Representation of dissolved organic carbon in the JULES land surface model (vn4.4-JULES-DOCM)
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In: Geoscientific Model Development, Vol. 11, No. 2, 12.02.2018, p. 593-609.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Representation of dissolved organic carbon in the JULES land surface model (vn4.4-JULES-DOCM)
AU - Nakhavali, Mahdi
AU - Friedlingstein, Pierre
AU - Lauerwald, Ronny
AU - Tang, Jing
AU - Chadburn, Sarah
AU - Camino-Serrano, Marta
AU - Guenet, Bertrand
AU - Harper, Anna
AU - Walmsley, David
AU - Peichl, Matthias
AU - Gielen, Bert
PY - 2018/2/12
Y1 - 2018/2/12
N2 - Current global models of the carbon (C) cycle consider only vertical gas exchanges between terrestrial or oceanic reservoirs and the atmosphere, thus not considering the lateral transport of carbon from the continents to the oceans. Therefore, those models implicitly consider all of the C which is not respired to the atmosphere to be stored on land and hence overestimate the land C sink capability. A model that represents the whole continuum from atmosphere to land and into the ocean would provide a better understanding of the Earth's C cycle and hence more reliable historical or future projections. A first and critical step in that direction is to include processes representing the production and export of dissolved organic carbon in soils. Here we present an original representation of dissolved organic C (DOC) processes in the Joint UK Land Environment Simulator (JULES-DOCM) that integrates a representation of DOC production in terrestrial ecosystems based on the incomplete decomposition of organic matter, DOC decomposition within the soil column, and DOC export to the river network via leaching. The model performance is evaluated in five specific sites for which observations of soil DOC concentration are available. Results show that the model is able to reproduce the DOC concentration and controlling processes, including leaching to the riverine system, which is fundamental for integrating terrestrial and aquatic ecosystems. Future work should include the fate of exported DOC in the river system as well as DIC and POC export from soil.
AB - Current global models of the carbon (C) cycle consider only vertical gas exchanges between terrestrial or oceanic reservoirs and the atmosphere, thus not considering the lateral transport of carbon from the continents to the oceans. Therefore, those models implicitly consider all of the C which is not respired to the atmosphere to be stored on land and hence overestimate the land C sink capability. A model that represents the whole continuum from atmosphere to land and into the ocean would provide a better understanding of the Earth's C cycle and hence more reliable historical or future projections. A first and critical step in that direction is to include processes representing the production and export of dissolved organic carbon in soils. Here we present an original representation of dissolved organic C (DOC) processes in the Joint UK Land Environment Simulator (JULES-DOCM) that integrates a representation of DOC production in terrestrial ecosystems based on the incomplete decomposition of organic matter, DOC decomposition within the soil column, and DOC export to the river network via leaching. The model performance is evaluated in five specific sites for which observations of soil DOC concentration are available. Results show that the model is able to reproduce the DOC concentration and controlling processes, including leaching to the riverine system, which is fundamental for integrating terrestrial and aquatic ecosystems. Future work should include the fate of exported DOC in the river system as well as DIC and POC export from soil.
KW - Ecosystems Research
UR - http://www.scopus.com/inward/record.url?scp=85041909232&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/4dfecddc-ede7-34b7-9cda-44814b9621f7/
U2 - 10.5194/gmd-11-593-2018
DO - 10.5194/gmd-11-593-2018
M3 - Journal articles
AN - SCOPUS:85041909232
VL - 11
SP - 593
EP - 609
JO - Geoscientific Model Development
JF - Geoscientific Model Development
SN - 1991-959X
IS - 2
ER -