An enhanced model of land water and energy for global hydrologic and earth-system studies

  • P. C.D. Milly
  • , Sergey L. Malyshev
  • , Elena Shevliakova
  • , Krista A. Dunne
  • , Kirsten L. Findell
  • , Tom Gleeson
  • , Zhi Liang
  • , Peter Phillipps
  • , Ronald J. Stouffer
  • , Sean Swenson

Research output: Contribution to journalArticlepeer-review

142 Scopus citations

Abstract

LM3 is a new model of terrestrial water, energy, and carbon, intended for use in global hydrologic analyses and as a component of earth-system and physical-climate models. It is designed to improve upon the performance and to extend the scope of the predecessor Land Dynamics (LaD) and LM3V models by better quantifying the physical controls of climate and biogeochemistry and by relating more directly to components of the globalwater systemthat touch human concerns.LM3 includesmultilayer representations of temperature, liquid water content, and ice content of both snowpack andmacroporous soil-bedrock; topography-based description of saturated area and groundwater discharge and transport of runoff to the ocean via a global river and lake network. Sensible heat transport by watermass is accounted throughout for a complete energy balance. Carbon and vegetation dynamics and biophysics are represented as in LM3V. In numerical experiments, LM3 avoids some of the limitations of the LaD model and provides qualitatively (though not always quantitatively) reasonable estimates, from a global perspective, of observed spatial and/or temporal variations of vegetation density, albedo, streamflow, water-table depth, permafrost, and lake levels. Amplitude and phase of annual cycle of total water storage are simulated well. Realism of modeled lake levels varies widely. The water table tends to be consistently too shallow in humid regions. Biophysical properties have an artificial stepwise spatial structure, and equilibrium vegetation is sensitive to initial conditions. Explicit resolution of thick (>100m) unsaturated zones and permafrost is possible, but only at the cost of long (≫300 yr) model spinup times.

Original languageEnglish
Pages (from-to)1739-1761
Number of pages23
JournalJournal of Hydrometeorology
Volume15
Issue number5
DOIs
StatePublished - 2014

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