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


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.


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



We thank the PRISM group for providing free access to their 4 km products and the University Consortium of Atmospheric Research (UCAR) for providing the Integrated Data Viewer (IDV). We also thank D. Bishop, R. Signell, B. Belcher and J. Wiley for assistance with data compilation and analysis. This research was supported by the National Aeronautic and Space Administration Biodiversity Program (#NNX09AK16G) and the USDA-CSREES McIntire-Stennis Cooperative Forestry Program.

Supplementary material

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


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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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