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Dataset results
17 results for “GEOS-Chem”
Downscaled Base, Sector and Fuel based PM2.5 from Stretched Grid Simulations using GEOS-Chem High Performance over South Asia.
<p>The <a href="https://zenodo.org/api/files/aed6de20-c761-4560-9cb8-b8f9e4e7b038/Gridded_Base_Sector_Fuel_PM25_South_Asia.mat">Gridded_Base_Sector_Fuel_PM25_South_Asia.mat</a> file that contains LAT_South_Asia, LON_South_Asia, PM25_base, PM25_sectors,PM25_fuels</p> <p>This is the order of the gridded sectors*:</p> <p>PM25_sectors(:,:,1) = AFCID;</p> <p>PM25_sectors(:,:,2) = OPEN_FIRES;</p> <p>PM25_sectors(:,:,3) = INDUSTRY;</p> <p>PM25_sectors(:,:,4) = POWER GENERATION;</p> <p>PM25_sectors(:,:,5) = RESIDENTIAL COMBUSTION;</p> <p>PM25_sectors(:,:,6) = TRANSPORT;</p> <p>PM25_sectors(:,:,7) = WASTE ;</p> <p>PM25_sectors(:,:,8) = AGRICULTURE ;</p> <p>PM25_sectors(:,:,9) = OTHER ;</p> <p>PM25_fuels(:,:,1) = BIOFUEL;</p> <p>PM25_fuels(:,:,2) = REMAINING_SOURCES;</p> <p>PM25_fuels(:,:,3) = COAL;</p> <p>PM25_fuels(:,:,4) = OIL_AND_GAS;</p> <p>PM25_fuels(:,:,5) = DUST_AND_FIRES;</p> <p>* The sectors here have been customized to prioritize particular sectors by adding lesser contributing sectors together. Please contact the author for more information on this. </p> <p>The NetCDFs contain the scaled ratios between CEDS 2019 and 2017 for Emissions for 31 species that were used in the simulations.</p>
GEOS-Chem v9-02 with simple SOA scheme for ATAL simulations & model output
<p>This code/data repository includes (1) GEOS-Chem (v9-02, <a href="http://www.geos-chem.org/">http://www.geos-chem.org/</a>) code modified to use the simple SOA scheme in the simulation of Asian Tropopause Aerosol Layer (ATAL), and (2) model ATAL simulation output. Please see README.txt and this paper for details:</p> <p>Citation: Fairlie, T.D., H. Liu, J.-P. Vernier, P. Campuzano-Jost, J. L. Jimenez, D.S. Jo, B. Zhang, M. Natarajan, M.A. Avery, and G. Huey, Estimates of regional source contributions to the Asian Tropopause Aerosol Layer using a chemical transport model, Journal of Geophysical Research-Atmospheres, in press, Jan. 2020.</p>
Global anthropogenic NOx emissions from 2019 to 2022 based on satellite NO2 observations and GEOS-Chem model
<p><a href="../api/records/10947114/draft/files/emissions.nc/content" target="_blank" rel="noopener noreferrer">emissions.nc</a><a href="10052904"> includes the monthly data of global anthropogenic nox emissions from 2019 to 2022, using the GEOS-Chem model combined with TROPOMI satellite observation data</a></p>
Outputs of NO2 from GEOS-Chem v13.4.0
<p><br>These ncfiles contain ground and total column NO2 data simulated from GEOS-Chem v13.4.0 in China. They are utilized in the preprint "Observational operator for fair model calibration with ground NO2 measurements" (https://doi.org/10.5194/gmd-2023-216) to ensure reproducibility.</p>
GEOS-Chem 2015 Speciated PM2.5 Outputs for "Impact of circular- and single-sector waste-heat reuse pathways on PM2.5-air quality, CO2 emissions, and human health in India; material exchanges more viable to achieve sustainability targets"
<p>Daily PM2.5 and species outputs from GEOS-Chem Modeling over India (0.5° x 0.625°) </p>
GEOS-Chem modeled gas and aerosol concentrations at five sites from FRIEND project (2020-21 winter)
<p>The files contain GEOS-Chem modeled hourly concentrations of gases (NO, NO2, CO, NH3, O3, SO2) and aerosols (NH4+, SO42-, NO3-, OC, BC) at the following sites. Model grid is chosen by the closest distance from the sites and the grid center. </p> <p>Ulaanbaatar, Mongolia ('lon':106.91, 'lat':47.92) </p> <p>Beijing, China ('lon':116.31, 'lat':39.99) </p> <p>Seosan, South Korea ('lon':126.49, 'lat':36.78) </p> <p>Seoul, South Korea ('lon':126.93, 'lat':37.61) </p> <p>Noto, Japan ('lon':137.36, 'lat':37.45) </p> <p>Details can be found from the paper submitted. (will be updated later once accepted)</p> <p> </p>
Replication Data for: CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model
<p>This dataset includes three files necessary for understanding CHEEREIO model output in the demo section of my initial submission to GMD for the paper: <em>CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model.</em> Detailed guides for how to handle these datasets are provided in the <a href="https://cheereio.readthedocs.io/en/latest/Postprocess-workflow.html">CHEEREIO documentation postprocessing page</a>.</p> <ul> <li>control_hemco_diagnostics.nc contains the source-separated prior methane emissions.</li> <li>combined_hemco_diagnostics.nc contains the source-separated and ensemble member separated posterior methane emissions.</li> <li>bigY.pkl contains a Python dictionary which aligns TROPOMI XCH4 with simulated prior and posterior GEOS-Chem XCH4.</li> </ul>
GEOS-Chem simulation: Hg forest fluxes
<p>Publication: A spatial assessment of current and future foliar Hg uptake fluxes across European forests</p> <p>This dataset contains modelled values of forest Hg fluxes to Europe from GEOS-Chem.</p> <p>lon: longitude</p> <p>lat: latitude</p> <p>avg_dep_flux_season: forest Hg flux values (g km<sup>-2</sup> d<sup>-1</sup>) averaged over one growing season per spatial tile</p>
GEOS-Chem nested simulation over the Kīlauea volcanic plume
Open the record for dataset details and reuse information.
Observations of AOD and GEOS-Chem simulation model output dataset
<p>Archive of observations of AOD (MODIS Deep Blue, MAIAC, AERONET) used to evaluate the simulations of using high resolution offline dust emission, upon submission of the following manuscript:</p> <p>Meng, Jun, R. V. Martin, P. Ginoux, M. Hammer, M. P. Sulprizio, D. A. Ridley, and A. van Donkelaar, Grid-independent high resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (version 12.5.0), Geoscientific Model Development, Submitted. </p> <p>This dataset can also be accessed via this FTP ftp://stetson.phys.dal.ca/jmeng/GMD_OfflineDust_data/ </p> <p>The folder "GMD_OfflineDust_data" contains three folders, "AERONET", "MODIS" and "GC_output", representing AERONET AOD, MODIS AOD and model outputs respectively. </p>
Simulation data for WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry–meteorology interactions
<p>This repository provides the test simulation data for "WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry–meteorology interactions" published in Geoscientific Model Development. The configurations for sensitivity experiments are described in this paper. Please contact the corresponding author Tzung-May Fu (fuzm@sustech.edu.cn) for more details.</p>
Determination of the chemical equator from GEOS-Chem model simulation: a focus on the Tropical Western Pacific region
<p>The code used for calculating the Chemical Equator is available at https://github.com/XiaoyuSun-n/Chemical-Equator/branches.</p> <p>CE_Ex.zip: the results of Chemical Equator from 2015-2019. '_Ex' means experiment numbers from 1-6.</p> <p>E1_201x.zip: the simulation results of experiment 1 in the year 201x (from 2015-2019).</p> <p>E2_201x.zip: the simulation results of experiment 2 in the year 201x (from 2015-2019).</p> <p>New for 2020-2022 published available in 2024-10-10 in CE_E1_15-22.zip</p>
An improved carbon greenhouse gas simulation in GEOS-Chem version 12.1.1
<p>The files represent all the modelled data used for the work "An improved carbon greenhouse gas simulation in GEOS-Chem version 12.1.1" by Beata Bukosa, Jenny A. Fisher, Nicholas M. Deutscher and Dylan B. A. Jones, submitted to Geoscientific Model Development (GMD), 2021.</p> <p><br> The files include:</p> <p> </p> <ul> <li>GEOS-Chem v12.1.1 source code with the new coupled simulation implemented</li> <li>The run directories for all the simulations with the specific input files defining all the setup, restart files and ATom input files</li> <li>Specific GEOS-Chem input files that are shown in the paper (i.e., OH used in all simulations)</li> <li>The output fields from all the GEOS-Chem simulations used in the analysis presented in the paper</li> <li>All the codes used for the analysis in the paper and for creating the plots</li> <li>A README file that has detailed information about all the uploaded files and directory structure</li> </ul>
Simulations of 7Be and 10Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates
<p>Data repository for the paper: "Simulations of <sup>7</sup>Be and <sup>10</sup>Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates"</p> <p>Created by Minjie Zheng (minjie.zheng@env.ethz.ch)</p> <p><strong>The files, model_output_LP67.zip, model_output_P16.zip and model_output_P16spa.zip are the model outputs based on the LP67 production rate, P16 production rate and P16spa production rate. </strong></p> <p><strong>GEOS-Chem14.0.2_Be7Be10.zip includes following folders</strong></p> <p><strong>-> "Model_modified" folder</strong><br> - GEOS-Chem 14.0.2: The folder contains a complete code directory of GEOS-Chem v14.0.2. Details for this see the website: https://wiki.seas.harvard.edu/geos-chem/index.php/GEOS-Chem_14.0.2<br> - hcox_gc_RnPbBe_mod_P16.F90: This file replaces HEMCO/Extensions/hcox_gc_RnPbBe_mod.F90 under GEOS-Chem v14.0.2 code directory to read the updated Be7 and Be10 production file. Search 'mzheng' in the file for modifications.</p> <p><strong>-> "ZHENG_BE7BE10" folder includes updated global <sup>7</sup>Be and <sup>10</sup>Be production rates</strong><br> - BE7BE10_P16spa_4x5: Netcdf files for the <sup>7</sup>Be and <sup>10</sup>Be production rates from Poluianov et al., (2016) production model using the solar modulations from Herbst et al., (2017) and geomagnetic cut-off rigidity from Copeland (2018)<br> - BE7BE10_P16_4x5: Netcdf files for the <sup>7</sup>Be and <sup>10</sup>Be production rates from Poluianov et al., (2016) production model using the solar modulations from Herbst et al., (2017) and geomagnetic cut-off rigidity approximated by the Stoermer equation</p> <p> </p> <p> </p>
GEOS-Chem output for "Lightning NOx Emissions: Reconciling measured and modeled emissions estimates with updated NOx chemistry"
Open the record for dataset details and reuse information.
GEOS-Chem organic aerosol mass concentrations output data, Zenodo
<p>GEOS-Chem organic aerosol mass concentrations output data</p>
GEOS-Chem Code v11-01
<p>This is the GEOS-Chem Code used in Silva et al. (Submitted), "Exploring the Constraints on Simulated Aerosol Sources and Transport across the North Atlantic with Island-Based Sun Photometers"</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.