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泥炭地-激光共聚焦扫描显微镜:美国国家航空航天局流域陆面模型中泥炭地水文的一种特定处理方法。

PEAT-CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model.

作者信息

Bechtold M, De Lannoy G J M, Koster R D, Reichle R H, Mahanama S P, Bleuten W, Bourgault M A, Brümmer C, Burdun I, Desai A R, Devito K, Grünwald T, Grygoruk M, Humphreys E R, Klatt J, Kurbatova J, Lohila A, Munir T M, Nilsson M B, Price J S, Röhl M, Schneider A, Tiemeyer B

机构信息

Department of Earth and Environmental Sciences, KU Leuven, Heverlee, Belgium.

Department of Computer Science, KU Leuven, Heverlee, Belgium.

出版信息

J Adv Model Earth Syst. 2019 Jul;11(7):2130-2162. doi: 10.1029/2018MS001574. Epub 2019 May 7.

Abstract

Peatlands are poorly represented in global Earth system modeling frameworks. Here we add a peatland-specific land surface hydrology module (PEAT-CLSM) to the Catchment Land Surface Model (CLSM) of the NASA Goddard Earth Observing System (GEOS) framework. The amended TOPMODEL approach of the original CLSM that uses topography characteristics to model catchment processes is discarded, and a peatland-specific model concept is realized in its place. To facilitate its utilization in operational GEOS efforts, PEAT-CLSM uses the basic structure of CLSM and the same global input data. Parameters used in PEAT-CLSM are based on literature data. A suite of CLSM and PEAT-CLSM simulations for peatland areas between 40°N and 75°N is presented and evaluated against a newly compiled data set of groundwater table depth and eddy covariance observations of latent and sensible heat fluxes in natural and seminatural peatlands. CLSM's simulated groundwater tables are too deep and variable, whereas PEAT-CLSM simulates a mean groundwater table depth of -0.20 m (snow-free unfrozen period) with moderate temporal fluctuations (standard deviation of 0.10 m), in significantly better agreement with in situ observations. Relative to an operational CLSM version that simply includes peat as a soil class, the temporal correlation coefficient is increased on average by 0.16 and reaches 0.64 for bogs and 0.66 for fens when driven with global atmospheric forcing data. In PEAT-CLSM, runoff is increased on average by 38% and evapotranspiration is reduced by 19%. The evapotranspiration reduction constitutes a significant improvement relative to eddy covariance measurements.

摘要

泥炭地在全球地球系统建模框架中的体现较少。在此,我们将一个特定于泥炭地的陆地表面水文模块(PEAT - CLSM)添加到美国国家航空航天局戈达德地球观测系统(GEOS)框架的流域陆地表面模型(CLSM)中。原始CLSM中使用地形特征来模拟流域过程的修正TOPMODEL方法被摒弃,取而代之的是实现了一个特定于泥炭地的模型概念。为便于其在GEOS的实际工作中应用,PEAT - CLSM采用了CLSM的基本结构和相同的全球输入数据。PEAT - CLSM中使用的参数基于文献数据。给出了一组针对北纬40°至75°之间泥炭地区域的CLSM和PEAT - CLSM模拟结果,并根据一个新编制的地下水位深度数据集以及自然和半自然泥炭地中潜热通量和感热通量的涡度协方差观测数据进行评估。CLSM模拟的地下水位过深且变化较大,而PEAT - CLSM模拟的平均地下水位深度为 - 0.20米(无雪未冻结期),时间波动适中(标准差为0.10米),与实地观测结果的一致性明显更好。相对于一个简单地将泥炭作为一种土壤类型包含在内的CLSM运行版本,当使用全球大气强迫数据驱动时,时间相关系数平均提高了0.16,对于沼泽地达到0.64,对于泥炭藓沼泽达到0.66。在PEAT - CLSM中,径流平均增加了38%,蒸散量减少了19%。相对于涡度协方差测量结果,蒸散量的减少是一个显著的改进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a760/7580791/d5532cec4ad0/nihms-1540498-f0011.jpg

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