Full Citation
Title: Development and validation of the CHIRTS-daily quasi-global high-resolution daily temperature data set
Citation Type: Journal Article
Publication Year: 2020
ISBN:
ISSN: 2052-4463
DOI: 10.1038/s41597-020-00643-7
NSFID:
PMCID:
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Abstract: <p> We present a high-resolution daily temperature data set, CHIRTS-daily, which is derived by merging the monthly Climate Hazards center InfraRed Temperature with Stations climate record with daily temperatures from version 5 of the European Centre for Medium-Range Weather Forecasts Re-Analysis. We demonstrate that remotely sensed temperature estimates may more closely represent true conditions than those that rely on interpolation, especially in regions with sparse <italic>in situ</italic> data. By leveraging remotely sensed infrared temperature observations, CHIRTS-daily provides estimates of 2-meter air temperature for 1983–2016 with a footprint covering 60°S-70°N. We describe this data set and perform a series of validations using station observations from two prominent climate data sources. The validations indicate high levels of accuracy, with CHIRTS-daily correlations with observations ranging from 0.7 to 0.9, and very good representation of heat wave trends. </p>
Url: http://www.nature.com/articles/s41597-020-00643-7
User Submitted?: No
Authors: Verdin, Andrew; Funk, Christopher C.; Peterson, Pete; Landsfeld, Martin; Tuholske, Cascade; Grace, Kathryn
Periodical (Full): Scientific Data
Issue: 1
Volume: 7
Pages: 303
Countries: