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248 results for “wrf”
GPM Ground Validation Weather Research and Forecasting (WRF) Images MC3E V1
The GPM Ground Validation Weather Research and Forecasting (WRF) Images MC3E dataset consists of browse only images showing radar reflectivity, radar echo top, convective available potential energy (CAPE), temperature, geopotential height, wind speed, relative humidity, rain water, snow, cloud water, cloud ice, and graupel. These data were simulated by the Weather Research and Forecasting (WRF) for the period of the GPM Ground Validation Mid-latitude Continental Convective Cloud Experiment (MC3E) field campaign. The overarching goal of the MC3E field campaign was to provide the most complete characterization of convective cloud systems, precipitation, and the environment ever obtained and to provide new constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land. Browse imagery files in PNG and GIF formats are available for April 19, 2011 through June 6, 2011.
Weather Research and Forecasting (WRF) North American Mountain Snow Data, Version 1
This data set consists of modeled snow water equivalent (SWE) data for 10 mountain ranges in North America, simulated by the Weather Research and Forecasting (WRF) regional climate model.
ABoVE: Level-4 WRF-STILT Particle Trajectories for Circumpolar Receptors, 2016-2019
This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) particle trajectory files for receptors located at positions along flight paths and at various fixed observing sites at circumpolar locations above 45 degrees North during 2016-2019. The particle files describe the motion of particles released backward in time over a 10-day period. The particle files are separated into archives by platform type (some platforms are combined) and can be characterized as either low resolution or high resolution depending on whether the subsequent footprint fields were generated on a circumpolar 0.5-degree grid (low-resolution) or both 0.5-degree and 0.1-degree grids (high-resolution). The platforms include flux towers at fixed sites, laboratory measurements of whole air samples collected by Programmable Flask Packages (PFP) onboard aircraft, and observations by NASA's Orbiting Carbon Observatory-2 satellite. These particle files were thinned to retain particle location information only when the particles have non-zero contributions to the corresponding footprint field. These particle files are used to compute the footprint fields available in a companion dataset. The particle trajectories that determine the footprint field are constrained only by the outer edges of the WRF modeling domain. Likewise, the companion footprint files are provided on a regular latitude-longitude grid. This dataset extends previous research on the atmospheric transport of land-surface emissions of greenhouse gases by the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) project. In particular, the content of the low-resolution particle files is similar to those for the CARVE dataset.
ACT-America: WRF-Chem Baseline Simulations for North America, 2016-2019
This dataset includes hourly output from the WRF-Chem simulation model for North America at a resolution of 27 km for 2016-06-29 through 2019-07-31. WRF-Chem is the Weather Research and Forecasting (WRF) model coupled with Chemistry. The output provides baseline conditions for comparison to data from ACT-America airborne campaigns conducted to study atmospheric CO2 and CH4 from 2016 to 2019. The WRF-Chem (v. 3.6.1) model was driven by meteorological conditions and sea-surface temperatures. The output includes 50 vertical layers up to atmospheric pressure of 50 hPa with 20 levels in the lowest 1 km. It provides information for understanding the fluxes and atmospheric transport of carbon dioxide (CO2), methane (CH4), and ethane (C2H6).
WRF-STILT Gridded Footprints for Boston, MA, USA, 2013-2014
This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) footprint data products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. The data are gridded footprints on a 1-km grid congruent with the ACES emissions inventory. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio, quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume.
Pre-ABoVE: Particle Trajectories for WRF-STILT Model, Barrow, AK, 1982-2011
This dataset provides Stochastic Time-Inverted Lagrangian Transport model outputs for receptors located at the NOAA Barrow Alaska Observatory for 12 selected years (15 August to 15 October) across the 30-year, 1982 to 2011, study timeframe. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio (ppm --- CO2; ppb --- CH4) per (umol m-2 s-1 --- CO2; nmol m-2 s-1 --- CH4), quantifies the influence of upwind surface fluxes on concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. The simulation results included in this dataset are crucial for understanding changes in Arctic carbon cycling and are part of a retrospective analysis to link changes in atmospheric composition at Arctic receptor sites with shifts in ecosystem structure and function.
CARVE: L4 Gridded Footprints from WRF-STILT model, 2012-2016
This data set provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) Footprint data products for particle receptors located at positions along Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) flight paths (2012 - 2015) and various meteorological stations in Alaska and the Canadian Arctic. Each product consists of multiple NetCDF footprint files packaged as a TAR/GZIP file. These aircraft and station positions were treated as receptors in the WRF-STILT model in order to simulate the land surface influence on observed atmospheric constituents. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.
Verification datasets for publication "Seasonal and diurnal performance of daily forecasts with WRF-NOAHMP over the United Arab Emirates" - UAE weather station data
<p>These are excel files containing measurement data for 2015 in the UAE, used for the submission to GMD journal, "Seasonal and diurnal performance of daily forecasts with WRF-NOAHMP over the United Arab Emirates". All data is courtesy of NCM, UAE.</p> <p>Also included is a station_ids.csv file. </p>
Genoa Flooding | 4 Nov 2011 | WRF, Meso-NH, MOLOCH Ensemble Reforecasts
<p>Genoa Flooding | 4 November 2011</p> <p>Ensemble-based reforecasts using the WRF, Meso-NH and MOLOCH models</p> <p>Variables are described in the control (.ctl) files</p> <p>Starting dates: 2011/11/02 00 UTC, 2011/11/02 12 UTC, 2011/11/03 00 UTC, 2011/11/03 12 UTC</p> <p>Ending date: 2011/11/05 00 UTC</p>
Cinque Terre Flooding | 25 Oct 2011 | WRF, Meso-NH, MOLOCH Ensemble Reforecasts
<p>Cinque Terre Flooding | 25 October 2011</p> <p>Ensemble-based reforecasts using the WRF, Meso-NH and MOLOCH models</p> <p>Variables are described in the control (.ctl) files</p> <p>Starting dates: 2011/10/23 00 UTC, 2011/10/23 12 UTC, 2011/10/24 00 UTC, 2011/10/24 12 UTC</p> <p>Ending date: 2011/10/26 00 UTC</p>
Aggregated WRF-Chem outputs in "Evaluation of cloud and precipitation response to aerosols in WRF-Chem with satellite observations"
<p>This dataset contains the aggregated output of WRF-Chem simulations by Zhoukun Liu. </p> <p>The "MOR" in file name denotes the data from simulation which used Morrison scheme and "LIN" denotes the data from simulation which used Lin scheme.</p> <p>In "MOR_110km_core.nc" and "LIN_110km_core.nc", the variables are averaged over the cloudy pixels that have the highest 10% of cloud optical thickness in each 110km scene.</p> <p>In "MOR_110km_incloud.nc" and "LIN_110km_incloud.nc", the variables are averaged over all the cloudy pixels in each 110km scene.</p> <p>"MOR_110km_R.nc" and "LIN_110km_R.nc" contains the precipitaiton characteristics from models for each 110km scene. </p> <p> </p>
MET tools statistics dataset used for publication "Seasonal and diurnal performance of daily forecasts with WRF-NOAHMP over the United Arab Emirates"
<p>This dataset is the output from MET Model Evaluation Tools comparing WRF output with ground observation stations in the UAE.</p>
DATA for Land Surface Model influence on the simulated climatologies of temperature and precipitation extremes in the WRF v.3.9 model over North America
<p>Code and daily temperature and precipitation outputs used to estimate climate extreme indices in García-García et al. 2020.</p> <p> </p> <p>García-García A., Cuesta-Valero F.J., Beltrami H., González-Rouco J.F., García-Bustamante E., and Finnis J. "Land Surface Model influence on the simulated climatologies of temperature and precipitation extremes in the WRF v.3.9 model over North America" submitted to Geocientific Model Development. 2020. </p>
WRF-HYDRO/(coupled or uncoupled) related files for Heihe River basin (3km, 350pts)
<p>WRF-HYDRO/(coupled or uncoupled) related files for Heihe River basin (3km, 350pts)</p> <p>including results, namelist, TABLEs</p>
Selected data analysed in the JGR Atmosphere manuscript "Noah-MP with the generic crop growth model Gecros in the WRF model: Effects of dynamic crop growth on land-atmosphere interaction"
<p>This depository contains the simulated 3-hr data of 2m-temperature (tas), latent heat flux (hfls), sensible heat flux (hfss), soil moisture (mros) of the top 1 m, convective available potential energy (cape), convection inhibition (cin), leaf area index (lai) for the model domain, which centers Germany. Further it contains the namelist.input of the WRF simulations of the CTRL and EXP_CROP run. The simulations are described in the manuscript "Noah-MP with the generic crop growth model Gecros in the WRF model: Effects of dynamic crop growth on land-atmosphere interaction" by Warrach-Sagi et al., 2022</p>
The code and data for "Deep-Learning Correction Methods for WRF Model Precipitation Forecasting from 2014 Through 2022 in Zhengzhou city, China"
<p>The code and data for “Deep-Learning Correction Methods for WRF Model Precipitation Forecasting from 2014 Through 2022 in Zhengzhou city, China”</p>
GPM Ground Validation Weather Research and Forecasting (WRF) Model LPVEx V1
The GPM Ground Validation Weather Research and Forecasting (WRF) Images LPVEx includes model data simulated by the Weather Research and Forecasting (WRF) model for the GPM 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-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The WRF model provided simulations of the precipitation events that were observed during the campaign. The LPVEx WRF dataset files are available from September 20 through October 20, 2010 in netCDF-3 format.
Weather Research and Forecasting (WRF) Model IMPACTS
The Weather Research and Forecasting (WRF) Model IMPACTS dataset includes model data simulated by the Weather Research and Forecasting (WRF) model for 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 WRF model provided simulations of the precipitation events that were observed during the campaign using initial and boundary conditions from the Global Forecast System (GFS) model and the North American Mesoscale Forecast System (NAM). The WRF IMPACTS dataset files are available from January 12, 2020, through March 4, 2023, in netCDF-3 format.
Localization and Invigoration of Mei-yu Front Rainfall due to Aerosol-Cloud Interactions: A Preliminary Assessment Based on WRF Simulations and IMFRE 2018 Field Observations
<p>datasets from <strong>IMFRE 2018 Field Observations</strong></p>
Weather Research and Forecasting (WRF) Model IMPACTS V1
The Weather Research and Forecasting (WRF) Model IMPACTS dataset includes model data simulated by the Weather Research and Forecasting (WRF) model for 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 (2020-2022). 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 WRF model provided simulations of the precipitation events that were observed during the campaign using initial and boundary conditions from the Global Forecast System (GFS) model and the North American Mesoscale Forecast System (NAM). The WRF IMPACTS dataset files are available from January 12 through March 7, 2020 in netCDF-3 format.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.