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PEAT-CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model.
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.
Afiliação
  • Bechtold M; Department of Earth and Environmental Sciences, KU Leuven, Heverlee, Belgium.
  • De Lannoy GJM; Department of Computer Science, KU Leuven, Heverlee, Belgium.
  • Koster RD; Department of Earth and Environmental Sciences, KU Leuven, Heverlee, Belgium.
  • Reichle RH; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
  • Mahanama SP; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
  • Bleuten W; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
  • Bourgault MA; Science Systems and Applications, Inc., Lanham, MD, USA.
  • Brümmer C; Department of Physical Geography, Utrecht University, Utrecht, The Netherlands.
  • Burdun I; Département des sciences de la Terre et de l'atmosphère-GEOTOP Research Center, Université du Québec à Montréal, Montréal, Québec, Canada.
  • Desai AR; Thünen Institute of Climate-Smart Agriculture, Braunschweig, Germany.
  • Devito K; Department of Geography, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.
  • Grünwald T; Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, USA.
  • Grygoruk M; Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.
  • Humphreys ER; Institute of Hydrology and Meteorology, Technische Universität Dresden, Tharandt, Germany.
  • Klatt J; Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences-SGGW, Warsaw, Poland.
  • Kurbatova J; Department of Geography and Environmental Studies, Carleton University, Ottawa, Ontario, Canada.
  • Lohila A; Institute for Meteorology and Climatology-Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, Germany.
  • Munir TM; A. N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Moscow, Russia.
  • Nilsson MB; Climate System Research, Finnish Meteorological Institute, Helsinki, Finland.
  • Price JS; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland.
  • Röhl M; Department of Geography, University of Calgary, Calgary, Alberta, Canada.
  • Schneider A; Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden.
  • Tiemeyer B; Wetlands Hydrology Lab, University of Waterloo, Waterloo, Ontario, Canada.
J Adv Model Earth Syst ; 11(7): 2130-2162, 2019 Jul.
Article em En | MEDLINE | ID: mdl-33101595
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article