{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T05:36:01Z","timestamp":1768800961029,"version":"3.49.0"},"reference-count":55,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2018,7,20]],"date-time":"2018-07-20T00:00:00Z","timestamp":1532044800000},"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>Hurricanes and other severe coastal storms have become more frequent and destructive during recent years. Hurricane Harvey, one of the most extreme events in recent history, advanced as a category IV storm and brought devastating rainfall to the Houston, TX, region during 25\u201329 August 2017. It inflicted damage of more than $125 billion to the state of Texas infrastructure and caused multiple fatalities in a very short period of time. Rainfall totals from Harvey during the 5-day period were among the highest ever recorded in the United States. Study of this historical devastating event can lead to better preparation and effective reduction of far-reaching consequences of similar events. Precipitation products based on satellites observations can provide valuable information needed to understand the evolution of such devastating storms. In this study, the ability of recent Integrated Multi-satellitE Retrievals for Global Precipitation Mission (GPM-IMERG) final-run product to capture the magnitudes and spatial (0.1\u00b0 \u00d7 0.1\u00b0)\/temporal (hourly) patterns of rainfall resulting from hurricane Harvey was evaluated. Hourly gridded rainfall estimates by ground radar (4 \u00d7 4 km) were used as a reference dataset. Basic and probabilistic statistical indices of the satellite rainfall products were examined. The results indicated that the performance of IMERG product was satisfactory in detecting the spatial variability of the storm. It reconstructed precipitation with nearly 62% accuracy, although it systematically under-represented rainfall in coastal areas and over-represented rainfall over the high-intensity regions. Moreover, while the correlation between IMERG and radar products was generally high, it decreased significantly at and around the storm core.<\/jats:p>","DOI":"10.3390\/rs10071150","type":"journal-article","created":{"date-parts":[[2018,7,23]],"date-time":"2018-07-23T03:24:27Z","timestamp":1532316267000},"page":"1150","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["How Well Can Global Precipitation Measurement (GPM) Capture Hurricanes? Case Study: Hurricane Harvey"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1634-7354","authenticated-orcid":false,"given":"Ehsan","family":"Omranian","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Texas at San Antonio, San Antonio, TX 78249, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9805-8080","authenticated-orcid":false,"given":"Hatim O.","family":"Sharif","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Texas at San Antonio, San Antonio, TX 78249, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2163-2627","authenticated-orcid":false,"given":"Ahmad A.","family":"Tavakoly","sequence":"additional","affiliation":[{"name":"Coastal and Hydraulics Laboratory, U.S. Army Engineer Research and Development Center, 5825 University Research Ct suite 4001, College Park, MD 20740, USA"}]}],"member":"1968","published-online":{"date-parts":[[2018,7,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1002\/met.284","article-title":"Global precipitation measurement","volume":"18","author":"Kidd","year":"2011","journal-title":"Meteorol. Appl."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1175\/JHM-D-11-042.1","article-title":"Intercomparison of high-resolution precipitation products over northwest europe","volume":"13","author":"Kidd","year":"2011","journal-title":"J. Hydrometeorol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1002\/joc.4045","article-title":"Precipitation bias variability versus various gauges under different climatic conditions over the third pole environment (tpe) region","volume":"35","author":"Ma","year":"2015","journal-title":"Int. J. Climatol."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Ma, Y., Tang, G., Long, D., Yong, B., Zhong, L., Wan, W., and Hong, Y. (2016). Similarity and error intercomparison of the gpm and its predecessor-trmm multisatellite precipitation analysis using the best available hourly gauge network over the tibetan plateau. Remote Sens., 8.","DOI":"10.3390\/rs8070569"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"865","DOI":"10.1016\/j.jhydrol.2016.01.029","article-title":"A preliminary assessment of gpm-based multi-satellite precipitation estimates over a monsoon dominated region","volume":"556","author":"Prakash","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1016\/j.jhydrol.2017.11.036","article-title":"Comparison of new generation low-complexity flood inundation mapping tools with a hydrodynamic model","volume":"556","author":"Afshari","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.atmosres.2017.07.011","article-title":"A phenomenological relationship between vertical air motion and disdrometer derived a-b coefficients","volume":"208","author":"Lane","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_8","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_9","doi-asserted-by":"crossref","unstructured":"Liu, G., and Schwartz, F.W. (2012). Climate-driven variability in lake and wetland distribution across the prairie pothole region: From modern observations to long-term reconstructions with space-for-time substitution. Water Resour. Res., 48.","DOI":"10.1029\/2011WR011539"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Javaheri, A., Nabatian, M., Omranian, E., Babbar-Sebens, M., and Noh, J.S. (2018). Merging real-time channel sensor networks with continental-scale hydrologic models: A data assimilation approach for improving accuracy in flood depth predictions. Hydrology, 5.","DOI":"10.3390\/hydrology5010009"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1016\/j.atmosres.2009.08.017","article-title":"Precipitation: Measurement, remote sensing, climatology and modeling","volume":"94","author":"Michaelides","year":"2009","journal-title":"Atmos. Res."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Omranian, E., and Sharif, H.O. (2018). Evaluation of the global precipitation measurement (gpm) satellite rainfall products over the lower colorado river basin, texas. J. Am. Water Resour. Assoc.","DOI":"10.1111\/1752-1688.12610"},{"key":"ref_13","unstructured":"Afshari, S., Omranian, E., and Feng, D. (2016). Relative sensitivity of flood inundation extent by different physical and semi-empirical models. Natl. Water Center Innov. Program Summer Inst. Tech. Rep., 19\u201324."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1175\/1520-0442(1996)009<0840:AOGMPU>2.0.CO;2","article-title":"Analyses of global monthly precipitation using gauge observations, satellite estimates, and numerical model predictions","volume":"9","author":"Xie","year":"1996","journal-title":"J. Clim."},{"key":"ref_15","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_16","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.jhydrol.2013.07.023","article-title":"Multi-scale evaluation of high-resolution multi-sensor blended global precipitation products over the yangtze river","volume":"500","author":"Li","year":"2013","journal-title":"J. Hydrol."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Mishra, A.K., and Coulibaly, P. (2009). Developments in hydrometric network design: A review. Rev. Geophys., 47.","DOI":"10.1029\/2007RG000243"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1669","DOI":"10.1256\/qj.05.190","article-title":"Radar precipitation measurement in a mountainous region","volume":"132","author":"Germann","year":"2006","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"808","DOI":"10.1175\/2008WAF2007071.1","article-title":"Rapid sampling of severe storms by the national weather radar testbed phased array radar","volume":"23","author":"Heinselman","year":"2008","journal-title":"Weather Forecast."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1175\/2008MWR2691.1","article-title":"A multicase comparative assessment of the ensemble kalman filter for assimilation of radar observations. Part i: Storm-scale analyses","volume":"137","author":"Aksoy","year":"2009","journal-title":"Mon. Weather Rev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.atmosres.2011.06.001","article-title":"Winter precipitation fields in the southeastern mediterranean area as seen by the ku-band spaceborne weather radar and two c-band ground-based radars","volume":"119","author":"Gabella","year":"2013","journal-title":"Atmos. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"15-11","DOI":"10.1029\/2001WR000525","article-title":"Numerical simulations of radar rainfall error propagation","volume":"38","author":"Sharif","year":"2002","journal-title":"Water Resour. Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1778","DOI":"10.1175\/JHM-D-13-0194.1","article-title":"Error analysis of satellite precipitation products in mountainous basins","volume":"15","author":"Mei","year":"2014","journal-title":"J. Hydrometeorol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2190","DOI":"10.1175\/JHM-D-14-0058.1","article-title":"Mass-conserving remapping of radar data onto two-dimensional cartesian coordinates for hydrologic applications","volume":"15","author":"Sharif","year":"2014","journal-title":"J. Hydrometeorol."},{"key":"ref_25","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_26","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/978-3-540-75384-1_7","article-title":"Advancing the use of satellite rainfall datasets for flood prediction in ungauged basins: The role of scale, hydrologic process controls and the global precipitation measurement mission","volume":"Volume 79","author":"Cai","year":"2008","journal-title":"Quantitative Information Fusion for Hydrological Sciences"},{"key":"ref_27","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_28","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_29","doi-asserted-by":"crossref","first-page":"3943","DOI":"10.1080\/01431161.2017.1312031","article-title":"Downscaling chirps precipitation data: An artificial neural network modelling approach","volume":"38","author":"Retalis","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.advwatres.2015.11.008","article-title":"From trmm to gpm: How well can heavy rainfall be detected from space?","volume":"88","author":"Prakash","year":"2016","journal-title":"Adv. Water Resour."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"3859","DOI":"10.1002\/2016JD026037","article-title":"Bias adjustment of infrared-based rainfall estimation using passive microwave satellite rainfall data","volume":"122","author":"Karbalaee","year":"2017","journal-title":"J. Geophys. Res.-Atmos."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Sharifi, E., Steinacker, R., and Saghafian, B. (2016). Assessment of gpm-imerg and other precipitation products against gauge data under different topographic and climatic conditions in iran: Preliminary results. Remote Sens., 8.","DOI":"10.3390\/rs8020135"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2799","DOI":"10.1175\/JHM-D-16-0087.1","article-title":"First-year evaluation of gpm rainfall over the netherlands: Imerg day 1 final run (v03d)","volume":"17","author":"Gaona","year":"2016","journal-title":"J. Hydrometeorol."},{"key":"ref_34","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_35","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1002\/2016JD025418","article-title":"Ground validation of gpm imerg and trmm 3b42v7 rainfall products over southern tibetan plateau based on a high-density rain gauge network","volume":"122","author":"Xu","year":"2017","journal-title":"J. Geophys. Res.-Atmos."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.atmosres.2016.07.020","article-title":"Statistical assessment and hydrological utility of the latest multi-satellite precipitation analysis imerg in ganjiang river basin","volume":"183","author":"Li","year":"2017","journal-title":"Atmos. Res."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1784","DOI":"10.1175\/JHM-D-12-017.1","article-title":"Evaluation of the high-resolution cmorph satellite rainfall product using dense rain gauge observations and radar-based estimates","volume":"13","author":"Habib","year":"2012","journal-title":"J. Hydrometeorol."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Chen, S., Liu, H., You, Y., Mullens, E., Hu, J., Yuan, Y., Huang, M., He, L., Luo, Y., and Zeng, X. (2014). Evaluation of high-resolution precipitation estimates from satellites during july 2012 beijing flood event using dense rain gauge observations. PLoS ONE.","DOI":"10.1371\/journal.pone.0089681"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.1175\/JHM-D-14-0174.1","article-title":"Evaluation of the persiann-cdr daily rainfall estimates in capturing the behavior of extreme precipitation events over china","volume":"16","author":"Miao","year":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.jaridenv.2013.05.013","article-title":"Evaluation of satellite-based precipitation estimation over iran","volume":"97","author":"Nasrollahi","year":"2013","journal-title":"J. Arid Environ."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Chen, Z., Qin, Y., Shen, Y., and Zhang, S. (2016). Evaluation of global satellite mapping of precipitation project daily precipitation estimates over the chinese mainland. Adv. Meteorol., 2016.","DOI":"10.1155\/2016\/9365294"},{"key":"ref_42","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":"2009","journal-title":"J. Hydrometeorol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/s11069-016-2335-8","article-title":"Analysis of precipitation extremes based on satellite (chirps) and in situ dataset over cyprus","volume":"83","author":"Katsanos","year":"2016","journal-title":"Nat. Hazards"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1002\/2013JD019964","article-title":"Similarity and difference of the two successive V6 and V7 TRMM multisatellite precipitation analysis performance over China","volume":"118","author":"Chen","year":"2013","journal-title":"J. Geophys. Res.-Atmos."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2184","DOI":"10.1002\/jgrd.50250","article-title":"Evaluation of trmm 3b42 precipitation estimates of tropical cyclone rainfall using pacrain data","volume":"118","author":"Chen","year":"2013","journal-title":"J. Geophys. Res.-Atmos."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Shrestha, R., Houser, P.R., and Anantharaj, V.G. (2011). An optimal merging technique for high-resolution precipitation products. J. Adv. Model. Earth Syst., 3.","DOI":"10.1029\/2011MS000062"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"S9","DOI":"10.1175\/BAMS-D-16-0166.1","article-title":"What history tells us about 2015 US daily rainfall extremes","volume":"97","author":"Wolter","year":"2016","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_48","unstructured":"Craig, R.K. (2018, February 23). Harvey, Irma, and the NFIP: Did the 2017 Hurricane Season Matter to Flood Insurance Reauthorization?. Available online: https:\/\/ssrn.com\/abstract=3129088."},{"key":"ref_49","unstructured":"Costliest U.S. (2018, January 26). Tropical Cyclones Tables Updated, Available online: https:\/\/www.nhc.noaa.gov\/news\/UpdatedCostliest.pdf."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.aap.2018.03.030","article-title":"Exploring rainfall impacts on the crash risk on texas roadways: A crash-based matched-pairs analysis approach","volume":"117","author":"Omranian","year":"2018","journal-title":"Accid. Anal. Prev."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"340","DOI":"10.2747\/0272-3646.26.5.340","article-title":"Extreme rainfall in texas: Patterns and predictability","volume":"26","author":"Zhang","year":"2005","journal-title":"Phys. Geogr."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.ejrh.2017.12.001","article-title":"Hydrometeorology of the catastrophic Blanco river flood in South Texas, May 2015","volume":"15","author":"Furl","year":"2018","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_53","unstructured":"Lin, Y., and Mitchell, K.E. (2018, June 12). The NCEP Stage II\/IV Hourly Precipitation Analysis: Development and Applications. Available online: https:\/\/ams.confex.com\/ams\/Annual2005\/techprogram\/paper_83847.htm."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Dos Reis, B.J., Renn\u00f3, D.C., and Lopes, S.E. (2017). Validation of satellite rainfall products over a mountainous watershed in a humid subtropical climate region of brazil. Remote Sens., 9.","DOI":"10.3390\/rs9121240"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1148","DOI":"10.1175\/WAF1041.1","article-title":"A note on the maximum peirce skill score","volume":"22","author":"Manzato","year":"2007","journal-title":"Weather Forecast."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/7\/1150\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:13:25Z","timestamp":1760195605000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/7\/1150"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,20]]},"references-count":55,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2018,7]]}},"alternative-id":["rs10071150"],"URL":"https:\/\/doi.org\/10.3390\/rs10071150","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,20]]}}}