Diurnal cycle and seasonal variation of cloud cover over the Tibetan Plateau as determined from Himawari-8 new-generation geostationary satellite data

作者:Shang, HZ (Shang, Huazhe)[ 1 ] ; Letu, H (Letu, Husi)[ 1,2 ] ; Nakajima, TY (Nakajima, Takashi Y.)[ 2 ] ; Wang, ZM (Wang, Ziming)[ 1,3 ] ; Ma, R (Ma, Run)[ 1,3 ] ; Wang, TX (Wang, Tianxing)[ 1 ] ; Lei, YH (Lei, Yonghui)[ 1 ] ; Ji, DB (Ji, Dabin)[ 1 ] ; Li, SS (Li, Shenshen)[ 1 ] ; Shi, JC (Shi, Jiancheng)[ 1 ]

SCIENTIFIC REPORTS

卷: 8

文献号: 1105

DOI: 10.1038/s41598-018-19431-w

出版年: JAN 18 2018

摘要

Analysis of cloud cover and its diurnal variation over the Tibetan Plateau (TP) is highly reliant on satellite data; however, the accuracy of cloud detection from both polar-orbiting and geostationary satellites over this area remains unclear. The new-generation geostationary Himawari-8 satellites provide highresolution spatial and temporal information about clouds over the Tibetan Plateau. In this study, the cloud detection of MODIS and AHI is investigated and validated against CALIPSO measurements. For AHI and MODIS, the false alarm rate of AHI and MODIS in cloud identification over the TP was 7.51% and 1.94%, respectively, and the cloud hit rate was 73.55% and 80.15%, respectively. Using hourly cloud-cover data from the Himawari-8 satellites, we found that at the monthly scale, the diurnal cycle in cloud cover over the TP tends to increase throughout the day, with the minimum and maximum cloud fractions occurring at 10: 00 a.m. and 18: 00 p.m. local time. Due to the limited time resolution of polarorbiting satellites, the underestimation of MODIS daytime average cloud cover is approximately 4.00% at the annual scale, with larger biases during the spring (5.40%) and winter (5.90%).

通讯作者地址: Li, SS (通讯作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China

[ 2 ] Tokai Univ, Res & Informat Ctr, Tokyo, Japan

[ 3 ] Univ Chinese Acad Sci, Beijing, Peoples R China