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Tropical peatland hydrology simulated with a global land surface modelTropical peatlands are among the most carbon-dense ecosystems on Earth, and their water storage dynamics strongly control these carbon stocks. The hydrological functioning of tropical peatlands differs from that of northern peatlands, which has not yet been accounted for in global land surface models (LSMs). Here, we integrated tropical peat-specific hydrology modules into a global LSM for the first time, by utilizing the peatland-specific model structure adaptation (PEATCLSM) of the NASA Catchment Land Surface Model (CLSM). We developed literature-based parameter sets for natural (PEATCLSM(Trop,Nat)) and drained (PEATCLSM(Trop,Drain)) tropical peatlands. Simulations with PEATCLSM(Trop,Nat) were compared against those with the default CLSM version and the northern version of PEATCLSM (PEATCLSM(North,Nat)) with tropical vegetation input. All simulations were forced with global meteorological reanalysis input data for the major tropical peatland regions in Central and South America, the Congo Basin, and Southeast Asia. The evaluation against a unique and extensive data set of in situ water level and eddy covariance-derived evapotranspiration showed an overall improvement in bias and correlation compared to the default CLSM version. Over Southeast Asia, an additional simulation with PEATCLSM(Trop,Drain) was run to address the large fraction of drained tropical peatlands in this region. PEATCLSM(Trop,Drain) outperformed CLSM, PEATCLSM(North,Nat) and PEATCLSM(Trop,Nat) over drained sites. Despite the overall improvements of PEATCLSM(Trop,Nat) over CLSM, there are strong differences in performance between the three study regions. We attribute these performance differences to regional differences in accuracy of meteorological forcing data, and differences in peatland hydrologic response that are not yet captured by our model.
Document ID
20210020732
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
S. Apers ORCID
(KU Leuven Leuven, Belgium)
G. J. M. De Lannoy ORCID
(KU Leuven Leuven, Belgium)
A. J. Baird ORCID
(University of Leeds Leeds, United Kingdom)
A. R. Cobb ORCID
(Singapore-MIT Alliance for Research and Technology Singapore, Singapore)
G. C. Dargie
(University of Leeds Leeds, United Kingdom)
J. Del Aguila Pasquel
(Instituto de Investigaciones de la Amazonía Peruana Iquitos, Peru)
A. Gruber
(KU Leuven Leuven, Belgium)
A. Hastie
(University of Edinburgh Edinburgh, United Kingdom)
H. Hidayat
(Indonesian Institute of Sciences Jakarta, Indonesia)
T. Hirano ORCID
(Hokkaido University Sapporo, Hokkaidô, Japan)
A. M. Hoyt
(Stanford University Stanford, California, United States)
A. J. Jovani-Sancho ORCID
(UK Centre for Ecology & Hydrology Wallingford, United Kingdom)
A. Katimon
(Universiti Malaysia Perlis Kangar, Malaysia)
A. Kurnain
(Lambung Mangkurat University Banjarmasin, Indonesia)
R. D. Koster ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
M. Lampela ORCID
(University of Helsinki Helsinki, Finland)
S. P. P. Mahanama
(Science Systems and Applications (United States) Lanham, Maryland, United States)
L. Melling ORCID
(Sarawak Tropical Peat Research Institute)
S. E. Page ORCID
(University of Leicester Leicester, United Kingdom)
R. H. Reichle ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
M. Taufik
(Bogor Agricultural University Bogor, Indonesia)
J. Vanderborght ORCID
(KU Leuven Leuven, Belgium)
M. Bechtold ORCID
(KU Leuven Leuven, Belgium)
Date Acquired
August 19, 2021
Publication Date
February 4, 2022
Publication Information
Publication: Journal of Advances in Modelling Earth Systems (JAMES)
Publisher: Wiley Open Access / American Geophysical Union
Volume: 14
Issue: 3
Issue Publication Date: March 1, 2022
e-ISSN: 1942-2466
Subject Category
Geosciences (General)
Funding Number(s)
WBS: 437949.02.03.01.79
CONTRACT_GRANT: 80GSFC20C0044
CONTRACT_GRANT: FWO, G095910N, 1224320N, and 1530019N
CONTRACT_GRANT: NRF2019-ITC001-001
CONTRACT_GRANT: NE/R016860/1
CONTRACT_GRANT: NE/R000751/1
CONTRACT_GRANT: JP19H05666
CONTRACT_GRANT: BB/P023533/1
CONTRACT_GRANT: ERBIC18CT980260
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
Peatland
Land Surface Model
Hydrology
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