Articles | Volume 8, issue 16
https://doi.org/10.5194/acp-8-5033-2008
© Author(s) 2008. 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-8-5033-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
29 Aug 2008
What can 14CO measurements tell us about OH?
M. C. Krol
Netherlands Institute for Space Research (SRON), Utrecht, The Netherlands
Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht, The Netherlands
Wageningen University and Research Centre (WUR), Wageningen, The Netherlands
J. F. Meirink
Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht, The Netherlands
P. Bergamaschi
European Commission Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy
J. E. Mak
Institute for Terrestrial and Planetary Atmospheres, Stony Brook University, NY, USA
D. Lowe
National Institute of Water and Atmospheric Research, Wellington, New Zealand
P. Jöckel
Max Planck Institute for Chemistry, Mainz, Germany
S. Houweling
Netherlands Institute for Space Research (SRON), Utrecht, The Netherlands
Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht, The Netherlands
T. Röckmann
Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht, The Netherlands
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28 citations as recorded by crossref.
- Inverse modeling of European CH<sub>4</sub> emissions: sensitivity to the observational network M. Villani et al. 10.5194/acp-10-1249-2010
- COSMOGENIC14CO FOR ASSESSING THE OH-BASED SELF-CLEANING CAPACITY OF THE TROPOSPHERE C. Brenninkmeijer et al. 10.1017/RDC.2021.101
- Methyl Chloroform Continues to Constrain the Hydroxyl (OH) Variability in the Troposphere P. Patra et al. 10.1029/2020JD033862
- The global chemistry transport model TM5: description and evaluation of the tropospheric chemistry version 3.0 V. Huijnen et al. 10.5194/gmd-3-445-2010
- Mapping hydroxyl variability throughout the global remote troposphere via synthesis of airborne and satellite formaldehyde observations G. Wolfe et al. 10.1073/pnas.1821661116
- Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand L. López-Comí et al. 10.5194/acp-16-14599-2016
- Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. 10.5194/gmd-14-2939-2021
- Inverse modelling of CH<sub>4</sub> emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY M. Alexe et al. 10.5194/acp-15-113-2015
- How much CO was emitted by the 2010 fires around Moscow? M. Krol et al. 10.5194/acp-13-4737-2013
- Nested atmospheric inversion for the terrestrial carbon sources and sinks in China F. Jiang et al. 10.5194/bg-10-5311-2013
- A three-dimensional-model inversion of methyl chloroform to constrain the atmospheric oxidative capacity S. Naus et al. 10.5194/acp-21-4809-2021
- Atmospheric CH4 in the first decade of the 21st century: Inverse modeling analysis using SCIAMACHY satellite retrievals and NOAA surface measurements P. Bergamaschi et al. 10.1002/jgrd.50480
- Observational evidence for interhemispheric hydroxyl-radical parity P. Patra et al. 10.1038/nature13721
- Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: method and comparison with synthesis inversion J. Meirink et al. 10.5194/acp-8-6341-2008
- Ten years of CO emissions as seen from Measurements of Pollution in the Troposphere (MOPITT) A. Fortems-Cheiney et al. 10.1029/2010JD014416
- Combined assimilation of NOAA surface and MIPAS satellite observations to constrain the global budget of carbonyl sulfide J. Ma et al. 10.5194/acp-24-6047-2024
- Inverse modeling of global and regional CH4 emissions using SCIAMACHY satellite retrievals P. Bergamaschi et al. 10.1029/2009JD012287
- Getting a Better Estimate of an Atmospheric Radical I. Isaksen & S. Dalsøren 10.1126/science.1199773
- High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system P. Bergamaschi et al. 10.5194/acp-22-13243-2022
- Small Interannual Variability of Global Atmospheric Hydroxyl S. Montzka et al. 10.1126/science.1197640
- Impacts of global emissions of CO, NO x , and CH4 on China tropospheric hydroxyl free radicals M. Su et al. 10.1007/s00376-012-1229-2
- Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
- Constraints and biases in a tropospheric two-box model of OH S. Naus et al. 10.5194/acp-19-407-2019
- Atmospheric methane evolution the last 40 years S. Dalsøren et al. 10.5194/acp-16-3099-2016
- Inverse modelling of carbonyl sulfide: implementation, evaluation and implications for the global budget J. Ma et al. 10.5194/acp-21-3507-2021
- Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. 10.5194/bg-11-3547-2014
- An improved method for atmospheric <sup>14</sup>CO measurements V. Petrenko et al. 10.5194/amt-14-2055-2021
- ICLASS 1.1, a variational Inverse modelling framework for the Chemistry Land-surface Atmosphere Soil Slab model: description, validation, and application P. Bosman & M. Krol 10.5194/gmd-16-47-2023
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