The GPM Ground Validation Pluvio Precipitation Gauge LPVEx dataset contains both one minute measurements and a cumulative record of the accumulation and intensity of liquid, solid, and mixed precipitation. This dataset was collected during the Light Precipitation Experiment (LPVEx) which was part of the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment which took place in Finland from September 2010 to October 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. The campaign will use these measurements to better understand the process of light rainfall formation at high latitudes and augment the currently limited database of light rainfall microphysical properties that form the critical assumptions at the root of satellite retrieval algorithm. Data were collected at three sites: Harmaja, Emasalo, and Jarvenpaa.

The GPM Ground Validation Pluvio Precipitation Gauges OLYMPEX dataset contains one-minute precipitation rate and precipitation accumulation measurements, as well as start and end times of precipitation events, that were collected during the Olympic Mountain Experiment (OLYMPEX) field campaign on the Olympic Peninsula in the Pacific Northwest of the United States. A Pluvio 400 weighing bucket gauge created by OTT Hydromet in Kempten, Germany was used to collect data at three different sites: Neilton Point (apu04), Wynoochee Trailer (apu10), and Upper Quinault Enchanted Valley (apu30). Data were collected from October 31, 2015 through January 31, 2016, but exact dates vary by site. Data files are available in ASCII-tsv format.

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.

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.

The GPM Ground Validation NASA EPFL-LTE Parsivel DSD Data Lausanne, Switzerland dataset consists of a network of 16 Parsivel disdrometers deployed on the Ecole Polytechnique Federale de Lausanne (EPFL) campus in Lausanne, Switzerland for about 16 months from March 2009 to July 2010. The distribution of the disdrometers was to cover a typical operational radar pixel (about 1x1 km2). Since all the stations were not deployed at the same time, additional data are available from November 2008 to September 2010. The dataset also consists of a list of precipitation events that occurred throughout the study period. There are two types of data, raw data and filtered volumic drop size distribution data. These data are in ASCII (.dat, .txt) format that are compressed into .gz files.

GPM GV Parsivel UConn

The GPM Ground Validation Autonomous Parsivel Unit (APU) GCPEx 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 GPM Cold-season Precipitation Experiment (GCPEx) addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. 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. The APU dataset for GCPEx provides precipitation data including raindrop size, raindrop counts, precipitation drop size, precipitation rate, precipitation amount, and snowflake size, counts and distribution. The GCPEx APU data was collected from several sites in Canada during the Winter 2011-2012 period.

The GPM Ground Validation Mission Reports GCPEx dataset consists of various reports filed by the scientists during the GPM Cold-season Precipitation Experiment (GCPEx) campaign which took place from January 15 - February 29, 2012 in Ontario, Canada; however, this dataset spans from September 4, 2011 to May 11, 2012. GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinating model simulations of precipitating snow. Report categories include the Mission Scientist, Mission Manager, Instrument Scientists, Weather Forecasts and Plan of Day. Many reports have additional information attached.

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.