On the Sensitivity of Annual Streamflow to Air Temperature

Water Resources Research - Tập 54 Số 4 - Trang 2624-2641 - 2018
P. C. D. Milly1, Jonghun Kam2, K. A. Dunne1
1U. S. Geological Survey, Princeton, NJ, USA
2Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, AL, USA

Tóm tắt

Abstract

Although interannual streamflow variability is primarily a result of precipitation variability, temperature also plays a role. The relative weakness of the temperature effect at the annual time scale hinders understanding, but may belie substantial importance on climatic time scales. Here we develop and evaluate a simple theory relating variations of streamflow and evapotranspiration (E) to those of precipitation (P) and temperature. The theory is based on extensions of the Budyko water‐balance hypothesis, the Priestley‐Taylor theory for potential evapotranspiration ( ), and a linear model of interannual basin storage. The theory implies that the temperature affects streamflow by modifying evapotranspiration through a Clausius‐Clapeyron‐like relation and through the sensitivity of net radiation to temperature. We apply and test (1) a previously introduced “strong” extension of the Budyko hypothesis, which requires that the function linking temporal variations of the evapotranspiration ratio (E/P) and the index of dryness ( /P) at an annual time scale is identical to that linking interbasin variations of the corresponding long‐term means, and (2) a “weak” extension, which requires only that the annual evapotranspiration ratio depends uniquely on the annual index of dryness, and that the form of that dependence need not be known a priori nor be identical across basins. In application of the weak extension, the readily observed sensitivity of streamflow to precipitation contains crucial information about the sensitivity to potential evapotranspiration and, thence, to temperature. Implementation of the strong extension is problematic, whereas the weak extension appears to capture essential controls of the temperature effect efficiently.

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Tài liệu tham khảo

10.1002/eco.233

Andreassian V. &Lebecherel L.(2013). A short history of the development of the Turc‐Mezentsev water balance formula. InEGU General Assembly 2013(12907 p.) held 7–12 April 2013 in Vienna Austria.

10.1016/S0022-1694(02)00101-4

Budyko M. I., 1974, Climate and life, 508

10.1175/JHM-D-12-0107.1

10.1175/1520-0477(1992)073<2013:SORTCC>2.0.CO;2

10.1175/JHM-D-14-0238.1

Global Runoff Data Centre(2011).Watershed boundaries of GRDC Stations/Global Runoff Data Centre. Koblenz Germany: Federal Institute of Hydrology (BfG). Retrieved fromhttp://www.bafg.de/GRDC/EN/02_srvcs/22_gslrs/222_WSB/watershedBoundaries.html?nn=201570

Global Runoff Data Centre(2017a).Global Runoff Database/Global Runoff Data Centre. Koblenz Germany: Federal Institute of Hydrology (BfG). Retrieved fromhttp://www.bafg.de/GRDC/EN/01_GRDC/13_dtbse/database_node.html

Global Runoff Data Centre(2017b).River Discharge Data/Global Runoff Data Centre. Koblenz Germany: Federal Institute of Hydrology (BfG). Retrieved fromhttp://www.bafg.de/GRDC/EN/02_srvcs/21_tmsrs/riverdischarge_node.html

10.1029/2008WR007575

Hoerling M., 2007, Past peak water in the Southwest, Southwest Hydrology, 6, 18

10.1111/j.1365-2486.2011.02397.x

Jeton A. E. Dettinger M. D. &Smith J. L.(1996).Potential effects of climate change on streamflow eastern and western slopes of the Sierra Nevada California and Nevada(U.S. Geol. Surv. Water Resour. Invest. Rep. 95–4260 44 p.). Sacramento CA: U.S. Geological Survey.

Kam J. Milly P. C. D. &Dunne K. A.(2018).Monthly time series of precipitation air temperature and net radiation for 2 673 gaged river basins worldwide: U.S. Geological Survey data release. Reston VA: U.S. Geological Survey.https://doi.org/10.5066/F7SJ1JVG

10.1175/1520-0442(1999)012<1911:ASFFET>2.0.CO;2

Lehner B. R‐Liermann C. Revenga C. Vörösmarty C. Fekete B. Crouzet P. et al. (2015). High resolution mapping of the world's reservoirs and dams for sustainable river flow management (Source: GWSP Digital Water Atlas (2008). Map 81: GRanD Database (V1.0). Retrieved fromhttp://atlas.gwsp.org).Frontiers in Ecology and the Environment 9(9) 494–502.

10.1029/2007GL031764

10.1002/qj.49710243115

10.1029/2001WR000760

10.1029/2001WR000759

10.1038/nclimate3046

10.1111/1752-1688.12538

Milly P. C. D. Kam J. &Dunne K. A.(2018).Annual streamflow sensitivity to air temperature for 2 673 gaged river basins worldwide: U.S. Geological Survey data release. Reston VA: U.S. Geological Survey.https://doi.org/10.5066/F7SN085V

10.1016/j.catena.2012.01.006

10.1073/pnas.1204330109

10.1175/1520-0450(1967)006<0203:OTCOSV>2.0.CO;2

10.1016/j.ejrh.2015.12.059

NASA(2017).Surface radiation budget release‐3.0. Hampton VA: NASA Langley Research Center Atmospheric Sciences Data Center NASA/GEWEX SRB Project. Retrieved fromhttps://eosweb.larc.nasa.gov/project/srb/srb_table

Nash L. L. &Gleick P. H.(1993).The Colorado River Basin and climatic change The sensitivity of streamflow and water supply to variations in temperature and precipitation. Oakland CA: Pacific Institute for Studies in Development Environment and Security.

NOAA(1988).Data announcement 88‐MGG‐02 Digital relief of the surface of the Earth. Boulder CO: NOAA National Geophysical Data Center. Retrieved fromhttps://www.ngdc.noaa.gov/mgg/global/etopo5.HTML

10.1175/JCLI-D-11-00406.1

10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2

Revelle R. R. &Waggoner P. E.(1983). Effects of a carbon dioxide‐induced climatic change on water supplies in the western United States. InChanging climate: Report of the carbon dioxide assessment committee Washington DC: National Academy Press.

10.1029/2010WR009826

10.1175/JCLI-D-13-00233.1

Schneider U. Becker A. Finger P. Meyer‐Christoffer A. Rudolf B. &Ziese M.(2015).GPCC full data reanalysis version 7.0 at 0.5°: Monthly land‐surface precipitation from rain‐gauges built on GTS‐based and historic data. Offenbach/Main Germany: Deutscher Wetterdienst.https://doi.org/10.5676/DWD_GPCC/FD_M_V7_050

Shuttleworth W. J., 1993, Handbook of hydrology, 4.1

Tan X., 2015, Contribution of human and climate change impacts to changes in streamflow of Canada, Scientific Reports, 5

10.1002/2016WR019638

University of East Anglia Climatic Research Unit Harris I. C. &Jones P. D.(2017 25 August).CRU TS4.00: Climatic Research Unit (CRU) Time‐Series (TS) version 4.00 of high‐resolution gridded data of month‐by‐month variation in climate (Jan. 1901–Dec. 2015). Norwich UK: Centre for Environmental Data Analysis.https://doi.org/10.5285/edf8febfdaad48abb2cbaf7d7e846a86

10.1175/JHM-D-11-069.1

10.1002/2015GL067613

10.1088/1755-1315/82/1/012063

10.1175/JHM-D-10-05004.1

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Water Resources Research

Tập 54 Số 4

2624-2641

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