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GPM GROUND VALIDATION PRECIPITATION VIDEO IMAGER (PVI) GCPEX V1
The GPM Ground Validation Precipitation Video Imager (PVI) GCPEx dataset collected precipitation particle images and drop size distribution data from November 2011 through March 2012during the GPM Cold-season Precipitation Experiment (GCPEx). Data files in an Excel format contain the average, minimum, and logarithmic drop size distribution bin sizes and number of particles. Browse images are available online. The PVI instrument was designed by Dr. Larry Bliven at NASA Wallops Flight Facility.
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GPM GROUND VALIDATION PLUVIO PRECIPITATION GAUGE GCPEX
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The GPM Ground Validation Pluvio Precipitation Gauge GCPEx dataset contains both one minute measurements and a cumulative record of the accumulation and intensity for liquid, solid, and mixed precipitation collected during the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. GCPEx took place in Ontario, Canada uring the winter season of December 2011 through February 2012 where data was collected at five sites: CARE, Huronia, Steamshow, Skydive and Morton.
GPM Ground Validation Precipitation Imaging Package (PIP) ICE POP V1
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The GPM Ground Validation Precipitation Imaging Package (PIP) ICE POP dataset includes precipitation measurements and video images collected by the Precipitation Imaging Package (PIP) 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 the Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. Data values obtained using PIP measurements include particle size distributions, fall velocity distributions, precipitation density estimates, and precipitation rates. The dataset files are available from June 18, 2017 through December 30, 2018 as generic data files (.dat) in ASCII-CSV format with browse imagery and video available in PNG and AVI format.
GPM Ground Validation Precipitation Video Imager (PVI) LPVEx V1
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The GPM Ground Validation Precipitation Video Imager (PVI) LPVEx dataset consists of precipitation particle images and drop size distribution (DSD) data collected by the Precipitation Video Imager (PVI) 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 PVI instrument was designed by Dr. Larry Bliven at NASA Wallops Flight Facility. Data files are available from September 17, 2010 through May 11, 2011 in Excel format and contain the average, minimum, and logarithmic DSD bin sizes and number of particles per unit time. Browse images are available in BMP and JPG formats.
GPM GROUND VALIDATION TOTAL PRECIPITATION SENSOR (HOTPLATE) GCPEX V1
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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 Precipitation Occurrence Sensor System (POSS) LPVEx V1
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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 ENVIRONMENT CANADA (EC) MANUAL PRECIPITATION MEASUREMENTS GCPEX V1
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The GPM Ground Validation Environment Canada (EC) Manual Precipitation Measurements GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada with data collections from January 18 - March 28, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Precipitation amount, weight, snow water equivalent and present weather condition were recorded using a Tretyakov gauge inside a double fence intercomparison reference (DFIR) shield.
GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) MANUAL PRECIPITATION MEASUREMENTS GCPEX
공공데이터포털
The GPM Ground Validation Environment Canada (EC) Manual Precipitation Measurements GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada with data collections from January 18 - March 28, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Precipitation amount, weight, snow water equivalent and present weather condition were recorded using a Tretyakov gauge inside a double fence intercomparison reference (DFIR) shield.