Should flood regimes change in a warming climate? The role of antecedent moisture conditions

Assessing changes to flooding is important for designing new and redesigning existing infrastructure to withstand future climates. While there is speculation that floods are likely to intensify in the future, this question is often difficult to assess due to inadequate records on streamflow extremes. An alternate way of determining possible extreme flooding is through assessment of the two key factors that lead to the intensification of floods: the intensification of causative rainfall and changes in the wetness conditions prior to rainfall. This study assesses global changes in the antecedent wetness prior to extreme rainfall. Our results indicate a significant increase in the antecedent moisture in Australia and Africa over the last century; however, there was also a decrease in Eurasia and insignificant change in North America. Given the nature of changes found in this study, any future flood assessment for global warming conditions should take into account antecedent moisture conditions.

[1]  S. Gangopadhyay,et al.  Spatial variability of seasonal extreme precipitation in the western United States , 2015 .

[2]  D. Gatz,et al.  The standard error of a weighted mean concentration—I. Bootstrapping vs other methods , 1995 .

[3]  Ashish Sharma,et al.  Observed relationships between extreme sub‐daily precipitation, surface temperature, and relative humidity , 2010 .

[4]  Vazken Andréassian,et al.  How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments , 2009 .

[5]  J. V. Revadekar,et al.  Global observed changes in daily climate extremes of temperature and precipitation , 2006 .

[6]  Ashish Sharma,et al.  Steeper temporal distribution of rain intensity at higher temperatures within Australian storms , 2015 .

[7]  Ashish Sharma,et al.  A Comparison of Australian Open Water Body Evaporation Trends for Current and Future Climates Estimated from Class A Evaporation Pans and General Circulation Models , 2010 .

[8]  Murugesu Sivapalan,et al.  Dominant flood generating mechanisms across the United States , 2016 .

[9]  Russell S. Vose,et al.  Comprehensive Automated Quality Assurance of Daily Surface Observations , 2010 .

[10]  H. Lins,et al.  Seasonal and Regional Characteristics of U.S. Streamflow Trends in the United States from 1940 to 1999 , 2005 .

[11]  G. Ali,et al.  A case study on the use of appropriate surrogates for antecedent moisture conditions (AMCs) , 2010 .

[12]  Ashish Sharma,et al.  Reduced spatial extent of extreme storms at higher temperatures , 2016 .

[13]  V. Singh,et al.  Assimilation of Observed Soil Moisture Data in Storm Rainfall-Runoff Modeling , 2009 .

[14]  L. Rotstayn,et al.  Variability and Trend of North West Australia Rainfall: Observations and Coupled Climate Modeling , 2008 .

[15]  J. Chiang,et al.  Increase in the range between wet and dry season precipitation , 2013 .

[16]  D. Moorhead,et al.  Increasing risk of great floods in a changing climate , 2002, Nature.

[17]  A. H. Thiessen PRECIPITATION AVERAGES FOR LARGE AREAS , 1911 .

[18]  Ashish Sharma,et al.  Quantile regression for investigating scaling of extreme precipitation with temperature , 2014 .

[19]  Richard P. Allan,et al.  Large discrepancy between observed and simulated precipitation trends in the ascending and descending branches of the tropical circulation , 2007 .

[20]  Bellie Sivakumar,et al.  Droughts in a warming climate: A global assessment of Standardized precipitation index (SPI) and Reconnaissance drought index (RDI) , 2015 .

[21]  V. Singh,et al.  Catchment area‐based evaluation of the AMC‐dependent SCS‐CN‐based rainfall–runoff models , 2005 .

[22]  K. Findell,et al.  Simulation of Sahel drought in the 20th and 21st centuries. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[23]  S. Nicholson The West African Sahel: A Review of Recent Studies on the Rainfall Regime and Its Interannual Variability , 2013 .

[24]  E. Wood,et al.  Global Trends and Variability in Soil Moisture and Drought Characteristics, 1950–2000, from Observation-Driven Simulations of the Terrestrial Hydrologic Cycle , 2008 .

[25]  Thomas R. Karl,et al.  Secular Trends of Precipitation Amount, Frequency, and Intensity in the United States , 1998 .

[26]  Khaled H. Hamed,et al.  A modified Mann-Kendall trend test for autocorrelated data , 1998 .

[27]  Robert S. Anderson,et al.  Controls on flash flood magnitude and hydrograph shape, Upper Blue Hills badlands, Utah , 1997 .

[28]  Hyungjun Kim,et al.  First look at changes in flood hazard in the Inter-Sectoral Impact Model Intercomparison Project ensemble , 2013, Proceedings of the National Academy of Sciences.

[29]  A. Sharma,et al.  How does the Interdecadal Pacific Oscillation affect design floods in Australia? , 2011 .

[30]  R. Vose,et al.  An Overview of the Global Historical Climatology Network-Daily Database , 2012 .

[31]  J. Durbin,et al.  Testing for serial correlation in least squares regression. II. , 1950, Biometrika.

[32]  F. Zwiers,et al.  Global increasing trends in annual maximum daily precipitation , 2013 .

[33]  W. Wagner,et al.  Skill and Global Trend Analysis of Soil Moisture from Reanalyses and Microwave Remote Sensing , 2013 .

[34]  C. De Michele,et al.  On the derived flood frequency distribution: analytical formulation and the influence of antecedent soil moisture condition , 2002 .

[35]  Ashish Sharma Design flood estimation in a warming climate – issues, challenges and the way ahead , 2013 .

[36]  Ashish Sharma,et al.  Why continuous simulation? The role of antecedent moisture in design flood estimation , 2012 .

[37]  Harry F. Lins,et al.  Streamflow trends in the United States , 1999 .