{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T10:51:07Z","timestamp":1775472667921,"version":"3.50.1"},"reference-count":121,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2023,2,18]],"date-time":"2023-02-18T00:00:00Z","timestamp":1676678400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014563","name":"Universitas Andalas","doi-asserted-by":"publisher","award":["T\/17\/UN.16.17\/PT.01.03\/IS-RPB\/2022"],"award-info":[{"award-number":["T\/17\/UN.16.17\/PT.01.03\/IS-RPB\/2022"]}],"id":[{"id":"10.13039\/501100014563","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014563","name":"Universitas Andalas","doi-asserted-by":"publisher","award":["GUP-2019-035"],"award-info":[{"award-number":["GUP-2019-035"]}],"id":[{"id":"10.13039\/501100014563","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004515","name":"Universiti Kebangsaan Malaysia","doi-asserted-by":"publisher","award":["T\/17\/UN.16.17\/PT.01.03\/IS-RPB\/2022"],"award-info":[{"award-number":["T\/17\/UN.16.17\/PT.01.03\/IS-RPB\/2022"]}],"id":[{"id":"10.13039\/501100004515","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004515","name":"Universiti Kebangsaan Malaysia","doi-asserted-by":"publisher","award":["GUP-2019-035"],"award-info":[{"award-number":["GUP-2019-035"]}],"id":[{"id":"10.13039\/501100004515","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study is a preliminary assessment of the latest version of the Global Satellite Measurement of Precipitation (GSMaP version 08) data, which were released in December 2021, for the Indonesian Maritime Continent (IMC), using rain gauge (RG) observations from December 2021 to June 2022. Assessments were carried out with 586 rain gauge (RG) stations using a point-to-pixel approach through continuous statistical and contingency table metrics. It was found that the coefficient correlation (CC) of GSMaP version 08 products against RG observations varied between low (CC = 0.14\u20130.29), moderate (CC = 0.33\u20130.45), and good correlation (CC = 0.72\u20130.75), for the hourly, daily, and monthly scales with a tendency to overestimate, indicated by a positive relative bias (RB). Even though the correlation of hourly data is still low, GSMaP can still capture diurnal patterns in the IMC, as indicated by the compatibility of the estimated peak times for the precipitation amount and frequency. GSMaP data also manage to observe heavy rainfall, as indicated by the good of detection (POD) values for daily data ranging from probability 0.71 to 0.81. Such a good POD value of daily data is followed by a relatively low false alarm ratio (FAR) (FAR &lt; 0.5). However, the GSMaP overestimates light rainfall (R &lt; 1 mm\/day); as a consequence, it overestimates the consecutive wet days (CWD) and number of days with rainfall \u2265 1 mm (R1mm) indices, and underestimates the consecutive dry days (CDD) extreme rain index. GSMaP daily data accuracy depends on IMC\u2019s topographic conditions, especially for GSMaP real-time data. Of all GSMaP version 08 products evaluated, outperformed post-real-time non-gauge-calibrated (GSMaP_MVK), and followed by post-real-time gauge-calibrated (GSMaP_Gauge), near-real-time gauge-calibrated (GSMaP_NRT_G), near-real-time non-gauge-calibrated (GSMaP_NRT), real-time gauge-calibrated (GSMaP_Now_G), and real-time non-gauge-calibrated (GSMaP_Now). Thus, GSMaP near-real-time data have the potential for observing rainfall in IMC with faster latency.<\/jats:p>","DOI":"10.3390\/rs15041115","type":"journal-article","created":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T01:36:37Z","timestamp":1676856997000},"page":"1115","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["A Preliminary Assessment of the GSMaP Version 08 Products over Indonesian Maritime Continent against Gauge Data"],"prefix":"10.3390","volume":"15","author":[{"given":"Ravidho","family":"Ramadhan","sequence":"first","affiliation":[{"name":"Department of Physics, Universitas Andalas, Padang 25163, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0266-812X","authenticated-orcid":false,"given":"Marzuki","family":"Marzuki","sequence":"additional","affiliation":[{"name":"Department of Physics, Universitas Andalas, Padang 25163, Indonesia"}]},{"given":"Helmi","family":"Yusnaini","sequence":"additional","affiliation":[{"name":"Department of Physics, Universitas Andalas, Padang 25163, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1590-7487","authenticated-orcid":false,"given":"Robi","family":"Muharsyah","sequence":"additional","affiliation":[{"name":"Agency for Meteorology, Climatology and Geophysics of Republic Indonesia, Jakarta 10610, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4919-1800","authenticated-orcid":false,"given":"Fredolin","family":"Tangang","sequence":"additional","affiliation":[{"name":"Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia"}]},{"given":"Mutya","family":"Vonnisa","sequence":"additional","affiliation":[{"name":"Department of Physics, Universitas Andalas, Padang 25163, Indonesia"}]},{"given":"Harmadi","family":"Harmadi","sequence":"additional","affiliation":[{"name":"Department of Physics, Universitas Andalas, Padang 25163, Indonesia"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,18]]},"reference":[{"key":"ref_1","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_2","doi-asserted-by":"crossref","first-page":"595","DOI":"10.5194\/hess-23-595-2019","article-title":"Consistency of Satellite-Based Precipitation Products in Space and over Time Compared with Gauge Observations and Snow- Hydrological Modelling in the Lake Titicaca Region","volume":"23","author":"Ruelland","year":"2019","journal-title":"Hydrol. 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