Global Land High-Resolution Cloud Climatology Based on an Improved MOD09 Cloud Mask
Clouds play an important role in the energy and moisture cycle of the earth–atmosphere system, which affects many important processes in nature and human societies. However, there are very few fine-grained and high-precision global cloud climatology data available for high-resolution models. In this...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-10-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/19/3997 |
| _version_ | 1797515800043585536 |
|---|---|
| author | Shuyan Zhang Yong Ma Fu Chen Erping Shang Wutao Yao Yubao Qiu Jianbo Liu |
| author_facet | Shuyan Zhang Yong Ma Fu Chen Erping Shang Wutao Yao Yubao Qiu Jianbo Liu |
| author_sort | Shuyan Zhang |
| collection | DOAJ |
| description | Clouds play an important role in the energy and moisture cycle of the earth–atmosphere system, which affects many important processes in nature and human societies. However, there are very few fine-grained and high-precision global cloud climatology data available for high-resolution models. In this paper, we produced a fine-grained (1 km resolution) global land cloud climatology (GLHCC) report based on MOD09 cloud masks from 2001 to 2016, with a temporal resolution of 10 days. The two improvements (short-wave infrared and Band 2/6 ratio threshold method) on the original MOD09 cloud mask have reduced the snow, ice, and bright areas mistakenly classified as clouds. The preliminary cloud products undergo the removal of orbital artifacts by Variational Stationary Noise Remover (VSNR) and the removal of abnormal albedo areas to generate the final cloud climatology data. The new product was directly validated by ground-based cloud observations collected from 3777 global weather stations. PATMOS-X from the Advanced Very High Resolution Radiometer (AVHRR) and MOD/MYD35 served as comparison products for consistency check of GLHCC. The assessment results show that GLHCC demonstrated a strong correlation with ground station observations, MOD/MYD35, and PATMOS-X. When the ground observations were taken as the truth value, GLHCC and MOD/MYD35 displayed higher accuracy than PATMOS-X. In most selected interested areas where the three behave differently, GLHCC matched the facts better than MOD/MYD35 and PATMOS-X. The GLHCC can well represent the cloud distribution over the past 16 years and will play an important role in the fine-grained demands of many aspects of nature and human society. |
| first_indexed | 2024-03-10T06:52:23Z |
| format | Article |
| id | doaj.art-b1660d9f557a4cb29baac206ba361426 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T06:52:23Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b1660d9f557a4cb29baac206ba3614262023-11-22T16:43:57ZengMDPI AGRemote Sensing2072-42922021-10-011319399710.3390/rs13193997Global Land High-Resolution Cloud Climatology Based on an Improved MOD09 Cloud MaskShuyan Zhang0Yong Ma1Fu Chen2Erping Shang3Wutao Yao4Yubao Qiu5Jianbo Liu6Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaClouds play an important role in the energy and moisture cycle of the earth–atmosphere system, which affects many important processes in nature and human societies. However, there are very few fine-grained and high-precision global cloud climatology data available for high-resolution models. In this paper, we produced a fine-grained (1 km resolution) global land cloud climatology (GLHCC) report based on MOD09 cloud masks from 2001 to 2016, with a temporal resolution of 10 days. The two improvements (short-wave infrared and Band 2/6 ratio threshold method) on the original MOD09 cloud mask have reduced the snow, ice, and bright areas mistakenly classified as clouds. The preliminary cloud products undergo the removal of orbital artifacts by Variational Stationary Noise Remover (VSNR) and the removal of abnormal albedo areas to generate the final cloud climatology data. The new product was directly validated by ground-based cloud observations collected from 3777 global weather stations. PATMOS-X from the Advanced Very High Resolution Radiometer (AVHRR) and MOD/MYD35 served as comparison products for consistency check of GLHCC. The assessment results show that GLHCC demonstrated a strong correlation with ground station observations, MOD/MYD35, and PATMOS-X. When the ground observations were taken as the truth value, GLHCC and MOD/MYD35 displayed higher accuracy than PATMOS-X. In most selected interested areas where the three behave differently, GLHCC matched the facts better than MOD/MYD35 and PATMOS-X. The GLHCC can well represent the cloud distribution over the past 16 years and will play an important role in the fine-grained demands of many aspects of nature and human society.https://www.mdpi.com/2072-4292/13/19/3997cloud climatologyMOD09 cloud maskfine-grained demands |
| spellingShingle | Shuyan Zhang Yong Ma Fu Chen Erping Shang Wutao Yao Yubao Qiu Jianbo Liu Global Land High-Resolution Cloud Climatology Based on an Improved MOD09 Cloud Mask Remote Sensing cloud climatology MOD09 cloud mask fine-grained demands |
| title | Global Land High-Resolution Cloud Climatology Based on an Improved MOD09 Cloud Mask |
| title_full | Global Land High-Resolution Cloud Climatology Based on an Improved MOD09 Cloud Mask |
| title_fullStr | Global Land High-Resolution Cloud Climatology Based on an Improved MOD09 Cloud Mask |
| title_full_unstemmed | Global Land High-Resolution Cloud Climatology Based on an Improved MOD09 Cloud Mask |
| title_short | Global Land High-Resolution Cloud Climatology Based on an Improved MOD09 Cloud Mask |
| title_sort | global land high resolution cloud climatology based on an improved mod09 cloud mask |
| topic | cloud climatology MOD09 cloud mask fine-grained demands |
| url | https://www.mdpi.com/2072-4292/13/19/3997 |
| work_keys_str_mv | AT shuyanzhang globallandhighresolutioncloudclimatologybasedonanimprovedmod09cloudmask AT yongma globallandhighresolutioncloudclimatologybasedonanimprovedmod09cloudmask AT fuchen globallandhighresolutioncloudclimatologybasedonanimprovedmod09cloudmask AT erpingshang globallandhighresolutioncloudclimatologybasedonanimprovedmod09cloudmask AT wutaoyao globallandhighresolutioncloudclimatologybasedonanimprovedmod09cloudmask AT yubaoqiu globallandhighresolutioncloudclimatologybasedonanimprovedmod09cloudmask AT jianboliu globallandhighresolutioncloudclimatologybasedonanimprovedmod09cloudmask |