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.

*Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* The dataset contains three MSU channel-based, monthly gridded atmospheric layer temperature Climate Data Records generated by merging nine NOAA polar orbiting satellites, TRIOS-N and NOAA-6 through NOAA-14. These are temperatures of middle-troposphere (TMT), upper-troposphere (TUT, also known as temperature troposphere stratosphere), and lower-stratosphere (TLS), corresponding to measurements from MSU channels 2, 3, and 4, respectively. These products have global coverage with a 2.5 latitudes by 2.5 longitude grid resolution. Time period is from November 1978 through September 2006. Adjustments of observations included limb-adjustment, diurnal drift corrections, warm target temperature effect, and residual inter-satellite bias removal.

*Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* The dataset contains three MSU channel-based, monthly gridded atmospheric layer temperature Climate Data Records generated by merging nine NOAA polar orbiting satellites, TRIOS-N and NOAA-6 through NOAA-14. These are temperatures of middle-troposphere (TMT), upper-troposphere (TUT, also known as temperature troposphere stratosphere), and lower-stratosphere (TLS), corresponding to measurements from MSU channels 2, 3, and 4, respectively. These products have global coverage with a 2.5 latitudes by 2.5 longitude grid resolution. Time period is from November 1978 through September 2006. Adjustments of observations included limb-adjustment, diurnal drift corrections, warm target temperature effect, and residual inter-satellite bias removal.

The NOAA Hydrological Properties for Applications Thematic Climate Data Record (TCDR) consist of Advanced Microwave Sounding Unit-A (AMSU-A), Advanced Microwave Sounding Unit-B (AMSU-B) and Microwave Humidity Sounder (MHS) data to help with the long term monitoring of the global water cycle. The data cover a time period from 1998 to 2010, at roughly a 48 km (AMSU-A) and a 16 km resolution (AMSU-B/MHS) resolution over the entire globe with 30 (AMSU-A) and 90 (AMSU-B/MHS) observations per scan. Visual inspections and verification of the various corrections were applied to the data to improve data accuracy. AMSU-A TCDR variables consist of Total Precipitable Water (TPW), Cloud Liquid Water (CLW), Sea-Ice concentration (SIC), Land surface temperature (LST), Land surface emissivity (23, 31, 50 GHz) (LSE). AMSU-B/MHS TCDR variables consist of Ice water path (IWP), rain rate (RR), snow cover (SC) and snow water equivalent (SWE). The data are ideal for helping with things like validating climate model simulations; identifying climate extremes; validating other observations and more.

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.

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.

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.

This dataset contains Level 1c inter-calibrated brightness temperatures from the Microwave Sounding Unit (MSU) sensors onboard nine polar orbiting satellites (TIROS-N, NOAA-6, -7, -8, -9, -10, -11, -12, and -14) spanning from 1978 to 2006. 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 temperatures in the NOAA CDR Program. MSU is a four-channel microwave radiometer measuring at 50.3, 53.74, 54.96, and 57.95 GHz, and has ground spatial resolution of about 250 km in diameter at nadir. The native MSU 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 MSU channels 2 through 4 for the IMICA calibration, and channels 1 through 4 for the operational calibration. The inter-calibrated MSU data are not expected to change for the dataset time period.