Chris Funk
Pete Peterson
Martin Landsfeld
Cascade Tuholske
Kathryn Grace
Andrew Verdin
2020
<p><span>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 </span><i>in situ</i><span> 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.</span></p>
application/pdf
10.1038/s41597-020-00643-7
en
Nature Publications
Development and validation of the CHIRTS-daily quasi-global high-resolution daily temperature data set
article