摘要
地表温度是地表物理过程的重要参数,微波遥感是有云情况下获取地表温度信息的主要方法之一,本研究基于XGBoost模型,利用FY-3D/MWRI亮温数据,构建青海高原LST估算模型,对比分析该模型在典型洪涝和干旱过程的表现,并与现有业务产品进行对比。结果表明:该模型能较好地反映青海高原2个低温区和2个高温区,在洪涝和干旱过程中该模型表现稳定;XGBoost模型结果具有较高精度,与CLDAS地表温度产品相比,相关系数r偏高0.12、均方根误差RMSE偏低3.8 K、平均绝对误差MAE偏低3.2 K,说明XGBoost模型在青海高原地表温度反演中具有一定优势。
Surface temperature is an important parameter in surface physical processes,and microwave remote sensing is one of the main methods for obtaining surface temperature information under cloud conditions.This study is based on the XGBoost model and uses FY-3D/MWRI brightness temperature data to construct an LST estimation model for the Qinghai Plateau.The performance of this model in typical flood and drought processes is compared and analyzed,and compared with existing business products.The results indicate that the model can well reflect the two low-temperature and two high-temperature regions of the Qinghai Plateau,and it performs stably during floods and droughts.The XGBoost model results have high accuracy.Compared with the CLDAS surface temperature product,the correlation coefficient r is higher by 0.12,the root mean square error RMSE is lower by 3.8 K,and the average absolute error MAE is lower by 3.2 K,indicating that the XGBoost model results have certain advantages in surface temperature inversion on the Qinghai Plateau.
作者
辛萍萍
沈菊
田媛
尚伟邦
Xin Pingping;Shen Ju;Tian Yuan;Shang Weibang(Dachaidan Administrative Committee Meteorological Bureau of Qinghai Province,Haixi Prefecture 817000;Haixi Prefecture Meteorological Bureau of Qinghai Province,Haixi Prefecture 817100)
出处
《气象水文海洋仪器》
2025年第6期86-88,93,共4页
Meteorological,Hydrological and Marine Instruments
基金
青海省防灾减灾重点实验室开放基金项目(QFZ-2024-M20)。
