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8,038 results for “validation.”
GPM GROUND VALIDATION SPECIAL SENSOR MICROWAVE IMAGER/SOUNDER (SSMI/S) LPVEX V1
The GPM Ground Validation Special Sensor Microwave Imager/Sounder (SSMI/S) LPVEx dataset contains brightness temperature data processed from the NOAA CLASS QC temperature data records for the Light Precipitation Validation Experiment (LVPEX), part of the Global Precipitation Measurement project. The mission was to detect and characterize light rain and evaluate their estimates of rainfall intensity in high latitude, shallow freezing level environments.Only data with swaths within the area of interest are included. The temporal range of the data includes the LPVEx campaign period (September 1, 2010) and extends through the end of March 31, 2011.
VIIRS/JPSS1 BRDF/Albedo Valid Observation Band M2 Daily L3 Global 30ArcSec CMG V002
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M2 product (VJ143D43) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ143D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ143D product contains just one data layer for each of the parameters included in the [VJ143MA2](https://doi.org/10.5067/VIIRS/VJ143MA2.002) product. VJ143D40 through VJ143D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VJ143MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ143D43 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M2.Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website]( https://landweb.modaps.eosdis.nasa.gov/knownissue).Improvements/Changes from Previous VersionsThe NOAA-20 VIIRS algorithms include the same improvements as the S-NPP VIIRS V002* Improved calibration algorithm and better coefficients for entire NOAA-20 mission* Improved geolocation accuracy and updates to fix outliers around maneuver periods and other events* Corrections to the aerosol quantity flag (low, average, high) mainly over brighter surfaces in the mid to high latitudes such as desert and tropical vegetation areas. This has an impact on the retrieval of other downstream data products such as VJ113 Vegetation Indices and VJ143 BRDF/Albedo.* Improved cloud mask input product for corrections along coastlines and artifacts from use of coarse resolution climatology data* Replaced the land/water mask input product with MODIS heritage seven class land/water mask
GPM Ground Validation Goddard Profiling Algorithm (GPROF) 2014 IFloodS V3
The GPM Ground Validation Goddard Profiling Algorithm (GPROF) 2014 IFloodS dataset consists of precipitation data derived from microwave radiometers and sounders located on multiple satellites, including the Defense Meteorological Satellite Program (DMSP) F16-18, the Global Change Observation Mission – Water "Shizuku" (GCOM-W1), the European Space Agency's (ESA’s) Meteorological Operational satellite programme (MetOp) series, and NOAA's Polar Operational Environmental Satellites (POES) series. The data have been consistently processed for the Iowa Flood Studies (IFloodS) field campaign conducted in eastern Iowa during spring 2013. The goals of the IFloodS campaign were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. The GPROF 2014 data files are available from March 31 to July 2, 2013 in HDF-5 format.
Leveraging the Hawaii Ocean Time-series program for validation of the PACE Mission in oligotrophic waters
In this project, we leverage the near-monthly, 5-day long expeditions to oligotrophic waters approximately 100 km from Oahu, Hawaii, conducted by the Hawaii Ocean Time-series (HOT) program. We will participate in ~30 HOT cruises across all seasons over a 3-year period, amounting to ~ 150 days of high-quality collection of a suite of essential parameters for PACE Mission validation.
GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) NSSTC V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) NSSTC dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer based on single particle extinction that measures particle size and fall velocity. This APU consists of the Parsivel, which was developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. This dataset provides rainfall data for the Global Precipitation Measurement (GPM) Mission Ground Validation Experiment collected at the National Space Science Technology Center (NSSTC) in Huntsville, Alabama. The validation effort will entail numerous GPM-specific and joint-agency/international external field campaigns, using state of the art cloud and precipitation observational infrastructure. Surface rainfall will be measured by very dense rain gauge and disdrometer networks at various field campaign sites. There may be occasional gaps in the data when the instrument is not resident at the NSSTC and is sent to participate in field campaigns.
GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar Wallops Flight Facility (WFF) V1
The GPM Ground Validation NASA S-Band Dual-Polarimetric (NPOL) Doppler Radar Wallops Flight Facility (WFF) dataset consists of rain rate, reflectivity, Doppler velocity, and other radar measurements obtained from the NPOL doppler radar positioned at the Wallops Flight Facility (WFF) in support of the Global Precipitation Mission (GPM). NPOL was developed by scientists at WFF and is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric Doppler research radar that was placed near Newark, Maryland between GPM GV missions. Data files are available from December 6, 2013 thru April 28, 2017 in Universal Format (UF), with browse files in PNG format containing images of corrected radar reflectivity, differential reflectivity, specific differential phase, co-polar correlation, and Doppler velocity images. Data are tarred into daily collections of files and zipped for storage and quick download.
GPM Ground Validation SEA FLUX ICE POP V1
The GPM Ground Validation SEA FLUX ICE POP dataset includes estimates of ocean surface latent and sensible heat fluxes, 10m wind speed, 10m air temperature, 10m air humidity, and skin sea surface temperature in support of the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The two major objectives of ICE-POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to the Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. This data file is available in netCDF-4 format from September 1, 2017 through April 30, 2018.
GPM Ground Validation Parsivel UConn
GPM GV Parsivel UConn
GPM Ground Validation Duke Micro Rain Radar (MRR) IPHEx
The GPM Ground Validation Duke Micro Rain Radar (MRR) IPHEx dataset was gathered during the Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina from May 1, 2014 through June 15, 2014. The dataset contains measured and derived data from three MRR instruments placed in separate locations within the study region. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM-CW) radar that measures signal backscatter from which Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation are derived. Data files are available in ASCII data format.
TRMM Ground Validation Radar Site 3D Rain Map L3 1 month 2 km V7 (TRMM_3A55) at GES DISC
The 3A55, 'Monthly 3-D Structure', provides radar site monthly 3-D structure information obtained from 2A55. The 2A55 'Radar Site 3-D Reflectivities', is composed of 3 different fields. The first field has an array of 3-D reflectivities in Cartesian coordinates with a 2 km horizontal resolution over an area of 300 km x 300 km for single radar sites, and 724 km x 568 km for Texas multiple radar site, 512 km x 704 km for Florida multiple radar site. It has a vertical resolution of 1.5km and a height range up to 19.5 km. The second field has an array of vertical profiles based on the first field, and the third field has an array of the Contoured Frequency by Altitude Diagram (CFAD) data based on the first and second field. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: + Darwin, Australia; + Houston, Texas; + Kwajalein, Republic of the Marshall Islands; + Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.
VIIRS/NPP BRDF/Albedo Valid Observation Band M7 Daily L3 Global 30ArcSec CMG V001
The VNP43D47 Version 1 data product was decommissioned on July 31, 2025. Users are encouraged to use the [VNP43D47](https://doi.org/10.5067/VIIRS/VNP43D47.002) and [VJ143D47](https://doi.org/10.5067/VIIRS/VJ143D47.002) Version 2 data products.The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M7 product (VNP43D47) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the [VNP43MA2](https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the [VNP43MA2](https://doi.org/10.5067/VIIRS/VNP43MA2.001) product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D47 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M7.Known Issues* The abnormally high activation of the high aerosol flag in the Collection 1 (C1) VNP09 product has impacted downstream products. The VNP43 BRDF/Albedo/NBAR product is affected by reducing the number of otherwise acceptable observations used as input to characterize surface anisotropy. This effect (most obvious over arid bright surfaces), results in a reduced number of high quality full BRDF model inversions. Therefore, users should be aware that bright arid surfaces (normally associated with high quality BRDF/Albedo/NBAR retrievals) are likely to be somewhat represented by lower quality results in C1. VNP09 has been corrected for Collection 2 (C2). Therefore, users should avoid substantive use of C1 VNP43 over arid regions (and wait for C2 products). In any event, users are **always strongly encouraged** to download and use the extensive QA data provided in VNP43[I-M]A2, in addition to the briefer mandatory QA provided as part of the VNP43[I-M]A1, 3 and 4 products.* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS).
VIIRS/JPSS1 BRDF/Albedo Valid Observation Band M3 Daily L3 Global 30ArcSec CMG V002
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M3 product (VJ143D44) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ143D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ143D product contains just one data layer for each of the parameters included in the [VJ143MA2](https://doi.org/10.5067/VIIRS/VJ143MA2.002) product. VJ143D40 through VJ143D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VJ143MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ143D44 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M3.Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website]( https://landweb.modaps.eosdis.nasa.gov/knownissue).Improvements/Changes from Previous VersionsThe NOAA-20 VIIRS algorithms include the same improvements as the S-NPP VIIRS V002* Improved calibration algorithm and better coefficients for entire NOAA-20 mission* Improved geolocation accuracy and updates to fix outliers around maneuver periods and other events* Corrections to the aerosol quantity flag (low, average, high) mainly over brighter surfaces in the mid to high latitudes such as desert and tropical vegetation areas. This has an impact on the retrieval of other downstream data products such as VJ113 Vegetation Indices and VJ143 BRDF/Albedo.* Improved cloud mask input product for corrections along coastlines and artifacts from use of coarse resolution climatology data* Replaced the land/water mask input product with MODIS heritage seven class land/water mask
GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA ACHIEVE IPHEX V1
The GPM Ground Validation Micro Rain Radar (MRR) NASA ACHIEVE IPHEx dataset was gathered during the Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina from May 1, 2014 through June 15, 2014. The dataset includes data from the MRR instrument, which is part of the NASA Goddard Space Flight Center (GSFC) ACHIEVE ground-based mobile laboratory. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM–CW) radar that measures Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation. Data files are available in ASCII 'ave' data format.
GPM GROUND VALIDATION SATELLITE SIMULATED ORBITS TWP-ICE V1
The GPM Ground Validation Satellite Simulated Orbits TWP-ICE dataset is available in the Orbital database, which takes account for the atmospheric profiles, the cloud/rain profiles, and the detailed surface/terrain information from the Cloud-Resolving Model (CRM) database. Unique geometry and antenna gain patterns of each sensor (GMI imager, GMI sounder, DPR Ku, DPR Ka_MA, DPR Ka_HS) are considered. The Orbital database consists of satellite orbit parameters, geolocation of Field of View and satellite location, and simulated Level 1B/Level 2-like parameters in satellite orbital grid. Orbital data covers a portion of sampling right over the Cloud-resolving model (CRM) domain. All orbital data format is NetCDF3, and it contains dimensions, parameter descriptions, and parameter units. Each project's data is distributed as a separate dataset. MC3E occurred in Oklahoma, USA in 2011; LPVEX took place in Finland in 2010; C3VP experiment was held in Canada in 2007 and TWP-ICE took place in Australia in 2006.
GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) LPVEX V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) LPVEx dataset provides rainfall data for the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment collected at four sites in Finland: Harmaja, Emasalo, Jarvenpaa, and the Gulf of Finland (Aranda) during the Light Precipitation Validation Experiment (LPVEx), which took place during September and October of 2010. The experiment leveraged in situ microphysical property measurements, coordinated remote sensing observations, and cloud resolving model simulations of high latitude precipitation systems to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms.
GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) HYMEX V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) HyMeX dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The HYdrological cycle in Mediterranean EXperiment (HyMeX) aimed to improve the understanding, quantification and modelling of the hydrological cycle in the Mediterranean, with emphasis on the predictability and evolution of extreme weather events, inter-annual to decadal variability of the Mediterranean coupled system, and associated trends in the context of global changeThe APU dataset for HyMeX provides precipitation data including raindrop size, raindrop counts, precipitation drop size, precipitation rate, precipitation amount, and snowflake size, snowflake counts, and snowflake distribution. The HyMeX APU data were collected in Italy and France from September to November 2012.
GPM Ground Validation CXSI Radar Imagery OLYMPEX
The GPM Ground Validation CXSI Radar Imagery OLYMPEX dataset contains radar reflectivity and precipitation rate images obtained from Environment and Climate Change Canada (ECCC)’s weather radar network during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX), which was conducted to validate rain and snow measurements in mid latitude frontal systems as they move from ocean to coast to mountains and to determine how remotely sensed measurements of precipitation by GPM can be applied to a range of hydrologic, weather forecasting, and climate data. These data are available as GIF images for November 19, 2015 through December 31, 2015.
TRMM Ground Validation Rain Existence L2 1 month V7 (TRMM_2A52) at GES DISC
The TRMM_2A52 product displays the existence of rain in the radar volume scan. 'Existence' is the fraction of the radar FOV which has measurable precipitation. The GV radar FOV is defined as a base scan (i.e., the lowest level sweep). Each product file has the Existence data of one site (not one radar) for one month. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: + Darwin, Australia; + Houston, Texas; + Kwajalein, Republic of the Marshall Islands; + Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.
GPM GROUND VALIDATION TOTAL PRECIPITATION SENSOR (HOTPLATE) GCPEX V1
The GPM Ground Validation Total Precipitation Sensor (HotPlate) GCPEx dataset provides a measure of the liquid precipitation rate and accumulation for snow. Additional data includes measurements of temperature, wind speed, relative humidity, pressure, and solar and infrared radiation flux. These data were gathered during the GPM Cold-season Precipitation Experiment (GCPEx) at the CARE and SkyDive sites in Ontario, Canada during November 7, 2011 - February 21, 2012. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow.
GPM Ground Validation Microwave Atmospheric Sounder on Cubesat (MASC) OLYMPEX V1
The GPM Ground Validation Microwave Atmospheric Sounder on Cubesat (MASC) OLYMPEX dataset consists of microwave radiance measurements collected during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. These data were collected by the MASC aboard the NASA DC-8 aircraft, for dates between November 10, 2016 and December 13, 2016. The data are provided in HDF-EOS5 format.
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