CLIMATE-CHANGE
; SEA
; EMISSIVITY
; ECOSYSTEMS
; STATE
WOS学科分类:
Multidisciplinary Sciences
WOS研究方向:
Science & Technology - Other Topics
英文摘要:
Lake surface water temperature (LSWT) is of vital importance for hydrological and meteorological studies. The LSWT ground measurements in the Tibetan Plateau (TP) were quite scarce because of its harsh environment. Thermal infrared remote sensing is a reliable way to calculate historical LSWT. In this study, we present the first and longest 35-year (1981-2015) daytime lake-averaged LSWT data of 97 large lakes (>80 km(2) each) in the TP using the 4-km Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) data. The LSWT dataset, taking advantage of observations from NOAA's afternoon satellites, includes three time scales, i.e., daily, 8-day-averaged, and monthly-averaged. The AVHRR-derived LSWT has a similar accuracy (RMSE = 1.7 degrees C) to that from other data products such as MODIS (RMSE = 1.7 degrees C) and ARC-Lake (RMSE = 2.0 degrees C). An inter-comparison of different sensors indicates that for studies such as those considering long-term climate change, the relative bias of different AVHRR sensors cannot be ignored. The proposed dataset should be, to some extent, a valuable asset for better understanding the hydrologic/climatic property and its changes over the TP.
1.Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China 2.Univ Texas San Antonio, Dept Geol Sci, San Antonio, TX 78249 USA 3.Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China 4.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China 6.Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA
Recommended Citation:
Liu, Baojian,Wan, Wei,Xie, Hongjie,et al. A long-term dataset of lake surface water temperature over the Tibetan Plateau derived from AVHRR 1981-2015[J]. SCIENTIFIC DATA,2019-01-01,6