Emory Dataverse
Not a member yet
6274 research outputs found
Sort by
EQUATES CMAQv5.3.2 CB6r5 High Resolution Deposition Data -- 1/1/2002 - 12/31/2019 300 m CONUS
No full textData SummaryCMAQv5.3 Gridded High Resolution Dry Deposition (300m x 300m) for CB6r5 chemical mechanism from EQUATES simulations from 01/01/2002 - 12/31/2019 over the Continental US.
Note: The datasets are part of the CMAS Center Amazon Web Services (AWS) Open Data Program and are saved in an AWS S3 bucket. The metadata associated with this DOI contain the link to the S3 bucket and instructions for downloading the data.File Location and Download Instructions
Link to 2002 to 2019 Dry Deposition fields at 300m x 300m horizontal grid spacing.
Link to download instructions
This S3 bucket contains gridded annual dry deposition estimates from 2002 to 2019 from the Environmental Protection Agency’s Community Multiscale Air Quality (CMAQ) model version 5.3.2 with the revised Surface Tiled Aerosol and Gaseous Exchange (STAGE) model ( Clifton et al., 2023 ; Appel et al., 2021) created for the EPA’s Air QUAlity TimE Series (EQUATES) project. These deposition fields have been downscaled from the native 12 km resolution to 300 m by mapping STAGE land use specific deposition to Moderate Resolution Imaging Spectrometer (MODIS) 17 category International Geosphere-Biosphere Programme (IGBP) classification scheme. For details on model inputs, please refer to the EPA’s EQUATES project and Benish et al., 2022. Methodology
Annual accumulated CMAQ 300 m resolution data were created with post-scripts dry deposition species for the 12km conterminous US (CONUS) domain. The units of these output variables are kg-N/ha for nitrogen species, kg/ha for ozone, and kg-S/ha for sulfur containing species. Following chemical speciation defined in the Carbon Bond 6 revision 3 (CB6r3) mechanism:
Species name and description (units) of the downscaled deposition fields.
DDEP_ANH4 = Aerosol NH4+ (kg-N/ha)
DDEP_ANO3 = Aerosol NO3- (kg-N/ha)
DDEP_ANORG = Aerosol Organic Nitrogen (kg-N/ha)
DDEP_ASO4 = Aerosol SO42- (kg-S/ha)
DDEP_HNO3 = HNO3 (kg-N/ha)
DDEP_HONO = HNO2 (kg-N/ha)
DDEP_N2O5 = N2O5 (kg-N/ha)
DDEP_NH3 = NH3 (kg-N/ha)
DDEP_NO = NO (kg-N/ha)
DDEP_NTR = Organic Nitrates (kg-N/ha)
DDEP_O3. = O3 (kg/ha)
DDEP_PANT. = Total peroxyacylnitrates (kg-N/ha)
DDEP_PNA = Peroxynitric Acid HNO4 (kg-N/ha)
DDEP_SO2. = SO2 (kg-S/ha)
DD_OXN_NOX = DDEP_NO2 + DDEP_NO (kg-N/ha)
DD_OXN_ORGN = DDEP_NTR + DDEP_PANT + DDEP_ANORG (kg-N/ha)
DD_OXN_TNO3 = DDEP_HNO3 + DDEP_NO3 + DDEP_ANO3 (kg-N/ha)
DD_OXN_TOT = DD_OXN_NOX + DD_OXN_ORGN + DD_OXN_TNO3 + DDEP_N2O5 + DDEP_HONO + DDEP_PNA (kg-N/ha)
DD_REDN_TOT = DDEP_NH3 + DDEP_ANH4 (kg-N/ha)
DD_S_TOT = DDEP_ASO4 + DDEP_SO2 (kg-S/ha)
DD_N_TOT = DD_OXN_TOT + DD_REDN_TOT (kg-S/ha)
The naming convention of the files is as follows:
[Species name]_SUM _[Year]_MCD12Q1_Highres_dep_12US1.tif
Where [Species name] is from the list above and [Year] is the year of the annual CMAQ simulation.
File Description
The data are provided as annual GeoTIFFs for each species and year. The file header contains the projection and grid resolution information. The data are mapped to on a geographic latitude and longitude projection using the WGS84 datum. These files can be viewed and processed with geographic information system (GIS) software or statistical and analysis scientific software, e.g. R or Python.
Caveats Associated with Data
CMAQ continues to be updated and more recent versions of the model contain new capabilities that will affect the predictions of deposition. Similarly, revisions in the emissions used in the model will change deposition estimates. For example, prior to the EQUATES simulation a bug was found in CMAQ that can result anomalously high emissions of NH3under dry soil moisture conditions for the MODIS agricultural mosaic category (https://www.epa.gov/cmaq/equates). Furthermore, recent measurements of soil nitrogen in arid agricultural conditions indicate poor model performance in modeling soil nitrogen pools and emissions (Leytem et al. 2024). This poor performance was related to a soil moisture bug, which was largely isolated to a small number of grid cells in the Southwest and this has been corrected in CMAQ v5.4. Also, measurements are currently planned to better understand the nitrogen dynamics under arid conditions which could result in further refinements to the modeling of soil moisture.</p
Data Management and Sharing Plan for: Roles of the S100A10/annexin A2/tPA and the uPA/uPAR pathways in hyperfibrinolysis and bleeding in acute promyelocytic leukemia
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: Implementing Sustainable mobile health Technology to Optimize smoking cessation Program for Lao people with HIV (I-STOP)
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: UCSF (ATOM)-UNC NEK Kinase Collaboration
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Figure 2
No full textFig. 2 Generation of lipid radicals and oxidized lipids in PDT-exposed Intralipid. (a) Photodynamic generation of lipid radicals in 1 µM BPD solutions containing increasing concentrations of Intralipid under light irradiation. (b) LC-MS analysis of Intralipid showing summed peak areas of unoxidized (Unox) versus oxidized (Ox) lipids, where oxidized lipids contain -OH and -OOH groups. (c) Summed peak areas of the five most abundant oxidized lipid classes present in Intralipid. (d) Volcano plot displaying individual oxTG, oxPC, and oxPE species with absolute log2 fold change > 1 and -log10 p-value < 0.05. (e) Heatmaps of Z-scores for individual oxTG, oxPC, and oxPE species, arranged in order of the increasing carbon chain length (gray arrow) and the total number of double bonds (unsaturation, side bar)
Data Management and Sharing Plan for: Sociocultural factors, DNA methylation and Risk of Diabetes in Hispanics/Latinos
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: Investigating and Manipulating Cells in Low Oxygen Environments Using Lipid Nanoparticles
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: Novel Probes of the Kappa Opioid Receptor: Chemistry, Pharmacology, and Biology
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: Greatwall in replication stress/DNA damage responses and oral cancer resistance
No full textThe Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
