An Observation Study for Cold and Freezing Injury of Sugarcane Based on China Meteorological Administration Land Data Assimilation System, CLDAS Temperature Data
- 1 Guangxi Institute of Meteorological Sciences, Nanning, China
- 2 College of Resources and Environmental Sciences, China Agricultural University, Beijing, China
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.
DOI: https://doi.org/10.3844/ajbbsp.2023.327.335
Copyright: © 2023 Yanli Chen, Yongming Luo, Ying Xie and Zhaomin Kuang. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Cold and Freezing Injury
- Sugarcane
- CLDAS
- Temperature Correction