{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T03:11:42Z","timestamp":1772853102709,"version":"3.50.1"},"reference-count":64,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2021,2,28]],"date-time":"2021-02-28T00:00:00Z","timestamp":1614470400000},"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>The lack of measurement of precipitation in large areas using fine-resolution data is a limitation in water management, particularly in developing countries. However, Version 6 of the Integrated Multi-satellitE Retrievals for GPM (IMERG) has provided a new source of precipitation information with high spatial and temporal resolution. In this study, the performance of the GPM products (Final run) in the state of Paran\u00e1, located in the southern region of Brazil, from June 2000 to December 2018 was evaluated. The daily and monthly products of IMERG were compared to the gauge data spatially distributed across the study area. Quantitative and qualitative metrics were used to analyze the performance of IMERG products to detect precipitation events and anomalies. In general, the products performed positively in the estimation of monthly rainfall events, both in volume and spatial distribution, and demonstrated limited performance for daily events and anomalies, mainly in mountainous regions (coast and southwest). This may be related to the orographic rainfall in these regions, associating the intensity of the rain, and the topography. IMERG products can be considered as a source of precipitation data, especially on a monthly scale. Product calibrations are suggested for use on a daily scale and for time-series analysis.<\/jats:p>","DOI":"10.3390\/rs13050906","type":"journal-article","created":{"date-parts":[[2021,2,28]],"date-time":"2021-02-28T01:51:43Z","timestamp":1614477103000},"page":"906","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Evaluating the Latest IMERG Products in a Subtropical Climate: The Case of Paran\u00e1 State, Brazil"],"prefix":"10.3390","volume":"13","author":[{"given":"J\u00e9ssica","family":"G. Nascimento","sequence":"first","affiliation":[{"name":"Biosystems Engineering Department, College of Agriculture \u201cLuiz de Queiroz\u201d\u2014University of S\u00e3o Paulo (ESALQ\/USP), Av. P\u00e1dua Dias, 11, Piracicaba 13418-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5390-575X","authenticated-orcid":false,"given":"Daniel","family":"Althoff","sequence":"additional","affiliation":[{"name":"Agricultural Engineering Department, Federal University of Vi\u00e7osa (UFV), Av. Peter Henry Rolfs, s.n., Vi\u00e7osa 36570-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helizani","family":"C. Bazame","sequence":"additional","affiliation":[{"name":"Biosystems Engineering Department, College of Agriculture \u201cLuiz de Queiroz\u201d\u2014University of S\u00e3o Paulo (ESALQ\/USP), Av. P\u00e1dua Dias, 11, Piracicaba 13418-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"M. U. Neale","sequence":"additional","affiliation":[{"name":"Daugherty Water for Food Global Institute, University of Nebraska, Nebraska Innovation Campus, 2021 Transformation Dr. Street, 3220, Lincoln, NE 68588, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergio","family":"N. Duarte","sequence":"additional","affiliation":[{"name":"Biosystems Engineering Department, College of Agriculture \u201cLuiz de Queiroz\u201d\u2014University of S\u00e3o Paulo (ESALQ\/USP), Av. P\u00e1dua Dias, 11, Piracicaba 13418-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3585-2022","authenticated-orcid":false,"given":"Anderson","family":"L. Ruhoff","sequence":"additional","affiliation":[{"name":"Hydraulic Research Institute, Federal University of Rio Grande do Sul, Porto Alegre 91501-970, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8070-9292","authenticated-orcid":false,"given":"Ivo","family":"Z. Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"Biosystems Engineering Department, College of Agriculture \u201cLuiz de Queiroz\u201d\u2014University of S\u00e3o Paulo (ESALQ\/USP), Av. P\u00e1dua Dias, 11, Piracicaba 13418-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1002\/joc.4341","article-title":"Validation and comparison of a new gauge-based precipitation analysis over mainland China","volume":"36","author":"Shen","year":"2016","journal-title":"Int. J. Climatol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.atmosres.2016.02.020","article-title":"Early assessment of Integrated Multi-satellite Retrievals for Global Precipitation Measurement over China","volume":"176","author":"Guo","year":"2016","journal-title":"Atmos. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1175\/BAMS-D-11-00171.1","article-title":"Precipitation from Space: Advancing Earth System Science","volume":"94","author":"Kucera","year":"2013","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.atmosres.2011.10.021","article-title":"Global precipitation measurement: Methods, datasets and applications","volume":"104","author":"Tapiador","year":"2012","journal-title":"Atmos. Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1175\/BAMS-D-13-00164.1","article-title":"The Global Precipitation Measurement Mission","volume":"95","author":"Hou","year":"2014","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.atmosres.2017.02.006","article-title":"Assessment of satellite precipitation estimates over the slopes of the subtropical Andes","volume":"190","author":"Hobouchian","year":"2017","journal-title":"Atmos. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.atmosres.2014.11.017","article-title":"Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network","volume":"163","author":"Salio","year":"2015","journal-title":"Atmos. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1016\/j.jhydrol.2018.10.046","article-title":"Improving the use of ground-based radar rainfall data for monitoring and predicting floods in the Igua\u00e7u river basin","volume":"567","author":"Falck","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1175\/1520-0426(1998)015<0809:TTRMMT>2.0.CO;2","article-title":"The tropical rainfall measuring mission (TRMM) sensor pack-age","volume":"15","author":"Kummerow","year":"1998","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1175\/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2","article-title":"CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution","volume":"5","author":"Joyce","year":"2004","journal-title":"J. Hydrometeorol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1928","DOI":"10.1109\/TGRS.2018.2870199","article-title":"Gauge-Adjusted Global Satellite Mapping of Precipitation","volume":"57","author":"Mega","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/sdata.2015.66","article-title":"The climate hazards infrared precipitation with stations\u2014A new environmental record for monitoring extremes","volume":"2","author":"Funk","year":"2015","journal-title":"Sci. Data"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"589","DOI":"10.5194\/hess-21-589-2017","article-title":"MSWEP: 3-hourly 0.25\u00b0 global gridded precipitation (1979\u20132015) by merging gauge, satellite, and reanalysis data","volume":"21","author":"Beck","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1175\/JHM560.1","article-title":"The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales","volume":"8","author":"Huffman","year":"2007","journal-title":"J. Hydrometeorol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.jhydrol.2018.06.064","article-title":"Global intercomparison and regional evaluation of GPM IMERG Version-03, Version-04 and its latest Version-05 precipitation products: Similarity, difference and improvements","volume":"564","author":"Wang","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_16","unstructured":"Huffman, G.J., Bolvin, D.T., and Nelkin, E.J. (2020, February 02). Integrated Multi-SatellitE Retrievals for GPM (IMERG) Technical Documentation. NASA\/GSFC Code, Available online: http:\/\/pmm.nasa.gov\/sites\/default\/files\/document_files\/IMERG_doc.pdf."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.gloplacha.2015.08.013","article-title":"Evaluation of the TMPA-3B42 precipitation product using a high-density rain gauge network over complex terrain in northeastern Iberia","volume":"133","author":"McCabe","year":"2015","journal-title":"Glob. Planet. Chang."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"9426","DOI":"10.1002\/2015JD023797","article-title":"Performance evaluation of rainfall estimates by TRMM Multi-satellite Precipitation Analysis 3B42V6 and V7 over Brazil","volume":"120","author":"Melo","year":"2015","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.atmosres.2019.03.001","article-title":"Evaluation of the TRMM 3B42 and GPM IMERG products for extreme precipitation analysis over China","volume":"223","author":"Fang","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.atmosres.2018.12.001","article-title":"Grid box-level evaluation of IMERG over Brazil at various space and time scales","volume":"218","author":"Gadelha","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Chen, F., and Li, X. (2016). Evaluation of IMERG and TRMM 3B43 Monthly Precipitation Products over Mainland China. Remote Sens., 8.","DOI":"10.3390\/rs8060472"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1002\/2017EA000285","article-title":"The assessment of Global Precipitation Measurement estimates over the Indian subcontinent","volume":"4","author":"Krishna","year":"2017","journal-title":"Earth Space Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"125929","DOI":"10.1016\/j.jhydrol.2020.125929","article-title":"A comprehensive evaluation of GPM-IMERG V06 and MRMS with hourly ground-based precipitation observations across Canada","volume":"594","author":"Moazami","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2906","DOI":"10.1080\/01431161.2018.1433890","article-title":"Statistical comparison of satellite-retrieved precipitation products with rain gauge observations over Bangladesh","volume":"39","author":"Islam","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"248","DOI":"10.3390\/forecast2030014","article-title":"Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin","volume":"2","author":"Bhuiyan","year":"2020","journal-title":"Forecasting"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Oliveira, R., Maggioni, V., Vila, D., and Porcacchia, L. (2018). Using Satellite Error Modeling to Improve GPM-Level 3 Rainfall Estimates over the Central Amazon Region. Remote Sens., 10.","DOI":"10.3390\/rs10020336"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1175\/JHM-D-15-0068.1","article-title":"Comparison of Integrated Multisatellite Retrievals for GPM (IMERG) and TRMM Multisatellite Precipitation Analysis (TMPA) Monthly Precipitation Products: Initial Results","volume":"17","author":"Liu","year":"2016","journal-title":"J. Hydrometeorol."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Rozante, J.R., Vila, D.A., Barboza Chiquetto, J., Fernandes, A.D.A., and Souza Alvim, D. (2018). Evaluation of TRMM\/GPM blended daily products over Brazil. Remote Sens., 10.","DOI":"10.3390\/rs10060882"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"124376","DOI":"10.1016\/j.jhydrol.2019.124376","article-title":"Comparison analysis of six purely satellite-derived global precipitation estimates","volume":"581","author":"Chen","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_30","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_31","unstructured":"Huffman, G.J., Bolvin, D.T., Nelkin, E.J., and Tan, J. (2020, February 02). Integrated Multi-Satellite Retrievals for GPM (IMERG) Technical Documentation, Available online: https:\/\/docserver.gesdisc.eosdis.nasa.gov\/public\/project\/GPM\/IMERG_doc.06.pdf."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1007\/s00704-015-1391-4","article-title":"Changes in precipitation extremes in Brazil (Paran\u00e1 River Basin)","volume":"123","author":"Zandonadi","year":"2016","journal-title":"Theor. Appl. Clim."},{"key":"ref_33","unstructured":"ANA (2020, March 18). Conjuntura dos Recursos H\u00eddricos no Brasil 2017. Relat\u00f3rio Pleno\/Ag\u00eancia Nacional de \u00c1guas. Bras\u00edlia, Available online: http\/\/www.ana.gov.br."},{"key":"ref_34","unstructured":"IBGE-Instituto Brasileiro de Geografia e Estat\u00edstica (2020, May 08). Sinopse do Censo Demogr\u00e1fico Rio de Janeiro, Available online: https:\/\/www.in.gov.br\/en\/web\/dou\/-\/resolucao-n-3-de-26-de-agosto-de-2019-212912380."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1127\/0941-2948\/2013\/0507","article-title":"K\u00f6ppen\u2019s climate classification map for Brazil","volume":"22","author":"Alvares","year":"2013","journal-title":"Meteorol. Z."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3","DOI":"10.20502\/rbg.v7i2.74","article-title":"Mapeamento Geomorfol\u00f3gico do Estado do Paran\u00e1","volume":"7","author":"Santos","year":"2006","journal-title":"Rev. Bras. Geomorfol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"5929","DOI":"10.1175\/2007JCLI1684.1","article-title":"Connection between Spring Conditions and Peak Summer Monsoon Rainfall in South America: Role of Soil Moisture, Surface Temperature, and Topography in Eastern Brazil","volume":"20","author":"Grimm","year":"2007","journal-title":"J. Clim."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1007\/s00477-010-0420-1","article-title":"Interannual climate variability in South America: Impacts on seasonal precipitation, extreme events, and possible effects of climate change","volume":"25","author":"Grimm","year":"2010","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.atmosres.2019.03.025","article-title":"Evaluating the hydrological utility of latest IMERG products over the Upper Huaihe River Basin, China","volume":"225","author":"Su","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_40","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_41","doi-asserted-by":"crossref","unstructured":"Chen, C., Chen, Q., Duan, Z., Zhang, J., Mo, K., Li, Z., and Tang, G. (2018). Multiscale Comparative Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products from 2015 to 2017 over a Climate Transition Area of China. Remote Sens., 10.","DOI":"10.3390\/rs10060944"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Tan, M.L., and Duan, Z. (2017). Assessment of GPM and TRMM Precipitation Products over Singapore. Remote Sens., 9.","DOI":"10.3390\/rs9070720"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Shi, J., Yuan, F., Shi, C., Zhao, C., Zhang, L., Ren, L., Zhu, Y., Jiang, S., and Liu, Y. (2020). Statistical Evaluation of the Latest GPM-Era IMERG and GSMaP Satellite Precipitation Products in the Yellow River Source Region. Water, 12.","DOI":"10.3390\/w12041006"},{"key":"ref_44","first-page":"7","article-title":"Spatial patterns and fire response of recent Amazonian droughts","volume":"34","author":"Malhi","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Junior, C.H.L.S., Almeida, C.T., Santos, J.R.N., Anderson, L.O., Arag\u00e3o, L.E.O.C., and Silva, F.B. (2018). Spatiotemporal rainfall trends in the Brazilian legal amazon between the years 1998 and 2015. Water, 10.","DOI":"10.3390\/w10091220"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1111\/j.1469-8137.2010.03355.x","article-title":"Remote sensing detection of droughts in Amazonian forest canopies","volume":"187","author":"Anderson","year":"2010","journal-title":"New Phytol."},{"key":"ref_47","unstructured":"Lee, J., and Wong, D.W.S. (2001). Statistical Analysis with ArcView GIS, John Wiley and Sons, Inc."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"3041","DOI":"10.1007\/s00382-015-2751-6","article-title":"The role of synoptic and intraseasonal anomalies in the life cycle of summer rainfall ex-tremes over South America","volume":"46","author":"Hirata","year":"2016","journal-title":"Clim. Dyn."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1007\/s00382-004-0514-x","article-title":"Observed precipitation in the Paran\u00e1-Plata hydrological basin: Long-term trends, extreme conditions, and ENSO teleconnections","volume":"24","author":"Boulanger","year":"2005","journal-title":"Clim. Dyn."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2863","DOI":"10.1175\/1520-0442(1998)011<2863:PAISBA>2.0.CO;2","article-title":"Precipitation anomalies in southern Brazil associated with El Ni\u00f1o and La Ni\u00f1a events","volume":"11","author":"Grimm","year":"1998","journal-title":"J. Clim."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Terassi, P.M.D.B., and Galvani, E. (2017). Identification of Homogeneous Rainfall Regions in the Eastern Watersheds of the State of Paran\u00e1, Brazil. Climate, 5.","DOI":"10.3390\/cli5030053"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.atmosres.2018.02.010","article-title":"Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan","volume":"205","author":"Anjum","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1175\/JCLI3246.1","article-title":"Gridded Area-Averaged Daily Precipitation via Conditional Interpolation","volume":"18","author":"Hewitson","year":"2005","journal-title":"J. Clim."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"5266","DOI":"10.1002\/joc.6518","article-title":"Comparison between observations and gridded data sets over complex terrain in the Chilean Andes: Precipitation and temperature","volume":"40","author":"Schumacher","year":"2020","journal-title":"Int. J. Clim."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1501","DOI":"10.5194\/hess-19-1501-2015","article-title":"Scoping a field experiment: Error diagnostics of TRMM precipitation radar estimates in complex terrain as a basis for IPHEx","volume":"19","author":"Duan","year":"2015","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"4097","DOI":"10.1080\/01431160701772526","article-title":"Validation of high-resolution satellite rainfall products over complex terrain","volume":"29","author":"Dinku","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1007\/s00704-011-0509-6","article-title":"Validation of high-resolution TRMM-3B43 precipitation product using rain gauge measurements over Kyrgyzstan","volume":"108","author":"Karaseva","year":"2011","journal-title":"Theor. Appl. Clim."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Navarro, A., Garc\u00eda-Ortega, E., Merino, A., S\u00e1nchez, J.L., Kummerow, C., and Tapiador, F.J. (2019). Assessment of IMERG Precipitation Estimates over Europe. Remote Sens., 11.","DOI":"10.3390\/rs11212470"},{"key":"ref_59","first-page":"3","article-title":"O Clima Do Litoral Do Estado Do Paran\u00e1","volume":"3","author":"Vanhoni","year":"2008","journal-title":"Rev. Bras. de Clim."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1029\/2009JD011949","article-title":"Component analysis of errors in satellite-based precipitation estimates","volume":"114","author":"Tian","year":"2009","journal-title":"J. Geophys. Res. Space Phys."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"105068","DOI":"10.1016\/j.atmosres.2020.105068","article-title":"Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude","volume":"244","author":"Navarro","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/S0169-8095(03)00045-0","article-title":"The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data","volume":"67","author":"Brooks","year":"2003","journal-title":"Atmos. Res."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.atmosres.2016.10.012","article-title":"Climatology of destructive hailstorms in Brazil","volume":"184","author":"Martins","year":"2017","journal-title":"Atmos. Res."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"104747","DOI":"10.1016\/j.atmosres.2019.104747","article-title":"Climatology of hail in the triple border Paran\u00e1, Santa Catarina (Brazil) and Argentina","volume":"234","author":"Beal","year":"2020","journal-title":"Atmos. Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/5\/906\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:30:16Z","timestamp":1760160616000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/5\/906"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,28]]},"references-count":64,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2021,3]]}},"alternative-id":["rs13050906"],"URL":"https:\/\/doi.org\/10.3390\/rs13050906","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,28]]}}}