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利用 Himawari-8 新一代静止气象卫星数据确定的青藏高原云覆盖的日变化和季节变化。

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

机构信息

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China.

Research and Information Center, Tokai University, Tokyo, Japan.

出版信息

Sci Rep. 2018 Jan 18;8(1):1105. doi: 10.1038/s41598-018-19431-w.

Abstract

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 high-resolution 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 polar-orbiting 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%).

摘要

分析青藏高原上空的云覆盖及其日变化高度依赖于卫星数据;然而,极地轨道和地球静止卫星对该地区的云检测精度仍不清楚。新一代地球静止卫星 Himawari-8 为青藏高原上空的云提供了高分辨率的空间和时间信息。本研究调查了 MODIS 和 AHI 的云检测,并与 CALIPSO 测量结果进行了验证。对于 AHI 和 MODIS,在识别青藏高原上空的云时,AHI 和 MODIS 的误报率分别为 7.51%和 1.94%,云的命中率分别为 73.55%和 80.15%。使用 Himawari-8 卫星的每小时云覆盖数据,我们发现,在月度尺度上,青藏高原上空的云覆盖日变化趋势是全天增加,最低和最高云量分别出现在当地时间上午 10 点和下午 6 点。由于极轨卫星的时间分辨率有限,MODIS 白天平均云覆盖的低估量在年度尺度上约为 4.00%,春季(5.40%)和冬季(5.90%)的偏差更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a18/5773517/d8bb15821f31/41598_2018_19431_Fig1_HTML.jpg

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