{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T15:51:02Z","timestamp":1773676262623,"version":"3.50.1"},"reference-count":49,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,2,12]],"date-time":"2022-02-12T00:00:00Z","timestamp":1644624000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Typhoons are known for causing heavy precipitation, very strong winds, and storm surges. With climate change, the occurrence, strength, and duration of typhoons are changing. Daily, weekly, and monthly precipitation from in situ stations from the NOAA Global Historical Climatological Network (GHCN) were compared in the Western North Pacific from 2000 to 2018 against two widely used datasets: NASA\u2019s TRMM TMPA and PERSIANN-CDR. Additionally, precipitation levels during twenty-five typhoons were compared using precipitation estimates. There have been reductions in the average number of typhoons per year from 1959 to present and by month during the months of August, September, and October. Satellite-derived precipitation estimates from PERSIANN and TRMM TMPA explained approximately 50% of the variation in weekly cumulative precipitation and approximately 72% of the variation in monthly cumulative precipitation during the study period (March 2000\u2013December 2018) when using all available stations. When analysis was completed using only stations close to the best track for the entire duration of a typhoon, 62% of the variation was explained, which is comparable to the weekly and monthly cumulative comparisons. However, most of the stations available and with sufficient data were not located in the tracks of the typhoons. It is of utmost importance to better understand typhoon events by utilizing precipitation data from satellite remote sensing in the Western North Pacific.<\/jats:p>","DOI":"10.3390\/rs14040877","type":"journal-article","created":{"date-parts":[[2022,2,13]],"date-time":"2022-02-13T20:34:45Z","timestamp":1644784485000},"page":"877","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Comparing Precipitation during Typhoons in the Western North Pacific Using Satellite and In Situ Observations"],"prefix":"10.3390","volume":"14","author":[{"given":"Jessica R. P.","family":"Sutton","sequence":"first","affiliation":[{"name":"Department of Environmental Science and Studies, School of Mathematical and Natural Sciences, Berry College, 2277 Martha Berry Hwy NW, Mt. Berry, GA 30149, USA"}]},{"given":"Alexandra","family":"Jakobsen","sequence":"additional","affiliation":[{"name":"Department of Environmental Science and Studies, School of Mathematical and Natural Sciences, Berry College, 2277 Martha Berry Hwy NW, Mt. Berry, GA 30149, USA"}]},{"given":"Kathryn","family":"Lanyon","sequence":"additional","affiliation":[{"name":"Department of Environmental Science and Studies, School of Mathematical and Natural Sciences, Berry College, 2277 Martha Berry Hwy NW, Mt. Berry, GA 30149, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7431-9004","authenticated-orcid":false,"given":"Venkat","family":"Lakshmi","sequence":"additional","affiliation":[{"name":"Engineering Systems and Environment, School of Engineering and Applied Science, University of Virginia, 1827 University Avenue, Charlottesville, VA 22904, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1080\/00022470.1978.10470594","article-title":"The effects of precipitation on aquatic and terrestrial ecosystems: A proposed precipitation chemistry network","volume":"28","author":"Galloway","year":"1987","journal-title":"J. Air Pollut. 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