Articles | Volume 20, issue 2
https://doi.org/10.5194/hess-20-605-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-605-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Feb 2016
Research article |
| 03 Feb 2016
The effect of assimilating satellite-derived soil moisture data in SiBCASA on simulated carbon fluxes in Boreal Eurasia
M. K. van der Molen
CORRESPONDING AUTHOR
Meteorology and Air Quality group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, the Netherlands
R. A. M. de Jeu
VU University Amsterdam, Department of Earth Sciences, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands
Transmissivity B. V., Space Technology Centre, Huygensstraat 34, Noordwijk, the Netherlands
W. Wagner
Vienna University of Technology, Department of Geodesy and Geoinformation, Gusshausstrasse 27–29, 1040 Vienna, Austria
I. R. van der Velde
Meteorology and Air Quality group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, the Netherlands
P. Kolari
Department of Physics, University of Helsinki, P.O. Box 48, Erik Palménin aukio 1, 00014 Helsinke, Finland
J. Kurbatova
A. N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Leninsky Prospekt 33, 119071 Moscow, Russia
A. Varlagin
A. N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Leninsky Prospekt 33, 119071 Moscow, Russia
T. C. Maximov
Institute for Biological Problems of the Cryolithozone, 677980, 41 Lenin Ave., Yakutsk, Republic of Sakha (Yakutia), Russia
A. V. Kononov
Institute for Biological Problems of the Cryolithozone, 677980, 41 Lenin Ave., Yakutsk, Republic of Sakha (Yakutia), Russia
T. Ohta
Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan
A. Kotani
Graduate School of Bioagricultural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan
M. C. Krol
Meteorology and Air Quality group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, the Netherlands
W. Peters
Meteorology and Air Quality group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, the Netherlands
Centre for Isotope Research, Energy and Sustainability Research Institute Groningen, Groningen University, Groningen, the Netherlands
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Cited
9 citations as recorded by crossref.
- Using SMOS soil moisture data combining CO2 flask samples to constrain carbon fluxes during 2010–2015 within a Carbon Cycle Data Assimilation System (CCDAS) M. Wu et al. 10.1016/j.rse.2020.111719
- Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale X. Xing et al. 10.3390/rs15030676
- Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS M. Wu et al. 10.3390/rs11010027
- Spring enhancement and summer reduction in carbon uptake during the 2018 drought in northwestern Europe N. Smith et al. 10.1098/rstb.2019.0509
- Changes in surface hydrology, soil moisture and gross primary production in the Amazon during the 2015/2016 El Niño E. van Schaik et al. 10.1098/rstb.2018.0084
- Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
- The CarbonTracker Data Assimilation System for CO<sub>2</sub> and <i>δ</i><sup>13</sup>C (CTDAS-C13 v1.0): retrieving information on land–atmosphere exchange processes I. van der Velde et al. 10.5194/gmd-11-283-2018
- Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations M. Bauwens et al. 10.5194/acp-16-10133-2016
- Grain Yield Observations Constrain Cropland CO2 Fluxes Over Europe M. Combe et al. 10.1002/2017JG003937
9 citations as recorded by crossref.
- Using SMOS soil moisture data combining CO2 flask samples to constrain carbon fluxes during 2010–2015 within a Carbon Cycle Data Assimilation System (CCDAS) M. Wu et al. 10.1016/j.rse.2020.111719
- Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale X. Xing et al. 10.3390/rs15030676
- Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS M. Wu et al. 10.3390/rs11010027
- Spring enhancement and summer reduction in carbon uptake during the 2018 drought in northwestern Europe N. Smith et al. 10.1098/rstb.2019.0509
- Changes in surface hydrology, soil moisture and gross primary production in the Amazon during the 2015/2016 El Niño E. van Schaik et al. 10.1098/rstb.2018.0084
- Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
- The CarbonTracker Data Assimilation System for CO<sub>2</sub> and <i>δ</i><sup>13</sup>C (CTDAS-C13 v1.0): retrieving information on land–atmosphere exchange processes I. van der Velde et al. 10.5194/gmd-11-283-2018
- Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations M. Bauwens et al. 10.5194/acp-16-10133-2016
- Grain Yield Observations Constrain Cropland CO2 Fluxes Over Europe M. Combe et al. 10.1002/2017JG003937
Saved (preprint)
Latest update: 13 Dec 2024
Short summary
Boreal Eurasia contains extensive forests, which play an important role in the terrestrial carbon cycle. Droughts can modify this cycle considerably, although very few ground-based observations are available in the region. We test whether satellite-observed soil moisture may be used to improve carbon cycle models in this region. This paper explains when and where this works best. The interpretation of satellite soil moisture is best in summer conditions, and is hampered by snow, ice and ponding.
Boreal Eurasia contains extensive forests, which play an important role in the terrestrial...
