检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:刘桨 马军 林健玲 李艳萍 黄洁 李叶晴 LIU Jiang;MA Jun;LIN Jianling;LI Yanping;HUANG Jie;LI Yeqing(Guangxi Meteorological Information Center,Guangxi Meteorological Big Data Open Laboratory,Nanning 530022)
机构地区:[1]广西壮族自治区气象信息中心,广西气象大数据开放大数据实验室,南宁530022
出 处:《气象科技》2025年第2期177-190,共14页Meteorological Science and Technology
基 金:广西气象科研计划项目(桂气科2023QN04)资助。
摘 要:为评估风云4号A星(FY-4A)地表温度(LST)产品在广西地区的精度和适用性,将FY-4A LST产品与中分辨率成像光谱仪(MODIS)LST产品以及基于台站温度计和热红外辐射计实测的地表温度进行比较。评价两套遥感LST产品的差异程度及其与地表状况的潜在关系;分析FY-4A LST产品与地面观测地表温度的一致性;利用标准化距平评估FY-4A LST产品和站点地温对高温、寒潮过程的监测能力。结果表明:FY-4A LST与MODIS LST平均差异在2℃左右,较大差异出现在海拔较高和树木覆盖稀疏的区域,两者之间的时间序列相关系数在大部分区域超过0.9。FY-4A LST产品同时也与两种地面观测的LST在时间变化上具有较好的一致性,但由于观测方法的差异导致FY-4A LST产品较地面观测的LST存在系统性的低估偏差,特别是在日间下午。在极端天气过程中,FY-4A LST产品与站点地温的标准化距平具有密切的时空关系,能够监测到异常的温度信号。Land surface temperature(LST)plays a critical role in the water cycle and energy balance at global and regional scales.Large-scale LST estimates can be obtained from satellite observations;however,there are still uncertainties and challenges in the applicability of LST retrieval based on satellite data.In this study,to assess the accuracy and applicability of LST products from the Advanced Geostationary Orbit Radiation Imager(AGRI)based on the Fengyun-4A(FY-4A)satellite in the Guangxi region,the FY-4A LST products are compared with the Moderate Resolution Imaging Spectrometer(MODIS)LST products,the surface temperature(0 cm)observed by 91 meteorological stations,and the surface temperature measured by a thermal infrared radiometer.By calculating statistical indicators such as bias,root mean square error,and correlation coefficient,the difference between two sets of remote sensing LST products and their potential relationship with surface conditions are comprehensively analysed,and the consistency between FY-4A LST products and ground-observed LST is deeply evaluated.In addition,a standardised anomaly analysis method is used to evaluate the monitoring ability of FY-4A LST products and station-observed LST on high-temperature and cold-wave events.The results show that the average difference in temperature between FY-4A LST and MODIS LST is about 2℃,and significant differences occur in areas with high elevation and sparse tree coverage.The correlation coefficients of the time series between FY-4A LST and MODIS LST exceed 0.9 in most areas.It is also found that there is a good consistency in temporal change between the FY-4A LST products and the LST obtained by the two ground observations.However,the FY-4A LST products exhibit systematic underestimation bias compared with the ground-observed LST due to the difference in observation methods,especially in the afternoon.Based on case analyses of extreme weather events such as high temperatures and cold waves,the FY-4A LST products have a close temporal and spatial rela
分 类 号:P405[天文地球—大气科学及气象学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.33