{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T03:20:16Z","timestamp":1772508016092,"version":"3.50.1"},"reference-count":49,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T00:00:00Z","timestamp":1551744000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["CGL2013-48367-P and CGL2016-80609-R."],"award-info":[{"award-number":["CGL2013-48367-P and CGL2016-80609-R."]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The convective rainfall rate from cloud physical properties (CRPh) algorithm for Meteosat second-generation satellites is a day-only precipitation algorithm developed at the Spanish Meteorological Agency (AEMET) for EUMETSAT\u2019 Satellite Application Facility in support of nowcasting and very short-range forecasting (NWC SAF). It is therefore mainly intended to provide input for monitoring and near-real-time forecasts for a few hours. This letter critically discusses the theoretical basis of the algorithm with special emphasis on the empirical values and assumptions in the microphysics of precipitation, and compares the qualitative performances of the CRPh with its antecessor, the convective rainfall rate algorithm (CRR), using an object-based method applied to a case-study. The analyses show that AEMET\u2019s CRPh is physically consistent and outperforms the CRR. The applicability of the algorithm for nowcasting and the challenges of improving the product to an all-day algorithm are also presented.<\/jats:p>","DOI":"10.3390\/rs11050527","type":"journal-article","created":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T11:19:50Z","timestamp":1551784790000},"page":"527","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second-Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6773-5250","authenticated-orcid":false,"given":"Francisco J.","family":"Tapiador","sequence":"first","affiliation":[{"name":"Earth and Space Science Research Group, Department of Environmental Sciences, Faculty of Environmental Sciences and Biochemistry, Institute of Environmental Sciences (ICAM), University of Castilla-La Mancha (UCLM), Avda. Carlos III s\/n, 45071 Toledo, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8861-7376","authenticated-orcid":false,"given":"Cecilia","family":"Marcos","sequence":"additional","affiliation":[{"name":"Agencia Estatal de Meteorolog\u00eda (AEMET), Headquarters. C\/ Leonardo Prieto, 28071 Madrid, Spain"}]},{"given":"Juan Manuel","family":"Sancho","sequence":"additional","affiliation":[{"name":"Agencia Estatal de Meteorolog\u00eda (AEMET), Headquarters. C\/ Leonardo Prieto, 28071 Madrid, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5702","DOI":"10.3390\/rs5115702","article-title":"Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain","volume":"5","year":"2013","journal-title":"Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Keramitsoglou, I., Kiranoudis, C., Sismanidis, P., and Zak\u0161ek, K. (2016). An Online System for Nowcasting Satellite Derived Temperatures for Urban Areas. Remote Sens., 8.","DOI":"10.3390\/rs8040306"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Bolgiani, P., Fernandez-Gonzalez, S., Martin, M.L., Valero, F., Merino, A., Garc\u00eda-Ortega, E., and Sanchez, J.L. (2017). Analysis and numerical simulation of an aircraft icing episode near Adolfo Suarez Madrid-Barajas International Airport. Atmos. 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