TY - JOUR
T1 - Influence of climate model biases and daily-scale temperature and precipitation events on hydrological impacts assessment
T2 - A case study of the United States
AU - Ashfaq, Moetasim
AU - Bowling, Laura C.
AU - Cherkauer, Keith
AU - Pal, Jeremy S.
AU - Diffenbaugh, Noah S.
PY - 2010
Y1 - 2010
N2 - The Intergovernmental Panel on Climate Change's Fourth Assessment Report concludes that climate change is now unequivocal, and associated increases in evaporation and atmospheric water content could intensify the hydrological cycle. However, the biases and coarse spatial resolution of global climate models limit their usefulness in hydrological impact assessment. In order to reduce these limitations, we use a high‐resolution regional climate model (RegCM3) to drive a hydrological model (variable infiltration capacity) for the full contiguous United States. The simulations cover 1961–1990 in the historic period and 2071–2100 in the future (A2) period. A quantile‐based bias correction technique is applied to the times series of RegCM3‐simulated precipitation and temperature. Our results show that biases in the RegCM3 fields not only affect the magnitude of hydrometeorological variables in the baseline hydrological simulation, but they also affect the response of hydrological variables to projected future anthropogenic increases in greenhouse forcing. Further, we find that changes in the intensity and occurrence of severe wet and hot events are critical in determining the sign of hydrologic change. These results have important implications for the assessment of potential future hydrologic changes, as well as for developing approaches for quantitative impacts assessment.
AB - The Intergovernmental Panel on Climate Change's Fourth Assessment Report concludes that climate change is now unequivocal, and associated increases in evaporation and atmospheric water content could intensify the hydrological cycle. However, the biases and coarse spatial resolution of global climate models limit their usefulness in hydrological impact assessment. In order to reduce these limitations, we use a high‐resolution regional climate model (RegCM3) to drive a hydrological model (variable infiltration capacity) for the full contiguous United States. The simulations cover 1961–1990 in the historic period and 2071–2100 in the future (A2) period. A quantile‐based bias correction technique is applied to the times series of RegCM3‐simulated precipitation and temperature. Our results show that biases in the RegCM3 fields not only affect the magnitude of hydrometeorological variables in the baseline hydrological simulation, but they also affect the response of hydrological variables to projected future anthropogenic increases in greenhouse forcing. Further, we find that changes in the intensity and occurrence of severe wet and hot events are critical in determining the sign of hydrologic change. These results have important implications for the assessment of potential future hydrologic changes, as well as for developing approaches for quantitative impacts assessment.
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UR - http://digitalcommons.lmu.edu/es-ce_fac/29
U2 - 10.1029/2009JD012965
DO - 10.1029/2009JD012965
M3 - Article
AN - SCOPUS:77955376519
SN - 0148-0227
VL - 115
JO - Journal of Geophysical Research Atmospheres
JF - Journal of Geophysical Research Atmospheres
IS - 14
M1 - D14116
ER -