The NOAA Radiosonde Observations Data Set contains data that were extracted from the NOAA operational analysis system and transmitted to the FIS. Data are available from July 1985 to October 1988, there are 1123 days of data during this period with data at twelve hour intervals. These data were collected using sondes released in Dodge City and Topeka, Kansas, 337 km and 68 km, respectively, from the FIFE site. Radiosonde observations were made to determine the pressure, temperature, and humidity from the surface to the point where the sounding was terminated.

Hourly surface weather reports collected by NESDIS for stations near FIFE

NCDC radiosonde atmospheric profile data from stations near FIFE

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.

The Mean Layer Temperature - NOAA CDR V5.0 is a monthly global dataset with 2.5°×2.5° grid resolution covering the period from November 1978 to present. The dataset measures mean layer atmospheric temperatures from the lower-troposphere to the lower-stratosphere. The dataset was inter-calibrated and merged from three generations of microwave sounders, MSU, AMSU-A, and ATMS, with 16 polar-orbiting satellites including TIROS-N, NOAA-6, NOAA-7, NOAA-8, NOAA-9, NOAA-10, NOAA-11, NOAA-12, NOAA-14, NOAA-15, NOAA-18, NOAA-19, MetOp-A, Aqua, SNPP, and NOAA-20. The dataset includes temperature mid-troposphere (TMT, MSU channel 2 merged with AMSU-A channel 5 and ATMS channel 6), temperature upper-troposphere (TUT, MSU channel 3 merged with AMSU-A channel 7 and ATMS channel 8), temperature lower-stratosphere (TLS, MSU channel 4 merged with AMSU-A channel 9 and ATMS channel 10), and temperature lower-troposphere (TLT, derived from combinations of TMT, TUT, and TLS). TLT, TMT, TUT, and TLS measure layer temperatures peaking roughly at 3km, 5km, 10km, and 17km, respectively, above the Earth's surface. Features in the dataset development include a use of backward merging approach, development of an observation- and semi-physically-based algorithm for diurnal drift adjustment, and removal of spurious calibration drifting errors in NOAA-15, NOAA-14, NOAA-12, and NOAA-11 through recalibration. Satellite microwave sounding observations in stable sun-synchronous orbits (Aqua, MetOp-A, SNPP, NOAA-20) were used as a reference in the backward merging process. Bias corrections and satellite recalibration have resulted in inter-consistent CDR records for reliable climate change investigation.

TOVS data received by FIFE

This dataset contains gridded daily surface reflectance and brightness temperatures derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensors onboard NOAA polar orbiting satellites. Surface reflectance from VIIRS channels I1, I2, and I3 (at 640, 865, and 1610 nm) are a NOAA Climate Data Record (CDR). The dataset spans from 2014 to 10 days before the present, and was processed from the VIIRS 375m and 750m Earth view Sensor Data Record (SDR) datasets. VIIRS surface reflectance observations are packaged into data arrays with latitude and longitude dimensions of 3600 x 7200 covering the globe at 0.05 degree spatial resolution. This dataset is one of the Land Surface CDR products produced by the NASA Goddard Space Flight Center (GSFC) and the University of Maryland (UMD). Other Land Surface CDR products include the Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR). The dataset is in the netCDF-4 file format following ACDD and CF Conventions. The dataset is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.