Theoretical and Applied Climatology

, Volume 96, Issue 1–2, pp 173–177 | Cite as

Spuriously induced precipitation trends in the southeast United States

  • Jason Allard
  • Barry D. Keim
  • Jessica E. Chassereau
  • David Sathiaraj
Original Paper


This study uses correlation and multiple regression techniques to document differences in annual and seasonal precipitation trends between the NCDC Climate Division database and the United States Historical Climate Network (USHCN) in the southeast United States. Findings indicate that the majority of climate divisions have different temporal patterns than those depicted by the USHCN. They did not, however, consistently possess statistically significant relationships between the ratio (CDD/USHCN) and changes in mean station location as noted in other studies. It appears that other influences cause the majority of the variance between the two datasets. The fact that the two datasets do not consistently agree, however, suggests that spuriously induced trends may be present in the NCDC Climate Division database.


Station Movement Precipitation Trend Opposing Trend National Climatic Data Center Divisional Data 
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  1. Allard J, Keim BD (2007) Spuriously induced temperature trends in the southeast United States. Theor Appl Climatol 88:103–110CrossRefGoogle Scholar
  2. Diem JE, Mote TL (2005) Interepochal changes in summer precipitation in the southeastern United States: evidence of possible urban effects near Atlanta, Georgia. J Appl Meteorol 44:717–730CrossRefGoogle Scholar
  3. Easterling DR, Karl TR, Mason EH, Hughes PY, Bowman DR, Daniels RC, Boden TA (1996) United States historical climatology network (U.S. HCN) monthly temperature and precipitation data. Oak Ridge, Tenn: ESD Publ. 4500, ORNL/CDIAC-87 NDP-019/R3Google Scholar
  4. Gutman NB, Quayle TB (1996) A historical perspective of U.S. Climate divisions. Bull Am Meteorol Soc 77:293–303Google Scholar
  5. Karl TR, Williams Jr CN, Young PJ, Wendland WM (1986) A model to estimate the time of observation bias with monthly mean maximum, minimum, and mean temperatures for the United States. J Clim Appl Meteorol 25:145–160CrossRefGoogle Scholar
  6. Karl TR, Diaz HF, Kukla G (1988) Urbanization: its detection and effect in the United States climate record. J Clim 1:1099–1123CrossRefGoogle Scholar
  7. Karl TR, Knight RW, Easterling DR, Quayle RG (1996) Indices of climate change for the United States. Bull Am Meteorol Soc 77:279–292CrossRefGoogle Scholar
  8. Karl TR, Williams Jr CW (1987) An approach to adjusting climatological time series for discontinuous inhomogeneities. J Clim Appl Meteorol 26:1744–1763CrossRefGoogle Scholar
  9. Keim BD Faiers GE, Muller RA, Grymes III JM, Rohli RV (1996) Long-term trends in precipitation and runoff in Louisiana. Int J Climatol 15:279–292Google Scholar
  10. Keim BD, Fisher MR, Wilson AM (2005) Are there spurious precipitation trends in the United States climate division database? Geophys Res Lett 32(4), L04702, DOI  10.1029/2004GL021985 CrossRefGoogle Scholar
  11. Keim BD, Wilson AM, Wake CP, Huntington TG (2003) Are there spurious temperature trends in the United States Climate Division Database? Geophys Res Lett 30(7), 1404, DOI  10.1029/2002GL016295 CrossRefGoogle Scholar
  12. Leathers DJ, Grundstein AJ, Ellis AW (2000) Growing season moisture deficits across the northeastern United States. Clim Res 14:43–55CrossRefGoogle Scholar
  13. Muller RA, Keim BD, Hoff JL (1990) Application of climatic divisional data to flood interpretations: an example from Louisiana. Phys Geogr 11:353–362Google Scholar
  14. Quayle RG, Easterling DR, Karl TR, Hughes PY (1991) Effects of recent thermometer changes in the cooperative station network. Bull Am Meteorol Soc 72:1718–1724CrossRefGoogle Scholar
  15. Southeast Regional Assessment Team (2002) Preparing for a changing climate: the potential consequences of climate variability and change–Southeast. U.S. Global Change ProgramGoogle Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Jason Allard
    • 1
  • Barry D. Keim
    • 2
  • Jessica E. Chassereau
    • 3
  • David Sathiaraj
    • 4
  1. 1.South Carolina Office of State ClimatologyColumbiaUSA
  2. 2.Louisiana Office of State ClimatologyLouisiana State UniversityBaton RougeUSA
  3. 3.Engineering DivisionCity of Columbia Utilities and EngineeringColumbiaUSA
  4. 4.Southern Regional Climate Center Louisiana State UniversityBaton RougeUSA

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