Climatic Change

, Volume 132, Issue 4, pp 677–692 | Cite as

Changing characteristics of precipitation for the contiguous United States

  • Shuang-Ye WuEmail author


Using the US collection from the Global Historical Climatology Network Daily (GHCN-D) precipitation data for the contiguous United States (CONUS), this study examines the changing characteristics of precipitation during 1951–2013. In addition to mean precipitation, all precipitation events are divided into three categories: light, moderate, and heavy based on percentile thresholds. The historical trends are established for precipitation total, frequency and intensity, as well as for total and frequency of different intensity categories. Results show that from 1951 to 2013, mean precipitation increased at 1.66 % per decade, a higher rate than previous estimates. About one third of the increase is attributed to frequency change, whereas the other two thirds are attributed to an intensity increase. There was a slight decrease in light precipitation, a small increase in moderate precipitation, and much higher increase for heavy precipitation. Spatially, eastern and northern parts of the CONUS experienced higher rates of increase, whereas western regions experienced less increase. A statistically significant positive correlation exists between mean precipitation and precipitation change, suggesting the wet regions experienced more precipitation increase than dry regions. Seasonally, precipitation increased most for the fall, less in other seasons. Particularly, there were significant decreasing trends in summer precipitation for many parts of western and central CONUS. Regional frequency analysis is used to examine the change in extreme precipitation events with return intervals longer than a year. Results show that extreme precipitation events increased for most of the CONUS with the exception of the west region. These changes were a result of both a shift in the mean state and the shape of the precipitation data distribution.


Tropical Cyclone Precipitation Event Extreme Precipitation Precipitation Change Heavy Precipitation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Supplementary material

10584_2015_1453_MOESM1_ESM.docx (21 kb)
Supplementary materials (DOCX 20 kb)


  1. Allen MR, Ingram WJ (2002) Constraints on future changes in climate and the hydrologic cycle. Nature 419:224–232CrossRefGoogle Scholar
  2. CCSP (2008) Weather and climate extremes in a changing climate. Regions of focus: North America, Hawaii, Caribbean, and U.S. Pacific Islands. A Report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research. Department of Commerce, NOAA’s National Climatic Data Center, Washington, D.C., USA, 164 ppGoogle Scholar
  3. Chou C, Neelin JD (2004) Mechanisms of global warming impacts on regional tropical precipitation. J Clim 17:2688–2701CrossRefGoogle Scholar
  4. Chou C, Neelin JD, Chen CA, Tu JY (2009) Evaluating the “rich-get-richer” mechanism in tropical precipitation change under global warming. J Clim 22:1982–2005CrossRefGoogle Scholar
  5. Emanuel K (2007) Environmental factors affecting tropical cyclone power dissipation. J Clim 20Google Scholar
  6. Groisman PY, Easterling DR (1994) Variability and trends of total precipitation and snowfall over the United States and Canada. J Clim 7:184–205CrossRefGoogle Scholar
  7. Groisman PY, Karl TR, Easterling DR, Knight RW, Jamason PF, Hennessy KJ, Suppiah R, Page CM, Wibig J, Fortuniak K (1999) Changes in the probability of heavy precipitation: important indicators of climatic change. Clim Chang 42:243–283CrossRefGoogle Scholar
  8. Groisman PY, Knight RW, Karl TR, Easterling DR, Sun B, Lawrimore JH (2004) Contemporary changes of the hydrological cycle over the contiguous United States: trends derived from in situ observations. J Hydrometeorol 5Google Scholar
  9. Groisman PY, Knight RW, Easterling DR, Karl TR, Hegerl GC, Razuvaev VN (2005) Trends in intense precipitation in the climate record. J Clim 18Google Scholar
  10. Groisman PY, Knight RW, Karl TR (2012) Changes in intense precipitation over the Central United States. J Hydrometeorol 13Google Scholar
  11. Held IM (1993) Large scale dynamics and global warming. Bull Am Meteorol Soc 74:228–241Google Scholar
  12. Held IM, Soden BJ (2006) Robust responses of the hydrological cycle to global warming. J Clim 19:5686–5699CrossRefGoogle Scholar
  13. Hosking JRM, Wallis JR (2005) Regional frequency analysis: an approach based on L-moments. Cambridge University Press, CambridgeGoogle Scholar
  14. Karl TR, Knight RW (1998) Secular trends of precipitation amount, frequency, and intensity in the United States. Bull Am Meteorol Soc 79:231–241CrossRefGoogle Scholar
  15. Karl TR, Groisman PY, Knight RW, Heim RR Jr (1993) Recent variations of snow cover and snowfall in North America and their relation to precipitation and temperature variations. J Clim 6:1327–1344CrossRefGoogle Scholar
  16. Kunkel KE (2003) North American trends in extreme precipitation. Nat Hazards 29:291–305CrossRefGoogle Scholar
  17. Kunkel KE, Karl TR, Easterling DR (2007) A Monte Carlo assessment of uncertainties in heavy precipitation frequency variations. J Hydrometeorol 8:1152–1160CrossRefGoogle Scholar
  18. Kunkel KE, Easterling DR, Kristovich DA, Gleason B, Stoecker L, Smith R (2012) Meteorological causes of the secular variations in observed extreme precipitation events for the conterminous United States. J Hydrometeorol 13Google Scholar
  19. Kunkel KE, Karl TR, Brooks H, Kossin J, Lawrimore JH, Arndt D, Bosart L, Changnon D, Cutter SL, Doesken N (2013) Monitoring and understanding trends in extreme storms: state of knowledge. Bull Am Meteorol Soc 94:499–514CrossRefGoogle Scholar
  20. Landsea CW (2005) Meteorology: hurricanes and global warming. Nature 438(7071):E11–E12Google Scholar
  21. Lanzante JR (1996) Resistant, robust and non-parametric techniques for the analysis of climate data: theory and examples, including applications to historical radiosonde station data. Int J Climatol 16:1197–1226CrossRefGoogle Scholar
  22. Mahajan S, North GR, Saravanan R, Genton MG (2012) Statistical significance of trends in monthly heavy precipitation over the US. Clim Dyn 38:1375–1387CrossRefGoogle Scholar
  23. McRoberts DB, Nielsen-Gammon JW (2011) A new homogenized climate 1 division precipitation dataset for analysis of climate variability and climate change. J Appl Meteorol Climatol 50:1187–1199CrossRefGoogle Scholar
  24. Mearns L, Giorgi F, McDaniel L, Shields C (1995) Analysis of daily variability of precipitation in a nested regional climate model: comparison with observations and doubled CO2 results. Glob Planet Chang 10:55–78CrossRefGoogle Scholar
  25. Meehl GA et al (2007) Climate change 2007: the physical basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 747–845Google Scholar
  26. Neykov N, Neytchev P, Van Gelder P, Todorov V (2007) Robust detection of discordant sites in regional frequency analysis. Water Resour Res 43(6)Google Scholar
  27. Nicholls N, Kariko A (1993) East Australian rainfall events: interannual variations, trends, and relationships with the southern oscillation. J Clim 6:1141–1152CrossRefGoogle Scholar
  28. Semenov V, Bengtsson L (2002) Secular trends in daily precipitation characteristics: greenhouse gas simulation with a coupled AOGCM. Clim Dyn 19:123–140CrossRefGoogle Scholar
  29. Solomon S (ed) (2007) Climate change 2007-the physical science basis: working group I contribution to the fourth assessment report of the IPCC, vol 4. Cambridge: Cambridge University PressGoogle Scholar
  30. Tank AK, Zwiers FW (2009) Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation. World Meteorological Organization, GenevaGoogle Scholar
  31. Todd M, Taylor R, Osborn T, Kingston D, Arnell N, Gosling S (2011) Uncertainty in climate change impacts on basin-scale freshwater resources-preface to the special issue: the QUEST-GSI methodology and synthesis of results. Hydrol Earth Syst Sci 15:1035–1046CrossRefGoogle Scholar
  32. Trenberth KE (1999) Conceptual framework for changes of extremes of the hydrological cycle with climate change. Weather and Climate Extremes. Springer, p 327–339Google Scholar
  33. Trenberth KE (2011) Changes in precipitation with climate change. Clim Res 47:123CrossRefGoogle Scholar
  34. Trenberth KE, Dai A, Rasmussen RM, Parsons DB (2003) The changing character of precipitation. Bull Am Meteorol Soc 84Google Scholar
  35. Walsh J, Wuebbles D, Hayhoe K, Kossin J, Kunkel K, Stephens G, Thorne P, Vose R, Wehner M, Willis J, Anderson D, Doney S, Feely R, Hennon P, Kharin V, Knutson T, Landerer F, Lenton T, Kennedy J, Somerville R (2014) Ch. 2: our changing climate. Climate change impacts in the United States: the third national climate assessment. In: Melillo JM, Richmond T, Yohe WG (eds) U.S. Global change research program, p 19–67. doi: 10.7930/J0KW5CXT
  36. Wilcox RR (2010) Fundamentals of modern statistical methods: substantially improving power and accuracy. SpringerGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Department of GeologyUniversity of DaytonDaytonUSA
  2. 2.School of Geographic and Oceanographic SciencesNanjing UniversityNanjingChina

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