Accurate estimations of evapotranspiration(ET)are essential for understanding land-atmosphere coupling and atmosphere-underlying surface energy and water vapor exchanges.Based on input data processing,this paper simul...Accurate estimations of evapotranspiration(ET)are essential for understanding land-atmosphere coupling and atmosphere-underlying surface energy and water vapor exchanges.Based on input data processing,this paper simulates the temporal and spatial variation of ET in the Dajiuhu Basin from 1990 to 2018 using the BEPS-Terrain Lab V2.0 model.Compared with the ET measured by an eddy covariance(EC)tower,the model explained 80.1%of the ET variation.From 1990 to 2018,the average annual ET in the Dajiuhu Basin was 1262.7 mm/yr indicating a downward trend(–27.12 mm/yr).In 2005,a sudden change point was observed based on the Mann-Kendall(MK)test and 3-year moving t-test.Around 2005,the downward trend in ET slowed and the proportional trend of ET to precipitation changed from upward trend to downward trend.Regarding spatial distribution,the ET in the basin’s central part was smaller than that in the basin’s surrounding area,the ET of the southern slope was higher than that of the northern slope,and the decrease in the ET rate on the sunny side was lower than that on the shady side.ET decreased as the elevation increased,with the fastest decrease observed between 2184 and 2384 m.For different landcover types,the average ET exhibited the following order:deciduous forest>mixed forest>wetland>grass>agriculture land.Decreased solar radiation is the main reason for the decreased ET in the Dajiuhu Basin,followed by increased wind speed and relative humidity,which together contribute 83.9%to the ET trend.This paper provides a theoretical basis for the study of ET changes and the mechanism of ET and provides a decision-making reference for water resource management in the Dajiuhu Basin and even the South-to-North Water Transfer Project.展开更多
为提高冰雹探测算法(Hail Detection Algorithm, HDA)产品的可用性,针对2015—2020年普洱地区监测到的22次冰雹个例,利用新一代雷达业务应用软件ROSE2.0对相关雷达基数据进行回放及产品分析,以命中率、虚警率、临界成功指数为指标对HDA...为提高冰雹探测算法(Hail Detection Algorithm, HDA)产品的可用性,针对2015—2020年普洱地区监测到的22次冰雹个例,利用新一代雷达业务应用软件ROSE2.0对相关雷达基数据进行回放及产品分析,以命中率、虚警率、临界成功指数为指标对HDA算法在普洱地区的识别效果进行评估并给出本地化参数配置方案。结果表明:HDA算法在普洱地区命中率接近100%,但虚警现象非常普遍,使用强冰雹概率(Probability of Severe Hail, POSH)的预警效果优于任意大小冰雹概率(Probability of Hail, POH),且冰雹尺寸越大POSH虚警的概率越低。进一步使用模拟测评法对POSH算法的适配参数进行分析,发现正确输入降雹日当天的0℃层和-20℃层高度能有效减少POSH的虚警率及提高临界成功指数;同时使算法预测的最大冰雹直径普遍偏大的情况得到控制,其中,中小冰雹直径偏离百分比减小76.07%,改善效果显著高于大冰雹。此外,增大反射率因子及POSH阈值能有效控制虚警,但也导致漏报次数快速增加,当阈值太大时命中率明显降低,为了保证较高的命中率和临界成功指数,选择Z=50 dBz或POSH=70%为阈值能明显改善HDA算法的识别效果。展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41201429)Independent Research Funds of the State Key Laboratory of Biogeology and Environmental Geology(No.GKZ17Y651)Fundamental Research Funds of Geological Processes,Resources and Environment in the Yangtze Basin(No.CUGCJ1808)。
文摘Accurate estimations of evapotranspiration(ET)are essential for understanding land-atmosphere coupling and atmosphere-underlying surface energy and water vapor exchanges.Based on input data processing,this paper simulates the temporal and spatial variation of ET in the Dajiuhu Basin from 1990 to 2018 using the BEPS-Terrain Lab V2.0 model.Compared with the ET measured by an eddy covariance(EC)tower,the model explained 80.1%of the ET variation.From 1990 to 2018,the average annual ET in the Dajiuhu Basin was 1262.7 mm/yr indicating a downward trend(–27.12 mm/yr).In 2005,a sudden change point was observed based on the Mann-Kendall(MK)test and 3-year moving t-test.Around 2005,the downward trend in ET slowed and the proportional trend of ET to precipitation changed from upward trend to downward trend.Regarding spatial distribution,the ET in the basin’s central part was smaller than that in the basin’s surrounding area,the ET of the southern slope was higher than that of the northern slope,and the decrease in the ET rate on the sunny side was lower than that on the shady side.ET decreased as the elevation increased,with the fastest decrease observed between 2184 and 2384 m.For different landcover types,the average ET exhibited the following order:deciduous forest>mixed forest>wetland>grass>agriculture land.Decreased solar radiation is the main reason for the decreased ET in the Dajiuhu Basin,followed by increased wind speed and relative humidity,which together contribute 83.9%to the ET trend.This paper provides a theoretical basis for the study of ET changes and the mechanism of ET and provides a decision-making reference for water resource management in the Dajiuhu Basin and even the South-to-North Water Transfer Project.
文摘为提高冰雹探测算法(Hail Detection Algorithm, HDA)产品的可用性,针对2015—2020年普洱地区监测到的22次冰雹个例,利用新一代雷达业务应用软件ROSE2.0对相关雷达基数据进行回放及产品分析,以命中率、虚警率、临界成功指数为指标对HDA算法在普洱地区的识别效果进行评估并给出本地化参数配置方案。结果表明:HDA算法在普洱地区命中率接近100%,但虚警现象非常普遍,使用强冰雹概率(Probability of Severe Hail, POSH)的预警效果优于任意大小冰雹概率(Probability of Hail, POH),且冰雹尺寸越大POSH虚警的概率越低。进一步使用模拟测评法对POSH算法的适配参数进行分析,发现正确输入降雹日当天的0℃层和-20℃层高度能有效减少POSH的虚警率及提高临界成功指数;同时使算法预测的最大冰雹直径普遍偏大的情况得到控制,其中,中小冰雹直径偏离百分比减小76.07%,改善效果显著高于大冰雹。此外,增大反射率因子及POSH阈值能有效控制虚警,但也导致漏报次数快速增加,当阈值太大时命中率明显降低,为了保证较高的命中率和临界成功指数,选择Z=50 dBz或POSH=70%为阈值能明显改善HDA算法的识别效果。