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A high-precision daily precipitation merging dataset (MSMP) with a spatial resolution of 0.1\u00b0 was successfully generated. Through a comprehensive evaluation of the MSMP dataset using various indices across different periods and regions, the following findings were obtained: (1) GPM-IMERG satellite observation data exhibited the highest performance in the region and proved suitable for inclusion as the initial background field in the merging experiment; (2) the merging experiment significantly enhanced dataset accuracy, resulting in a spatiotemporal distribution of precipitation that better aligned with gauge data; (3) topographic factors exerted certain influences on the merging test, with greater accuracy improvements observed in the plain region, while the merging test demonstrated unstable effects in higher elevated areas. The results of this study present a practical approach for merging multi-source precipitation data and provide a novel research perspective to address the challenge of constructing high-precision daily precipitation datasets in regions characterized by complex terrain and limited observational coverage.<\/jats:p>","DOI":"10.3390\/rs15174345","type":"journal-article","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T02:43:20Z","timestamp":1693795400000},"page":"4345","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Multi-Source Precipitation Data Merging for High-Resolution Daily Rainfall in Complex Terrain"],"prefix":"10.3390","volume":"15","author":[{"given":"Zhi","family":"Li","sequence":"first","affiliation":[{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0090-2840","authenticated-orcid":false,"given":"Hao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"China Meteorological Administration Radar Meteorology Key Laboratory, Nanjing 210000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Yunnan Atmospheric Sounding Technology Support Center, Yunnan Meteorological Bureau, Kunming 650034, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiangyu","family":"Zeng","sequence":"additional","affiliation":[{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Xiang","sequence":"additional","affiliation":[{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhihao","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Yan, Y., Wang, H., Li, G., Xia, J., Ge, F., Zeng, Q., Ren, X., and Tan, L. (2022). Projection of Future Extreme Precipitation in China Based on the CMIP6 from a Machine Learning Perspective. Remote. Sens., 14.","DOI":"10.3390\/rs14164033"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"8927","DOI":"10.1002\/2014WR015829","article-title":"Monitoring reservoir storage in South Asia from multisatellite remote sensing","volume":"50","author":"Zhang","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1007\/s00704-015-1606-8","article-title":"Spatial interpolation of precipitation indexes in Sierra Nevada (Spain): Comparing the performance of some interpolation methods","volume":"126","author":"Pereira","year":"2015","journal-title":"Theor. Appl. Clim."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1007\/s00704-021-03675-0","article-title":"Comparison of spatial interpolation methods for estimating the precipitation distribution in Portugal","volume":"145","author":"Antal","year":"2021","journal-title":"Theor. Appl. Climatol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2527","DOI":"10.5194\/hess-24-2527-2020","article-title":"Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America","volume":"24","author":"Tarek","year":"2020","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.jhydrol.2015.12.008","article-title":"Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales","volume":"533","author":"Tang","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1175\/2009JHM1190.1","article-title":"Evaluation of GSMaP Precipitation Estimates over the Contiguous United States","volume":"11","author":"Tian","year":"2010","journal-title":"J. Hydrometeorol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.jhydrol.2007.04.007","article-title":"Merging multiple precipitation sources for flash flood forecasting","volume":"340","author":"Chiang","year":"2007","journal-title":"J. Hydrol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"124664","DOI":"10.1016\/j.jhydrol.2020.124664","article-title":"A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China","volume":"584","author":"Wu","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_10","first-page":"1275","article-title":"Generation of an improved precipitation data set from multisource information over the Tibetan Plateau","volume":"22","author":"Hong","year":"2021","journal-title":"J. Hydrometeorol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"e2020EA001090","DOI":"10.1029\/2020EA001090","article-title":"Can the GPM IMERG Hourly Products Replicate the Variation in Precipitation During the Wet Season Over the Sichuan Basin, China?","volume":"7","author":"Wang","year":"2020","journal-title":"Earth Space Sci."},{"key":"ref_12","first-page":"899","article-title":"Relationships Between Rapid Urbanization and Extreme Summer Precipitation Over the Sichuan\u2013Chongqing Area of China","volume":"10","author":"Wang","year":"2022","journal-title":"Front. Earth Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1016\/j.asr.2013.04.005","article-title":"Analysis of precipitable water vapor from GPS measurements in Chengdu region: Distribution and evolution characteristics in autumn","volume":"52","author":"Wang","year":"2013","journal-title":"Adv. Space Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"D2","DOI":"10.1029\/2009JD012097","article-title":"Performance of high-resolution satellite precipitation products over China","volume":"115","author":"Shen","year":"2010","journal-title":"J. Geophys. Research. Atmos."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1504","DOI":"10.3390\/rs70201504","article-title":"Evaluation of Six High-Resolution Satellite and Ground-Based Precipitation Products over Malaysia","volume":"7","author":"Tan","year":"2015","journal-title":"Remote. Sens."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Sharifi, E., Eitzinger, J., and Dorigo, W. (2019). Performance of the State-Of-The-Art Gridded Precipitation Products over Mountainous Terrain: A Regional Study over Austria. Remote. Sens., 11.","DOI":"10.3390\/rs11172018"},{"key":"ref_17","first-page":"1","article-title":"Easy-to-use spatial Random Forest-based downscaling-calibration method for producing high reso-lution and accurate precipitation data","volume":"2021","author":"Chen","year":"2021","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.atmosres.2017.06.020","article-title":"Evaluation of the GPM IMERG satellite-based precipitation products and the hydrological utility","volume":"196","author":"Wang","year":"2017","journal-title":"Atmos. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1007\/s11269-014-0572-8","article-title":"Spatial and Temporal Variability of Precipitation and Dryness\/Wetness During 1961\u20132008 in Sichuan Province, West China","volume":"28","author":"Huang","year":"2014","journal-title":"Water Resour. Manag."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"999","DOI":"10.1007\/s00376-021-1219-3","article-title":"Contrasts between the Interannual Variations of Extreme Rainfall over Western and Eastern Sichuan in Mid-summer","volume":"39","author":"Deng","year":"2022","journal-title":"Adv. Atmos. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Wang, H., Tan, L., Zhang, F., Zheng, J., Liu, Y., Zeng, Q., Yan, Y., Ren, X., and Xiang, J. (2022). Three-Dimensional Structure Analysis and Droplet Spectrum Characteristics of Southwest Vortex Precipitation System Based on GPM-DPR. Remote. Sens., 14.","DOI":"10.3390\/rs14164063"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Lu, C., Ye, J., Fang, G., Huang, X., and Yan, M. (2021). Assessment of GPM IMERG Satellite Precipitation Estimation under Complex Climatic and Topographic Conditions. Atmosphere, 12.","DOI":"10.3390\/atmos12060780"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.1109\/JSTARS.2018.2810163","article-title":"Performance of the Standardized Precipitation Index Based on the TMPA and CMORPH Precipitation Products for Drought Monitoring in China","volume":"11","author":"Lu","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"105132","DOI":"10.1016\/j.atmosres.2020.105132","article-title":"Comprehensive evaluation of latest GPM era IMERG and GSMaP precipitation products over mainland China","volume":"246","author":"Zhou","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"124632","DOI":"10.1016\/j.jhydrol.2020.124632","article-title":"Inter-comparison of ERA-5, ERA-interim and GPCP rainfall over the last 40 years: Process-based analysis of systematic and random differences","volume":"583","author":"Nogueira","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"921658","DOI":"10.3389\/fenvs.2022.921658","article-title":"How Well Does the ERA5 Reanalysis Capture the Extreme Climate Events Over China? Part I: Extreme Precipitation","volume":"10","author":"Lei","year":"2022","journal-title":"Front. Environ. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1135895","DOI":"10.3389\/fevo.2023.1135895","article-title":"Evaluation of ERA5-Land reanalysis datasets for extreme temperatures in the Qilian Mountains of China","volume":"11","author":"Zhao","year":"2023","journal-title":"Front. Ecol. Evol."},{"key":"ref_28","unstructured":"Hersbach, H. (2016, January 12\u201316). The ERA5 Atmospheric Reanalysis. Proceedings of the AGU Fall Meeting 2016, San Francisco, CA, USA."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2226","DOI":"10.1016\/j.asr.2023.05.057","article-title":"Downscaling of GPM satellite precipitation products based on machine learning method in complex terrain and limited observation area","volume":"72","author":"Wang","year":"2023","journal-title":"Adv. Space Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"874950","DOI":"10.3389\/feart.2022.874950","article-title":"Editorial: Advances in Quantitative Geomorphology: From DEM Analysis to Modeling of Surface Processes","volume":"10","author":"Capolongo","year":"2022","journal-title":"Front. Earth Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"101204","DOI":"10.1016\/j.ejrh.2022.101204","article-title":"Multi-source rainfall merging and reservoir inflow forecasting by ensemble technique and artificial intelligence","volume":"44","author":"Chiang","year":"2022","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_32","first-page":"755","article-title":"Test of merging methods for multi-source observed precipitation products at high resolution over China","volume":"76","author":"Pan","year":"2018","journal-title":"Acta Meteorol. Sin."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Nguyen, G.V., Le, X.-H., Van, L.N., Jung, S., Yeon, M., and Lee, G. (2021). Application of Random Forest Algorithm for Merging Multiple Satellite Precipitation Products across South Korea. Remote. Sens., 13.","DOI":"10.3390\/rs13204033"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1007\/s11430-022-1050-2","article-title":"Deep learning-based multi-source precipitation merging for the Tibetan Plateau","volume":"66","author":"Nan","year":"2023","journal-title":"Sci. China Earth Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1002\/2017JD026648","article-title":"Performance of Optimally Merged Multisatellite Precipitation Products Using the Dynamic Bayesian Model Averaging Scheme Over the Tibetan Plateau","volume":"123","author":"Ma","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"111697","DOI":"10.1016\/j.rse.2020.111697","article-title":"Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets","volume":"240","author":"Tang","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Sui, X., Li, Z., Ma, Z., Xu, J., Zhu, S., and Liu, H. (2020). Ground Validation and Error Sources Identification for GPM IMERG Product over the Southeast Coastal Regions of China. Remote. Sens., 12.","DOI":"10.3390\/rs12244154"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1111\/j.1538-4632.1996.tb00936.x","article-title":"Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity","volume":"28","author":"Brunsdon","year":"1996","journal-title":"Geogr. Anal."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.1068\/a301905","article-title":"Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis","volume":"30","author":"Fotheringham","year":"1998","journal-title":"Environ. Plan. A Econ. Space"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Bi, S., Bi, S., Chen, D., Pan, J., and Wang, J. (2017). A Double-Smoothing Algorithm for Integrating Satellite Precipitation Products in Areas with Sparsely Distributed In Situ Networks. ISPRS Int. J. Geo-Inf., 6.","DOI":"10.3390\/ijgi6010028"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.rse.2018.05.021","article-title":"A new downscaling-integration framework for high-resolution monthly precipitation estimates: Combining rain gauge observations, satellite-derived precipitation data and geographical ancillary data","volume":"214","author":"Chen","year":"2018","journal-title":"Remote. Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/BF00058655","article-title":"Bagging predictors","volume":"24","author":"Breiman","year":"1996","journal-title":"Mach. Learn."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3063","DOI":"10.1002\/2013JD020686","article-title":"A high spatiotemporal gauge-satellite merged precipitation analysis over China","volume":"119","author":"Shen","year":"2014","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1016\/j.scitotenv.2018.05.272","article-title":"Improvement of a combination of TMPA (or IMERG) and ground-based precipitation and application to a typical region of the East China Plain","volume":"640-641","author":"Wu","year":"2018","journal-title":"Sci. Total. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.jhydrol.2018.01.042","article-title":"Geographically weighted regression based methods for merging satellite and gauge precipitation","volume":"558","author":"Chao","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_47","first-page":"1381","article-title":"Analysis of the combined gauge-satellite hourly precipitation over China based on the OI technique","volume":"70","author":"Pan","year":"2012","journal-title":"Acta Meteorol. Sin."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"3194","DOI":"10.1029\/2018WR023857","article-title":"Fast Bayesian Regression Kriging Method for Real-Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data","volume":"55","author":"Yang","year":"2019","journal-title":"Water Resour. Res."},{"key":"ref_49","first-page":"619","article-title":"Precipitation variation and its impacts in Sichuan in the last 50 years","volume":"66","author":"Zhou","year":"2011","journal-title":"Acta Geogr. Sin."},{"key":"ref_50","first-page":"1305","article-title":"Evaluation of the GPM-based IMERG and GSMaP Precipitation estimates over the Sichuan region","volume":"74","author":"Zeng","year":"2019","journal-title":"Acta Geogr. Sin."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1175\/JHM583.1","article-title":"A Gauge-Based Analysis of Daily Precipitation over East Asia","volume":"8","author":"Xie","year":"2007","journal-title":"J. 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