Climate elasticity of streamflow in the United States

Precipitation elasticity of streamflow, ϵP, provides a measure of the sensitivity of streamflow to changes in rainfall. Watershed model-based estimates of ϵP are shown to be highly sensitive to model structure and calibration error. A Monte Carlo experiment compares a nonparametric estimator of ϵP with various watershed model-based approaches. The nonparametric estimator is found to have low bias and is as robust as or more robust than alternate model-based approaches. The nonparametric estimator is used to construct a map of ϵP for the United States. Comparisons with 10 detailed climate change studies reveal that the contour map of ϵP introduced here provides a validation metric for past and future climate change investigations in the United States. Further investigations reveal that ϵP tends to be low for basins with significant snow accumulation and for basins whose moisture and energy inputs are seasonally in phase with one another. The Budyko hypothesis can only explain variations in ϵP for very humid basins.

[1]  Richard M. Vogel,et al.  REGIONAL REGRESSION MODELS OF ANNUAL STREAMFLOW FOR THE UNITED STATES , 1999 .

[2]  M. Goodchild,et al.  Modeling the effects of climate change on water resources in the Gunnison River Basin, Colorado. , 1993 .

[3]  Gregory J. McCabe,et al.  Explaining spatial variability in mean annual runoff in the conterminous United States , 1999 .

[4]  R. Romanowicz,et al.  Partial analysis applied to scale problems in surface moisture fluxes , 1991 .

[5]  P. E. Waggoner,et al.  From climate to flow. , 1990 .

[6]  Michael Bruen,et al.  A simple model for estimating the sensitivity of runoff to long-term changes in precipitation without a change in vegetation , 1999 .

[7]  Michael D. Dettinger,et al.  Potential Effects of Climate Change on Streamflow, Eastern and Western Slopes of the Sierra Nevada, California and Nevada , 1996 .

[8]  Chong-Yu Xu,et al.  Methodology and comparative study of monthly water balance models in Belgium, China and Burma , 1992 .

[9]  Guohua Pan,et al.  Local Regression and Likelihood , 1999, Technometrics.

[10]  Jonathan R. M. Hosking,et al.  Regional Precipitation Quantile Values for the Continental United States Computed from L-Moments , 1993 .

[11]  David R. Maidment,et al.  Handbook of Hydrology , 1993 .

[12]  William M. Alley,et al.  On the Treatment of Evapotranspiration, Soil Moisture Accounting, and Aquifer Recharge in Monthly Water Balance Models , 1984 .

[13]  W. Russell Hamon.  Estimating Potential Evapotranspiration , 1960 .

[14]  G. Leavesley.  Modeling the effects of climate change on water resources - a review , 1994 .

[15]  S. Sorooshian,et al.  Effective and efficient global optimization for conceptual rainfall‐runoff models , 1992 .

[16]  J. Němec,et al.  Sensitivity of water resource systems to climate variation , 1982 .

[17]  W. Boggess,et al.  Climatic variation and surface water resources in the Great Basin Region , 1987 .

[18]  M. Budyko,et al.  Climate and life , 1975 .

[19]  Richard M. Vogel,et al.  The regional persistence and variability of annual streamflow in the United States , 1998 .

[20]  J. M. Landwehr,et al.  Hydro-climatic data network (HCDN); a U.S. Geological Survey streamflow data set for the United States for the study of climate variations, 1874-1988 , 1992 .

[21]  R. Allen,et al.  Evapotranspiration and Irrigation Water Requirements , 1990 .

[22]  M. Wand.  Local Regression and Likelihood , 2001 .

[23]  James C.I. Dooge,et al.  Sensitivity of Runoff to Climate Change: A Hortonian Approach , 1992 .

[24]  D. Entekhabi,et al.  Observed Sacramento Basin streamflow response to precipitation and temperature changes and its relevance to climate impact studies , 1996 .

[25]  C. Daly,et al.  A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain , 1994 .

[26]  P. Gleick,et al.  Sensitivity of streamflow in the Colorado Basin to climatic changes , 1991 .