Skip to main navigation Skip to search Skip to main content

How well do terrestrial biosphere models simulate coarse-scale runoff in the contiguous United States?

  • C. R. Schwalm
  • , D. N. Huntzinger
  • , R. B. Cook
  • , Y. Wei
  • , I. T. Baker
  • , R. P. Neilson
  • , B. Poulter
  • , Peter Caldwell
  • , G. Sun
  • , H. Q. Tian
  • , N. Zeng

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Significant changes in the water cycle are expected under current global environmental change. Robust assessment of present-day water cycle dynamics at continental to global scales is confounded by shortcomings in the observed record. Modeled assessments also yield conflicting results which are linked to differences in model structure and simulation protocol. Here we compare simulated gridded (1° spatial resolution) runoff from six terrestrial biosphere models (TBMs), seven reanalysis products, and one gridded surface station product in the contiguous United States (CONUS) from 2001 to 2005. We evaluate the consistency of these 14 estimates with stream gauge data, both as depleted flow and corrected for net withdrawals (2005 only), at the CONUS and water resource region scale, as well as examining similarity across TBMs and reanalysis products at the grid cell scale. Mean runoff across all simulated products and regions varies widely (range: 71 to 356mmyr-1) relative to observed continental-scale runoff (209 or 280mmyr-1 when corrected for net withdrawals). Across all 14 products 8 exhibit Nash-Sutcliffe efficiency values in excess of 0.8 and three are within 10% of the observed value. Region-level mismatch exhibits a weak pattern of overestimation in western and underestimation in eastern regions-although two products are systematically biased across all regions-and largely scales with water use. Although gridded composite TBM and reanalysis runoff show some regional similarities, individual product values are highly variable. At the coarse scales used here we find that progress in better constraining simulated runoff requires standardized forcing data and the explicit incorporation of human effects (e.g., water withdrawals by source, fire, and land use change).

Original languageEnglish
Pages (from-to)87-96
Number of pages10
JournalEcological Modelling
Volume303
DOIs
StatePublished - May 1 2015

Funding

Support for this activity came from the US National Aeronautics and Space Administration (NASA) Terrestrial Ecology Program ( NNH10AN68I and NNX11AO08A ) and from the Terrestrial Ecosystem Science Focus Area at the Office of Biological and Environmental Research, US Department of Energy (DOE) . Oak Ridge National Laboratory is managed by UT-Battelle for DOE under contract DE-AC05-00OR22725 . IB was sponsored by the National Science Foundation (NSF) ( ATM-0425247 , AGS-0425247-13 and AGS1049041 ), the Department of Commerce/National Oceanic and Atmospheric Administration ( NA08AR4320893 ), NASA ( NNX06AC75G , NNX08AM56G , NNX12AP86G , NNX10AT41G , and NNX11AB87G ), DOE ( DE-FG02-06ER64317 ), and the National Institute for Climate Change Research ( MTU050516Z14 ). PC and GS were partially supported by the NSF EaSM program ( AGS-1049200 ) at North Carolina State University. HT was supported by the NASA Interdisciplinary Science Program ( NNX11AD47G and NNX10AU06G ). We thank Mac Post for his contributions to this research. This is a contribution of the North American Carbon Program.

Keywords

  • Intercomparison
  • North American Carbon Program
  • Regional
  • Runoff
  • Terrestrial biosphere models

Fingerprint

Dive into the research topics of 'How well do terrestrial biosphere models simulate coarse-scale runoff in the contiguous United States?'. Together they form a unique fingerprint.

Cite this