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114 results for “disdrometer”
EPFL HYMEX_LTE_SOP2 30 disdrometer station data
Disdrometer measurements of the EPFL HYMEX_LTE_SOP2 30 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HYMEX_LTE_SOP2/metadata/30.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
EPFL HPICONET_2010 11 disdrometer station data
Disdrometer measurements of the EPFL HPICONET_2010 11 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HPICONET_2010/metadata/11.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
EPFL HYMEX_LTE_SOP4 13 disdrometer station data
Disdrometer measurements of the EPFL HYMEX_LTE_SOP4 13 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HYMEX_LTE_SOP4/metadata/13.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
EPFL HYMEX_LTE_SOP4 11 disdrometer station data
Disdrometer measurements of the EPFL HYMEX_LTE_SOP4 11 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HYMEX_LTE_SOP4/metadata/11.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
EPFL PARADISO_2014 50 disdrometer station data
Disdrometer measurements of the EPFL PARADISO_2014 50 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/PARADISO_2014/metadata/50.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
EPFL EPFL_ROOF_2008 02 disdrometer station data
Disdrometer measurements of the EPFL EPFL_ROOF_2008 02 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_ROOF_2008/metadata/02.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) HYMEX V1
The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) HyMeX data was collected during the HYdrological cycle in Mediterranean EXperiment (HyMeX), which provided data on raindrop size and precipitation drop size distribution. The 2DVD measured the size of raindrops and also recorded two side view optical images of each raindrop. Used for in situ measurements of precipitation drop size distribution, this instrument recorded orthogonal image projections of raindrops as they crossed its sensing area and provided velocity and shape of individual raindrops.The HyMeX 2DVD data were collected in France and Italy from September 12, 2012 to November 12, 2012. The data are in ASCII format.
GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) MC3E V1
The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which provides data on raindrop size and precipitation drop size distribution. The MC3E took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available.
GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) NSSTC V1
The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) NSSTC dataset was collected by the Two-Dimensional Video Disdrometer (2DVD), which uses two high speed line scan cameras which provide continuous measurements of size distribution, shape and fall velocities of all precipitation particles and types. This 2DVD is the third generation 2D video disdrometer designed by Joanneum Research of Graz, Austria. 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 Hunstville, AL. 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.
SPURS-2 shipboard disdrometer data for the E. Tropical Pacific field campaign
The SPURS-2 raindrop ODM-470 disdrometer dataset was collected from the ship during both the 2016 and 2017 cruises. Please see file global attributes and Klepp et al. (2015, 2018) for information on the disdrometer: http://dx.doi.org/10.1016/j.atmosres.2014.12.014, https://doi.org/10.1038/sdata.2018.122 . As explained in the references and global attributes, small drops that cause voltage drops < 0.12 V (i.e. drops with diameters < 0.44 mm) cannot be distinguished from noise by this instrument, and are thus missed. This undercounting of small drops cannot be corrected, and prevents accurate estimation of DSD parameters such as Nw, D0, Dm with any confidence or precision since the minimum detectable drop size is close to the median drop size of tropical oceanic rain (Thompson et al. 2015, https://doi.org/10.1175/JAS-D-14-0206.1). Nonetheless, this dataset provides estimates of drop counts as a function of drop size for the remaining rain drops > 0.44 mm in diameter, and their associated rain rates and liquid water contents. The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans.
GPM Ground Validation Optical Disdrometer (ODM) LPVEx
The GPM Ground Validation Optical Disdrometer (ODM) LPVEx dataset consists of precipitation particle size distribution data collected by the Eigenbrodt Optical Disdrometer (ODM) deployed onboard the RV Aranda research vessel. ODM was specifically designed to measure precipitation on ship-based platforms that experience high and variable winds. ODM’s ability to maintain the optimal orientation with respect to the wind allows it to obtain more accurate precipitation measurements in this type of environment. The ODM data were collected as part of the Light Precipitation Validation Experiment (LPVEx) in September and October of 2010 around the Gulf of Finland. The overarching goals of LPVEx were to detect and understand the process of light rainfall formation at high latitudes and to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The ODM dataset files are available in ASCII text format from September 15 through September 26, 2010.
GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) GCPEX V1
The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) GCPEX dataset was collected by the Two-Dimensional Video Disdrometer (2DVD) data, which was collected during the GPM Cold-season Precipitation Experiment (GCPEx) held in Ontario, Canada. GCPeX occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow.Collected from six sites, the data contains daily ascii files with information on individual snowflakes and hydrometeors, and binary files preprocessed from raw camera data. Overall data dates range from 27 October 2011 through 27 February 2012 depending on the specific site.
GPM Ground Validation Optical Disdrometer (ODM) LPVEx V1
The GPM Ground Validation Optical Disdrometer (ODM) LPVEx dataset consists of precipitation particle size distribution data collected by the Eigenbrodt Optical Disdrometer (ODM) deployed onboard the RV Aranda research vessel. ODM was specifically designed to measure precipitation on ship-based platforms that experience high and variable winds. ODM’s ability to maintain the optimal orientation with respect to the wind allows it to obtain more accurate precipitation measurements in this type of environment. The ODM data were collected as part of the Light Precipitation Validation Experiment (LPVEx) in September and October of 2010 around the Gulf of Finland. The overarching goals of LPVEx were to detect and understand the process of light rainfall formation at high latitudes and to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The ODM dataset files are available in ASCII text format from September 15 through September 26, 2010.
disdrometer data for 2020 summer rainfall in East China
<p>This dataset is used to make figures for the paper entitled “Near Homogeneous Microphysics of the Record-breaking 2020 Summer Monsoon Rainfall in East China” submitted to Geophysical Research Letters in July 2022. It contains the disdrometer datasets for 2020 summer rainfall in Fujian and Jiangsu province, East China.</p>
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