An Observation Study for Cold and Freezing Injury of Sugarcane Based on China Meteorological Administration Land Data Assimilation System, CLDAS Temperature Data

Abstract

Based on the China meteorological administration Land Surface Data Assimilation System (CLDAS), the CLDAS temperature product is examined and analyzed using remote sensing information, and a revised temperature model is established for the monitoring and evaluation of sugarcane chilling and freezing damage. The results show that: (1) The CLDAS temperature products are highly positively correlated with the measured temperatures of the stations; the correlation coefficients are all higher than 0.9; the root-mean-square error is1.5-2°C; the average absolute deviations are 1-1.5°C and the average relative deviation is 0-0.5°C; (2) The root-mean-square error between the revised CLDAS temperature and the measured temperature is less than 1 u; the average absolute deviation is less than 0.7 a and the average relative deviation change is less than 0.5 d, indicating that the revised CLDAS temperatures are close to the measured values and the fitting effect is particularly optimal in the low-temperature regions; (3). The revised CLDAS model is used to monitor and evaluate the cold and freezing injury of sugarcane in typical years. The results are basically consistent with the actual survey and can significantly improve the accuracy.