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57 results for “Cloud Microphysics”
GPM GROUND VALIDATION NCAR CLOUD MICROPHYSICS PARTICLE PROBES GCPEX
The GPM Ground Validation NCAR Cloud Microphysics Particle Probes GCPEx data was collected during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada during the winter season of 2011 through 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. The GPM Ground Validation NCAR Cloud Microphysics Particle Probes GCPEx dataset was obtained from three instruments carried aboard the University of North Dakota (UND) Cessna Citation aircraft. These probes, the 2D-C, Cloud Imaging Probe (CIP) and High Volume Precipitation Spectrometer (HVPS-3), collected particle size distributions and particle images which were processed by the National Center for Atmospheric Research (NCAR). Data were collected January 16, 2012 through February 25, 2012. A related cloud microphysics dataset, GPM Ground Validation UND Citation Cloud Microphysics GCPEx is also available.
GPM Ground Validation UND Citation Cloud Microphysics OLYMPEX V1
The GPM Ground Validation UND Citation Cloud Microphysics OLYMPEX dataset includes measurements of cloud microphysics, state of the atmosphere parameters, three-dimensional winds, and turbulence. These measurements were taken during the OLYMPEX campaign by the University of North Dakota’s (UND) Cessna Citation II aircraft over a series of 20 flights totaling roughly 60 flight hours. The UND Citation Cloud Microphysics data are stored as separate files for each flight, with a primary (*.olympex) file containing both direct and derived parameters. Raw data files for each instrument are also archived for investigators who wish to use their own processing software. Data are available from flights that occurred from November 12, 2015 through December 19, 2015 in ASCII, ASCII-csv, and binary formats, while browse images are available in PNG format.
GRIP CLOUD MICROPHYSICS V1
The GRIP Cloud Microphysics dataset was collected during the GRIP campaign from three probes: the Cloud, Aerosol, and Precipitation Spectrometer (CAPS), the Precipitation Imaging Probe (PIP), and the Cloud Droplet Probe (CDP). All are manufactured by Droplet Measurement Technologies in Boulder, CO. The CAPS is a combination of two probes, the Cloud Imaging Probe-Greyscale (CIP-G), and the Cloud and Aerosol Spectrometer (CAS). Images of particles are recorded by the CIP-G and PIP, while the CAS probe measures particle size distribution from 0.55 to 52.5 microns and the CDP measures ice amount. Some ice/liquid water content are derived from the particle size distribution. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. Data was collected 13 Aug 2010 through 25 Sep 2010.
GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS MC3E V1
The GPM Ground Validation UND Citation Cloud Microphysics MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which 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 University of North Dakota (UND) Cessna Citation aircraft, an in-situ platform for the MC3E campaign, carried a suite of instruments for measurements of cloud microphysics, state of the atmosphere parameters, aerosols, three-dimensional winds and turbulence. The Citation flew 15 data missions, which totaled 42.6 flight hours. The data are stored as a separate file for each flight. Raw data files for each cloud instrument are also archived to allow investigators to use their own processing software. Particle size spectra for the imaging probes were processed by NCAR and are archived and distributed as a separate dataset (Particle probes).
GPM GROUND VALIDATION NCAR CLOUD MICROPHYSICS PARTICLE PROBES MC3E
The GPM Ground Validation NCAR Cloud Microphysics Particle Probes MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in central Oklahoma during the April-June 2011 period. 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 parameterization and space-based rainfall retrieval algorithms over land that had never before been available. The GPM Ground Validation NCAR Cloud Microphysics Particle Probes MC3E dataset was obtained from three instruments carried aboard the University of North Dakota (UND) Cessna Citation aircraft. These probes, the 2D-C, Cloud Imaging Probe (CIP) and High Volume Precipitation Spectrometer (HVPS-3), collected particle size distributions and particle images which were processed by the National Center for Atmospheric Research (NCAR). Data were collected April 22, 2011 through June 2, 2011.
Generated datasets for Yue et al. (2020, Earth and Space Science): "Combining In-situ and Satellite Observations to Understand the Vertical Structure of Tropical Anvil Cloud Microphysical Properties During the TC4 Experiment"
<p>This archive contains the data sets generated from the research conducted by Yue et al. (2020) titled "Combining In-situ and Satellite Observations to Understand the Vertical Structure of Tropical Anvil Cloud Microphysical Properties During the TC4 Experiment" published in Earth and Space Science. The method to generated the following data sets is described in Yue et al. (2020) and stored as Matlab .mat files.</p> <p>CombiningTC4_Satellite_eof_cov_mat.mat contains the correlation matrix shown in Figure 1a.</p> <p>TC4_processed.mat contains the correlation matrix shown in Figure 1b.</p> <p>RO_processed.mat contains the correlation matrix shown in Figure 2a.</p> <p>RVOD_processed.mat contains the correlation matrix shown in Figure 2b.</p> <p>ICE_processed.mat contains the correlation matrix shown in Figure 2c.</p> <p> </p> <p> </p>
Random Forest Cloud Model for Predicting Liquid Cloud Microphysical Properties from A-Train Data
<p>Code for creating and analyzing the performance of a random forest model to predict cloud optical depth and cloud top effective radius from A-train satellite observations. Because of storage limitations, this directory does not include full satellite dataset, but the CloudSat data is available from the CloudSat Data Processing center (https://www.cloudsat.cira.colostate.edu/) and the CALIPSO data from NASA's Atmospheric Science Data Center (https://asdc.larc.nasa.gov/project/CALIPSO). </p>
Data set for: Efficient and Stable Coupling of the SuperdropNet Deep Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5)
<p>This dataset provides the experiment results for the publication " Efficient and Stable Coupling of the SuperdropNet Deep<br> Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5) ", to be submitted.</p>
GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS IPHEx V1
The University of North Dakota (UND) Cessna Citation aircraft, an in-situ platform for the IPHEx campaign, carried a suite of instruments for measurements of cloud microphysics, state of the atmosphere parameters, aerosols, three-dimensional winds and turbulence. The data are stored as a separate file for each flight, with a primary (*.iphex_ file containing both direct and derived parameters. Raw data files for each cloud instrument are also archived for investigators who wish to use their own processing software. Citation flight navigation data is also included in this dataset.
CAMEX-4 CLOUD MICROPHYSICS V1
The Cloud Microphysics dataset consists of particle size distributions from three instruments, the 2D-P (two dimensional precipitation probe), the 2D-C (two dimensional cloud probe) and the FSSP (Forward Scattering Spectrometer Probe). These three instruments yield precipitation, hydrometeor and aerosol sizes ranging from 0.3-6400 micrometers. Data is in the form of images and ascii tables.
GPM GROUND VALIDATION NCAR CLOUD MICROPHYSICS PARTICLE PROBES MC3E V1
The GPM Ground Validation NCAR Cloud Microphysics Particle Probes MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in central Oklahoma during the April-June 2011 period. 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 parameterization and space-based rainfall retrieval algorithms over land that had never before been available. The GPM Ground Validation NCAR Cloud Microphysics Particle Probes MC3E dataset was obtained from three instruments carried aboard the University of North Dakota (UND) Cessna Citation aircraft. These probes, the 2D-C, Cloud Imaging Probe (CIP) and High Volume Precipitation Spectrometer (HVPS-3), collected particle size distributions and particle images which were processed by the National Center for Atmospheric Research (NCAR). Data were collected April 22, 2011 through June 2, 2011.
UND Cloud Microphysics IMPACTS V1
The UND Cloud Microphysics IMPACTS dataset consists of cloud particle measurements collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The UND Cloud Microphysics IMPACTS dataset files are stored in ASCII format from January 25, 2020, through February 28, 2023.
GPM GROUND VALIDATION WYOMING KING AIR CLOUD MICROPHYSICS LPVEX V1
The GPM Ground Validation Wyoming King Air Cloud Microphysics LPVEx dataset includes, in addition to aircraft parameters, many scientific parameters, such as static pressure, dew point temperature, relative humidity, mixing ratio, liquid water content, and droplet concentration. These data were collected as part of the Light Precipitation Evaluation Experiment (LPVEx) from September 11, 2010 to October 20, 2010 in the Gulf of Finland. The dataset was collected to aid in achieving the overarching goals of LPVEx, to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms and to detect and understand the process of light rainfall formation at high latitudes. It should be noted that multiple instruments were carried aboard the University of Wyoming King Air (UWKA) including the Cloud Microphysics instrument and the Wyoming Cloud Radar (WCR) instrument. Data files are in netCDF-3 format.
GPM GROUND VALIDATION NCAR CLOUD MICROPHYSICS PARTICLE PROBES GCPEX V1
The GPM Ground Validation NCAR Cloud Microphysics Particle Probes GCPEx data was collected during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada during the winter season of 2011 through 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. The GPM Ground Validation NCAR Cloud Microphysics Particle Probes GCPEx dataset was obtained from three instruments carried aboard the University of North Dakota (UND) Cessna Citation aircraft. These probes, the 2D-C, Cloud Imaging Probe (CIP) and High Volume Precipitation Spectrometer (HVPS-3), collected particle size distributions and particle images which were processed by the National Center for Atmospheric Research (NCAR). Data were collected January 16, 2012 through February 25, 2012. A related cloud microphysics dataset, GPM Ground Validation UND Citation Cloud Microphysics GCPEx is also available.
Data for publication "The impact of mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain"
Open the record for dataset details and reuse information.
Data for the publication 'Using a holographic imager on a tethered balloon system for microphysical observations of boundary layer clouds'
<p>This repository contains the data for the paper: Ramelli, F., Beck, A., Henneberger, J., and Lohmann, U.: Using a holographic imager on a tethered balloon system for microphysical observations of boundary layer clouds, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-210, in review, 2019.</p>
Data for the publication "Developing a Cloud Scheme with Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM-HAM"
<p>This repository contains the data for the paper:</p> <p>"Muench, S., and Lohmann, U.: Developing a Cloud Scheme with Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM-HAM. Journal of Advances in Modeling Earth Systems. In review."</p> <p>Each netCDF-file contains the model data to reproduce the figures in our paper. Figure 1-3 are conceptual schematics so there is not data for these figures.</p>
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