Shifting seasonality and increasing frequency of precipitation in wet and dry seasons across the U.S.

Geophysical Research Letters

Volumn 40, Issue 15, 2013, Pages 4030-4035

  Pal, Indrani ^a   Anderson, Bruce T ^b   Salvucci, Guido D ^b   Gianotti, Daniel J ^b  

^a The University of Colorado Denver   (United States)

^b BOSTON UNIVERSITY   (United States)

Author keywords

change; dry season; frequency; precipitation; seasonality; wet season

Indexed keywords

CHANGE; DRY SEASONS; FREQUENCY; SEASONALITY; WET SEASON;

COMPUTER SIMULATION; PRECIPITATION (CHEMICAL); WATER MANAGEMENT;

DROUGHT;

CLIMATE CHANGE; CLIMATE CLASSIFICATION; HISTORICAL PERSPECTIVE; MARKOV CHAIN; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); SEASONAL VARIATION; SIMULATION;

OHIO RIVER; UNITED STATES;

EID: 84880895828     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/grl.50760     Document Type: Article

References (29)

1. Alexander, L. V., et al. (2006), Global observed changes in daily climate extremes of temperature and precipitation, J. Geophys. Res., 111, D05109, doi: 10.1029/2005JD006290.
2. Anderson, B. T., J. Wang, G. D. Salvucci, S. Gopal, and, S. Islam, (2010), Observed trends in summertime precipitation over the southwestern United States, J. Climate, 23, 1937-1944.
3. Chou, C., J. C. H. Chiang, C. Lan, C. Chung, Y. Liao, and, C. Lee, (2013), Increase in the range between wet and dry season precipitation, Nat. Geosci., 6, 263-267.
4. Cook, B. I., and, R. Seager, (2013), The response of the North American Monsoon to increased greenhouse gas forcing, J Geophys Res. Atmos., online, 118, 1690-1699, doi: 10.1002/jgrd.50111.
5. Dai, A., (2006), Precipitation characteristics in eighteen coupled climate models, J. Climate, 19, 4605-4630.
6. Easterling, D. R., T. C. Peterson, and, T. R. Karl, (1996), On the development and use of homogenized climate data sets, J. Climate, 9, 1429-1434.
7. Easterling, D. R., J. L. Evans, P. Ya Groisman, T. R. Karl, K. E. Kunkel, and, P. Ambenje, (2000), Observed variability and trends in extreme climate events: A brief review, Bull. Am. Meteorol. Soc., 81 (3), 417-425.
8. Ellis, A. W., E. M. Saffell, and, T. W. Hawkins, (2004), A method for defining monsoon onset and demise in the southwestern USA, Int. J. Climatol., 24, 247-265.
9. Foley, J. A., C. J. Kucharik, T. E. Twine, and, M. T. Coe, (2004), Land use, land cover, and climate change across the Mississippi basin: Impacts on selected land and water resources, Ecosyst. Land Change Geophys. Monogr. Ser., 153, 249-261.
10. Frich, P., L. Alexander, P. Della-Marta, B. Gleason, M. Haylock, A. K. Tank, and, T. Peterson, (2002), Observed coherent changes in climatic extremes during the second half of the twentieth century, Clim. Res., 19, 193-212.
11. Gianotti, D. J., B. T. Anderson, and, G. D. Salvucci, (2013), What do rain gauges tell us about the limits of precipitation predictability?, J. Clim., 26, 5682-5688.
12. Groisman, P. Y., R. W. Knight, T. R. Karl, D. R. Easterling, B. Sun, and, J. M. Lawrimore, (2004), Contemporary changes of the hydrological cycle over the contiguous United States: Trends derived from in situ observations, J. Hydrometeorol., 5, 64-85.
13. Groisman, P. Y., R. W. Knight, D. R. Easterling, T. R. Karl, and, G. C. Hegerl, (2005), Trends in intense precipitation in the climate record, J. Clim., 18, 1326-1350.
14. Hennessy, K. J., J. M. Gregory, and, J. F. B. Mitchell, (1997), Changes in daily precipitation under enhanced greenhouse conditions, Clim. Dyn., 13, 667-680.
15. Higgins, R. W., and, V. E. Kousky, (2013), Changes in observed daily precipitation over the United States between 1950-79 and 1980-2009, J. Hydrometeorol., 14, 105-121.
16. Higgins, R. W., V. B. S. Silva, W. Shi, and, J. Larson, (2007), Relationships between climate variability and fluctuations in daily precipitation over the United States, J. Climate, 20, 3561-3579.
17. Hurvich, C. M., and, C. Tsai, (1989), Regression and time series model selection in small samples, Biometrika, 76 (2), 297-307.
18. Karl, T. R., and, W. Knight, (1998), Secular trends of precipitation amount, frequency, and intensity in the United States, Bull. Am. Meteorol. Soc., 79 (2), 231-241.
19. Kunkel, K. E., T. R. Karl, and, D. R. Easterling, (2007), A Monte Carlo assessment of uncertainties in heavy precipitation frequency variations, J. Hydrometeor., 8, 1152.
20. McCabe, G. J., D. R. Legates, and, H. F. Lins, (2010), Variability and trends in dry day frequency and dry event length in the southwestern United States, J. Geophys. Res., 115, D07108, doi: 10.1029/2009JD012866.
21. Pryor, S. C., and, J. T. Schoof, (2008), Changes in the seasonality of precipitation over the contiguous USA, J. Geophys. Res., 113, D21108, doi: 10.1029/2008JD010251.
22. Pryor, S. C., J. A. Howe, and, K. E. Kunkel, (2009), How spatially coherent and statistically robust are temporal changes in extreme precipitation in the contiguous USA?, Int. J. Climatol., 29, 31-45.
23. Schoof, J. T., S. C. Pryor, and, J. Surprenant, (2010), Development of daily precipitation projections for the United States based on probabilistic downscaling, J. Geophys. Res., 115, D13106, doi: 10.1029/2009JD013030.
24. Schubert, S. D., M. J. Suarez, P. J. Pegion, R. D. Koster, and, J. T. Bacmeister, (2004), On the cause of the 1930s Dust Bowl, Science, 303, 1855-1859.
25. Sen, P. K., (1968), Estimates of the regression coefficient based on Kendall's tau, J. Am. Stat. Assoc., 63, 1379-1389.
26. Stone, D. A., M. R. Allen, P. A. Stott, P. Pall, S. Min, T. Nozawa, and, S. Yuki-moto, (2009), The detection and attribution of human influence on climate, Annu. Rev. Environ. Res., 34, 1-16.
27. Stott, P. A., N. P. Gillett, G. C. Hegerl, D. J. Karoly, D. A. Stone, X. Zhang, and, F. Zwiers, (2010), Detection and attribution of climate change: A regional perspective, WIREs Clim. Change, 1, 192.
28. Sun, Y., S. Solomon, A. Dai, and, R. W. Portmann, (2007), How often will it rain?, J. Climate, 20 (19), 4801-4818.
29. Trenberth, K. E., A. Dai, R. M. Rasmussen, and, D. B. Parsons, (2003), The changing character of precipitation, Bull. Am. Meteorol. Soc., 84, 1205-1217.