Articles | Volume 13, issue 16
https://doi.org/10.5194/acp-13-7961-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-13-7961-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Aug 2013
Research article |
| 19 Aug 2013
WRF-Chem simulations in the Amazon region during wet and dry season transitions: evaluation of methane models and wetland inundation maps
V. Beck
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str.10, 07745 Jena, Germany
C. Gerbig
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str.10, 07745 Jena, Germany
T. Koch
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str.10, 07745 Jena, Germany
M. M. Bela
Center for Earth System Science (CCST), National Institute for Space Research (INPE), São José dos Campos, Brazil
now at: Laboratory for Atmospheric and Space Physics and Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, CO, USA
K. M. Longo
Center for Earth System Science (CCST), National Institute for Space Research (INPE), São José dos Campos, Brazil
S. R. Freitas
Center for Weather Forecasting and Climate Studies, INPE, Cachoeira Paulista, Brazil
J. O. Kaplan
Ecole Polytechnique Fédérale de Lausanne, Switzerland
C. Prigent
Laboratoire d'Etudes du Rayonnement et de la Matière en Astrophysique, Observatoire de Paris, Centre National de la Recherche Scientifique, Paris, France
P. Bergamaschi
European Commission Joint Research Centre, Institute for Environment and Sustainability, Ispra Varese, Italy
M. Heimann
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str.10, 07745 Jena, Germany
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Cited
27 citations as recorded by crossref.
- Gaseous chemistry and aerosol mechanism developments for version 3.5.1 of the online regional model, WRF-Chem S. Archer-Nicholls et al. 10.5194/gmd-7-2557-2014
- Enhancing scientific transparency in national CO2 emissions reports via satellite-based a posteriori estimates M. Watanabe et al. 10.1038/s41598-023-42664-3
- Investigation of the N2O emission strength in the U. S. Corn Belt C. Fu et al. 10.1016/j.atmosres.2017.04.027
- Where to place methane monitoring sites in China to better assist carbon management X. Zhang et al. 10.1038/s41612-023-00359-6
- Quantifying sources of Brazil's CH<sub>4</sub> emissions between 2010 and 2018 from satellite data R. Tunnicliffe et al. 10.5194/acp-20-13041-2020
- Spatiotemporal analysis of global atmospheric XCO2 concentrations before and after COVID-19 using HASM data fusion method Y. Liu et al. 10.3389/fenvs.2022.1079480
- Intense formation of secondary ultrafine particles from Amazonian vegetation fires and their invigoration of deep clouds and precipitation M. Shrivastava et al. 10.1016/j.oneear.2024.05.015
- Analysis of CO<sub>2</sub>, CH<sub>4</sub>, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations S. Callewaert et al. 10.5194/acp-22-7763-2022
- Contributions of mobile, stationary and biogenic sources to air pollution in the Amazon rainforest: a numerical study with the WRF-Chem model S. Abou Rafee et al. 10.5194/acp-17-7977-2017
- Ozone production and transport over the Amazon Basin during the dry-to-wet and wet-to-dry transition seasons M. Bela et al. 10.5194/acp-15-757-2015
- Substantial convection and precipitation enhancements by ultrafineaerosol particles J. Fan et al. 10.1126/science.aan8461
- The CO2 record at the Amazon Tall Tower Observatory: A new opportunity to study processes on seasonal and inter‐annual scales S. Botía et al. 10.1111/gcb.15905
- Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
- Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. 10.1525/elementa.411
- The vertical distribution of biomass burning pollution over tropical South America from aircraft in situ measurements during SAMBBA E. Darbyshire et al. 10.5194/acp-19-5771-2019
- Simulation of the effects of biomass burning in a mesoscale convective system in the central amazon F. D'Oliveira et al. 10.1016/j.atmosres.2022.106345
- WRF modeling of PM2.5 remediation by SALSCS and its clean air flow over Beijing terrain Q. Cao et al. 10.1016/j.scitotenv.2018.01.062
- Diurnal and Seasonal Variation of Area-Fugitive Methane Advective Flux from an Open-Pit Mining Facility in Northern Canada Using WRF M. Nambiar et al. 10.3390/atmos11111227
- Sensitivity of Planetary Boundary Layer Scheme in WRF-Chem Model for Predicting PM10 Concentration (Case study: Jakarta) M. Musthafa et al. 10.1088/1755-1315/303/1/012049
- Tropical and Boreal Forest – Atmosphere Interactions: A Review P. Artaxo et al. 10.16993/tellusb.34
- Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
- Comparison of the HadGEM2 climate-chemistry model against in situ and SCIAMACHY atmospheric methane data G. Hayman et al. 10.5194/acp-14-13257-2014
- Machine Learning to Predict Area Fugitive Emission Fluxes of GHGs from Open-Pit Mines S. Kia et al. 10.3390/atmos13020210
- Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol S. Archer-Nicholls et al. 10.5194/gmd-8-549-2015
- WRF Sensitivity for Seasonal Climate Simulations of Precipitation Fields on the CORDEX South America Domain H. Gomes et al. 10.3390/atmos13010107
- Recommended coupling to global meteorological fields for long-term tracer simulations with WRF-GHG D. Ho et al. 10.5194/gmd-17-7401-2024
- Urban pollution greatly enhances formation of natural aerosols over the Amazon rainforest M. Shrivastava et al. 10.1038/s41467-019-08909-4
27 citations as recorded by crossref.
- Gaseous chemistry and aerosol mechanism developments for version 3.5.1 of the online regional model, WRF-Chem S. Archer-Nicholls et al. 10.5194/gmd-7-2557-2014
- Enhancing scientific transparency in national CO2 emissions reports via satellite-based a posteriori estimates M. Watanabe et al. 10.1038/s41598-023-42664-3
- Investigation of the N2O emission strength in the U. S. Corn Belt C. Fu et al. 10.1016/j.atmosres.2017.04.027
- Where to place methane monitoring sites in China to better assist carbon management X. Zhang et al. 10.1038/s41612-023-00359-6
- Quantifying sources of Brazil's CH<sub>4</sub> emissions between 2010 and 2018 from satellite data R. Tunnicliffe et al. 10.5194/acp-20-13041-2020
- Spatiotemporal analysis of global atmospheric XCO2 concentrations before and after COVID-19 using HASM data fusion method Y. Liu et al. 10.3389/fenvs.2022.1079480
- Intense formation of secondary ultrafine particles from Amazonian vegetation fires and their invigoration of deep clouds and precipitation M. Shrivastava et al. 10.1016/j.oneear.2024.05.015
- Analysis of CO<sub>2</sub>, CH<sub>4</sub>, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations S. Callewaert et al. 10.5194/acp-22-7763-2022
- Contributions of mobile, stationary and biogenic sources to air pollution in the Amazon rainforest: a numerical study with the WRF-Chem model S. Abou Rafee et al. 10.5194/acp-17-7977-2017
- Ozone production and transport over the Amazon Basin during the dry-to-wet and wet-to-dry transition seasons M. Bela et al. 10.5194/acp-15-757-2015
- Substantial convection and precipitation enhancements by ultrafineaerosol particles J. Fan et al. 10.1126/science.aan8461
- The CO2 record at the Amazon Tall Tower Observatory: A new opportunity to study processes on seasonal and inter‐annual scales S. Botía et al. 10.1111/gcb.15905
- Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
- Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. 10.1525/elementa.411
- The vertical distribution of biomass burning pollution over tropical South America from aircraft in situ measurements during SAMBBA E. Darbyshire et al. 10.5194/acp-19-5771-2019
- Simulation of the effects of biomass burning in a mesoscale convective system in the central amazon F. D'Oliveira et al. 10.1016/j.atmosres.2022.106345
- WRF modeling of PM2.5 remediation by SALSCS and its clean air flow over Beijing terrain Q. Cao et al. 10.1016/j.scitotenv.2018.01.062
- Diurnal and Seasonal Variation of Area-Fugitive Methane Advective Flux from an Open-Pit Mining Facility in Northern Canada Using WRF M. Nambiar et al. 10.3390/atmos11111227
- Sensitivity of Planetary Boundary Layer Scheme in WRF-Chem Model for Predicting PM10 Concentration (Case study: Jakarta) M. Musthafa et al. 10.1088/1755-1315/303/1/012049
- Tropical and Boreal Forest – Atmosphere Interactions: A Review P. Artaxo et al. 10.16993/tellusb.34
- Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
- Comparison of the HadGEM2 climate-chemistry model against in situ and SCIAMACHY atmospheric methane data G. Hayman et al. 10.5194/acp-14-13257-2014
- Machine Learning to Predict Area Fugitive Emission Fluxes of GHGs from Open-Pit Mines S. Kia et al. 10.3390/atmos13020210
- Characterising Brazilian biomass burning emissions using WRF-Chem with MOSAIC sectional aerosol S. Archer-Nicholls et al. 10.5194/gmd-8-549-2015
- WRF Sensitivity for Seasonal Climate Simulations of Precipitation Fields on the CORDEX South America Domain H. Gomes et al. 10.3390/atmos13010107
- Recommended coupling to global meteorological fields for long-term tracer simulations with WRF-GHG D. Ho et al. 10.5194/gmd-17-7401-2024
- Urban pollution greatly enhances formation of natural aerosols over the Amazon rainforest M. Shrivastava et al. 10.1038/s41467-019-08909-4
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