reference : Improved Historical Temperature and Precipitation Time Series for U.S. Climate Divisions

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reftype Journal Article
Abstract This paper describes an improved edition of the climate division dataset for the conterminous United States (i.e., version 2). The first improvement is to the input data, which now include additional station networks, quality assurance reviews, and temperature bias adjustments. The second improvement is to the suite of climatic elements, which now includes both maximum and minimum temperatures. The third improvement is to the computational approach, which now employs climatologically aided interpolation to address topographic and network variability. Version 2 exhibits substantial differences from version 1 over the period 1895-2012. For example, divisional averages in version 2 tend to be cooler and wetter, particularly in mountainous areas of the western United States. Division-level trends in temperature and precipitation display greater spatial consistency in version 2. National-scale temperature trends in version 2 are comparable to those in the U.S. Historical Climatology Network whereas version 1 exhibits less warming as a result of historical changes in observing practices. Divisional errors in version 2 are likely less than 0.5C for temperature and 20 mm for precipitation at the start of the record, falling rapidly thereafter. Overall, these results indicate that version 2 can supersede version 1 in both operational climate monitoring and applied climatic research.
Author Vose, R. S.; Applequist, S.; Squires, M.; Durre, I.; Menne, M. J.; Williams, C. N.; Fenimore, C.; Gleason, K.; Arndt, D.
ISSN 1558-8432
Issue 5
Journal Journal of Applied Meteorology and Climatology
Keywords Climate change, Climatology, Surface observations, Interpolation schemes
Pages 1232-1251
Title Improved Historical Temperature and Precipitation Time Series for U.S. Climate Divisions
Type of Article Article
Volume 53
Year 2014
doi 10.1175/JAMC-D-13-0248.1
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.reference_type 0
_uuid 3d9da69e-293a-4492-a418-682590c676c7