Articles | Volume 12, issue 9
https://doi.org/10.5194/acp-12-4341-2012
© Author(s) 2012. 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-12-4341-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 May 2012
Research article |
| 15 May 2012
Hindcast experiments of tropospheric composition during the summer 2010 fires over western Russia
V. Huijnen
Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
J. Flemming
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
J. W. Kaiser
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
A. Inness
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
J. Leitão
Institute of Environmental Physics, University of Bremen, Bremen, Germany
A. Heil
Forschungszentrum Jülich, Germany
H. J. Eskes
Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
M. G. Schultz
Forschungszentrum Jülich, Germany
A. Benedetti
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
J. Hadji-Lazaro
UPMC Univ. Paris 06; Université Versailles St.-Quentin; CNRS/INSU, LATMOS-IPSL, Paris, France
G. Dufour
Laboratoire Inter-universitaire des Systèmes Atmosphériques (LISA), UMR7583, CNRS/INSU – Universités Paris Est Créteil et Paris Diderot, Créteil, France
M. Eremenko
Laboratoire Inter-universitaire des Systèmes Atmosphériques (LISA), UMR7583, CNRS/INSU – Universités Paris Est Créteil et Paris Diderot, Créteil, France
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42 citations as recorded by crossref.
- SILAM and MACC reanalysis aerosol data used for simulating the aerosol direct radiative effect with the NWP model HARMONIE for summer 2010 wildfire case in Russia V. Toll et al. 10.1016/j.atmosenv.2015.06.007
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- Aerosol optical depth over the Arctic: a comparison of ECHAM-HAM and TM5 with ground-based, satellite and reanalysis data J. von Hardenberg et al. 10.5194/acp-12-6953-2012
- Indirect estimation of absorption properties for fine aerosol particles using AATSR observations: a case study of wildfires in Russia in 2010 E. Rodríguez et al. 10.5194/amt-8-3075-2015
- Reassessment of carbon emissions from fires and a new estimate of net carbon uptake in Russian forests in 2001–2021 A. Romanov et al. 10.1016/j.scitotenv.2022.157322
- Assessment of subseasonal-to-seasonal (S2S) ensemble extreme precipitation forecast skill over Europe P. Rivoire et al. 10.5194/nhess-23-2857-2023
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- The direct radiative effect of wildfire smoke on a severe thunderstorm event in the Baltic Sea region V. Toll & A. Männik 10.1016/j.atmosres.2014.11.018
- Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. 10.5194/acp-15-5325-2015
- The role of semi-volatile organic compounds in the mesoscale evolution of biomass burning aerosol: a modeling case study of the 2010 mega-fire event in Russia I. Konovalov et al. 10.5194/acp-15-13269-2015
- Exceptional emissions of NH<sub>3</sub> and HCOOH in the 2010 Russian wildfires Y. R'Honi et al. 10.5194/acp-13-4171-2013
- Evaluation of version 3.0B of the BEHR OMI NO<sub>2</sub> product J. Laughner et al. 10.5194/amt-12-129-2019
- Effects of aerosols on clear-sky solar radiation in the ALADIN-HIRLAM NWP system E. Gleeson et al. 10.5194/acp-16-5933-2016
- Emission estimates of trace gases (VOCs and NOx) and their reactivity during biomass burning period (2003–2017) over Northeast India K. Bali et al. 10.1007/s10874-020-09413-6
- Analysis of the Impact of the 2019–20 Australian Bushfire Season on the Atmospheric Environment J. Zhang et al. 10.3389/feart.2021.566891
- Hydrological drought explained A. Van Loon 10.1002/wat2.1085
- Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations A. Safronov et al. 10.3390/rs70100395
- Tropospheric chemistry in the Integrated Forecasting System of ECMWF J. Flemming et al. 10.5194/gmd-8-975-2015
- Tracking pollutants from space: Eight years of IASI satellite observation C. Clerbaux et al. 10.1016/j.crte.2015.06.001
- Estimates of reactive trace gases (NMVOCs, CO and NOx) and their ozone forming potentials during forest fire over Southern Himalayan region A. Kumar et al. 10.1016/j.atmosres.2019.04.028
- Fire carbon emissions over maritime southeast Asia in 2015 largest since 1997 V. Huijnen et al. 10.1038/srep26886
- An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 V. Huijnen et al. 10.5194/gmd-13-1513-2020
- OMI tropospheric NO<sub>2</sub> profiles from cloud slicing: constraints on surface emissions, convective transport and lightning NO<sub><i>x</i></sub> M. Belmonte Rivas et al. 10.5194/acp-15-13519-2015
- Validation of reactive gases and aerosols in the MACC global analysis and forecast system H. Eskes et al. 10.5194/gmd-8-3523-2015
- Source attribution of European surface O<sub>3</sub> using a tagged O<sub>3</sub> mechanism A. Lupaşcu & T. Butler 10.5194/acp-19-14535-2019
- The Berkeley High Resolution Tropospheric NO<sub>2</sub> product J. Laughner et al. 10.5194/essd-10-2069-2018
- Fire emission heights in the climate system – Part 2: Impact on transport, black carbon concentrations and radiation A. Veira et al. 10.5194/acp-15-7173-2015
- Wildfires in a warmer climate: Emission fluxes, emission heights, and black carbon concentrations in 2090–2099 A. Veira et al. 10.1002/2015JD024142
- Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
- Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. 10.1080/20964471.2024.2316730
- Satellite based analysis of fire–carbon monoxide relationships from forest and agricultural residue burning (2003–2011) K. Vadrevu et al. 10.1016/j.atmosenv.2012.09.055
- Evaluation of the prediction skill of stock assessment using hindcasting L. Kell et al. 10.1016/j.fishres.2016.05.017
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