The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method
High-quality precipitation is an important precondition to conduct the study of ecohydrology and climate change in mountain area.However， complicated terrain and scarce and uneven ground observation stations make the understanding of spatiotemporal variations characteristics of precipitation in the...
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Science Press, PR China
2025-06-01
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| Series: | Gaoyuan qixiang |
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| Online Access: | http://www.gyqx.ac.cn/EN/10.7522/j.issn.1000-0534.2024.00093 |
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| author | Hong WANG Qiaoshun YAN Zujun ZHAO Daxiang CHEN Zhiming ZHANG |
| author_facet | Hong WANG Qiaoshun YAN Zujun ZHAO Daxiang CHEN Zhiming ZHANG |
| author_sort | Hong WANG |
| collection | DOAJ |
| description | High-quality precipitation is an important precondition to conduct the study of ecohydrology and climate change in mountain area.However， complicated terrain and scarce and uneven ground observation stations make the understanding of spatiotemporal variations characteristics of precipitation in the Ailao Mountain Area unclear.In this study， GWR （Geographical Weighted Regression） model is used to downscale GSMaP-Gauge precipitation data with 0.1° spatial resolution to 30 m.After validating the accuracy of downscaled precipitation data by using monthly meteorological stations data， the monthly precipitation dataset from 2000 to 2020 in the Ailao Mountain Area is developed.Based on this dataset， the long-term （2000 -2020） spatiotemporal variations characteristics of precipitation at both annual and monthly scales in the study area are illustrated.The results showed that （1） the accuracy of downscaled GSMaP-Gauge precipitation by GWR model was reliable （R2=0.77， Bias=-0.01）， with the significant improvement of spatial details.（2） Spatially， the annual precipitation amount increased from north to south， and it first increased and then decreased with the rising of elevation in the Ailao Mountain Area.Temporally， there was obvious dry and wet seasons in the study area from 2000 to 2020， with the precipitation amount from May to September accounting for 74.74% of the annual precipitation.And precipitation amount first increased and then decreased from February to December， with the maximum occurred in July.（3） From the aspect of spatiotemporal change， the annual average precipitation amount decreased from 2001 to 2020， only 24.19% area was at an increasing trend concentrated at the southeastern Ailao Mountain Area.As for different months， precipitation amount was significantly increased in January and significantly decreased in May， while the change trends of precipitation in the other months were insignificant.This study has found that GWR downscaling method is valid to obtain high-resolution precipitation data， which is also an effective pathway to clarify the spatiotemporal characteristics of precipitation， and to provide key and basic data for ecohydrological process study and regional water resources management in mountain area. |
| format | Article |
| id | doaj-art-e40cb908376a4242bedf32d42829b962 |
| institution | Kabale University |
| issn | 1000-0534 |
| language | zho |
| publishDate | 2025-06-01 |
| publisher | Science Press, PR China |
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| series | Gaoyuan qixiang |
| spelling | doaj-art-e40cb908376a4242bedf32d42829b9622025-08-20T03:32:58ZzhoScience Press, PR ChinaGaoyuan qixiang1000-05342025-06-0144364365610.7522/j.issn.1000-0534.2024.000931000-0534（2025）03-0643-14The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling MethodHong WANG0Qiaoshun YAN1Zujun ZHAO2Daxiang CHEN3Zhiming ZHANG4Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China， School of Ecology and Environmental Science， Yunnan University， Kunming 650500， Yunan， ChinaAilaoshan Station of Subtropical Forest Ecosystem Studies， Xishuangbanna Tropical Botanical Garden， Chinese Academy of Sciences， Jingdong 676209， Yunnan， ChinaYunnan Ecological and Environmental Monitoring Center， Kunming 650500， Yunan， ChinaTongbiguan Provincial Nature Reserve， Mangshi 678499， Yunan， ChinaMinistry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China， School of Ecology and Environmental Science， Yunnan University， Kunming 650500， Yunan， ChinaHigh-quality precipitation is an important precondition to conduct the study of ecohydrology and climate change in mountain area.However， complicated terrain and scarce and uneven ground observation stations make the understanding of spatiotemporal variations characteristics of precipitation in the Ailao Mountain Area unclear.In this study， GWR （Geographical Weighted Regression） model is used to downscale GSMaP-Gauge precipitation data with 0.1° spatial resolution to 30 m.After validating the accuracy of downscaled precipitation data by using monthly meteorological stations data， the monthly precipitation dataset from 2000 to 2020 in the Ailao Mountain Area is developed.Based on this dataset， the long-term （2000 -2020） spatiotemporal variations characteristics of precipitation at both annual and monthly scales in the study area are illustrated.The results showed that （1） the accuracy of downscaled GSMaP-Gauge precipitation by GWR model was reliable （R2=0.77， Bias=-0.01）， with the significant improvement of spatial details.（2） Spatially， the annual precipitation amount increased from north to south， and it first increased and then decreased with the rising of elevation in the Ailao Mountain Area.Temporally， there was obvious dry and wet seasons in the study area from 2000 to 2020， with the precipitation amount from May to September accounting for 74.74% of the annual precipitation.And precipitation amount first increased and then decreased from February to December， with the maximum occurred in July.（3） From the aspect of spatiotemporal change， the annual average precipitation amount decreased from 2001 to 2020， only 24.19% area was at an increasing trend concentrated at the southeastern Ailao Mountain Area.As for different months， precipitation amount was significantly increased in January and significantly decreased in May， while the change trends of precipitation in the other months were insignificant.This study has found that GWR downscaling method is valid to obtain high-resolution precipitation data， which is also an effective pathway to clarify the spatiotemporal characteristics of precipitation， and to provide key and basic data for ecohydrological process study and regional water resources management in mountain area.http://www.gyqx.ac.cn/EN/10.7522/j.issn.1000-0534.2024.00093geographical weighted regressionprecipitation amountdownscalingspatiotemporal changecomplicated mountain area |
| spellingShingle | Hong WANG Qiaoshun YAN Zujun ZHAO Daxiang CHEN Zhiming ZHANG The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method Gaoyuan qixiang geographical weighted regression precipitation amount downscaling spatiotemporal change complicated mountain area |
| title | The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method |
| title_full | The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method |
| title_fullStr | The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method |
| title_full_unstemmed | The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method |
| title_short | The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method |
| title_sort | spatiotemporal variations characteristics of precipitation in the ailao mountain area during 2000 2020 based on geographical weighted regression downscaling method |
| topic | geographical weighted regression precipitation amount downscaling spatiotemporal change complicated mountain area |
| url | http://www.gyqx.ac.cn/EN/10.7522/j.issn.1000-0534.2024.00093 |
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