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29 results for “radiative transfer model”
Data for the parameterization of radiative transfer processes in urban climate models
<p><em>Radiative Transfer</em> <em>Model</em> (RTM) is a key component in microscale building resolving urban climate models (<em>UCM</em>), which are used to simulate the flow within urban area. We use different parameterizations of RTMs in the model system <a href="https://gmd.copernicus.org/articles/13/1335/2020/gmd-13-1335-2020.html">PALM</a> version 6.0 to show how much detail modellers should include in their simulation.</p> <p>We introduce the output PALM model results for two examples: (1) A simplified urban geometry consisting of an urban crossing (UC) and (2) a realistic urban domain located at the town square Ernst-Reuter-Platz in Charlottenburg in Berlin (ER). The netCDF files contain the radiative flux received by each surface in the domains, including the shortwave (direct and diffuse) radiation as well as the longwave radiation. Also, the data set includes the 3D flow variables (<em>u</em>, <em>v</em>, <em>w</em>) and the potential temperature. The model drivers (input data) for both examples are included as well.</p> <p>The data set consists of the following model input/output data:</p> <p>1) Simplified urban domain (UC):</p> <ul> <li>Input driver for the model PALM for UC (UC_model_driver.tar.gz)</li> <li>Radiation fluxes for UC when using RTM_01: radiation for horizontal surfaces (UC_RTM_01.nc)</li> <li>Radiation fluxes for UC when using RTM_02: sky view effect (building shadows) (UC_RTM_02.nc)</li> <li>Radiation fluxes for UC when using RTM_03: vegetation interaction with SW radiation (UC_RTM_03.nc)</li> <li>Radiation fluxes for UC when using RTM_04: receiving radiation from surface emission (UC_RTM_04.nc)</li> <li>Radiation fluxes for UC when using RTM_05: vegetation interaction with LW radiation (UC_RTM_05.nc)</li> <li>Radiation fluxes for UC when using RTM_06: single reflection (UC_RTM_06.nc)</li> <li>Radiation fluxes for UC when using RTM_07: vegetation interaction with reflected radiation (UC_RTM_07.nc)</li> <li>Radiation fluxes for UC when using RTM_08: multiple reflections (UC_RTM_08.nc)</li> <li>3D data for the UC reference case which includes u,v,w,theta</li> </ul> <p>2) Realistic urban domain (ER):</p> <ul> <li>Input driver for the model PALM for ER (ER_model_driver)</li> <li>Radiation fluxes for ER when using RTM_01: radiation for horizontal surfaces (ER_RTM_01.nc)</li> <li>Radiation fluxes for ER when using RTM_02: sky view effect (building shadows) (ER_RTM_02.nc)</li> <li>Radiation fluxes for ER when using RTM_03: vegetation interaction with SW radiation (ER_RTM_03.nc)</li> <li>Radiation fluxes for ER when using RTM_04: receiving radiation from surface emission (ER_RTM_04.nc)</li> <li>Radiation fluxes for ER when using RTM_05: vegetation interaction with LW radiation (ER_RTM_05.nc)</li> <li>Radiation fluxes for ER when using RTM_06: single reflection (ER_RTM_06.nc)</li> <li>Radiation fluxes for ER when using RTM_07: vegetation interaction with reflected radiation (ER_RTM_07.nc)</li> <li>Radiation fluxes for ER when using RTM_08: multiple reflections (ER_RTM_08.nc)</li> <li>3D data for the ER reference case which includes u,v,w,theta</li> </ul> <p>For more information and analysis, please check out the relevant publication in the international journal Geoscientific Model Development: Salim et. al, Importance of radiative transfer processes in urban climate models:A study based on the PALM model system 6.0, submitted to GMD.</p>
Rapid Radiative Transfer Model Output Evaluating Cryospheric Surface Emissivities
<p>Rapid Radiative Transfer Model (RRTM) (Mlawer, et al.,1997) output use to evaluate three cryospheric surface emissivities spectrally across three atmospheric profiles. README file attached provides information regarding output format. </p>
Community Radiative Transfer Model binary files
The Community Radiative Transfer Model (CRTM) is a JCSDA developed and distributed community model. It is used within the JCSDA JEDI framework, but is also a commonly used stand-alone radiative transfer model used across various federal agencies, research organizations, and universities. CRTM is licensed under the Creative Commons Zero license, and is fully within the public domain, including the dataset to be hosted here. The present dataset is the "binary files" that are used within the CRTM to enable it to compute clear-sky transmittances for various satellite sensors. There will be either 1 "tarball" file (tar.gz) with a total size of approximately 6 GB or less, or a structured directory consisting of 4139 files binary files consisting of big endian, little endian, netCDF3/4, pdf, and assorted binary assets totaling no more than 10GB (uncompressed). There will be occasion to add individual files, but no more than a weekly occurrence in general.
Data for "Development and Evaluation of a New Correlated K-distribution Scheme for BCC_RAD Radiative Transfer Model"
<p>Data and matlab scripts for plotting.</p>
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
Open the record for dataset details and reuse information.
The explosion of 9-29Msun stars as Type II supernovae: Results from radiative-transfer modeling at one year after explosion
<p>Model spectra from <a href="https://ui.adsabs.harvard.edu/abs/2021A%26A...652A..64D">Dessart et al. 2021, A&A, 652, 64</a>.</p>
One-dimensional non-LTE time-dependent radiative transfer of an He-detonation model and the connection to faint and fast-decaying supernovae
<p>Model spectra from <a href="https://ui.adsabs.harvard.edu/abs/2015MNRAS.447.1370D">Dessart & Hillier 2015, MNRAS, 447, 1370</a></p>
Brown dwarf atmosphere intensity grid produced by PICASO radiative transfer code and based on Sonora model atmospheres
<p>Specific intensity in erg s^−1 Hz^−1 sr^−1 cm^−2 on a grid of the cosine of the viewing angle 𝜇 = cos 𝜙, wavelength 𝜆, surface effective temperature, and surface gravitational acceleration that was computed from the Sonora pressure-temperature and abundance profiles, using version 2.3 of the open source code PICASO (Batalha et al. 2019; Batalha et al. 2022), which has previously been used to compute the thermal emission spectra of brown dwarfs (e.g. Mang et al. 2022) and exoplanets (e.g. Robbins-Blanch et al. 2022).</p> <p>This grid served as input to software PARS (Paint the Atmospheres of Rotating Stars; Lipatov and Brandt 2020) in an article that predicts the observational effects of rotation in brown dwarfs (Lipatov, Brandt, and Batalha 2022).</p>
Radiative transfer modeling in structurally-complex stands: towards a better understanding of parametrization: Dataset
<p>This repository is linked to the paper "Radiative transfer modeling in structurally-complex stands: towards a better understanding of parametrization" submitted to Annals of Forest Science and written by Frédéric ANDRÉ (corresponding author), Louis DE WERGIFOSSE, François DE COLIGNY, Nicolas BEUDEZ, Gauthier LIGOT, Vincent GAUTHRAY-GUYÉNET, Benoit COURBAUD and Mathieu JONARD.</p> <p>The repository contains the two following archive files:</p> <ul> <li>RadiationDataset.zip: gather the HETEROFOR model input files containing the measured understorey radiation values, and the position and main characteristics (girth of the trunk at breast height, total height, height of largest crown extension, height of crown base and crown radii in four directions) of the trees in the surrounding of the radiation measurement locations</li> <li>GrowthDataset.zip: gather the following HETEROFOR model input files for each of the six plots considered for growth measurements: <ul> <li>Inventory files at the beginning and at the end of the growth period</li> <li>Thinning file, containing the list of the trees harvested during the study period</li> <li>Fruit litter fall file: fruit litter fall (kgC/ha) measured each year, determined separatly for each of the main species</li> <li>Soil horizon file: containing the main physico-chemical characteristics of the soil horizons</li> <li>Meteorology file: containing hourly records of the main meteorological variables (total radiation, air temperature, soil surface temperature, rainfall depth, air relative humidity, wind speed, wind direction, diffuse/global radiation ratio)</li> </ul> </li> </ul> <p>For more information concerning this repository or the study, please do not hesitate to contact Frédéric ANDRÉ (frederic.andre@uclouvain.be) or Mathieu JONARD (mathieu.jonard@uclouvain.be).</p>
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