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AIRS-CloudSat cloud mask and radar reflectivities collocation indexes V4.0 (AIRS_CPR_IND) at GES_DISC

Version 4.1 is the current version of the data set. Previous versions are no longer available and have been superseded by Version 4.1.This is AIRS-AMSU-CloudSat collocation indexes, in netCDF-4 format. These data map CloudSat profile indexes to the collocated AMSU field of views, and AIRS IR footprints, per AIRS 6-min granule time. Hence it can be considered as Level 1. These data are created within the frames of the MEaSUREs project.The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, & CloudSat), classify each "scene" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time "matchups" between pairs of instruments, and process years of satellite data to produce the climate data records.The short name for this collection is AIRS_CPR_IND

AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRS_CPR_MAT) at GES DISC

This is AIRS-CloudSat collocated subset, in NetCDF-4 format. These data contain collocated: AIRS Level 1b radiances spectra, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each "scene" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time "matchups" between pairs of instruments, and process years of satellite data to produce the climate data records.The short name for this collection is AIRS_CPR_MATParameters contained in the data files include the following:Variable Name|Description|Units CldFrcStdErr|Cloud Fraction|(None) CloudLayers| Number of hydrometeor layers| (count) CPR_Cloud_mask| CPR Cloud Mask| (None) DEM_elevation| Digital Elevation Map| (m) dust_flag|Dust Flag|(None) latAIRS|AIRS IR latitude|(deg) Latitude|CloudSat Latitude |(degrees) LayerBase| Height of Layer Base| (m) LayerTop| Height of layer top| (m) lonAIRS|AIRS IR longitude|(deg) Longitude|CloudSat Longitude| (degrees) MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| (None) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) radiances|Radiances|(milliWatts/m**2/cm**-1/steradian) Sigma-Zero| Sigma-Zero| (dB*100) spectral_clear_indicator|Spectral Clear Indicator|(None) Vertical_binsize|CloudSat vertical binsize| (m)End of parameter information

GPM Ground Validation Cloud Radar System (CRS) OLYMPEX V1

The GPM Ground Validation Cloud Radar System (CRS) OLYMPEX dataset provides radar reflectivity and Doppler velocity data collected during the Olympic Mountain Experiment (OLYMPEX). This dataset is used to estimate cloud droplet distribution for the storms monitored during the field campaign. The CRS instrument is a 94GHz W-band Doppler radar with a 3mm wavelength. CRS can be deployed as both an airborne instrument onboard NASA’s high-altitude science aircraft, the Earth Resource 2 (ER-2), as well as a ground based radar system. Only the airborne mode was used during OLYMPEX. In addition to reflectivity and Doppler velocity, the data files include aircraft flight information. The CRS was flown on 10 different days between November 10, 2015 and December 10, 2015. Each data file contains one hour of flight measurements during flight in UTC time. Files for this dataset are in netCDF-3 format and readily accessible without the need of specialized software.

BOREAS AFM-06 NOAA/ETL 35 GHz Cloud/Turbulence Radar GIF Images

The BOREAS AFM-06 team from the National Oceanic and Atmospheric Administration Environmental Technology Laboratory (NOAA/ETL) operated a 35 GHz cloud-sensing radar in the Northern Study Area (NSA) near the Old Jack Pine (OJP) tower from 16-Jul-1994 to 08-Aug-1994. This data set contains a time series of GIF (Graphical Interchange Format) images that show the structure of the lower atmosphere. Companion files include (1) an image inventory listing to inform users of the images that are available and (2)example thumbnail images.

GPM Ground Validation NASA W-band Aircraft Cloud Radar (WACR) C3VP V1

The GPM Ground Validation NASA W-band Airborne Cloud Radar (WACR) C3VP dataset consists of calibrated co- and cross-polarized radar reflectivity at 94 GHz during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The WACR is used for cloud sensing and microphysics. During C3VP, the WACR was deployed as a surface-based, zenith-pointing instrument in the Cloud Radar Trailer at the Centre for Atmospheric Research Experiments (CARE) facility in Ontario, Canada. The data include radar reflectivities in zenith-pointing orientation at the CARE facility. The dataset files are available in netCDF format from October 30, 2006 through March 2, 2007.

restrictednotspecifiedAug 2025View details →

Cloud Radar System (CRS) ALOFT

The Cloud Radar System (CRS) ALOFT dataset consists of calibrated radar reflectivity, Doppler velocity, linear depolarization ratio, and normalized radar cross-section estimates collected by the Cloud Radar System (CRS) onboard the NASA ER-2 high-altitude research aircraft. These data were gathered during the Airborne Lightning Observatory for Fly’s Eye Geostationary Lightning Mapper Simulator and Terrestrial Gamma-ray Flashes (ALOFT) field campaign. ALOFT aimed to study terrestrial gamma-ray flashes (TGFs) and gamma-ray glows in thunderstorms and to validate observations from the International Space Station Lightning Imaging Sensor (ISS LIS) and the Geostationary Lightning Mapper (GLM). The CRS ALOFT dataset files are available from June 15, 2023, through July 31, 2023, in HDF-5 format.

Cloud Radar System (CRS) IMPACTS

The Cloud Radar System (CRS) IMPACTS dataset consists of calibrated radar reflectivity, Doppler velocity, linear depolarization ratio, and normalized radar cross-section estimates collected by the Cloud Radar System (CRS) onboard the NASA ER-2 high-altitude research aircraft. These data were gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The CRS IMPACTS dataset files are available from January 25, 2020, through February 28, 2023, in HDF-5 format.

GPM Ground Validation NASA W-band Aircraft Cloud Radar (WACR) C3VP

restrictednotspecifiedMar 2025View details →

Advanced W-Band Gallium Nitride Monolithic Microwave Integrated Circuits (MMICs) for Cloud Doppler Radar Supporting ACE Project

Develop W-band Gallium Nitride (GaN) MMICs to enable the advanced cross-track scanning, dual-frequency Doppler cloud radar concept in support of the Aerosol-Cloud-Ecosystem (ACE) mission. Targeted GaN MMIC component performance goals are: Power amplifier (PA): 1 Watt with 12 dB gain. Low noise amplifier (LNA): &lt;6 dB noise figure with&nbsp;&nbsp;&nbsp;&nbsp; 17 dB gain. Single pole double throw switch (SPDT): &lt;3 dB insertion loss. Phase shifter: 4 bit resolution and &lt;8 dB insertion loss. Integrated MMIC chip with all transceiver front end functions. &nbsp;

GPM GROUND VALIDATION WYOMING CLOUD RADAR (WCR) LPVEX V2

The GPM Ground Validation Wyoming Cloud Radar (WCR) LPVEx V2 dataset includes reflectivity and Doppler velocity measurements obtained by the Wyoming Cloud Radar (WCR) flown on board the University of Wyoming King Air (UWKA) aircraft, as well as aircraft navigation parameters. These data were collected as part of the Light Precipitation Validation Experiment (LPVEx) in September and October of 2010 around the Gulf of Finland. The dataset was collected to aid in achieving the overarching goals of LPVEx, to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms and to detect and understand the process of light rainfall formation at high latitudes. Data files are available in netCDF-3 format from September 16 through October 20, 2010 along with browse imagery in PDF and PNG format.