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8,038 results for “validation.”
GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) IFLOODS V1
The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) IFloodS dataset was collected during the GPM Ground Validation Iowa Flood Studies (IFLoodS) field campaign in central-northeastern Iowa in 2013. This campaign aimed to improve satellite precipitation measurements for flood prediction by using ground measurements to improve satellite retrieval algorithms. The Two-Dimensional Video Disdrometer (2DVD), developed by Joanneum Research (Graz, Austria), measures raindrop characteristics such as size distribution, shape, and velocity. The 2DVD IFloodS data was collected from 6 sites from April 3, 2013 to June 18, 2013. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the 2DVD instruments were installed and calibrated prior to the start, allowing for the wider period of record. The dataset contains daily ASCII files that include measurements for various precipitation parameters.
GPM Ground Validation Ceilometers UConn
The GPM Ground Validation Ceilometers UConn dataset includes ceilometer cloud height measurements. These data were collected during the GPM Ground Validation Field Campaign at the University of Connecticut (UConn), which provided an unprecedented set of wintry precipitation observations from multiple traditional and novel precipitation measurement instruments that can be used for validating ground-based and satellite remote sensing observations. The ceilometer dataset files are available from December 15, 2023, through May 21, 2024, in netCDF-4 format, with associated browse data available in PNG format.
GPM GROUND VALIDATION KAPX NEXRAD GCPEX V1
The GPM Ground Validation KAPX NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. This data set were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx datasets include data files and browse image files. These data files are available as level 2 binary files and level 3 compressed binary files.
GPM Ground Validation Precipitation Occurrence Sensor System (POSS) LPVEx V1
The GPM Ground Validation Precipitation Occurrence Sensor System (POSS) LPVEx dataset consists of precipitation and radar parameter estimates for both liquid and solid precipitation. Measurements were collected by the Precipitation Occurrence Sensor System (POSS) during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The POSS dataset files are available from September 18, 2010 through April 20, 2011 for two POSS sites: Emasalo and Jarvenpaa. The data files are in CSV format with browse imagery in PNG format.
GPM Ground Validation KMRX NEXRAD IPHEx V1
The GPM Ground Validation KMRX NEXRAD IPHEx dataset contain data from the KMRX NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere.
LBA-ECO LC-22 Field Validation of MODIS Deforestation Detection, Brazil, 2005
This data set contains field observations, corresponding GPS points, and point and polygons of deforested areas in the state of Mato Grosso, Brazil, for the period March 17-24,2005. Fieldwork was conducted in the regions surrounding Sinop, Mato Grosso, with specific emphasis on large clearings occurring in the Xingu Basin. The field campaign was designed to validate preliminary MODIS deforestation products designed to detect deforestation during the wet season. There are five data files with this data set: four shapefiles (.shp) and one comma-separated file (.csv).
GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) SNOW SURVEYS GCPEX V1
The GPM Ground Validation Environment Canada Snow Surveys GCPEx dataset was manually collected during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada, January 20, 2012 through February 27, 2012 across four sites (CARE, Steamshow, Huronia Airport, and Skydive-Jump). GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Snow depth, water equivalent and density transects were surveyed weekly at each of the GCPEx sites in order to provide baseline information on the distribution of snow on the ground. Pairs of bulk density and snow water equivalent measurements were made every 25 m along the same transect using an ESC-30 (30 cm2 cross sectional area) snow corer. Snow depth measurements were made every 50 cm along a 100 m transect using a GPS equipped snow depth probe.
RSS SMAP Level 2C Sea Surface Salinity NRT V5.0 Validated Dataset
The SMAP-SSS level 2C near real-time (NRT) V5.0 dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides near real-time orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. SMAP, launched on January 31, 2015, was initially designed to measure and map Earth's soil moisture and freeze/thaw state to better understand terrestrial water, carbon and energy cycles, and has been adapted to measure ocean SSS and ocean wind speed using its passive microwave instrument. The SMAP instrument is in a near polar orbiting, sun synchronous orbit with a nominal 8 day repeat cycle. <br><br>The dataset includes derived SMAP SSS, SSS uncertainty using the NRT SMAP Salinity Retrieval Algorithm, top of atmosphere brightness temperature (TB), wind speed and direction data for extreme winds, and other all necessary ancillary data and the results of all intermediate steps. Data from July 28, 2022 to present, is available with a latency of about 6 hours. The observations are global, provided on a 0.25° fixed Earth grid with an approximate spatial resolution of 70 km. The major differences to the standard version 5.0 data products are: (1) the NRT version of the L1B SMAP antenna temperatures is used, (2) the latest 6-hourly 0.25° wind speed and direction are used for the ancillary wind speed and direction input, (3) the CMC SST from 2 days earlier is used for the ancillary SST input, (4) the sea-ice mask of the 3-day aggregate RSS AMSR-2 Air-Sea Essential Climate Variables (AS-ECV) data set from 2-days earlier is used for the sea-ice flag, (5) no correction for sea-ice contamination is performed, it is recommended to use only SMAP data that are classified to be within sea-ice zone 0 for open ocean scene and no sea-ice contamination.<br><br>This RSS SMAP-SSS V5.0 NRT dataset holds tremendous potential for scientific research and various applications. Given the SMAP satellite's near-polar orbit and sun-synchronous nature with its 1000km swath, it achieves global coverage in approximately three days, enabling researchers to monitor and model global oceanic and climatic phenomena with unprecedented detail and timeliness. These data can inform and enhance understanding of global weather patterns, the Earth’s hydrological cycle, ocean circulation, and climate change.
LBA-ECO LC-22 Field Validation of MODIS Deforestation Detection, Brazil, 2003-2004
This data set contains field observations, corresponding GPS points, and point and polygons of deforested areas in the state of Mato Grosso, Brazil, for the period August 2003 to July 2004. The field observations were conducted in the forested areas between Nova Mutum and Sinop, MT. These data were part of a study to validate Moderate Resolution Imaging Spectroradiometer (MODIS) data at 250-m resolution for the detection of deforested areas.There are 16 data files with this data set. This includes 10 shapefile (.shp) and six comma-separated files (.csv).
GPM Ground Validation TRMM Multi-satellite Precipitation Analysis (TMPA) IFloodS V7
The GPM Ground Validation TRMM Multi-satellite Precipitation Analysis (TMPA) IFloodS dataset is a subset of the TMPA 3B42RT gridded precipitation real-time product selected for the time period of the GPM Ground Validation Iowa Flood Studies (IFloodS) held in Iowa during April 1, 2013 to June 30, 2013. The goals of IFloodS 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. TMPA is a calibration-based sequential scheme for combining microwave (MW) and infrared (IR) precipitation estimates from multiple satellites, as well as surface precipitation gauge analyses where feasible, to produce precipitation estimates at fine scales: 3-hourly, 0.25 degree maps. The TMPA IFloodS product is available in netCDF-4 and binary formats, as well as 3-hour rainfall browse images in JPG format.
LBA-ECO LC-07 Validation Overflight for Amazon Mosaics, Video, 1999
This data set presents georeferenced digital video files from Validation Overflight for Amazon Mosaics (VOAM) aerial video surveys as part of the Large-Scale Biosphere-Atmosphere Experiment in the Amazon. The VOAM flights were carried out in the wet-season (June) 1999 in the Brazilian Amazon to provide ground verification for mapping of wetland cover with the Global Rain Forest Mapping (GRFM) Project JERS-1 (Japanese Earth Remote Sensing Satellite) mosaics of the Amazon basin. Digital camcorder systems were installed in a Bandeirante survey plane operated by Brazil's National Institute for Space Research. The VOAM99 surveys circumscribed the Brazilian Amazon, documenting ground conditions at resolutions on the order of 1-m (wide-angle format) and 10-cm (zoom format) for wetlands, forests, savannas, and human-impacted areas. Other applications of the VOAM videography include acquisition of ground control points for image geolocation, creation of a high-resolution geocoded mosaic of a forest study area, forest biomass estimation, and rapid assessment of fire damage. Geocoded digital videography provides a cost-effective means of compiling a high-resolution validation data set for land cover mapping in remote, cloud-covered regions.
GPM GROUND VALIDATION KTYX NEXRAD GCPEX V1
The GPM Ground Validation KTYX NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files.
GPM GROUND VALIDATION CHILL RADAR MC3E V1
The GPM Ground Validation CHILL Radar MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which was held in Oklahoma were collected while the NASA ER-2 aircraft conducted a series of four legs along the 090 and 120 degree CHILL azimuths on May 24, 2011. Dual linear polarization variables as well as Doppler velocity, radial velocity, and normalized coherent power are contained in this dataset. In an effort to expand the MC3E sampling to a wider geographical area, the NASA ER-2 aircraft was directed to Northeastern Colorado while widespread rain was in progress on May 24, 2011. The aircraft flew a series of pre-defined ground tracks that coincided with radials from the CSU-CHILL radar. This aided in keeping the aircraft in the plane of a series of RHI scans done by CSU-CHILL. The single polarization CSU-Pawnee radar maintained volume coverage of the echo system while the radial flight legs were in progress. During aircraft course reversals at the ends of the radial legs, the CHILL and Pawnee radars started volume scans in synchronization to support dual Doppler wind syntheses. The Pawnee radar data are available as a seperate dataset.
GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) OLYMPEX
The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) OLYMPEX dataset consists of brightness temperatures from 9 channels as measured by CoSMIR when flown on the NASA DC-8 aircraft during the Global Precipitation Mission (GPM) Olympic Mountains Experiment (OLYMPEX) campaign. CoSMIR is a conical and cross-track scanning radiometer with frequencies centered at 50.3, 52.8, 89.0, 165.5, 183.31+/-1, 183.31+/-3, and 183.31+/-7 GHz. Data files are available from November 5, 2015 thru December 19, 2015 in HDF-5 format, with browse imagery files in PNG format containing brightness temperature time series plots.
GPM GROUND VALIDATION NASA S-BAND DUAL POLARIMETRIC (NPOL) DOPPLER RADAR IFLOODS
The GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IFloodS dataset was collected from April 30 to June 16, 2013 near Traer, Iowa as part of the Global Precipitation Measurement (GPM) mission Iowa Flood Studies (IFloodS) campaign. Officially the IFloodS campaign ran from May 1 to June 15 but the NPOL Doppler radar was installed and calibrated prior to the start, allowing for the wider period of record. The NPOL radar, developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric, doppler research radar that collected and operated nearly continuously during the IFloodS field campaign. It takes accurate volumetric measurements of precipitation including rainfall rate, particle size distributions, water content and precipitation type. The NPOL Doppler Radar IFloodS data is available in Universal Format (UF) with browse images available in PNG file format.
GPM GROUND VALIDATION ACHIEVE W-BAND CLOUD RADAR IPHEX V1
The GPM Ground Validation ACHIEVE W-band Cloud Radar IPHEx dataset consists of cloud and light precipitation radar observations gathered during the Global Precipitation Measurement (GPM) mission Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) Intensive Observing Period (IOP) in North Carolina from May 1 through June 15, 2014. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The dataset includes data from the ProSensing 95 GHz W-band cloud radar, which is part of the NASA Goddard Space Flight Center (GSFC) Aerosol, Cloud, Humidity, Interactions Exploring and Validating Enterprise (ACHIEVE) ground-based mobile laboratory. The W-band cloud radar is a scanning 95 GHz dual-polarization (horizontal transmission and co- and cross-polar receiving) Doppler radar used for observing liquid and ice clouds and light precipitation. The instrument measures co- and cross-polar reflectivity, radial velocity, Doppler spectrum width, and signal-to-noise ratio. Linear depolarization ratio was derived from the measured parameters. During the IPHEx campaign, the W-Band radar was used exclusively in vertical-pointing mode. The dataset files are available from May 9 through June 14, 2014 in netCDF-3 data format.
GPM Ground Validation Upper Air Radiosonde LPVEx V1
The GPM Ground Validation Radiosonde LPVEx dataset consists of sounding data collected as part of the Global Precipitation Measurement (GPM) mission Ground Validation Light Precipitation Validation Experiment (LPVEx). This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high altitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Vaisala RS92 radiosonde was used to produce vertical profiles of atmospheric temperature, pressure, humidity, and winds. The radiosondes were launched from two locations: Kumpula and Vantaa. The Upper Air Radiosonde LPVEx dataset consists of TSV data files and PNG browse image files.
GPM Ground Validation KGSP NEXRAD IPHEx V1
The GPM Ground Validation KGSP NEXRAD IPHEx dataset contain data from the KGSP NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere.
GPM Ground Validation Autonomous Parsivel Unit (APU) ICE POP V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) ICE POP dataset was collected during 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 Global Precipitation Measurements mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from October 31, 2015 through July 1, 2018. It should be noted that this dataset extends prior to the field campaign.
CALIPSO Wide Field Camera Level 1B 125m Native Science data, Validated Stage 1 V3-01
CAL_WFC_L1_125m-ValStage1-V3-01 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC) Level 1B 125m Native Science data, Validated Stage 1 Version 3-01. Data collection for this product is complete. Version 3.01 includes new metadata parameters and corrections to several minor software bugs. Specifically, the Orbit Number and Path Number metadata parameters are now included to facilitate improved subsetting capabilities. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During the normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The WFC Level 1B 125 m Native Science data product provides WFC radiance and reflectance measurements across just the central 5 km swath at 125 m resolution. No spatial interpolation is performed. CALIPSO was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite is comprised of three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the WFC. CALIPSO is a joint satellite mission between NASA and the French Agency, CNES (Centre National d'Etudes Spatiales).
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