Extending the Community Multiscale Air Quality (CMAQ) Modeling System to Hemispheric Scales
Data e Risorse
-
Figure1_tracer_netcdf.zipZIP
Figure1_tracer_netcdf.zip
-
Figure8_LAY1_CONC_netcdf.zipZIP
Figure8_LAY1_CONC_netcdf.zip
-
Figure2_FullLayerHt_ZF_35_44L.txtTEXT
Figure2_FullLayerHt_ZF_35_44L.txt
-
Figure3a_35_44L_zero_NA_TrinidadHead.txtTEXT
Figure3a_35_44L_zero_NA_TrinidadHead.txt
-
Figure3b_35_44L_zero_NA_Boulder.txtTEXT
Figure3b_35_44L_zero_NA_Boulder.txt
-
Figure3c_35_44L_zero_NA_Huntsville.txtTEXT
Figure3c_35_44L_zero_NA_Huntsville.txt
-
Figure3d_35_44L_zero_NA_Narragansett.txtTEXT
Figure3d_35_44L_zero_NA_Narragansett.txt
-
Figure4a_o3sonde_march_mean_hemi_trinidad.txtTEXT
Figure4a_o3sonde_march_mean_hemi_trinidad.txt
-
Figure4b_o3sonde_august_mean_hemi_trinidad.txtTEXT
Figure4b_o3sonde_august_mean_hemi_trinidad.txt
-
Figure5a_428_dc8_model_obs_1s.txtTEXT
Figure5a_428_dc8_model_obs_1s.txt
-
Figure5b_501_dc8_model_obs_1s.txtTEXT
Figure5b_501_dc8_model_obs_1s.txt
-
Figure5c_509_dc8_model_obs_1s.txtTEXT
Figure5c_509_dc8_model_obs_1s.txt
-
Figure5d_512_dc8_model_obs_1s.txtTEXT
Figure5d_512_dc8_model_obs_1s.txt
-
Figure5e_dc8_modobs_mean_bins_417_501.txtTEXT
Figure5e_dc8_modobs_mean_bins_417_501.txt
-
Figure5f_dc8_modobs_mean_bins_501_515.txtTEXT
Figure5f_dc8_modobs_mean_bins_501_515.txt
-
Figure6c_421_c130_model_obs_so4_halogen_func.txtTEXT
Figure6c_421_c130_model_obs_so4_halogen_func.txt
-
Figure7a_dc8_modobs_so4_halogen_func_mean_417_515.txtTEXT
Figure7a_dc8_modobs_so4_halogen_func_mean_417_515.txt
-
Figure7b_C130_modobs_so4_halogen_func_mean_421_515.txtTEXT
Figure7b_C130_modobs_so4_halogen_func_mean_421_515.txt
-
Figure9a_Bias_Diff_SE_states_jul29-aug3.xlsxXLS
Figure9a_Bias_Diff_SE_states_jul29-aug3.xlsx
-
Figure9b_FL_PM25_timeseries_compare.txtTEXT
Figure9b_FL_PM25_timeseries_compare.txt
-
Figure11_CASTNET_PV_STEInfluence_vs_BiasChange_...TEXT
Figure11_CASTNET_PV_STEInfluence_vs_BiasChange_seasonal_O3gt40ppb.txt
-
Figure14_CMAQ_SCIAMACHY_GOME.xlsxXLS
Figure14_CMAQ_SCIAMACHY_GOME.xlsx
-
Figure15a_O3_dm8hr_JJA_avg_trend_obs_hemis_36km.txtTEXT
Figure15a_O3_dm8hr_JJA_avg_trend_obs_hemis_36km.txt
-
Figure15b_SO2_SO4_JJA_trendcompare_CASTNET_hemi...TEXT
Figure15b_SO2_SO4_JJA_trendcompare_CASTNET_hemis_36km.txt
-
Figure16a_EChina_AOD_SWR_JJAmonthly.txtTEXT
Figure16a_EChina_AOD_SWR_JJAmonthly.txt
-
Figure16b_Europe_AOD_SWR_JJAmonthly.txtTEXT
Figure16b_Europe_AOD_SWR_JJAmonthly.txt
-
Figure16c_EUS_AOD_SWR_JJAmonthly.txtTEXT
Figure16c_EUS_AOD_SWR_JJAmonthly.txt
-
Data_Dictionary_HemisphericCMAQ_manuscript.docxDOC
Data_Dictionary_HemisphericCMAQ_manuscript.docx
-
Data_Dictionary_HemisphericCMAQ_manuscript_Final.docxDOC
Data_Dictionary_HemisphericCMAQ_manuscript_Final.docx
| Campo | Valore |
|---|---|
| accessLevel | public |
| bureauCode | {020:00} |
| catalog_conformsTo | https://project-open-data.cio.gov/v1.1/schema |
| describedBy | https://pasteur.epa.gov/uploads/10.23719/1378084/documents/Data_Dictionary_HemisphericCMAQ_manuscript.docx |
| describedByType | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| identifier | https://doi.org/10.23719/1378084 |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2017-01-20 |
| programCode | {020:094} |
| publisher | U.S. EPA Office of Research and Development (ORD) |
| publisher_hierarchy | U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD) |
| references | {https://doi.org/10.5194/acp-17-12449-2017} |
| resource-type | Dataset |
| source_datajson_identifier | true |
| source_hash | e839add73dd24acdee4775008956bbfe89c81b0d |
| source_schema_version | 1.1 |
| Gruppi |
|
| Tag |
|
| isopen | False |
| license_id | other-license-specified |
| license_title | other-license-specified |
| maintainer | Rohit Mathur |
| maintainer_email | mathur.rohit@epa.gov |
| metadata_created | 2025-11-22T06:49:20.218777 |
| metadata_modified | 2025-11-22T06:49:20.218781 |
| notes | Hemispheric scale simulations with CMAQ and the Weather Research and Forecasting model are performed for multiple years. Model capabilities for a range of applications including episodic long-range pollutant transport, long-term trends in air pollution across the Northern Hemisphere, and air pollution-climate interactions are evaluated through detailed comparison with available surface, aloft, and remotely sensed observations. This dataset is associated with the following publication: Mathur, R., J. Xing, R. Gilliam, G. Sarwar, C. Hogrefe, J. Pleim, G. Pouliot, S. Roselle, T. Spero, D. Wong, and J. Young. Extending the Community Multiscale Air Quality (CMAQ) Modeling System to Hemispheric Scales: Overview of Process Considerations and Initial Applications. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 12449-12474, (2017). |
| num_resources | 29 |
| num_tags | 12 |
| title | Extending the Community Multiscale Air Quality (CMAQ) Modeling System to Hemispheric Scales |