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Knowland KE, Keller CA, Wales PA, Wargan K, Coy L, Johnson MS, Liu J, Lucchesi RA, Eastham SD, Fleming E, Liang Q, Leblanc T, Livesey NJ, Walker KA, Ott LE, Pawson S. NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric Composition. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 2022; 14:e2021MS002852. [PMID: 35864944 PMCID: PMC9287101 DOI: 10.1029/2021ms002852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 03/03/2022] [Accepted: 04/13/2022] [Indexed: 06/15/2023]
Abstract
The NASA Goddard Earth Observing System (GEOS) Composition Forecast (GEOS-CF) provides recent estimates and 5-day forecasts of atmospheric composition to the public in near-real time. To do this, the GEOS Earth system model is coupled with the GEOS-Chem tropospheric-stratospheric unified chemistry extension (UCX) to represent composition from the surface to the top of the GEOS atmosphere (0.01 hPa). The GEOS-CF system is described, including updates made to the GEOS-Chem UCX mechanism within GEOS-CF for improved representation of stratospheric chemistry. Comparisons are made against balloon, lidar, and satellite observations for stratospheric composition, including measurements of ozone (O3) and important nitrogen and chlorine species related to stratospheric O3 recovery. The GEOS-CF nudges the stratospheric O3 toward the GEOS Forward Processing (GEOS FP) assimilated O3 product; as a result the stratospheric O3 in the GEOS-CF historical estimate agrees well with observations. During abnormal dynamical and chemical environments such as the 2020 polar vortexes, the GEOS-CF O3 forecasts are more realistic than GEOS FP O3 forecasts because of the inclusion of the complex GEOS-Chem UCX stratospheric chemistry. Overall, the spatial patterns of the GEOS-CF simulated concentrations of stratospheric composition agree well with satellite observations. However, there are notable biases-such as low NO x and HNO3 in the polar regions and generally low HCl throughout the stratosphere-and future improvements to the chemistry mechanism and emissions are discussed. GEOS-CF is a new tool for the research community and instrument teams observing trace gases in the stratosphere and troposphere, providing near-real-time three-dimensional gridded information on atmospheric composition.
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Affiliation(s)
- K. E. Knowland
- Universities Space Research Association (USRA)/GESTARColumbiaMDUSA
- NASA Goddard Space Flight Center (GSFC)Global Modeling and Assimilation Office (GMAO)GreenbeltMDUSA
- Now Morgan State University (MSU)/GESTAR‐IIBaltimoreMDUSA
| | - C. A. Keller
- Universities Space Research Association (USRA)/GESTARColumbiaMDUSA
- NASA Goddard Space Flight Center (GSFC)Global Modeling and Assimilation Office (GMAO)GreenbeltMDUSA
- Now Morgan State University (MSU)/GESTAR‐IIBaltimoreMDUSA
| | - P. A. Wales
- Universities Space Research Association (USRA)/GESTARColumbiaMDUSA
- NASA Goddard Space Flight Center (GSFC)Global Modeling and Assimilation Office (GMAO)GreenbeltMDUSA
- Now Morgan State University (MSU)/GESTAR‐IIBaltimoreMDUSA
| | - K. Wargan
- NASA Goddard Space Flight Center (GSFC)Global Modeling and Assimilation Office (GMAO)GreenbeltMDUSA
- Science Systems and Applications (SSAI), Inc.LanhamMDUSA
| | - L. Coy
- NASA Goddard Space Flight Center (GSFC)Global Modeling and Assimilation Office (GMAO)GreenbeltMDUSA
- Science Systems and Applications (SSAI), Inc.LanhamMDUSA
| | - M. S. Johnson
- Earth Science DivisionNASA Ames Research CenterMoffett FieldCAUSA
| | - J. Liu
- Universities Space Research Association (USRA)/GESTARColumbiaMDUSA
- Now Morgan State University (MSU)/GESTAR‐IIBaltimoreMDUSA
- Atmospheric Chemistry and Dynamics LaboratoryNASA GSFCGreenbeltMDUSA
| | - R. A. Lucchesi
- NASA Goddard Space Flight Center (GSFC)Global Modeling and Assimilation Office (GMAO)GreenbeltMDUSA
- Science Systems and Applications (SSAI), Inc.LanhamMDUSA
| | - S. D. Eastham
- Laboratory for Aviation and the EnvironmentDepartment of Aeronautics and AstronauticsMassachusetts Institute of TechnologyCambridgeMAUSA
- Joint Program on the Science and Policy of Global ChangeMassachusetts Institute of TechnologyCambridgeMAUSA
| | - E. Fleming
- Science Systems and Applications (SSAI), Inc.LanhamMDUSA
- Atmospheric Chemistry and Dynamics LaboratoryNASA GSFCGreenbeltMDUSA
| | - Q. Liang
- Atmospheric Chemistry and Dynamics LaboratoryNASA GSFCGreenbeltMDUSA
| | - T. Leblanc
- Jet Propulsion LaboratoryCalifornia Institute of TechnologyWrightwoodCAUSA
| | - N. J. Livesey
- Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaCAUSA
| | - K. A. Walker
- Department of PhysicsUniversity of TorontoTorontoONCanada
| | - L. E. Ott
- NASA Goddard Space Flight Center (GSFC)Global Modeling and Assimilation Office (GMAO)GreenbeltMDUSA
| | - S. Pawson
- NASA Goddard Space Flight Center (GSFC)Global Modeling and Assimilation Office (GMAO)GreenbeltMDUSA
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Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China. REMOTE SENSING 2021. [DOI: 10.3390/rs13030404] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Crop residue burning is the major biomass burning activity in China, strongly influencing the regional air quality and climate. As the cultivation pattern in China is rather scattered and intricate, it is a challenge to derive an accurate emission inventory for crop residue burning. In this study, we proposed a remote sensing-based method to estimate nitrogen oxide (NOx) emissions related to crop residue burning at the field level over Hubei, China. The new method considers differences in emission factors and the spatial distribution for different crop types. Fire radiative power (FRP) derived from moderate-resolution imaging spectroradiometer (MODIS) was used to quantify NOx emissions related to agricultural biomass combustion. The spatial distribution of different crops classified by multisource remote sensing data was used as an a priori constraint. We derived a new NOx emission database for Hubei from 2014 to 2016 with spatial resolution of 1 × 1 km. Significant seasonal patterns were observed from the NOx emission database. Peak NOx emission occurring in October was related to the residue burning in late autumn harvesting. Another peak was observed between January and April, which was due to the frequent burning of stubble before spring sowing. Our results were validated by comparing our emission inventory with geostationary satellite observations, previous studies, global fire emission database (GFED), NO2 vertical column densities (VCDs) from ozone monitoring instrument (OMI) satellite observations, and measurements from environmental monitoring stations. The comparisons showed NOx emission from GFED database was 47% lower than ours, while the evaluations from most of the statistical studies were significantly higher than our results. The discrepancies were likely related to the differences of methodology and data sources. The spatiotemporal variations of NOx emission in this study showed strong correlations with NO2 VCDs, which agreed well with geostationary satellite observations. A reasonable correlation between in situ NO2 observations and our results in agricultural regions demonstrated that our method is reliable. We believe that the new NOx emission database for crop residue burning derived in this study can potentially improve the understanding of pollution sources and can provide additional information for the design of pollution control measures.
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Yin H, Sun Y, Liu C, Zhang L, Lu X, Wang W, Shan C, Hu Q, Tian Y, Zhang C, Su W, Zhang H, Palm M, Notholt J, Liu J. FTIR time series of stratospheric NO 2 over Hefei, China, and comparisons with OMI and GEOS-Chem model data. OPTICS EXPRESS 2019; 27:A1225-A1240. [PMID: 31510516 DOI: 10.1364/oe.27.0a1225] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 07/10/2019] [Indexed: 06/10/2023]
Abstract
We present the trend and seasonal variability of stratospheric NO2 column for the first time over the polluted atmosphere at Hefei, China, retrieved using Fourier transform infrared spectroscopy (FTIR) between 2015 and 2018. The FTIR observed stratospheric NO2 columns over Hefei show a peak in June and reach a minimum in January. The mean stratospheric NO2 column concentration in June is (3.49 ± 0.25) × 1015 molecules*cm-2, and is 39.20% ± 8.95% higher than that in January with a mean value of (2.51 ± 0.21) × 1015 molecules*cm-2. We find a negative trend of (-0.34 ± 0.05) %/yr in the FTIR observations of stratospheric NO2 column. The FTIR data are compared to the satellite OMI observations to assess the new data set quality and also applied to evaluate the GEOS-Chem model simulations. We find in general the OMI observations and GEOS-Chem model results are in good agreement with the coincident FTIR data, and they all show similar seasonal cycles with strong correlation coefficients of 0.84-0.86. The annual average OMI minus FTIR difference is (1.48 ± 5.33) × 1014 molecules*cm-2 (4.82% ± 17.37%), and average GEOS-Chem minus FTIR difference is (2.36 ± 2.33) × 1014 molecules*cm -2 (7.66% ± 7.49%). Their maximum differences occur in April and May with mean differences of 12-16%. We also found negative trends in the stratospheric NO2 column over Hefei for 2015-2018 with both OMI observations (-0.91 ± 0.09%/yr) and GEOS-Chem model results (-0.31 ± 0.05%/yr), demonstrating some consistency among them.
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Chan KL, Wiegner M, Wenig M, Pöhler D. Observations of tropospheric aerosols and NO 2 in Hong Kong over 5years using ground based MAX-DOAS. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 619-620:1545-1556. [PMID: 29066192 DOI: 10.1016/j.scitotenv.2017.10.153] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 10/06/2017] [Accepted: 10/15/2017] [Indexed: 05/26/2023]
Abstract
In this paper, we present long term observations of atmospheric aerosols and nitrogen dioxide (NO2) in Hong Kong using a Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) instrument. Ground based MAX-DOAS measurements were performed over 5years from December 2010 to November 2015. Vertical distribution profiles of aerosols and NO2 were derived from MAX-DOAS O4 and NO2 observations by applying the optimal estimation method. Retrieved MAX-DOAS measurements of aerosols and NO2 show good agreement with sun photometer observation of aerosol optical depths (AODs) and long path DOAS measurement of ground level NO2 mixing ratios. Tropospheric vertical column densities (VCDs) of NO2 derived from MAX-DOAS measurements are used to validate OMI satellite NO2 observations. Daily data show reasonably good agreement with each other with Pearson correlation coefficient R=0.7. However, MAX-DOAS NO2 VCDs are on average higher than OMI observations by a factor of 2. Introducing aerosols in the air mass factor calculation would enhance the OMI VCDs by 7-13%, the remaining discrepancy is mainly due to the differences in spatial coverage between the two instruments. Diurnal variation patterns of aerosols and NO2 indicated significant contributions from local anthropogenic emissions. Analysis of air mass transport shows that the enhancement of surface aerosols and NO2 concentrations mainly results from accumulation of local emissions under low wind speed conditions.
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Affiliation(s)
- K L Chan
- Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany.
| | - M Wiegner
- Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
| | - M Wenig
- Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
| | - D Pöhler
- Institute for Environmental Physics, University of Heidelberg, Heidelberg, Germany
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Choi HD, Liu H, Crawford JH, Considine DB, Allen DJ, Duncan BN, Horowitz LW, Rodriguez JM, Strahan SE, Zhang L, Liu X, Damon MR, Steenrod SD. Global O 3-CO Correlations in a Chemistry and Transport Model During July-August: Evaluation with TES Satellite Observations and Sensitivity to Input Meteorological Data and Emissions. ATMOSPHERIC CHEMISTRY AND PHYSICS 2017; 17:8429-8452. [PMID: 32457810 PMCID: PMC7250209 DOI: 10.5194/acp-17-8429-2017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
We examine the capability of the Global Modeling Initiative (GMI) chemistry and transport model to reproduce global mid-tropospheric (618hPa) O3-CO correlations determined by the measurements from Tropospheric Emission Spectrometer (TES) aboard NASA's Aura satellite during boreal summer (July-August). The model is driven by three meteorological data sets (fvGCM with sea surface temperature for 1995, GEOS4-DAS for 2005, and MERRA for 2005), allowing us to examine the sensitivity of model O3-CO correlations to input meteorological data. Model simulations of radionuclide tracers (222Rn, 210Pb, and 7Be) are used to illustrate the differences in transport-related processes among the meteorological data sets. Simulated O3 values are evaluated with climatological ozone profiles from ozonesonde measurements and satellite tropospheric O3 columns. Despite the fact that three simulations show significantly different global and regional distributions of O3 and CO concentrations, all simulations show similar patterns of O3-CO correlations on a global scale. These patterns are consistent with those derived from TES observations, except in the tropical easterly biomass burning outflow regions. Discrepancies in regional O3-CO correlation patterns in the three simulations may be attributed to differences in convective transport, stratospheric influence, and subsidence, among other processes. To understand how various emissions drive global O3-CO correlation patterns, we examine the sensitivity of GMI/MERRA model-calculated O3 and CO concentrations and their correlations to emission types (fossil fuel, biomass burning, biogenic, and lightning NOx emissions). Fossil fuel and biomass burning emissions are mainly responsible for the strong positive O3-CO correlations over continental outflow regions in both hemispheres. Biogenic emissions have a relatively smaller impact on O3-CO correlations than other emissions, but are largely responsible for the negative correlations over the tropical eastern Pacific, reflecting the fact that O3 is consumed and CO generated during the atmospheric oxidation process of isoprene under low NOx conditions. We find that lightning NOx emissions degrade both positive correlations at mid-/high- latitudes and negative correlations in the tropics because ozone production downwind of lightning NOx emissions is not directly related to the emission and transport of CO. Our study concludes that O3-CO correlations may be used effectively to constrain the sources of regional tropospheric O3 in global 3-D models, especially for those regions where convective transport of pollution plays an important role.
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Affiliation(s)
| | - Hongyu Liu
- National Institute of Aerospace, Hampton, VA
| | | | - David B. Considine
- NASA Langley Research Center, Hampton, VA
- Now at NASA Headquarters, Washington, D.C
| | | | | | | | | | - Susan E. Strahan
- NASA Goddard Space Flight Center, Greenbelt, MD
- Universities Space Research Association, Columbia, MD
| | - Lin Zhang
- Harvard University, Cambridge, MA
- Now at Peking University, Beijing, China
| | | | - Megan R. Damon
- NASA Goddard Space Flight Center, Greenbelt, MD
- Science Systems and Applications, Inc., Lanham, MD
| | - Stephen D. Steenrod
- NASA Goddard Space Flight Center, Greenbelt, MD
- Universities Space Research Association, Columbia, MD
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Liu H, Liu C, Xie Z, Li Y, Huang X, Wang S, Xu J, Xie P. A paradox for air pollution controlling in China revealed by "APEC Blue" and "Parade Blue". Sci Rep 2016; 6:34408. [PMID: 27680499 PMCID: PMC5041090 DOI: 10.1038/srep34408] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 09/13/2016] [Indexed: 11/09/2022] Open
Abstract
A series of strict emission control measures were implemented in Beijing and surrounding regions to ensure good air quality during the 2014 Asia-Pacific Economic Cooperation (APEC) summit and 2015 Grand Military Parade (Parade), which led to blue sky days during these two events commonly referred to as "APEC Blue" and "Parade Blue". Here we calculated Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) and Ozone Monitoring Instrument (OMI) NO2 and HCHO results based on well known DOAS trace gas fitting algorithm and WRF-Chem model (with measured climatology parameter and newest emission inventor) simulated trace gases profiles. We found the NO2 columns abruptly decreased both Parade (43%) and APEC (21%) compared with the periods before these two events. The back-trajectory cluster analysis and the potential source contribution function (PSCF) proved regional transport from southern peripheral cities plays a key role in pollutants observed at Beijing. The diminishing transport contribution from southern air mass during Parade manifests the real effect of emission control measures on NO2 pollution. Based on the ratios of HCHO over NO2 we found there were not only limited the NO2 pollutant but also suppress the O3 contaminant during Parade, while O3 increased during the APEC.
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Affiliation(s)
- Haoran Liu
- School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
- Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
| | - Cheng Liu
- School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
- Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
- Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Zhouqing Xie
- School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
- Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
- Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Ying Li
- Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Xin Huang
- Institute for Climate and Global Change Research & School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
- Collaborative Innovation Center of Climate Change, Jiangsu Province, China
| | - Shanshan Wang
- Department of Atmospheric Chemistry and Climate, Institute of Physical Chemistry Rocasolano, CSIC, Madrid, 28006, Spain
| | - Jin Xu
- Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
| | - Pinhua Xie
- Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
- Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
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Karydis VA, Kumar P, Barahona D, Sokolik IN, Nenes A. On the effect of dust particles on global cloud condensation nuclei and cloud droplet number. ACTA ACUST UNITED AC 2011. [DOI: 10.1029/2011jd016283] [Citation(s) in RCA: 120] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Barahona D, Sotiropoulou R, Nenes A. Global distribution of cloud droplet number concentration, autoconversion rate, and aerosol indirect effect under diabatic droplet activation. ACTA ACUST UNITED AC 2011. [DOI: 10.1029/2010jd015274] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Barahona D, Rodriguez J, Nenes A. Sensitivity of the global distribution of cirrus ice crystal concentration to heterogeneous freezing. ACTA ACUST UNITED AC 2010. [DOI: 10.1029/2010jd014273] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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10
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Machenhauer B, Kaas E, Lauritzen PH. Finite-Volume Methods in Meteorology. HANDBOOK OF NUMERICAL ANALYSIS 2009. [DOI: 10.1016/s1570-8659(08)00201-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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Abstract
One expectation when computationally solving an Earth system model is that a correct answer exists, that with adequate physical approximations and numerical methods our solutions will converge to that single answer. With such hubris, we performed a controlled numerical test of the atmospheric transport of CO(2) using 2 models known for accurate transport of trace species. Resulting differences were unexpectedly large, indicating that in some cases, scientific conclusions may err because of lack of knowledge of the numerical errors in tracer transport models. By doubling the resolution, thereby reducing numerical error, both models show some convergence to the same answer. Now, under realistic conditions, we identify a practical approach for finding the correct answer and thus quantifying the advection error.
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Kinnison DE, Brasseur GP, Walters S, Garcia RR, Marsh DR, Sassi F, Harvey VL, Randall CE, Emmons L, Lamarque JF, Hess P, Orlando JJ, Tie XX, Randel W, Pan LL, Gettelman A, Granier C, Diehl T, Niemeier U, Simmons AJ. Sensitivity of chemical tracers to meteorological parameters in the MOZART-3 chemical transport model. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007879] [Citation(s) in RCA: 351] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Shindell DT, Faluvegi G, Stevenson DS, Krol MC, Emmons LK, Lamarque JF, Pétron G, Dentener FJ, Ellingsen K, Schultz MG, Wild O, Amann M, Atherton CS, Bergmann DJ, Bey I, Butler T, Cofala J, Collins WJ, Derwent RG, Doherty RM, Drevet J, Eskes HJ, Fiore AM, Gauss M, Hauglustaine DA, Horowitz LW, Isaksen ISA, Lawrence MG, Montanaro V, Müller JF, Pitari G, Prather MJ, Pyle JA, Rast S, Rodriguez JM, Sanderson MG, Savage NH, Strahan SE, Sudo K, Szopa S, Unger N, van Noije TPC, Zeng G. Multimodel simulations of carbon monoxide: Comparison with observations and projected near-future changes. ACTA ACUST UNITED AC 2006. [DOI: 10.1029/2006jd007100] [Citation(s) in RCA: 228] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Ziemke JR, Chandra S, Duncan BN, Froidevaux L, Bhartia PK, Levelt PF, Waters JW. Tropospheric ozone determined from Aura OMI and MLS: Evaluation of measurements and comparison with the Global Modeling Initiative's Chemical Transport Model. ACTA ACUST UNITED AC 2006. [DOI: 10.1029/2006jd007089] [Citation(s) in RCA: 253] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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15
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Stevenson DS, Dentener FJ, Schultz MG, Ellingsen K, van Noije TPC, Wild O, Zeng G, Amann M, Atherton CS, Bell N, Bergmann DJ, Bey I, Butler T, Cofala J, Collins WJ, Derwent RG, Doherty RM, Drevet J, Eskes HJ, Fiore AM, Gauss M, Hauglustaine DA, Horowitz LW, Isaksen ISA, Krol MC, Lamarque JF, Lawrence MG, Montanaro V, Müller JF, Pitari G, Prather MJ, Pyle JA, Rast S, Rodriguez JM, Sanderson MG, Savage NH, Shindell DT, Strahan SE, Sudo K, Szopa S. Multimodel ensemble simulations of present-day and near-future tropospheric ozone. ACTA ACUST UNITED AC 2006. [DOI: 10.1029/2005jd006338] [Citation(s) in RCA: 632] [Impact Index Per Article: 35.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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16
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Wild O, Prather MJ. Global tropospheric ozone modeling: Quantifying errors due to grid resolution. ACTA ACUST UNITED AC 2006. [DOI: 10.1029/2005jd006605] [Citation(s) in RCA: 118] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Rotman DA, Atherton CS, Bergmann DJ, Cameron-Smith PJ, Chuang CC, Connell PS, Dignon JE, Franz A, Grant KE, Kinnison DE, Molenkamp CR, Proctor DD, Tannahill JR. IMPACT, the LLNL 3-D global atmospheric chemical transport model for the combined troposphere and stratosphere: Model description and analysis of ozone and other trace gases. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2002jd003155] [Citation(s) in RCA: 96] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- D. A. Rotman
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - C. S. Atherton
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - D. J. Bergmann
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - P. J. Cameron-Smith
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - C. C. Chuang
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - P. S. Connell
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - J. E. Dignon
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - A. Franz
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - K. E. Grant
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - D. E. Kinnison
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - C. R. Molenkamp
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - D. D. Proctor
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
| | - J. R. Tannahill
- Atmospheric Science Division; Lawrence Livermore National Laboratory; Livermore California USA
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Strahan SE. Evaluating the credibility of transport processes in simulations of ozone recovery using the Global Modeling Initiative three-dimensional model. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2003jd004238] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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19
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Douglass AR. Radicals and reservoirs in the GMI chemistry and transport model: Comparison to measurements. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2004jd004632] [Citation(s) in RCA: 52] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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20
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Weisenstein DK. Separating chemistry and transport effects in two-dimensional models. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2004jd004744] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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21
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Considine DB. Sensitivity of Global Modeling Initiative model predictions of Antarctic ozone recovery to input meteorological fields. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2003jd004487] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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22
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Kawa SR. Global CO2transport simulations using meteorological data from the NASA data assimilation system. ACTA ACUST UNITED AC 2004. [DOI: 10.1029/2004jd004554] [Citation(s) in RCA: 91] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Steil B, Brühl C, Manzini E, Crutzen PJ, Lelieveld J, Rasch PJ, Roeckner E, Krüger K. A new interactive chemistry-climate model: 1. Present-day climatology and interannual variability of the middle atmosphere using the model and 9 years of HALOE/UARS data. ACTA ACUST UNITED AC 2003. [DOI: 10.1029/2002jd002971] [Citation(s) in RCA: 61] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- B. Steil
- Max Planck Institute for Chemistry; Mainz Germany
| | - C. Brühl
- Max Planck Institute for Chemistry; Mainz Germany
| | - E. Manzini
- Max Planck Institute for Meteorology; Hamburg Germany
| | | | - J. Lelieveld
- Max Planck Institute for Chemistry; Mainz Germany
| | - P. J. Rasch
- National Center for Atmospheric Research; Boulder Colorado USA
| | - E. Roeckner
- Max Planck Institute for Meteorology; Hamburg Germany
| | - K. Krüger
- Free University of Berlin; Berlin Germany
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Kawa SR, Bevilacqua RM, Margitan JJ, Douglass AR, Schoeberl MR, Hoppel KW, Sen B. Interaction between dynamics and chemistry of ozone in the setup phase of the Northern Hemisphere polar vortex. ACTA ACUST UNITED AC 2002. [DOI: 10.1029/2001jd001527] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- S. R. Kawa
- NASA Goddard Space Flight Center; Greenbelt Maryland USA
| | | | - J. J. Margitan
- Jet Propulsion Laboratory; California Institute of Technology; Pasadena California USA
| | - A. R. Douglass
- NASA Goddard Space Flight Center; Greenbelt Maryland USA
| | | | - K. W. Hoppel
- Naval Research Laboratory; Washington, D. C. USA
| | - B. Sen
- Jet Propulsion Laboratory; California Institute of Technology; Pasadena California USA
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Kinnison DE, Connell PS, Rodriguez JM, Rotman DA, Considine DB, Tannahill J, Ramaroson R, Rasch PJ, Douglass AR, Baughcum SL, Coy L, Waugh DW, Kawa SR, Prather MJ. The Global Modeling Initiative assessment model: Application to high-speed civil transport perturbation. ACTA ACUST UNITED AC 2001. [DOI: 10.1029/2000jd900406] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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