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Citeable URL: http://ir.library.oregonstate.edu/concern/articles/q524jt41s

This is the publisher’s final pdf. The article is copyrighted by the Royal Meteorological Society and published by John Wiley & Sons Ltd. It can be found at:  http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291097-0088.

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Creator	Sharp, Kendra V. Mosier, Thomas M. Hill, David F.
Abstract or Summary	Monthly total precipitation and mean temperature climate surfaces, gridded to 30-arcseconds (≈1 km at the equator) and available for all global land areas, are presented. These datasets are generated with a Delta downscaling method, using the 30-arcsecond WorldClim climatologies to scale monthly anomaly grids. For monthly mean temperature, the anomalies are constructed from both the Climate Research Unit (CRU) and Willmott & Matsuura (W&M) 0.5 degree time-series datasets, whereas for monthly precipitation Global Precipitation Climatology Centre (GPCC) data are also used. The 0.5 degree anomalies are then interpolated to the 30-arcsecond resolution. Use of piecewise cubic Hermite interpolating polynomials (PCHIP) to interpolate the anomaly grids results in more physically representative Delta downscaled surfaces, compared to bilinear and cubic spline interpolation. The Delta downscaled products are compared to Global Historical Climatology Network (GHCN) station records for six test regions distributed globally. In this analysis, the Delta grids produced using the W&M time-series dataset perform better than grids produced using GPCC or CRU. Using Oregon, USA as a test region, the Delta downscaled datasets are compared to the Parameter-elevation Regressions on Independent Slopes Model (PRISM) datasets. For monthly precipitation, PRISM performs better than each of the three Delta downscaled datasets, but for mean temperature both Delta downscaled datasets outperform PRISM. Through computing the Pearson product–moment correlation coefficient between GHCN station delineated errors in the WorldClim climatologies and the Delta downscaled W&M data, it is shown that performance of the Delta grids corresponds strongly to performance of the reference climatologies. Therefore, future improvement of the 30-arcsecond Delta grids described in this article is strongly tied to advances in the high-resolution climatological data for all global land surfaces. The Delta downscaled datasets discussed herein are open-source and freely distributed at http://www.globalclimatedata.org.
Resource Type	Article
DOI	10.1002/joc.3829
Date Available	2016-09-18T08:00:08+00:00
Date Issued	2013-09-18
Citation	Mosier, T. M., Hill, D. F. and Sharp, K. V. (2014). 30-Arcsecond monthly climate surfaces with global land coverage. International Journal of Climatology, 34: 2175–2188. doi:10.1002/joc.3829
Journal Title	International Journal of Climatology
Journal Volume	34
Journal Issue/Number	7
Keyword	downscaling mean temperature monthly time-series high resolution precipitation global climate data
Rights Statement	Copyright Not Evaluated
Funding Statement (additional comments about funding)	The authors would like to thank the National Science Foundation (award No. 1137272) and the Glumac Faculty Fellowship for contributing funding to this project.
Publisher	John Wiley & Sons Ltd.
Peer Reviewed	Yes
Language	English [eng]
Replaces	http://hdl.handle.net/1957/50859

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