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248 results for “wrf”
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>
Observations for WRF-Chem ENA study
<p>This dataset includes 1) ARM ground-based observations for liquid water path (LWP), cloud fraction (CF), temperature and relative humidity profiles; 2) aircraft measurement for aerosols; 3) processed MeteoSat data (i.e. LWP and CF). </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-Chem model results for 2019-2020 Australian wildfires and Python scripts
<p>WRF-Chem model simulation results in the control experiment and Python scripts</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>
Pre-processed WRF output, interpolated from gridded data to 74 station locations, in the Midwest U.S.
<p>The dataset includes pre-processed WRF simulation data for the historical period of 1980 to 2022 and future projections from 2058 to 2100 under two climate change scenarios: RCP 4.5 and RCP 8.5. The data has been interpolated from gridded data to 74 station locations in the Midwest United States. Each file contains data for a single station and a single month with a 3-hourly time step. This dataset can be used to generate intensity-duration-frequency (IDF) curves using the procedure published at https://doi.org/10.5281/zenodo.13685451.</p>
Code and Data: WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America
<p>Data and code used to obtain results published in Garcia-Garcia et al 2021: WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America. Submited to<em> Geosci. Model Dev</em>.</p>
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>
Williams Flats WRF-Fire Output Contain for FMC
<p>Configuration and output files for a WRF-Fire simulation starting on August 6th for the contain-FMC sensitivity.</p> <p> </p>
FNL data used for producing meteorological ICs/BCs of WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1
<p>The National Center for Environmental Prediction Final Analysis (NCEP-FNL) datasets with a horizontal resolution of 1° × 1° at 6-hour intervals are used for producing meteorological initial and boundary conditions of WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1.</p>
Chemical initial and boundary conditions for WRF-CHIMERE
<p>Chemical initial and boundary conditions for WRF-CHIMERE in eastern China during 2017.</p>
Chemical initial and boundary conditions for WRF-CMAQ
<p>Chemical initial and boundary conditions for WRF-CMAQ in eastern China during 2017.</p>
WRF(v4.0)-SUEWS(2018c): input data for the evaluation at two UK sites
<p>This archive includes input data for the evaluation at two UK sites (KCL and SWD) in the WRF-SUEWS model development paper. </p> <p> </p> <p>WRF-SUEWS code for the situations can be accessed at <a href="https://github.com/Urban-Meteorology-Reading/WRF-SUEWS/releases/tag/paper-WRF4.0-SUEWS2018c">https://github.com/Urban-Meteorology-Reading/WRF-SUEWS/releases/tag/paper-WRF4.0-SUEWS2018c</a></p> <p> </p> <p> </p>
Data for 'Evaluating WRF-GC v2.0 predictions of boundary layer and vertical ozone profiles during the 2021 TRACER-AQ campaign in Houston, Texas'
<p>This repository provides observation datasets, model configuration files, model boundary conditions, model input files, and scripts used in the manuscript titled 'Evaluating WRF-GC v2.0 predictions of boundary layer and vertical ozone profiles during the 2021 TRACER-AQ campaign in Houston, Texas'.</p>
Performance of Lightning Potential Index, Lightning Threat Index, and the product of CAPE and precipitation in the WRF model
<p>This study aims to evaluate the performance of the Weather Research and Forecasting (WRF) model in the prediction of Lightning Potential Index, Lightning Threat Index, and the product of CAPE and precipitation<strong> </strong>over Tehran, Iran.</p>
GNSS PWV data for WRF-enhanced PPP experiment
<p>The GNSS PWV data uploaded are used in WRF-enhanced PPP experiment</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>
Configuration files for WRF and rain-producing storm identification model
<p>This repository hosts necessary configuration files to reproduce the manuscript "Studying Brown Ocean Re-intensification of Hurricane Florence Using CYGNSS and SMAP Soil Moisture Data and a Numerical Weather Model".</p> <p> </p> <p>Model description:</p> <p>WRF v4.4: https://github.com/wrf-model/WRF/tree/release-v4.4</p> <p>MET v10.0: https://github.com/dtcenter/MET/tree/main_v10.0</p> <p><a href="https://zenodo.org/api/files/b5d951b5-7e96-4f0b-a2c4-de3e0616514b/modify_SM.ncl">modify_SM.ncl</a>: NCL tool to multiply initial soil moisture and soil temperature by a factor</p> <p><a href="https://zenodo.org/api/files/b5d951b5-7e96-4f0b-a2c4-de3e0616514b/MTDConfig">MTDConfig</a>: configuration file for MET MTD analysis</p> <p><a href="https://zenodo.org/api/files/b5d951b5-7e96-4f0b-a2c4-de3e0616514b/namelist.input">namelist.input</a>: input configuration for WRF model</p> <p><a href="https://zenodo.org/api/files/b5d951b5-7e96-4f0b-a2c4-de3e0616514b/namelist.wps">namelist.wps</a>: configuration file for WPS preprocessing model</p>
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>
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