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JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 113, G01021, doi:10.1029/2007JG000563, 2008

Improvements to the Community Land Model and their impact on the hydrological cycle

K. W. Oleson

Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USA


G.-Y. Niu

Department of Geological Sciences, University of Texas at Austin, Austin, Texas, USA


Z.-L. Yang

Department of Geological Sciences, University of Texas at Austin, Austin, Texas, USA


D. M. Lawrence

Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USA


P. E. Thornton

Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USA


P. J. Lawrence

Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA


R. Stöckli

Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, USA
Institute for Atmospheric and Climate Sciences, ETH Zurich, Zurich, Switzerland
NASA Earth Observatory, Goddard Space Flight Center, Greenbelt, Maryland, USA


R. E. Dickinson

Department of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA


G. B. Bonan

Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USA


S. Levis

Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USA


A. Dai

Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USA


T. Qian

Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, Colorado, USA


Abstract

The Community Land Model version 3 (CLM3) is the land component of the Community Climate System Model (CCSM). CLM3 has energy and water biases resulting from deficiencies in some of its canopy and soil parameterizations related to hydrological processes. Recent research by the community that utilizes CLM3 and the family of CCSM models has indicated several promising approaches to alleviating these biases. This paper describes the implementation of a selected set of these parameterizations and their effects on the simulated hydrological cycle. The modifications consist of surface data sets based on Moderate Resolution Imaging Spectroradiometer products, new parameterizations for canopy integration, canopy interception, frozen soil, soil water availability, and soil evaporation, a TOPMODEL-based model for surface and subsurface runoff, a groundwater model for determining water table depth, and the introduction of a factor to simulate nitrogen limitation on plant productivity. The results from a set of offline simulations were compared with observed data for runoff, river discharge, soil moisture, and total water storage to assess the performance of the new model (referred to as CLM3.5). CLM3.5 exhibits significant improvements in its partitioning of global evapotranspiration (ET) which result in wetter soils, less plant water stress, increased transpiration and photosynthesis, and an improved annual cycle of total water storage. Phase and amplitude of the runoff annual cycle is generally improved. Dramatic improvements in vegetation biogeography result when CLM3.5 is coupled to a dynamic global vegetation model. Lower than observed soil moisture variability in the rooting zone is noted as a remaining deficiency.

Received 26 July 2007; accepted 30 November 2007; published 12 March 2008.

Keywords: land surface model; land-atmosphere exchange; hydrology.

Index Terms: 1847 Hydrology: Modeling; 1626 Global Change: Global climate models (3337, 4928); 0426 Biogeosciences: Biosphere/atmosphere interactions (0315); 1615 Global Change: Biogeochemical cycles, processes, and modeling (0412, 0414, 0793, 4805, 4912); 1631 Global Change: Land/atmosphere interactions (1218, 1843, 3322).


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Citation: Oleson, K. W., et al. (2008), Improvements to the Community Land Model and their impact on the hydrological cycle, J. Geophys. Res., 113, G01021, doi:10.1029/2007JG000563.