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Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM)

Authors :
M. Nakhavali
P. Friedlingstein
R. Lauerwald
J. Tang
S. Chadburn
M. Camino-Serrano
B. Guenet
A. Harper
D. Walmsley
M. Peichl
B. Gielen
Source :
Geoscientific Model Development, Vol 11, Pp 593-609 (2018)
Publication Year :
2018
Publisher :
Copernicus Publications, 2018.

Abstract

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.

Subjects

Subjects :
Geology
QE1-996.5

Details

Language :
English
ISSN :
1991959X and 19919603
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Geoscientific Model Development
Publication Type :
Academic Journal
Accession number :
edsdoj.5b0700195e7047b4b6324df2cb87c3a8
Document Type :
article
Full Text :
https://doi.org/10.5194/gmd-11-593-2018