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Tropical peatland hydrology simulated with a global land surface model
  • +20
  • Sebastian Apers,
  • Gabrielle J.M. De Lannoy,
  • Andrew James Baird,
  • Alexander R Cobb,
  • Greta Dargie,
  • Jhon del Aguila Pasquel,
  • Alexander Gruber,
  • Adam Hastie,
  • Hidayat Hidayat,
  • Takashi Hirano,
  • Alison May Hoyt,
  • Antonio Jonay Jovani-Sancho,
  • Ayob Katimon,
  • Ahmad Kurnain,
  • Randal D. Koster,
  • Maija Lampela,
  • Sarith P. P. Mahanama,
  • Lulie melling,
  • Susan Elizabeth Page,
  • Rolf H Reichle,
  • Mohammed Taufik,
  • Jan Vanderborght,
  • Michel Bechtold
Sebastian Apers
KU Leuven

Corresponding Author:sebastian.apers@kuleuven.be

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Gabrielle J.M. De Lannoy
KULeuven, Department of Earth and Environmental Sciences
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Andrew James Baird
University of Leeds
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Alexander R Cobb
Singapore-MIT Alliance for Research and Technology
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Greta Dargie
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Jhon del Aguila Pasquel
Instituto de Investigaciones de la Amazonia Peruana
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Alexander Gruber
KU Leuven
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Adam Hastie
University of Edinburgh
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Hidayat Hidayat
Indonesian Institute of Sciences
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Takashi Hirano
Hokkaido University
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Alison May Hoyt
Stanford University
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Antonio Jonay Jovani-Sancho
University of Nottingham
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Ayob Katimon
Universiti Malaysia Perlis
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Ahmad Kurnain
Lambung Mangkurat University
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Randal D. Koster
NASA Goddard SFC
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Maija Lampela
University of Helsinki
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Sarith P. P. Mahanama
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Lulie melling
Sarawak Tropical Peat Research Institute
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Susan Elizabeth Page
University of Leicester,UK
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Rolf H Reichle
NASA Goddard Space Flight Center
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Mohammed Taufik
IPB University
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Jan Vanderborght
Forschungszentrum Juelich
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Michel Bechtold
KU Leuven
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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. The operational CLSM version (which includes peat as a soil class) and PEATCLSMTrop,Nat were forced with global meteorological input data and evaluated over the major tropical peatland regions in Central and South America, the Congo Basin, and Southeast Asia. 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 over all three study regions. 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 both CLSM and PEATCLSMTrop,Nat over drained sites. Despite the overall improvements of both tropical PEATCLSM modules, 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.
Mar 2022Published in Journal of Advances in Modeling Earth Systems volume 14 issue 3. 10.1029/2021MS002784