Incorporating Climate Change and Variability into Bulletin 17B LP3 Model

The current techniques for flood frequency analysis presented in Bulletin 17B assume annual maximum floods are stationary, meaning that the distribution of flood flows is not significantly affected by climatic trends or long-term cycles (i.e. decadal variations). Observed trends in stream flows raise concern as to whether or not this assumption is valid. This paper considers how the Bulletin 17B framework might be modified to account for nonstationarity in flood records due to climate variability. In order to improve estimates/forecasts obtained using the LP3 model, the effects of climate variability may be incorporated into updated estimates of the mean, standard deviation, and perhaps the skew by regressing the LP3 parameters on climatic indices describing the Pacific Decadal Oscillation and Northern Atlantic Oscillation. The effects of climatic cycles occurring over a shorter time frame, such as El Nino, are averaged into estimates made using the procedures of Bulletin 17B . However, the effects of El Nino are likely to affect the magnitude of annual maximum stream flows, and thus would impact flood risk in a given year. El Nino effects are incorporated into forecasts by regressing the LP3 parameters on sea surface temperatures.

[1]  T. Piechota,et al.  Pacific Oceanic / Atmospheric Variability and the Wind River Range , 2006 .

[2]  M. Noguer,et al.  Climate change 2001: The scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2002 .

[3]  Jery R. Stedinger,et al.  Climate Variability and Flood-Risk Management , 2001 .

[4]  J. R. Wallis,et al.  Hydro-Climatological Trends in the Continental United States, 1948-88 , 1994 .

[5]  S. Franks,et al.  Multi‐decadal variability of flood risk , 2003 .

[6]  J. Knox.  Fluvial Responses to Small Scale Climate Changes , 1984 .

[7]  E. Vivoni,et al.  Effects of atmospheric teleconnections on seasonal precipitation in mountainous regions of the southwestern U.S.: A case study in northern New Mexico , 2005 .

[8]  C. Kucharik,et al.  Effects of El Niño-Southern Oscillation on the climate, water balance, and streamflow of the Mississippi River basin , 2005 .

[9]  Ashutosh Kumar Singh,et al.  Coupled oceanic‐atmospheric variability and U.S. streamflow , 2005 .

[10]  T. McMahon,et al.  Global ENSO-streamflow teleconnection, streamflow forecasting and interannual variability , 2002 .

[11]  S. Coles,et al.  An Introduction to Statistical Modeling of Extreme Values , 2001 .

[12]  J. M. Schneider,et al.  Climate variability and climate change , 2006 .

[13]  J. Garbrecht,et al.  Climate Variations, Climate Change, and Water Resources Engineering , 2005 .

[14]  Alexei G. Sankovski,et al.  Special report on emissions scenarios : a special report of Working group III of the Intergovernmental Panel on Climate Change , 2000 .

[15]  Upmanu Lall,et al.  Floods in a changing climate: Does the past represent the future? , 2001, Water Resources Research.

[16]  M. Woo,et al.  Prediction of annual floods generated by mixed processes , 1982 .

[17]  M. Parlange,et al.  Statistics of extremes in hydrology , 2002 .

[18]  David R. Easterling,et al.  Long-Term Trends in Extreme Precipitation Events over the Conterminous United States and Canada , 1999 .

[19]  M. Clark,et al.  Seasonal Cycle Shifts in Hydroclimatology over the Western United States , 2003 .

[20]  J. Garbrecht,et al.  Water resources and climate , 2006 .

[21]  G. Müller,et al.  The Scientific Basis , 1995 .

[22]  J. Stedinger.  Inland Flood Hazards: Flood Frequency Analysis and Statistical Estimation of Flood Risk , 2000 .

[23]  Paulin Coulibaly,et al.  Nonstationary hydrological time series forecasting using nonlinear dynamic methods , 2005 .

[24]  A. Kalra,et al.  Is Climate Change Evident in U.S. Streamflow , 2006 .

[25]  George Kuczera,et al.  Flood frequency analysis: Evidence and implications of secular climate variability, New South Wales , 2002 .

[26]  Thomas C. Piechota,et al.  Long Range Streamflow Forecasting Using El Nino-Southern Oscillation Indicators , 1999 .

[27]  Thomas C. Piechota,et al.  Drought and Regional Hydrologic Variation in the United States: Associations with the El Niño-Southern Oscillation , 1996 .

[28]  Jose D. Salas,et al.  Prediction of Extreme Events in Hydrologic Processes that Exhibit Abrupt Shifting Patterns , 2005 .

[29]  Thomas R. Karl,et al.  Heavy Precipitation and High Streamflow in the Contiguous United States: Trends in the Twentieth Century. , 2001 .

[30]  V. Singh,et al.  Non-stationary approach to at-site flood frequency modelling I. Maximum likelihood estimation , 2001 .

[31]  K. Hirschboeck,et al.  Inland Flood Hazards: Hydroclimatology of Meteorologic Floods , 2000 .

[32]  Jery R. Stedinger,et al.  CLIMATE VARIABILITY AND FLOOD FREQUENCY ESTIMATION FOR THE UPPER MISSISSIPPI AND LOWER MISSOURI RIVERS 1 , 1999 .

[33]  Balaji Rajagopalan,et al.  A technique for incorporating large‐scale climate information in basin‐scale ensemble streamflow forecasts , 2005 .

[34]  Dennis P. Lettenmaier,et al.  Columbia River Streamflow Forecasting Based on ENSO and PDO Climate Signals , 1999 .