Title
Tropical Peatland Hydrology Simulated With a Global Land Surface Model
Date Issued
01 March 2022
Access level
open access
Resource Type
journal article
Author(s)
Apers S.
De Lannoy G.J.M.
Baird A.J.
Cobb A.R.
Dargie G.C.
Gruber A.
Hastie A.
Hidayat H.
Hirano T.
Hoyt A.M.
Jovani-Sancho A.J.
Katimon A.
Kurnain A.
Koster R.D.
Lampela M.
Mahanama S.P.P.
Melling L.
Page S.E.
Reichle R.H.
Taufik M.
Vanderborght J.
Bechtold M.
Publisher(s)
John Wiley and Sons Inc
Abstract
Tropical 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 (PEATCLSMTrop,Nat) and drained (PEATCLSMTrop,Drain) tropical peatlands. Simulations with PEATCLSMTrop,Nat were compared against those with the default CLSM version and the northern version of PEATCLSM (PEATCLSMNorth,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 PEATCLSMTrop,Drain was run to address the large fraction of drained tropical peatlands in this region. PEATCLSMTrop,Drain outperformed CLSM, PEATCLSMNorth,Nat, and PEATCLSMTrop,Nat over drained sites. Despite the overall improvements of PEATCLSMTrop,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.
Volume
14
Issue
3
Language
English
OCDE Knowledge area
Oceanografía, Hidrología, Recursos hídricos
Subjects
Scopus EID
2-s2.0-85127242776
Source
Journal of Advances in Modeling Earth Systems
ISSN of the container
19422466
Source funding
National Aeronautics and Space Administration
Sponsor(s)
This study is supported by the National Natural Science Foundation of China (Project No. 71972167). The authors would like to thank the editor and the reviewers for their constructive comments and valuable suggestions to improve the quality of this article.
This research was funded by KU Leuven and supported by the Research Foundation Flanders (FWO, G095910N, 1224320N, and 1530019N). The computer resources and services used in this work were provided by the High Performance Computing system of the Vlaams Supercomputer Centrum, funded by FWO and the Flemish Government. S. Apers and M. Bechtold want to thank Arndt Piayda for his insightful discussion on bootstrapping. A. R. Cobb acknowledges research support by the National Research Foundation Singapore through the Singapore-MIT Alliance for Research and Technology's Center for Environmental Sensing and Modeling interdisciplinary research program and Grant No. NRF2019-ITC001-001. A. J. Baird, G. C. Dargie, A. J. Jovani-Sancho and S. E. Page acknowledge the research support of the Natural Environment Research Council for the CongoPeat project under grant NE/R016860/1. G. C. Dargie, J. del Aguila Pasquel, and A. Hastie acknowledge the research support of the Natural Environment Research Council under grant NE/R000751/1. J. del Aquila Pasquel acknwoledges research support by Concytec/British Council/Embajada Británica Lima/Newton Fund (Grantref. 220-2018). T. Hirano acknowledges research support by JSPS KAKENHI Grant No. JP19H05666. A. J. Jovani-Sancho and S. E. Page acknowledge research support from the United Kingdom Research and Innovation via the Global Challenges Research Fund and the Biotechnology and Biological Sciences Research Council for funding the SUSTAINPEAT project (Grant No. BB/P023533/1) and the Ministry of Research, Technology, and Higher Education of Indonesia for their support of this project. M. Lampela acknowledges support from the RETROPEAT (253933; 2011-2015) project funded by the Academy of Finland. A. Kurnain acknowledges research support by the European Union on the EUTROP Research Project: Natural Resource Functions, Biodiversity and Sustainable Development of Tropical Peatlands with contract number: ERBIC18CT980260, and the partial support of the 2016 APCE-UNESCO Program. R. H. Reichle was supported by the NASA SMAP mission. The authors thank Joe Melton and one anonymous reviewer for their constructive reviews.
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