This paper proposes an index of land-sea thermal difference(ILSTD)that describes its zonal and meridional strength responsible for East Asian monsoon circulation to study its relation to the East Asian monsoon circula...This paper proposes an index of land-sea thermal difference(ILSTD)that describes its zonal and meridional strength responsible for East Asian monsoon circulation to study its relation to the East Asian monsoon circulation and the summer rainfall over China on an interannual basis.Results are as follows:(1)ILSTD can be used to measure the strength of East Asian summer monsoon in such a way that the strong(weak)ILSTD years are associated with strong(weak)summer monsoon circulation.(2)The index also reflects well summer rainfall anomaly over the eastern part of China. In the strong index years,rain belt is mainly located over the northern China,and serious drought emerges in the Jianghuai valleys and mid-lower reaches of the Changjiang River,along with increase of rainfall in North and South China,but in the weak years it is contrary.(3)Besides,the index has obvious QBO and quasi 4-year oscillations,but the periods and amplitudes have significant changes on an interdecadal basis.展开更多
Using a monthly precipitation dataset of 160 stations over China and a daily and monthly National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis dataset from 1961 ...Using a monthly precipitation dataset of 160 stations over China and a daily and monthly National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis dataset from 1961 to 2006, we here define an East Asian land-sea atmospheric heat source difference index ILSQD and investigate its relationship to summer rainfall in China and East Asian general circulation. The results show that ILSQD more closely reflects the anomalous variations in summer monsoon phenomena; in the high-index (HI) cases, the strong low-level southerlies over East China and the strong high-level westerlies over middle latitudes indicate an active summer monsoon, and vice versa in the low-index (LI) cases. This index also reflects summer rainfall anomalies over East China; in the HI (LI) cases rainfall increases (decreases) over North China and at the same time decreases (increases) over the mid-lower Yangtze River valley and the southern Yangtze River. Hence, ILSQD can be utilized as a summer monsoon index. There is also remarkable correlation between ILSQD in March and the following summer rainfall over the mid-lower Yangtze River valley. Finally, the Community Atmospheric Model Version 3.1 (CAM3.1) of NCAR is used to run numerical experiments, which verify that the anomalous summer precipitation in simulations is similar to that of diagnosis analysis based on the anomalous summer atmospheric heating forcing. Similarly, the atmospheric heating rate in March can force summer rainfall anomalies in the simulations just as observed in the data.展开更多
In this paper, five national meteorological stations in Anhui province are taken as typical examples to explore the effects of local urbanization on their thermal environment by using Landsat data from 1990 to 2010. S...In this paper, five national meteorological stations in Anhui province are taken as typical examples to explore the effects of local urbanization on their thermal environment by using Landsat data from 1990 to 2010. Satellite-based land use/land cover(LULC), land surface temperature(LST), normalized difference vegetation index(NDVI) are used to investigate the effects. The study shows that LULC around meteorological stations changed significantly due to urban expansion. Fast urbanization is the main factor that affects the spatial-temporal distribution of thermal environment around meteorological stations. Moreover, the normalized LST and NDVI exhibit strong inverse correlations around meteorological stations, so the variability of LST can be monitored through evaluating the variability of NDVI. In addition, station-relocation plays an important role in improving representativeness of thermal environment. Notably, the environment representativeness was improved, but when using the data from the station to study climate change, the relocation-induced inhomogeneous data should be considered and adjusted. Consequently,controlling the scale and layout of the urban buildings and constructions around meteorological stations is an effective method to ameliorate observational thermal environment and to improve regional representativeness of station observation. The present work provides observational evidences that high resolution Landsat images can be used to evaluate the thermal environment of meteorological stations.展开更多
为探究作物冠层受阳光直射或阴影遮挡对无人机热红外遥感诊断作物水分胁迫、监测土壤含水率的影响,该研究以不同灌溉处理的夏玉米为研究对象,将热红外图像划分为光照冠层、阴影冠层、光照土壤、阴影土壤4个部分,分别提取光照温度与阴影...为探究作物冠层受阳光直射或阴影遮挡对无人机热红外遥感诊断作物水分胁迫、监测土壤含水率的影响,该研究以不同灌溉处理的夏玉米为研究对象,将热红外图像划分为光照冠层、阴影冠层、光照土壤、阴影土壤4个部分,分别提取光照温度与阴影温度后计算了11:00、13:00、15:00的冠气温差(冠层温度与大气温度之差,ΔT)、作物水分胁迫指数(crop water stress index,CWSI)、蒸发比(潜热通量与有效能量的比值,evaporative fraction,EF),并对比了3种指数在不同时刻使用光照温度(ΔT_(L)、CWSI_(L)、EF_(L))与阴影温度(ΔT_(S)、CWSI_(S)、EF_(S))后对土壤含水率的监测效果变化情况。结果表明:1)3种指数的监测效果会随时间发生变化,11:00与15:00时EF监测效果较好,13:00时CWSI监测效果较好,ΔT的监测效果较差但随时间波动最小;2)拔节期在区分光照温度与阴影温度后监测效果在11:00时提升幅度最大,EF、EF_(S)、EF_(L)的R^(2)分别为0.54、0.65、0.78,CWSI、CWSI_(S)、CWSI_(L)的R^(2)分别为0.47、0.64、0.70,抽雄期与灌浆期使用光照温度对监测效果提升不大,但使用阴影温度的指数监测效果有明显降低,在13:00时CWSIS较CWSI有最大降幅,R^(2)降幅分别为0.11、0.06;3)在拔节期与抽雄期使用11:00的EFL,在灌浆期使用13:00的CWSI能取得最好的土壤含水率监测效果,验证期预测土壤含水率的R2分别为0.75、0.75、0.89。该研究可以为无人机热红外监测土壤含水率提供参考。展开更多
基金Supported by the South China Sea Monsoon Experiment,Climbing Programme"A"of China.
文摘This paper proposes an index of land-sea thermal difference(ILSTD)that describes its zonal and meridional strength responsible for East Asian monsoon circulation to study its relation to the East Asian monsoon circulation and the summer rainfall over China on an interannual basis.Results are as follows:(1)ILSTD can be used to measure the strength of East Asian summer monsoon in such a way that the strong(weak)ILSTD years are associated with strong(weak)summer monsoon circulation.(2)The index also reflects well summer rainfall anomaly over the eastern part of China. In the strong index years,rain belt is mainly located over the northern China,and serious drought emerges in the Jianghuai valleys and mid-lower reaches of the Changjiang River,along with increase of rainfall in North and South China,but in the weak years it is contrary.(3)Besides,the index has obvious QBO and quasi 4-year oscillations,but the periods and amplitudes have significant changes on an interdecadal basis.
基金supported by National Natural Science Foundation of China (Grant Nos.90711003,40505014,40805035 and 40633018)
文摘Using a monthly precipitation dataset of 160 stations over China and a daily and monthly National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis dataset from 1961 to 2006, we here define an East Asian land-sea atmospheric heat source difference index ILSQD and investigate its relationship to summer rainfall in China and East Asian general circulation. The results show that ILSQD more closely reflects the anomalous variations in summer monsoon phenomena; in the high-index (HI) cases, the strong low-level southerlies over East China and the strong high-level westerlies over middle latitudes indicate an active summer monsoon, and vice versa in the low-index (LI) cases. This index also reflects summer rainfall anomalies over East China; in the HI (LI) cases rainfall increases (decreases) over North China and at the same time decreases (increases) over the mid-lower Yangtze River valley and the southern Yangtze River. Hence, ILSQD can be utilized as a summer monsoon index. There is also remarkable correlation between ILSQD in March and the following summer rainfall over the mid-lower Yangtze River valley. Finally, the Community Atmospheric Model Version 3.1 (CAM3.1) of NCAR is used to run numerical experiments, which verify that the anomalous summer precipitation in simulations is similar to that of diagnosis analysis based on the anomalous summer atmospheric heating forcing. Similarly, the atmospheric heating rate in March can force summer rainfall anomalies in the simulations just as observed in the data.
基金supported by the National Natural Science Foundation of China(41205126 and 41475085)Anhui Provincial Natural Science Foundation(1408085MKL60 and1508085MD64)Meteorological Research Fund of Anhui Meteorological Bureau(KM201520)
文摘In this paper, five national meteorological stations in Anhui province are taken as typical examples to explore the effects of local urbanization on their thermal environment by using Landsat data from 1990 to 2010. Satellite-based land use/land cover(LULC), land surface temperature(LST), normalized difference vegetation index(NDVI) are used to investigate the effects. The study shows that LULC around meteorological stations changed significantly due to urban expansion. Fast urbanization is the main factor that affects the spatial-temporal distribution of thermal environment around meteorological stations. Moreover, the normalized LST and NDVI exhibit strong inverse correlations around meteorological stations, so the variability of LST can be monitored through evaluating the variability of NDVI. In addition, station-relocation plays an important role in improving representativeness of thermal environment. Notably, the environment representativeness was improved, but when using the data from the station to study climate change, the relocation-induced inhomogeneous data should be considered and adjusted. Consequently,controlling the scale and layout of the urban buildings and constructions around meteorological stations is an effective method to ameliorate observational thermal environment and to improve regional representativeness of station observation. The present work provides observational evidences that high resolution Landsat images can be used to evaluate the thermal environment of meteorological stations.
文摘为探究作物冠层受阳光直射或阴影遮挡对无人机热红外遥感诊断作物水分胁迫、监测土壤含水率的影响,该研究以不同灌溉处理的夏玉米为研究对象,将热红外图像划分为光照冠层、阴影冠层、光照土壤、阴影土壤4个部分,分别提取光照温度与阴影温度后计算了11:00、13:00、15:00的冠气温差(冠层温度与大气温度之差,ΔT)、作物水分胁迫指数(crop water stress index,CWSI)、蒸发比(潜热通量与有效能量的比值,evaporative fraction,EF),并对比了3种指数在不同时刻使用光照温度(ΔT_(L)、CWSI_(L)、EF_(L))与阴影温度(ΔT_(S)、CWSI_(S)、EF_(S))后对土壤含水率的监测效果变化情况。结果表明:1)3种指数的监测效果会随时间发生变化,11:00与15:00时EF监测效果较好,13:00时CWSI监测效果较好,ΔT的监测效果较差但随时间波动最小;2)拔节期在区分光照温度与阴影温度后监测效果在11:00时提升幅度最大,EF、EF_(S)、EF_(L)的R^(2)分别为0.54、0.65、0.78,CWSI、CWSI_(S)、CWSI_(L)的R^(2)分别为0.47、0.64、0.70,抽雄期与灌浆期使用光照温度对监测效果提升不大,但使用阴影温度的指数监测效果有明显降低,在13:00时CWSIS较CWSI有最大降幅,R^(2)降幅分别为0.11、0.06;3)在拔节期与抽雄期使用11:00的EFL,在灌浆期使用13:00的CWSI能取得最好的土壤含水率监测效果,验证期预测土壤含水率的R2分别为0.75、0.75、0.89。该研究可以为无人机热红外监测土壤含水率提供参考。
