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103 results for “WRF Simulations”
WRF simulation of atmospheric pressure and temperature around flight 08 of the SOUTHTRAC Campaign
<p>Atmospheric pressure (p) and temperature (T) from numerical model WRF every 15 min and at 0.5 / 3 km vertical / horizontal resolution up to 60 km height are included. The whole time and geographical area of the flight are covered. Zipped netcdf format.</p>
WRF simulation of atmospheric velocity components around flight 08 of the SOUTHTRAC Campaign
<p>The three atmospheric velocity components (zonal u, meridional v, vertical w) from numerical model WRF every 15 min and at 0.5 / 3 km vertical / horizontal resolution up to 60 km height are included. The whole time and geographical area of the flight are covered. Zipped netcdf format.</p>
Input files for WRF simulations Across the the iCMV
<p>The west-east terrain cross-section along ~150km of the northern part of Israel has a coastal-plain—mountain—valley structure; hereafter denoted iCMV. The boundary layer height (BLH) evolution mechanism across the iCMV has not yet been fully understood. We use Weather Research and Forecasting (WRF) simulations and ceilometer measurements to decipher the iCMV BLH evolution mechanism during the late summertime period of 5-14 September 2017, where the daily maximum BLH at the mountainous city of Jerusalem (JrM; 800m above sea-level) varies by ~1000m. We first verify the BLH, simulated by 5 model configurations (with 4 different BL schemes). The RMSE for the 3 best configurations are around 160 and 200m for the coastal and JrM areas, respectively. An analysis of the simulated daily BL evolution reveals a general mechanism. In the early morning, the up-slope flows and synoptic forcing interact to induce a surface flow convergence (SFC) zone. During a westerly (easterly) synoptic flow, the SFC is induced east (west) of JrM. Assisted by the inland propagating sea breeze front, the SFC is advected eastwards during the afternoon, until it collapses at the valley bottom. The SFC zone is accompanied by a <a name="_Hlk110946754"></a>substantial positive vertical-wind column and a locally-elevated BLH. The more western the morning-time SFC is, the more likely the elevated BLH will pass during midday through JrM, with a higher daily maximum BLH. The exact dependence of the BLH evolution and the associated temperature and humidity variations upon the synoptic regime require further study.</p>
Summer mesoscale convective systems in convection-permitting simulation using WRF over East China
<p>Mesoscale convective systems (MCSs) are active in East China during the summer, causing significant precipitation and extreme weather. Increasing MCS frequency and intensity highlight the need for better simulation and forecasting. Traditional global and regional models with coarse resolution unable to explicitly resolve convection fail to represent MCSs and their precipitation accurately. This study conducted a 22-year (2000--2021) JJA simulation at a convection-permitting resolution (4km) using the WRF model (WRF-CPM) over East China. The data generated and the code used to analyze are uploaded here.</p>
WRF Model Output for a Simulation of Hurricane Laura (2020), 2.25km grid, 2020-08-26-00Z through 2020-08-26-10Z
<p>This is WRF model output for a simulation of Hurricane Laura (2020). The tar file contains gzipped netcdf files each with 6 model outputs at 20 minute intervals.</p>
WRF Model Output for a Simulation of Hurricane Laura (2020), 2.25 km grid, 2020-08-26-12Z to 2020-08-26-22Z
<p>This is WRF model output for a simulation of Hurricane Laura (2020). The tar file contains gzipped netcdf files each with 6 model outputs at 20 minute intervals.</p>
Model calibration and streamflow simulations for the extreme drought event of 2018 on the Rhine River Basin using WRF-Hydro 5.2.0
<p>This repository contains the data and software used for the study "Model calibration and streamflow simulations for the extreme drought event of 2018 on the Rhine River Basin using WRF-Hydro 5.2.0." The data and model were used to simulate an extreme low-water event in the River Rhine Basin.</p> <p>This archive contains the following:</p> <p><strong>wrf_hydro_nwm_public-5.2.0.tar.gz</strong>: Model code of the hydrological model WRF-Hydro. (Source: https://ral.ucar.edu/projects/wrf_hydro/model-code)</p> <p><strong>ERA5_Dataset_2016_2018.zip</strong>: ERA5 Reanalysis data and modified for the domain of the project, it includes all the mandatory variables necessary to run the model (Source:https://doi.org/10.24381/cds.bd0915c6)</p> <p><strong>GRDC_HydrologicalData_Rhine_Basin.zip</strong>: Daily stremaflow from gauges in the Rhine River from the Global Runoff Dataset Center (GRDC) (Source: https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser#dataDownload/Stations)</p> <p><strong>RegriddedFormatData.sh: </strong>Bash file to create the the input data for the regridding scripts using the ERA5 data. (Source: Campoverde, A.)</p> <p><strong>ESMFregrid_NLDAS.tar.gz</strong>: Earth System Modeling Framework (ESMF) Regridding Scripts (Source: https://ral.ucar.edu/projects/wrf_hydro/pre-processing-tools#regridding2)</p> <p><strong>wrf_hydro_arcgis_preprocessor-5.2.0.tar.gz</strong>: ArcGIS tools for preparing WRF-Hydro Routing Grids. (Source: https://ral.ucar.edu/projects/wrf_hydro/pre-processing-tools#preprocessing1)</p> <p><strong>eu_dem_3s.zip</strong>: Digital Elevation Model for Europe from HydroSHEDS - 3" (~90m) (Source: https://www.hydrosheds.org/hydrosheds-core-downloads)</p> <p><strong>S2GLC_Europe_2017_v1.2_grey.zip</strong>: Land Cover data used to create spatially distributed hydrological parameters from WRF-Hydro (RETDEPRTFAC, REFKDT, SLOPE) (Source: https://s2glc.cbk.waw.pl/extension)</p> <p><strong>WRF_Hydro_Setup_withLakeScheme.zip</strong>: Necesary files for WRF-Hydro model when considering the Lake Scheme. (Source: Campoverde, A.)</p> <p><strong>WRF_Hydro_Setup_withoutLakeScheme.zip</strong>: Necessary files for the WRF-Hydro model when <strong>not</strong> considering the Lake Scheme. (Source: Campoverde, A.)</p> <p><strong>ERA5_Land_Soil_Moisture_Dataset_2016_2018.zip</strong>: ERA5 Land data for the domain of the project includes the values of soil moisture for the period 2016-2018. (Source:https://doi.org/10.24381/cds.e2161bac)</p> <p>With this repository, we aim to provide to the comminity the necessary tools to replicate the experiments that led to the calibration of WRF-Hydro and the results of our study. </p> <p> </p>
Simulation outputs for WRF-Chem ENA study
<p>This dataset contants the WRF-Chem simulated outputs used in the WRF-Chem ENA study. Two experiments, control and perturbed, are included. </p>
WRF simulations and observations
<div> <p>The attached files are the selected simulations from the THOM, MY2, and NSSL schemes, as well as radar and gauge observations in four rainstorm events in East China. The simulated files are WRF outputs in NC format. The observed files are in mat format and can ben directly read in MATLAB.</p> </div>
Use of WRF-Hydro in postfire debris-flow hazard simulation
<p>This is the dataset used in a study named "Use of WRF-Hydro to Simulate Runoff-Generated Debris Flow Hazards in Burn Scars" by C. Li<sup>1</sup>, A. L. Handwerger<sup>2,3</sup>, J. Wang<sup>4</sup>, W. Yu<sup>5,6</sup>, X. Li<sup>7</sup>, N. J. Finnegan<sup>8</sup>, Y. Xie<sup>9,10</sup>, G. Buscarnera<sup>7</sup>, and D. E. Horton<sup>1</sup></p> <p><sup>1 </sup>Department of Earth and Planetary Sciences, Northwestern University</p> <p><sup>2 </sup>Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, 90095, USA</p> <p><sup>3 </sup>Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA</p> <p><sup>4 </sup>Environmental Science Division, Argonne National Laboratory, Lemont, IL, 60439, USA</p> <p><sup>5 </sup>Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder</p> <p><sup>6 </sup>NOAA/Global Systems Laboratory, 325 Broadway, Boulder, Colorado</p> <p><sup>7 </sup>Department of Civil and Environmental Engineering, Northwestern University</p> <p><sup>8 </sup>University of California Santa Cruz, Department of Earth and Planetary Sciences, Santa Cruz, CA, 95064, USA</p> <p><sup>9</sup> Program in Environmental Sciences, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA</p> <p><sup>10 </sup>Department of Biological Sciences, Purdue University, 915 W State St, West Lafayette, IN 47907, USA</p>
Azimuthally averaged tangential wind and radial wind for 3D WRF tropical cyclone simulations
<p>MAT-file </p> <p>setup number 1 to 9: V20B0.75R75, V20B0.75R100, V20B0.75R125; V20B1.0R75, V20B1.0R100, V20B1.0R125; V30B0.75R75, V30B0.75R100, V30B0.75R125</p> <p>time: hourly output</p> <p>iradius: radial grids, radius=(iradius-1)*2 km</p> <p>Vt(setup, time, iradius): tangential wind calculated from 10-m wind</p> <p>Vr(setup, time, iradius): radial wind calculated from 10-m wind</p> <p>M(setup, time, iradius): absolute angular momentum calculated using M=Vt*r+1/2*f*r^2</p> <p>nt(setup): maximum time step, 1 h interval</p> <p>nr(setup): maximum grid for radius, starting from center (0km) with 2 km interval</p> <p>Vmax(setup, time): maximum 10-m tangential wind</p> <p>RMW(setup, time): radius of maximum 10-m tangential wind</p> <p>MRMW(setup, time): absolute angular momentum at RMW</p> <p>SL(setup, time): M*(r*) slope calculated using best linear fit</p> <p>RIstart(setup): RI onset time</p> <p>RIend(setup): RI end time</p>
data shown in manuscript "WRF-Comfort: Simulating micro-scale variability of outdoor heat stress at the city scale with a mesoscale model"
<blockquote> <p>data shown in manuscript "WRF-Comfort: Simulating micro-scale variability of outdoor heat stress at the city scale with a mesoscale model"</p> </blockquote>
WRF simulation data
<p>We investigated the effect of a (non-)scale-aware convective parameterization scheme on simulations of heavy rainfall events in Korea. This file contains WRF simulation data of 48-hour accumlated precipitation used in this paper. The spatial domain is 4x4 km (D03) and the format is NetCDF. In addition, The hourly precipitation data recorded at the Automated Synoptic Observing Systems (ASOS) of the Korea Meteorological Administration (KMA), which was used to select cases, is contained (2001-2020). </p>
Data from: WRF 1960-2014 winter season simulations of particulate matter in the Sahel: implications for air quality and respiratory health
Open the record for dataset details and reuse information.
Input files for WRF simulations Across the the iCMV
Open the record for dataset details and reuse information.
Input and output files for WRF urban simulations for the metropolitan area of Tel-Aviv
Open the record for dataset details and reuse information.
Part 1 of simulation output for WRF-Chem with enabling ARI and ACI
<p>Part 1 of simulation output for WRF-Chem with enabling aerosol-radiation interactions (ARI) and aerosol-cloud interactions (ACI) in eastern China during 2017.</p>
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).
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>
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>
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