U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

Contribution of Environmental Forcings to U.S. Runoff Changes for the Period 1950-2010
Published: May 04, 2018
Posted: July 02, 2018

Understanding and attributing long-term trends of US runoff changes.

The Science 
This study examines the annual and seasonal trends of U.S. runoff for the 1950-2010 period. Models and measurements are used to study how and why run-off has changed in different regions and seasons of the U.S.

The Impact
Statistical methods, modeling, and observations were used to show significant changing trends and quantification of the environmental driving mechanisms for the US runoff during the 1950-2010 period.

Runoff in the United States is changing, and this study finds that the measured change is dependent on the geographic region and varies seasonally. Specifically, observed annual total runoff had an insignificant increasing trend in the U.S. between 1950 and 2010, but this insignificance is due to regional heterogeneity with both significant and insignificant increases in the eastern, northern, and southern U.S., and a greater significant decrease in the western U.S. Trends for seasonal mean runoff also differs across regions. By region, the season with the largest observed trend is autumn for the east (positive), spring for the north (positive), winter for the south (positive), winter for the west (negative), and autumn for the U.S. as a whole (positive). Based on the detection and attribution analysis using gridded WaterWatch runoff observations along with semi-factorial land surface model simulations from the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP), we find that while the roles of CO2 concentration, nitrogen deposition, and land use and land cover appear inconsistent regionally and seasonally, the effect of climatic variations is detected for all regions and seasons, and the change in runoff can be attributed to climate change in summer and autumn in the south and in autumn in the west. We also find that the climate-only and historical transient simulations consistently underestimated the runoff trends, possibly due to precipitation bias in the MsTMIP driver or within the models themselves.

Contacts (BER PM)
Daniel Stover, Renu Joseph, and Dorothy Koch
Daniel.Stover@science.doe.gov, renu.joseph@science.doe.gov and dorothy.koch@science.doe.gov

PI Contact
Jiafu Mao
Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, maoj@ornl.gov

W. Forbes, J. Mao, X. Shi, D.M. Ricciuto, P.E. Thornton, and F.M. Hoffman are supported by DOE Office of Science, Biological and Environmental Research, including support from the following programs:
Terrestrial Ecosystem Science Program, Regional and Global Climate Modeling Program (RUBISCO SFA), and the Earth System Modeling Program (the Energy Exascale Earth System Model (E3SM) project).

Forbes, W., J.  Mao, M. Jin*, S.-C. Kao, W. Fu, X. Shi, D.M. Riccuito, P. E. Thornton, A. Ribes, Y. Wang, S. Piao, T. Zhao, C.R. Schwalm, F.M. Hoffman, J.B. Fisher, A. Ito, B. Poulter, Y. Fang, H. Tian, A. Jain, and D. Hayes. “Contribution of environmental forcings to US runoff changes for the period 1950-2010.” Env. Res. Lett. 13 054023 (2018). [DOI: 10.1088/1748-9326/aabb41]

Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling
  • Research Area: Terrestrial Ecosystem Science

Division: SC-23.1 Climate and Environmental Sciences Division, BER


BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)