Tropical Peatland Hydrology Simulated With a Global Land Surface Model.
Tropical Peatland Hydrology Simulated With a Global Land Surface Model.
复制标题
热带泥炭地水文学模拟了全球陆地表面模型。
DOI：
10.1029/2021ms002784
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发表时间：
2022-03
影响因子：
6.8
通讯作者：
Bechtold, M.
中科院分区：
文献类型：
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作者：
Apers, S.;De Lannoy, G. J. M.;Baird, A. J.;Cobb, A. R.;Dargie, G. C.;Pasquel, J.;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.
热带泥炭地是地球上碳密度最高的生态系统之一，其储水动态强烈控制着这些碳储量。热带泥炭地的水文功能与北部泥炭地不同，全球陆地表面模型（LSM）尚未考虑到这一点。在这里，我们通过利用 NASA 流域地表模型 (CLSM) 的泥炭地特定模型结构适应 (PEATCLSM)，首次将热带泥炭特定水文模块集成到全球 LSM 中。我们为天然 (PEATCLSMTrop,Nat) 和排水 (PEATCLSMTrop,Drain) 热带泥炭地开发了基于文献的参数集。将使用 PEATCLSMTrop,Nat 进行的模拟与默认 CLSM 版本和带有热带植被输入的 PEATCLSM 北方版本 (PEATCLSMNorth,Nat) 进行比较。所有模拟均采用中美洲、南美洲、刚果盆地和东南亚主要热带泥炭地地区的全球气象再分析输入数据。针对原位水位和涡流协方差衍生的蒸散量的独特且广泛的数据集进行的评估表明，与默认的 CLSM 版本相比，偏差和相关性得到了全面改善。在东南亚，使用 PEATCLSMTrop,Drain 进行了额外的模拟，以解决该地区大部分干涸的热带泥炭地的问题。 PEATCLSMTrop,Drain 的性能优于 CLSM、PEATCLSMNorth,Nat 和 PEATCLSMTrop,Nat 排水站点。尽管 PEATCLSMTrop,Nat 相对于 CLSM 总体有所改进，但三个研究区域之间的性能存在很大差异。我们将这些性能差异归因于气象强迫数据准确性的区域差异，以及我们的模型尚未捕获的泥炭地水文响应的差异。全球地表模型首次适应包括自然和排水热带泥炭地水文学。现场数据评估表明，热带自然和排水泥炭地模型版本均优于默认模型版本。区域技能差异归因于模型参数化和跨区域气象强迫数据的准确性差异
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. For the first time, a global land surface model was adapted to include natural and drained tropical peatland hydrology Evaluation with in situ data shows that the tropical natural and drained peatland model versions both outperform the default model version Regional skill differences are attributed to accuracy differences of model parameterization and meteorological forcing data across regions