climate analyses."
"C00787", "NOAA Climate Data Record (CDR) of AMSU-A Level 1c Brightness Temperature\, Version 1.0", "AMSU Brightness Temperature - NOAA", "This dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of Upper Atmospheric Layer Temperatures--a high quality Fundamental Climate Data Record of microwave brightness temperature for use in long-term climate analyses."
"C00799","MISSING","MISSING","MISSING"
"C00804","MISSING","MISSING","MISSING"
"C00806", "NOAA Climate Data Record (CDR) of MSU and AMSU-A Mean Layer Temperatures\, UAH Version 5.4 (Superseded)", "Mean Layer Temperature - UAH", "The Climate Data Record (CDR) of mean atmospheric layer temperature from MSU/AMSU-A is used for detection of possible trends in greenhouse warming\, evaluation of computer models of climate change\, and for understanding important factors in the climate system."
"C00808", "NOAA Climate Data Record (CDR) of Passive Microwave Sea Ice Concentration\, Version 2", "Sea Ice Concentration", "For scientific research on sea ice concentration climatology."
"C00809", "NOAA Climate Data Record (CDR) of Monthly Outgoing Longwave Radiation (OLR)\, Version 2.2-1", "Outgoing Longwave Radiation - Monthly", "The purpose of the High Resolution Infrared Radiation Sounder (HIRS) Outgoing Longwave Radiation (OLR) Climate Data Record is to provide a continuous and long-term OLR data record\, and to provide a climate data record for global change studies."
"C00810", "NOAA Climate Data Record (CDR) of SSM/I and SSMIS Microwave Brightness Temperatures\, RSS Version 7", "SSMI(S) Brightness Temperatures - RSS", "For the Remote Sensing Systems (RSS) Version-7 Special Sensor Microwave Imagers (SSM/I) FCDR\, the six SSM/Is (aboard F08\, F10\, F11\, F13\, F14\, and F15) have been carefully inter-calibrated which allow investigators to confidently use these SSM/I products for detailed inter-annual and decadal trend studies."
"C00811", "NOAA Climate Data Record (CDR) of AVHRR Surface Reflectance\, Version 4", "AVHRR Surface Reflectance", "This dataset provides scientific researchers a high quality Climate Data Record (CDR) of land surface reflectance. Surface Reflectance provides a measure of the fraction of incoming solar radiation that is reflected from Earth's surface in two spectral ranges of the Advanced Very High Resolution Radiometer (AVHRR) sensors: red (around 640 nm) and the near infrared (around 860 nm). As a key variable\, Surface Reflectance supplies the primary input for essentially all higher-level land surface geophysical parameters. The Surface Reflectance CDR delivers valuable surface information dating back to 1981 as a daily product on a 0.05 degree by 0.05 degree grid."
"C00813", "NOAA Climate Data Record (CDR) of Normalized Difference Vegetation Index (NDVI)\, Version 4", "Normalized Difference Vegetation Index", "This dataset provides a high quality Climate Data Record (CDR) of Normalized Differential Vegetation Index (NDVI) for detecting drought-stressed regions\, forecasting agricultural yields\, and forestry and crop management. The NDVI CDR summarizes the measurement of surface vegetation coverage activity. The surface reflectance calculations in the red and the near infrared spectral bands derived from Advanced Very High Resolution Radiometer (AVHRR) provide NDVI values. The NDVI CDR produces daily output on a 0.05 degree by 0.05 degree global grid\, from 1981 to present. This consistent\, long-term record of remotely sensed vegetation observations allows scientists to characterize the health of vegetation in different regions across the world."
"C00816","MISSING","MISSING","MISSING"
"C00827", "NOAA Climate Data Record (CDR) of SSM/I and SSMIS Microwave Brightness Temperatures\, CSU Version 1", "SSMI(S) Brightness Temperature - CSU", "This dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager/Sounder (SSMIS) Brightness Temperatures. The fundamental climate data record (FCDR) SSMI(S) brightness temperature (Tb) dataset comprises window-channel Tb from a series of 10 microwave radiometers flown on board the DMSP series of satellites. Six SSM/I instruments first flown on DMSP F08 in July 1987 provide intercalibrated data along with data from four currently operational SSMIS instruments. This FCDR dataset provides input into a number of Thematic CDR (TCDR) products including precipitation\, sea surface wind speed\, sea ice extent\, snow cover\, cloud liquid water\, and total precipitable water content."
"C00828", "NOAA Climate Data Record (CDR) of Total Solar Irradiance (TSI)\, NRLTSI Version 2", "Total Solar Irradiance", "The purpose of this Climate Data Record is to provide a continuous and long-term record of total solar irradiance (TSI) for scientists and modelers in the solar\, atmospheric and chemistry sciences as well as the energy industry."
"C00829", "NOAA Climate Data Record (CDR) of Gridded Satellite Data from ISCCP B1 (GridSat-B1) Infrared Channel Brightness Temperature\, Version 2", "Geostationary IR Channel Brightness Temperature - GridSat B1", "This dataset provides scientific researchers a high quality Climate Data Record (CDR) of global infrared and visible measurements from geostationary satellites. These data can be applied to studies of tropical cyclones\, the Intertropical Convergence Zone (ITCZ)\, global and regional precipitation monitoring\, diurnal variation and outgoing longwave radiation. The data are intended to facilitate use of Global infrared measurements from geostationary satellites by non-satellite experts and to help facilitate large-scale processing via tools designed to process CF-compliant netCDF files."
"C00832", "NOAA Climate Data Record (CDR) of Intersatellite Calibrated Clear-Sky HIRS Channel 12 Brightness Temperature\, Version 2.6 (Superseded)", "HIRS Ch12 Brightness Temperature", "This dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of upper tropospheric water vapor along with HIRS brightness temperatures that are suitable for long-term global studies and climate monitoring of upper tropospheric water vapor. These global observations play an important role in better modeling and understanding of tropical convection and its role in weather-climate connections from intraseasonal to interannual time scales."
"C00837", "NOAA Climate Data Record (CDR) of Reflectance and Brightness Temperatures from AVHRR Pathfinder Atmospheres - Extended (PATMOS-x)\, Version 5.3", "AVHRR Reflectance - PATMOS-x", "The PATMOS-x Reflectance dataset provides a long-term and transparent Climate Data Record (CDR) of AVHRR reflectance and brightness temperatures with sufficient documentation that allows users to understand and reuse the data."
"C00840", "NOAA Climate Data Record (CDR) of Cloud Properties from AVHRR Pathfinder Atmospheres - Extended (PATMOS-x)\, Version 5.3", "AVHRR Cloud Properties - PATMOS-x", "This dataset provides scientific researchers a high quality Climate Data Record (CDR) of multiple cloud properties along with AVHRR brightness temperatures. Examples of applications are climate monitoring including trend detection and quantification of climate variability\, radiation and energy budget studies\, climate model validation and hydrology studies."
"C00844", "NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature (OISST) Analysis\, Version 2", "Sea Surface Temperature - Optimum Interpolation", "This dataset provides a high quality Climate Data Record (CDR) of Sea Surface Temperature. The NOAA 1/4 degree daily Optimum Interpolation Sea Surface Temperature (or daily OISST) provides complete ocean temperature fields constructed by combining bias-adjusted observations from different platforms (satellite\, ships\, buoys) on a regular global grid\, with gaps filled in by interpolation. Satellite data from the Advanced Very High Resolution Radiometer (AVHRR) provides the main input which permits the high temporal-spatial coverage beginning in late 1981 to the present; this must be adjusted to the buoys due to erroneous cold SSTs following the Mount Pinatubo and El Chichon eruptions. Applications include climate modelling\, resource management\, ecological studies on annual to daily scales."
"C00854", "NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR)\, Version 1 Revision 1", "Precipitation - PERSIANN-CDR", "This dataset provides a high quality Climate Data Record (CDR) of precipitation. Data are intended to support Climatologists\, Hydrologists\, Hydrometeorologists\, and Hydroclimatologists in various forms of climate research\, including extreme event (flood and drought) analysis."
"C00858", "NOAA Climate Data Record (CDR) of AVHRR Daily and Monthly Aerosol Optical Thickness over Global Oceans\, Version 2.0 (Version Superseded)", "AVHRR Aerosol Optical Thickness", "This dataset provides a high quality Climate Data Record (CDR) of aerosol optical thickness (AOT). As a high quality climate data record\, this dataset can be used for climate model evaluation as well as air pollution and climate assessment."
"C00875", "NOAA Climate Data Record (CDR) of Daily Outgoing Longwave Radiation (OLR)\, Version 1.2", "Outgoing Longwave Radiation - Daily", "This dataset provides a high quality Climate Data Record (CDR) of daily Outgoing Longwave Radiation (OLR). Examples of applications are users conducting studies/operation in global change monitoring\, earth radiation budget\, precipitation\, tropical dynamics and monsoon diagnostics/forecast\, and tropical expansion."
"C00887", "NOAA Climate Data Record (CDR) of Sea Surface Temperature - WHOI\, Version 1.0 (Version Superseded)", "Sea Surface Temperature - WHOI; SeaFlux OSB CDR: SST", "This dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of sea surface temperature that can be used for any analysis of the latent and	sensible heat fluxes and the associated surface parameters from synoptic scale through climate variability."
"C00888", "NOAA Climate Data Record (CDR) of Ocean Heat Fluxes\, Version 1.0 (Version Superseded)", "Ocean Heat Fluxes; SeaFlux OSB CDR: Heat Fluxes", "This dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of the air/ocean heat fluxes that can be used for any analysis of the latent and sensible heat fluxes and the associated surface parameters from synoptic scale through climate variability."
"C00889", "NOAA Climate Data Record (CDR) of Ocean Near Surface Atmospheric Properties\, Version 1 (Version Superseded)", "Ocean Near Surface Atmospheric Properties; SeaFlux OSB CDR: Ocean Near Surface Atmospheric Properties", "This dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of air temperature\, wind speed\, and specific humidity over the ocean surface that can be used for any analysis of the latent and sensible heat fluxes and the associated surface parameters from synoptic scale through climate variability."
"C00898", "NOAA Climate Data Record (CDR) of Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR)\, Version 4", "Leaf Area Index and FAPAR", "This dataset provides scientific researchers a high quality Climate Data Record (CDR) of Leaf Area Index (LAI) and the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) for detecting drought-stressed regions\, forecasting agricultural yields\, and forestry and crop management. LAI and FAPAR\, two biophysical variables\, characterize the canopy and photosynthetic activity of plants. The one-sided green leaf area per unit ground surface area describes the LAI data set. The fraction of the incoming solar radiation in the Photosynthetically Active Radiation spectral region that is absorbed by the plants defines the FAPAR data set. The LAI/FAPAR CDR produces a daily product on a 0.05 degree by 0.05 degree grid from 1981 to present derived from Advanced Very High Resolution Radiometer (AVHRR) sensors."
"C00899", "NOAA Climate Data Record (CDR) of Solar Spectral Irradiance (SSI)\, NRLSSI Version 2", "Solar Spectral Irradiance", "The purpose of this Climate Data Record is to provide a continuous and long-term record of solar spectral irradiance (SSI) for scientists and modelers in the solar\, atmospheric and chemistry sciences as well as the energy industry."
"C00930", "NOAA Climate Data Record (CDR) of Zonal Mean Ozone Binary Database of Profiles (BDBP)\, version 1.0", "Ozone - ESRL", "The dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of ozone at multiple altitude or pressure levels. The monthly means that are the basis for the regression model can also be used for ozone data analyses directly\, e.g. trend studies. However\, these are not available for all months of the period 1979 to 2007\, and not all latitude bands."
"C00935", "NOAA Climate Data Record of Microwave Sounding Unit (MSU) and Advanced Microwave Sounding Unit (AMSU-A) Mean Layer Temperature\, Version 3.0", "Mean Layer Temperature - NOAA", "This dataset provides advanced scientific researchers a high quality Climate Data Record (CDR) of Upper Atmospheric Layer Temperatures. It is used for monitoring and investigation of long-term temperature trend and variability for the atmospheric layers as defined by TMT\, TUT\, and TLS."