An Assessment of HIRS Surface Air Temperature with USCRN Data
AbstractThe surface air temperature retrievals from the High Resolution Infrared Radiation Sounder (HIRS) are evaluated by using observations from the U.S. Climate Reference Network (USCRN) for the period of 2006 to 2013. One year of the USCRN data is also used as ground truth in calibrating retrieval biases. The final retrieval results show that mean biases of HIRS retrievals from comparisons to all surface stations for each year are mostly in the range of ±0.2 °C, and the root mean square difference (RMSD) values are 3.2–3.5 °C. Results for biases of individual stations are mostly within ±2 °C. In average, RMSDs are smaller over the eastern U.S. than over the western U.S., smaller at nighttime than at daytime, and smaller at lower elevations. The comparison patterns are consistent from year to year and for different satellites, showing the potential of HIRS data for long-term studies. View Full-Text
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Stegall, S.T.; Shi, L. An Assessment of HIRS Surface Air Temperature with USCRN Data. Remote Sens. 2016, 8, 485.
Stegall ST, Shi L. An Assessment of HIRS Surface Air Temperature with USCRN Data. Remote Sensing. 2016; 8(6):485.Chicago/Turabian Style
Stegall, Steve T.; Shi, Lei. 2016. "An Assessment of HIRS Surface Air Temperature with USCRN Data." Remote Sens. 8, no. 6: 485.
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