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Climate trends in indices for temperature and precipitation across New York State, 1948–2008


New York State (NYS) is a geographically diverse area susceptible to climate change, but trends in climate extreme indicators have not been extensively studied. Our objectives are to describe temporal and spatial trends in various extreme indicators and their sensitivity to climate change and to demonstrate geographic differences in indicator trends in NYS. We analyzed data from the US Historical Climatology Network for NYS from 1948 to 2008. We assessed trends in 15 temperature and 11 precipitation indicators using linear regression with bootstrapping in SAS and RClimDex software. The indicators showing the most substantial change per decade were frost days (−0.97 days per decade) and diurnal temperature (−0.11°C). For precipitation indicators, the number of heavy precipitation days (+0.99 days), consecutive wet days (+ 0.42 days), the total wet day precipitation (+30.19 mm), and the simple daily intensity index (+0.18 mm/day) showed the most change per decade. The most representative indicators that showed significant trends for more than half of the stations were number of cool nights, diurnal temperature, and number of frost days and increase in total wet day precipitation and simple daily intensity index for precipitation. The most sensitive regions for changes in extreme indicators were the eastern and Great Lakes regions of NYS. In light of these consistent temporal trends of warming and increasing precipitation in NYS with large geographic variation, the indicators that have been identified should be further evaluated and assessed for their health impact. Geographical differences in climate trends may be of use in informing policy and resource allocation for climate change adaptation.

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  1. Alexander LV, Zhang X, Peterson TC et al. (2006) Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res 111:D05109. doi:10.1029/2005JD006290

  2. Bacon RM, Kugeler KJ, Mead PS, Centers for Disease Control and Prevention (2008) Surveillance for Lyme disease—United States, 1992–2006. MMWR Surveill Summ 57(10):1–9

    Google Scholar 

  3. Beggs PJ, Bambrick HJ (2005) Is the global rise of asthma an early impact of anthropogenic climate change? Environ Health Perspect 113(8):915–919

    Article  CAS  Google Scholar 

  4. Brown PJ, Bradley RS, Keimig FT (2010) Changes in extreme climate indices for the northeastern United States, 1870–2005. J Clim 23:6555–6572

    Article  Google Scholar 

  5. Brownstein JS, Holford TR, Fish D (2003) A climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United States. Environ Health Perspect 111(9):1152–1157

    Article  Google Scholar 

  6. Curriero FC, Patz JA, Rose JB et al (2001) The association between extreme precipitation and waterborne disease outbreaks in the United States, 1948–1994. Am J Publ Health 91(8):1194–1199

    Article  CAS  Google Scholar 

  7. DeGaetano AT, Allen RJ (2002) Trends in twentieth-century temperature extremes across the United States. J Climate 15(22):3188–3205

    Article  Google Scholar 

  8. dos Santos CAC, Neale CMU, Rao TVR et al (2011) Trends in indices for extremes in daily temperature and precipitation over Utah, USA. Int J Climatol 31:1813–1822

    Article  Google Scholar 

  9. Drayna P, McLellan SL, Simpson P et al (2010) Association between rainfall and pediatric emergency department visits for acute gastrointestinal illness. Environ Health Perspect 118(10):1439–1443

    Article  Google Scholar 

  10. Frich P, Alexander LV, la-Marta P et al (2002) Observed coherent changes in climatic extremes during the second half of the twentieth century. Climate Res 19(3):193–212

    Article  Google Scholar 

  11. Frumhoff PC, McCarthy JJ, Melillo JM et al (2008) An integrated climate change assessment for the Northeast United States. Mitigation and Adaptation Strategies for Global Change 13(5–6):419–423

    Article  Google Scholar 

  12. Griffiths ML, Bradley RS (2007) Variations of twentieth-century temperature and precipitation extreme indicators in the northeast United States. J Clim 20(21):5401–5417

    Article  Google Scholar 

  13. Hunter PR (2003) Climate change and waterborne and vector-borne disease. J Appl Microbiol 94:37S–46S

    Article  Google Scholar 

  14. Kiktev D, Sexton DMH, Alexander L et al (2003) Comparison of modeled and observed trends in indices of daily climate extremes. J Climatol 16(22):3560–3571

    Article  Google Scholar 

  15. Mahmood R, Hubbard KG, Carlson C (2004) Modification of growing-season surface temperature records in the northern great plains due to land-use transformation: verification of modelling results and implication for global climate change. Int J Climatol 24(3):311–327

    Article  Google Scholar 

  16. New M, Hewitson B, Stephenson DB et al. (2006) Evidence of trends in daily climate extremes over southern and west Africa. J Geophys Res Atmos 111:D14102. doi:10.1029/2005JD006289

  17. Nicholls N, Alexander L (2007) Has the climate become more variable or extreme? Progress 1992–2006. Prog Phys Geogr 31(1):77–87

    Article  Google Scholar 

  18. Peterson TC, Zhang XB, Brunet-India M et al. (2008) Changes in North American extremes derived from daily weather data. J Geophys Res Atmos 113:D07113. doi:10.1029/2007JD009453

  19. Tank AMGK, Wijngaard JB, Konnen GP et al (2002) Daily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment. Int J Climatol 22(12):1441–1453

    Article  Google Scholar 

  20. Tank AMGK, Peterson TC, Quadir DA et al. (2006) Changes in daily temperature and precipitation extremes in central and south Asia. J Geophys Res Atmos 111(D16)

  21. Tank AMGK, Zwiers FW, Zhang X (2009) Guidelines on Analysis of extremes in a changing climate in support of informed decisions for adaptation. WMO-TD No. 1500:1–56

  22. Thomas KM, Charron DF, Waltner-Toews D et al (2006) A role of high impact weather events in waterborne disease outbreaks in Canada, 1975–2001. Int J Environ Health Res 16(3):167–180

    Article  Google Scholar 

  23. Trenberth KE, Jones PD, Ambenje P et al. (2007) Observations: surface and atmospheric climate change. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds.) Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA

  24. von Storch H and Zwiers FW (1999) Statistical Analysis in Climate Research 484

  25. Williams CN, Vose RS, Easterling DR et al. (2006) United States historical climatology network daily temperature, precipitation, and snow data. ORNL/CDIAC-118, NDP-070 Oak Ridge, Tenn : Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory

  26. World Meteorological Organization (2010) WMO statement on the status of the global climate in 2009 1055

  27. Zhang XB, Yang F (2004) RClimDex (1.0) User Manual 1–23

  28. Zhang XB, Hegerl G, Zwiers FW et al (2005) Avoiding inhomogeneity in percentile-based indices of temperature extremes. J Climatol 18(11):1641–1651

    Article  Google Scholar 

  29. Zhang X, Zwiers FW, Hegerl G (2009) The influences of data precision on the calculation of temperature percentile indices. Int J Climatol 29(3):321–327

    Article  Google Scholar 

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We thank Barbara Fletcher for her help in drafting of the manuscript. This research study was supported in part by grant #5U01EH000396-01 (NY) National Center for Environmental Health, Center for Disease Control and grant # 5U38EH000184-05 National Environmental Public Health Tracking Program, Centers for Disease Control and Prevention. The meteorological data were provided by the National Center for Atmospheric Research which is supported by grants from the National Science Foundation.

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Correspondence to T. Z. Insaf.


Appendix A1

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Appendix A2

Table 4 Station changes for New York State by climate division (1948–2008)

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Insaf, T.Z., Lin, S. & Sheridan, S.C. Climate trends in indices for temperature and precipitation across New York State, 1948–2008. Air Qual Atmos Health 6, 247–257 (2013).

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  • Climate change
  • Extremes
  • Temperature
  • Precipitation
  • Trend indicators