CHIRTSmax is based of three main inputs (similar to our CHIRPS product): 1) a high resolution 0.05 degree monthly climatology (CHTclimmax) capturing spatial variability, 2) GeoSat IR data that captures the temporal variability and 3) available ground observations of Tmax.
1) Filter Geostationary IR data to screen out clouds
2) Calculate monthly averages of geostationary cloud-screened IR data (IRTmax)
3) Create high resolution 0.05 degree Tmax climatology (CHTclimmax)
4) Translate IR brightness temperature anomalies into estimates of 2m Tmax anomalies
5) Add these anomalies to the CHTclim to create satellite-based estimates of Tmax air temperatures (CHIRTmax)
6) Blend in station anomalies with CHIRTmax to make CHIRTSmax
The resulting CHIRTSmax is a 0.05x0.05 degree land Tmax product from 70N to 60S, from 1983 to 2016.
Future products will use the CPC IR data to produce a CHIRTSmax with latency of about 3-7 weeks.
We expect to produce a Tmin climate data record later this year.
The methodology, results and validations will be presented.