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248 results for “wrf”
Model America - WRF Grid Cell Archetype extract from ORNL's AutoBEM
<p>Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (<a href="https://bit.ly/AutoBEM">bit.ly/AutoBEM</a>).</p> <p><strong>Critical note: Building multipliers and models will be updated soon.</strong></p> <p>Two sets of data are provided for 298,084 building <strong>archetypes</strong> located within the boundary of WRF (Weather Research and Forecasting) model in and around Los Angeles (United States):</p> <ol> <li><strong>Data (46.4MB *.csv) - minimalist list of each building (rows) for the following fields (columns)</strong> <ol> <li>ID - unique building ID</li> <li>Area - estimate of total conditioned floor area (ft<sup>2</sup>)</li> <li>CZ - ASHRAE Climate Zone designation</li> <li>Height - building height (ft)</li> <li>NumFloors - number of floors (above-grade)</li> <li>BuildingType - DOE prototype building designation (IECC=residential) as implemented by OpenStudio-standards</li> <li>Standard - building vintage</li> <li>WWR_surfaces - percent of each facade (pair of points from Footprint2D) covered by fenestration/windows (average 14.5% for residential, 40% for commercial buildings)</li> <li>Area2D - footprint area (ft<sup>2</sup>)</li> <li>Num_build_per_zone - Number of this building type/vintage in WRF zone</li> <li>Total_zone_area - Total area of this building type/vintage in WRF zone (ft<sup>2</sup>)</li> <li>Area_multiplier - Scaling factor for building type/vintage for building in WRF zone</li> <li>Vintage - Generalized "Standard"</li> <li>BuildingType_general - Generalized "BuildingType"</li> <li>Zone_ID - ID of WRF zone</li> </ol> </li> <li><strong>Models (6.3GB *.zip) - EnergyPlus building energy models named according to ID</strong> <ul> <li>Each model has approximately 3,000 building input descriptors that can be extracted. Please see the EnergyPlus (v9.4) 2,784-page <a href="https://energyplus.net/sites/all/modules/custom/nrel_custom/pdfs/pdfs_v9.4.0/InputOutputReference.pdf">Input/Output Reference Guide </a>for everything that can be retrieved or simulated from these models.</li> </ul> </li> </ol> <p> </p>
WRF-Chem configurations and input data sets for sensitivity tests of emission inventories
<p>WRF-Chem and WPS v4.4 source codes and their configurations with namelist files.</p> <p>Emission inventory data sets (EDGAR-HTAP v2 and v3) for 'anthro_emis' input are included.</p> <p>The KORUS v5 emission data are provided with 'wrfchemi' format.</p> <p>The 'namelist.input' contains physics and chemistry options that are used for WRF-Chem model.</p> <p>The model grid information is available in 'namelist.wps'.</p> <p> </p> <p>Kim, K.-M., Kim, S.-W., Seo, S., Blake, D. R., Cho, S., Crawford, J. H., Emmons, L., Fried, A., Herman, J. R., Hong, J., Jung, J., Pfister, G., Weinheimer, A. J., Woo, J.-H., and Zhang, Q.: Sensitivity of the WRF-Chem v4.4 ozone, formaldehyde, and precursor simulations to multiple bottom-up emission inventories over East Asia during the KORUS-AQ 2016 field campaign, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2023-132, in review, 2023.</p>
WRF-Chem Volcano output - Etna Christmas 2018 (run L0)
<p>Output from a model run of a modified version of WRF-Chem, which we refer to as WRF-Chem Volcano (WCV). At the time of submission of this dataset, these data were the basis of the modelling part of a paper submitted to Atmospheric Chemistry and Physics Discussions (ACPD): "WRF-Chem modelling and TROPOMI observations of halogen chemistry within the plume of Etna's Christmas 2018 eruption".</p> <p>The code of WCV is maintained <a href="https://github.com/LukeSurl/WCV">here</a>. Development of this code will continue after the submission of this repository, <a href="https://github.com/LukeSurl/WCV/tree/20200521">This branch</a> is a permanent record of the code as used to create this dataset.<br> This is a simulation without any volcanic emissions, used to determine the difference caused by the volcano</p> <p>"Run L0" refers the internal serial number assigned to this model run.</p> <p><strong>Overview of files</strong></p> <p><strong><em>Output files: wrfout_d0*_YYYY-MM-DD_HH:MM:SS</em></strong></p> <p>Output data is contained in NetCDF files. Each file contains hourly snapshots of the 3D simulation with fields for various parameters. Most of the 4D (three spatial dimensions and time) variables record modelled mixing ratios of various species (in units ppm). Many other variables are standard WRF-Chem output variables; please see <a href="https://ruc.noaa.gov/wrf/wrf-chem/">WRF-Chem's documentation</a>. If the meaning of a variable is unclear, please <a href="mailto:luke.surl@latmos.ipsl.fr?subject=WCV%20run%20L2%20dataset">contact the author</a>.</p> <p>Files are separated by model domain and by time. The "d0x" value specifies the model domain. Domain 1 is the full extent of the modelled area and has grid cells of 30 km × 30 km. Domains 2, 3, 4 each model a successively smaller area subset at a 3x greater resolution than their parent domain. Please see the ACPD paper for further details on this.</p>
Diurnal Energy Fluxes simulated by coupled WRF-Hydro in Heihe basin
<p>WRF and WRF-Hydro simulated results for Heihe River basin. Data contains simulated diurnal energy fluxes related to the published Journal paper: <a href="https://doi.org/10.1002/hyp.14454">https://doi.org/10.1002/hyp.14454</a> </p>
High-resolution (5 km) RCM data for Central Europe, 1980-2009 and 2020-2049, WRF 3.6.1 forced by ERA-Interim and MPI-ESM, RCP4.5
<p>High-resolution (5km) WRF output fields of temperature, precipitation, relative humidity, wind speed, and short-wave radiation for Central Europe, 1980-2009 and 2020-2049, WRF 3.6.1 forced by ERA-Interim and MPI-ESM, RCP4.5.</p> <ul> <li>WRF_ERAI_*.nc: reanalysis data (WRF driven by ERA-Interim)</li> <li>WRF_MPI-ESM_*.nc: control and scenario data (WRF driven by MPI-ESM, RCP4.5)</li> <li>WRF_*_HGT.nc: elevation data for the three model domains</li> </ul>
COAWST and WRF-only simulated tracks and SST for TCs making landfall in South China
<p>This dataset is associated with the following papers:</p> <ul> <li>Lok et al. (2021): Importance of Air-Sea Coupling in Simulating Tropical Cyclone Intensity at Landfall,<em> accepted by Advances in Atmospheric Sciences</em></li> <li>Lok and Chan (2018): Simulating seasonal tropical cyclone intensities at landfall along the South China coast,<br> <em>Climate Dynamics</em>, <strong>50(1-2)</strong>: 2661–2672</li> </ul> <p>Details of the files available in this dataset:</p> <ul> <li>sst_cfsr-wrf.zip - Sea surface temperature from CFSR as seen by WRF in Lok and Chan (2018)</li> <li>sst_cwst.zip - Sea surface temperature simulated by COAWST in Lok et al. (2021)</li> <li>tc_track_wrf.zip - Simulated tropical cyclone tracks of Lok and Chan (2018)</li> <li>tc_track_cwst.zip - Simulated tropical cyclone tracks of Lok et al. (2021)</li> </ul>
A dataset simulated by WRF-CM-BEM
<p>A dataset simulated by a regional climate model coupled with an urban canopy model and building energy model (WRF–CM–BEM). The study area was the Tokyo Metropolitan Area, Japan and the simulation period was summertime in 2017 (from 00UTC 25 June to 00UTC 01 September). This dataset includes model output (electricity consumption (EC) and near-surface air temperature) and model grid information (e.g., longitude, latitude, and land-use index) as netCDF files. There are two files: an improvement case (CASEnew.nc) and another case without improvements (CASEold.nc).</p>
A three-dimensional variational data assimilation system for aerosol optical properties based on WRF-Chem: design, development, and application of assimilating Himawari-8 aerosol observations
<p>Source code and input data for gmd paper (gmd-2021-215-manuscript)</p>
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