Landscape Ecology

, Volume 27, Issue 3, pp 327–342 | Cite as

High-resolution climate change mapping with gridded historical climate products

  • Colin M. Beier
  • Stephen A. Signell
  • Aaron Luttman
  • Arthur T. DeGaetano
Research Article

Abstract

The detection of climate-driven changes in coupled human-natural systems has become a focus of climate research and adaptation efforts around the world. High-resolution gridded historical climate (GHC) products enable analysis of recent climatic changes at the local/regional scales most relevant for research and decision-making, but these fine-scale climate datasets have several caveats. We analyzed two 4 km GHC products to produce high-resolution temperature trend maps for the US Northeast from 1980 to 2009, and compared outputs between products and with an independent climate record. The two products had similar spatial climatologies for mean temperatures, agreed on temporal variability in regionally averaged trends, and agreed that warming has been greater for minimum versus maximum temperatures. Trend maps were highly heterogeneous, i.e., a patchy landscape of warming, cooling and stability that varied by month, but with local-scale anomalies persistent across months (e.g., cooling ‘pockets’ within warming zones). In comparing trend maps between GHC products, we found large local-scale disparities at high elevations and along coastlines; and where weather stations were sparse, a single-station disparity in input data resulted in a large zone of trend map disagreement between products. Preliminary cross-validation with an independent climate record indicated substantial and complex errors for both products. Our analysis provided novel landscape-scale insights on climate change in the US Northeast, but raised questions about scale and sources of uncertainty in high-resolution GHC products and differences among the many products available. Given rapid growth in their use, we recommend exercising caution in the analysis and interpretation of high-resolution climate maps.

Keywords

Temperature trends Climate maps Parameter Regression Independent Slopes Model (PRISM) North American Regional Reanalysis (NARR) Downscaling Climate adaptation 

Supplementary material

10980_2011_9698_MOESM1_ESM.pdf (12.3 mb)
Supplementary material 1 (PDF 12627 kb)

References

  1. Adrian R, O'Reilly CM, Zagarese H, Baines SB, Hessen DO, Keller W, Livingstone DM, Sommaruga R, Straile D, Van Donk E, Weyhenmeyer GA, Winder M (2009) Lakes as sentinels of climate change. Limnol Oceanogr 54:2283–2297Google Scholar
  2. Beckage B, Osborne B, Gavin DG, Pucko C, Siccama T, Perkins T (2009) A rapid upward shift of a forest ecotone during 40 years of warming in the Green Mountains of Vermont. Proc Natl Acad Sci USA 105(11):4197–4202Google Scholar
  3. Daly C (2006) Guidelines for assessing the suitability of spatial climate data sets. Int J Climatol 26:707–721CrossRefGoogle Scholar
  4. Daly C, Neilson RP, Phillips DL (1994) A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J Appl Meteorol 33:140–158CrossRefGoogle Scholar
  5. Daly C, Gibson WP, Taylor GH, Johnson GL, Pasteris PP (2002) A knowledge-based approach to statistical mapping of climate. Climate Res 22:99–113Google Scholar
  6. Daly C, Halbleib M, Smith JI, Gibson WP, Doggett MK, Taylor GH, Curtis J, Pasteris PP (2008) Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States. Int J Climatol. doi:10.1002/joc.1688
  7. DeGaetano AT, Belcher BN (2007) Spatial interpolation of daily maximum and minimum air temperature based on meteorological model analysis and independent observations. J Appl Meteorol Climatol 46:1981–1992CrossRefGoogle Scholar
  8. Di Luzio M, Johnson GL, Daly C, Eischeid JK, Arnold JG (2008) Constructing retrospective gridded daily precipitation and temperature datasets for the conterminous United States. J Appl Meteorol Climatol 47(2):475–494Google Scholar
  9. Frumhoff PC, McCarthy JJ, Melillo JM, Moser SC, Wuebbles DJ (2007) Confronting climate change in the US Northeast: science, impacts, and solutions. Synthesis report of the Northeast Climate Impacts Assessment (NECIA). Union of Concerned Scientists (UCS), Cambridge, MAGoogle Scholar
  10. Getis A, Ord JK (1992) The analysis of spatial associated by use of distance statistics. Geogr Anal 24(3):12–25Google Scholar
  11. Hayhoe K, Wake C, Anderson B, Lian X-Z, Maurer E, Zhu J, Bradbury J, DeGaetano A, Stoner AM, Wuebbles D (2007) Regional climate change projections for the Northeast USA. Mitig Adapt Strat Glob Change. doi:10.1007/s11027-007-9133-2
  12. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978Google Scholar
  13. Hodgkins GA, James IC, Huntington TG (2002) Historical changes in lake ice-out dates as indicators of climate change in New England, 1850–2000. Int J Climatol 22:1819–1827CrossRefGoogle Scholar
  14. Jarvis CH, Stuart N (2001) A comparison among strategies for interpolating maximum and minimum daily air temperatures. Part II: The interaction between number of guiding variables and the type of interpolation method. J Appl Meteorol 40:1075–1084CrossRefGoogle Scholar
  15. Kimball KD, Weihrauch DM (2000) Alpine vegetation communities and alpine-treeline ecotone boundary in New England as biomonitor for climate change. USDA Forest Service Proceedings RMRS-P-15-VOL-3Google Scholar
  16. Kirshen P, Watson C, Douglas E, Gontz A, Lee J, Tian Y (2007) Coastal flooding in the northeastern United States due to climate change. Mitig Adapt Strat Glob Change. doi:10.1007/s11027-007-9130-5
  17. Mahmood R, Foster SA, Logan D (2006) The GeoProfile metadata, exposure of instruments, and measurement bias in climatic record revisited. Int J Climatol 26:1091–1124CrossRefGoogle Scholar
  18. Mesinger F, DiMego G, Kalnay E, Mitchell K, Shafran PC, Ebisuzaki W, Jovic D, Woolen J, Rogers E, Berbery EH, Ek MB, Fan Y, Grumbine R, Higgins W, Li H, Lin Y, Manikin G, Parrish D, Shi W (2006) North American Regional Reanalysis. Bull Am Meteorol Soc 87:343–360Google Scholar
  19. Mitchell TD, Jones PD (2005) An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int J Climatol 25:693–712CrossRefGoogle Scholar
  20. Moran PAP (1950) Notes on continuous stochastic phenomena. Biometrika 37:17–23PubMedGoogle Scholar
  21. Parmesan C, Yohe G (2002) A globally coherent fingerprint of climate change impacts across natural systems. Nature 421:37–42CrossRefGoogle Scholar
  22. Pielke RA, Stohlgren T, Schell L, Parton W, Doesken N, Redmond K, Moeny J, McKee T, Kittel TGF (2002) Problems in evaluating regional and local trends in temperature: an example from eastern Colorado, USA. Int J Climatol 22:421–434Google Scholar
  23. R Development Core Team (2008) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org
  24. Rew RK, Davis GP (1990) NetCDF: an interface for scientific data access. IEEE Comput Graph Appl 10(4):76–82CrossRefGoogle Scholar
  25. Rew RK, Davis GP, Emmerson S, Davies H (2007) NetCDF C interface guide. Version 3.6.2. http://www.unidata.ucar.edu/netcdf/docs/netcdf-c/
  26. Rosenzweig C, Casassa G, Karoly DJ, Imeson A, Liu C, Menzel A, Rawlins S, Root TL, Seguin B, Tryjanowski P (2007) Assessment of observed changes and responses in natural and managed systems. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the fourth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK, pp 79–131Google Scholar
  27. Scott D, Dawson J, Jones B (2007) Climate change vulnerability of the US Northeast winter recreation-tourism sector. Mitig Adapt Strat Glob Change. doi:10.1007/s11027-007-9136-z
  28. Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63:1379–1389Google Scholar
  29. Simpson JJ, Hufford GL, Daly C, Berg JS, Fleming MD (2005) Comparing maps of mean monthly surface temperature and precipitation for Alaska and adjacent areas of Canada produced by two different methods. Arctic 58(2):137–161Google Scholar
  30. Thornton PE, Running SW, White MA (1997) Generating surfaces of daily meteorological variables over large regions of complex terrain. J Hydrol 190:214–251CrossRefGoogle Scholar
  31. Trenberth KE, Jones PD, Ambenje P, Bojariu R, Easterling D, Klein Tank A, Parker D, Rahimzadeh F, Renwick JA, Rusticucci M, Soden B, Zhai P (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, UK and New York, USAGoogle Scholar
  32. Wang T, Hamann A, Spittlehouse DL, Aitken SN (2006) Development of scale-free climate data for western Canada for use in resource management. Int J Climatol 26:383–397Google Scholar
  33. Wang H, Schubert S, Suarez M, Chen J, Hoerling M, Kumar A, Pegion P (2009) Attribution of the seasonality and regionality in climate trends over the United States during 1950–2000. J Climate 22:2571–2590Google Scholar
  34. Williams CN, Vose RS, Easterling DR, Menne MJ (2004) United States historical climatology network daily temperature, precipitation, and snow data. ORNL/CDIAC-118, NDP-070. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak RidgeGoogle Scholar
  35. Wood A, Leung LR, Sridhar V, Lettenmaier D (2004) Hydrologic implications of dynamical and statistical approaches to downscaling climate model surface temperature and precipitation fields. Clim Change 62:189–216CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Colin M. Beier
    • 1
  • Stephen A. Signell
    • 2
  • Aaron Luttman
    • 3
  • Arthur T. DeGaetano
    • 4
  1. 1.Department of Forest and Natural Resources Management, Adirondack Ecological CenterCollege of Environmental Science and Forestry, State University of New YorkSyracuseUSA
  2. 2.Adirondack Ecological CenterCollege of Environmental Science and Forestry, State University of New YorkNewcombUSA
  3. 3.Department of Mathematics and Computer ScienceClarkson UniversityPotsdamUSA
  4. 4.NOAA Northeast Regional Climate Center, Department of Earth and Atmospheric SciencesCornell UniversityIthacaUSA

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