{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T04:37:17Z","timestamp":1774327037359,"version":"3.50.1"},"reference-count":44,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T00:00:00Z","timestamp":1614038400000},"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>This study investigates the applicability of Satellite Precipitation Products (SPPs) in near real-time for the simulation of sub-daily runoff in the Vilcanota River basin, located in the southeastern Andes of Peru. The data from rain gauge stations are used to evaluate the quality of Integrated Multi-satellite Retrievals for GPM\u2013Early (IMERG-E), Global Satellite Mapping of Precipitation\u2013Near Real-Time (GSMaP-NRT), Climate Prediction Center Morphing Method (CMORPH), and HydroEstimator (HE) at the pixel-station level; and these SPPs are used as meteorological inputs for the hourly hydrological modeling. The GR4H model is calibrated with the hydrometric station of the longest record, and model simulations are also verified at one station upstream and two stations downstream of the calibration point. Comparing the sub-daily precipitation data observed, the results show that the IMERG-E product generally presents higher quality, followed by GSMaP-NRT, CMORPH, and HE. Although the SPPs present positive and negative biases, ranging from mild to moderate, they do represent the diurnal and seasonal variability of the hourly precipitation in the study area. In terms of the average of Kling-Gupta metric (KGE), the GR4H_GSMaP-NRT\u2019 yielded the best representation of hourly discharges (0.686), followed by GR4H_IMERG-E\u2019 (0.623), GR4H_Ensemble-Mean (0.617) and GR4H_CMORPH\u2019 (0.606), and GR4H_HE\u2019 (0.516). Finally, the SPPs showed a high potential for monitoring floods in the Vilcanota basin in near real-time at the operational level. The results obtained in this research are very useful for implementing flood early warning systems in the Vilcanota basin and will allow the monitoring and short-term hydrological forecasting of floods by the Peruvian National Weather and Hydrological Service.<\/jats:p>","DOI":"10.3390\/rs13040826","type":"journal-article","created":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T20:19:36Z","timestamp":1614111576000},"page":"826","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Assessing Near Real-Time Satellite Precipitation Products for Flood Simulations at Sub-Daily Scales in a Sparsely Gauged Watershed in Peruvian Andes"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7462-2548","authenticated-orcid":false,"given":"Harold","family":"Llauca","sequence":"first","affiliation":[{"name":"Servicio Nacional de Meteorolog\u00eda e Hidrolog\u00eda del Per\u00fa (SENAMHI), Lima 15072, Peru"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0051-0743","authenticated-orcid":false,"given":"Waldo","family":"Lavado-Casimiro","sequence":"additional","affiliation":[{"name":"Servicio Nacional de Meteorolog\u00eda e Hidrolog\u00eda del Per\u00fa (SENAMHI), Lima 15072, Peru"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0761-5353","authenticated-orcid":false,"given":"Karen","family":"Le\u00f3n","sequence":"additional","affiliation":[{"name":"Servicio Nacional de Meteorolog\u00eda e Hidrolog\u00eda del Per\u00fa (SENAMHI), Lima 15072, Peru"}]},{"given":"Juan","family":"Jimenez","sequence":"additional","affiliation":[{"name":"Servicio Nacional de Meteorolog\u00eda e Hidrolog\u00eda del Per\u00fa (SENAMHI), Lima 15072, Peru"}]},{"given":"Kevin","family":"Traverso","sequence":"additional","affiliation":[{"name":"Servicio Nacional de Meteorolog\u00eda e Hidrolog\u00eda del Per\u00fa (SENAMHI), Lima 15072, Peru"}]},{"given":"Pedro","family":"Rau","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier\u00eda Ambiental, Centro de Investigaci\u00f3n y Tecnolog\u00eda del Agua (CITA), Universidad de Ingenier\u00eda y Tecnolog\u00eda (UTEC), Lima 15063, Peru"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"475","DOI":"10.5194\/nhess-15-475-2015","article-title":"How useful and reliable are disaster databases in the context of climate and global change? A comparative case study analysis in Peru","volume":"15","author":"Huggel","year":"2015","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Min, X., Yang, C., and Dong, N. (2020). Merging Satellite and Gauge Rainfalls for Flood Forecasting of Two Catchments Under Different Climate Conditions. Water, 12.","DOI":"10.3390\/w12030802"},{"key":"ref_3","unstructured":"INDECI (2012). Evaluaci\u00f3n Del Impacto Socio-Econ\u00f3mico de la Temporada de Lluvias 2010 en la Regi\u00f3n Cusco."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Belabid, N., Zhao, F., Brocca, L., Huang, Y., and Tan, Y. (2019). Near-Real-Time Flood Forecasting Based on Satellite Precipitation Products. Remote Sens., 11.","DOI":"10.3390\/rs11030252"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2693","DOI":"10.1002\/2013WR014710","article-title":"Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model","volume":"50","author":"Wu","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s11069-008-9324-5","article-title":"Evaluation of the real-time TRMM-based multi-satellite precipitation analysis for an operational flood prediction system in Nzoia Basin, Lake Victoria, Africa","volume":"50","author":"Li","year":"2009","journal-title":"Nat. Hazards"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1080\/02626667.2019.1649411","article-title":"Construction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present day","volume":"65","author":"Aybar","year":"2020","journal-title":"Hydrol. Sci. J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.jhydrol.2013.07.012","article-title":"Hydrological evaluation of satellite-based rainfall estimates over the Volta and Baro-Akobo Basin","volume":"499","author":"Thiemig","year":"2013","journal-title":"J. Hydrol."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ma, Z., Tan, X., Yang, Y., Chen, X., Kan, G., Ji, X., Lu, H., Long, J., Cui, Y., and Hong, Y. (2018). The First Comparisons of IMERG and the Downscaled Results Based on IMERG in Hydrological Utility over the Ganjiang River Basin. Water, 10.","DOI":"10.3390\/w10101392"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.jhydrol.2018.01.039","article-title":"On the performance of satellite precipitation products in riverine flood modeling: A review","volume":"558","author":"Maggioni","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2043","DOI":"10.1080\/02626667.2013.862336","article-title":"Water resources and climate change impact modelling on a daily time scale in the Peruvian Andes","volume":"59","author":"Andres","year":"2014","journal-title":"Hydrol. Sci. J."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1175\/JHM-D-13-094.1","article-title":"A Comparative Performance Analysis of TRMM 3B42 (TMPA) Versions 6 and 7 for Hydrological Applications over Andean\u2013Amazon River Basins","volume":"15","author":"Zulkafli","year":"2014","journal-title":"J. Hydrometeorol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3543","DOI":"10.5194\/hess-21-3543-2017","article-title":"Hydrological modeling of the Peruvian-Ecuadorian Amazon Basin using GPM-IMERG satellite-based precipitation dataset","volume":"21","author":"Zubieta","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.atmosres.2015.07.012","article-title":"Assessment of satellite rainfall products over the Andean plateau","volume":"167","author":"Bonnet","year":"2016","journal-title":"Atmos. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1002\/asl.274","article-title":"Propagation of uncertainty from observing systems into NWP: COST-731 Working Group 1","volume":"11","author":"Rossa","year":"2010","journal-title":"Atmos. Sci. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1002\/met.1762","article-title":"How significant is sub-daily variability of rainfall for hydrological modelling of floods? A satellite based approach to sub-daily downscaling of gauged rainfall","volume":"26","author":"Shrestha","year":"2019","journal-title":"Meteorol. Appl."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Mei, Y., Nikolopoulos, E.I., Anagnostou, E.N., Zoccatelli, D., and Borga, M. (2016). Error Analysis of Satellite Precipitation-Driven Modeling of Flood Events in Complex Alpine Terrain. Remote Sens., 8.","DOI":"10.3390\/rs8040293"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1007\/s11069-006-9106-x","article-title":"Flood and landslide applications of near real-time satellite rainfall products","volume":"43","author":"Hong","year":"2007","journal-title":"Nat. Hazards"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"12517","DOI":"10.1038\/s41598-020-69343-x","article-title":"River flow prediction in data scarce regions: Soil moisture integrated satellite rainfall products outperform rain gauge observations in West Africa","volume":"10","author":"Brocca","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"105","DOI":"10.2166\/nh.2019.071","article-title":"Evaluation of bias-adjusted satellite precipitation estimations for extreme flood events in Langat river basin, Malaysia","volume":"51","author":"Soo","year":"2020","journal-title":"Hydrol. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"6688","DOI":"10.3390\/rs6076688","article-title":"Effect of Bias Correction of Satellite-Rainfall Estimates on Runoff Simulations at the Source of the Upper Blue Nile","volume":"6","author":"Habib","year":"2014","journal-title":"Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"063115","DOI":"10.1063\/5.0008195","article-title":"Forecasting of extreme flood events using different satellite precipitation products and wavelet-based machine learning methods","volume":"30","author":"Yeditha","year":"2020","journal-title":"Chaos"},{"key":"ref_23","unstructured":"Moine, N. (2008). Le Bassin Versant De Surface Vu Par le Souterrain: Une voie D\u2019am\u00e9lioration Des Performances Et Du R\u00e9alisme Des Mod\u00e8les Pluie-D\u00e9bit?. [Ph.D. Thesis, Universit\u00e9 Pierre et Marie]."},{"key":"ref_24","unstructured":"Caligiuri, S., Camera, C., Masetti, M., Bruggeman, A., and Sofokleous, I. (2020, January 16). Testing GR4H Model Parameter Transferability for Extreme Events in Cyprus: Evaluation of a Cluster Analysis Approach. Proceedings of the Geophysical Research Abstracts, Available online: search.ebscohost.com."},{"key":"ref_25","first-page":"29","article-title":"Hydrological Modelling of Surface Runoff for Temengor Reservoir Using GR4H Model","volume":"10","author":"Basri","year":"2019","journal-title":"Int. J. Civ. Eng. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1308","DOI":"10.1016\/j.jhydrol.2019.05.084","article-title":"Hydrological modelling at multiple sub-daily time steps: Model improvement via flux-matching","volume":"575","author":"Perrin","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"3721","DOI":"10.1002\/hyp.8097","article-title":"Assessment of climate change impacts on the hydrology of the Peruvian Amazon-Andes basin","volume":"25","author":"Labat","year":"2011","journal-title":"Hydrol. Process."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"103","DOI":"10.5194\/tc-7-103-2013","article-title":"Glacier changes and climate trends derived from multiple sources in the data scarce Cordillera Vilcanota region, southern Peruvian Andes","volume":"7","author":"Salzmann","year":"2013","journal-title":"Cryosphere"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1002\/wat2.1105","article-title":"The changing water cycle: Climatic and socioeconomic drivers of water-related changes in the Andes of Peru","volume":"2","author":"Drenkhan","year":"2015","journal-title":"Wiley Interdiscip. Rev. Water"},{"key":"ref_30","first-page":"47","article-title":"Integrated Multi-satellitE Retrievals for GPM (IMERG) technical documentation","volume":"612","author":"Huffman","year":"2015","journal-title":"NASA\/GSFC Code"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Levizzani, V., Kidd, C., Kirschbaum, D.B., Kummerow, C.D., Nakamura, K., and Turk, F.J. (2020). Global Satellite Mapping of Precipitation (GSMaP) Products in the GPM Era. Satellite Precipitation Measurement: Volume 1, Springer International Publishing.","DOI":"10.1007\/978-3-030-35798-6"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1175\/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2","article-title":"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_33","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1175\/1520-0434(2003)018<1037:SAOOOS>2.0.CO;2","article-title":"Status and Outlook of Operational Satellite Precipitation Algorithms for Extreme-Precipitation Events","volume":"18","author":"Scofield","year":"2003","journal-title":"Weather Forecast"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2489","DOI":"10.1002\/joc.3855","article-title":"Combined use of satellite estimates and rain gauge observations to generate high-quality historical rainfall time series over Ethiopia","volume":"34","author":"Dinku","year":"2014","journal-title":"Int. J. Climatol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/S0022-1694(03)00225-7","article-title":"Improvement of a parsimonious model for streamflow simulation","volume":"279","author":"Perrin","year":"2003","journal-title":"J. Hydrol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1887","DOI":"10.1002\/wrcr.20169","article-title":"Assimilation of stream discharge for flood forecasting: The benefits of accounting for routing time lags","volume":"49","author":"Li","year":"2013","journal-title":"Water Resour. Res."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1080\/00221686909500264","article-title":"On The Subject Of A Flood Propagation Computation Method (Musklngum Method)","volume":"7","author":"Cunge","year":"1969","journal-title":"J. Hydraul. Res."},{"key":"ref_38","unstructured":"Hargreaves, G.H., and Samani, Z.A. (1985, January 17). Reference Crop Evapotranspiration from Ambient Air Temperature. Proceedings of the American Society of Agricultural Engineers Meeting (Paper 85-2517), Chicago, IL, USA."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.envsoft.2017.05.002","article-title":"The suite of lumped GR hydrological models in an R package","volume":"94","author":"Coron","year":"2017","journal-title":"Environ. Model. Softw."},{"key":"ref_40","unstructured":"Duan, Q.Y., Gupta, V.K., and Sorooshian, S. (1993). Effective and Efficient Global Minimization. J. Optim. Theory Appl."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.jhydrol.2009.08.003","article-title":"Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling","volume":"377","author":"Gupta","year":"2009","journal-title":"J. Hydrol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1034","DOI":"10.1016\/j.envsoft.2006.06.008","article-title":"HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts","volume":"22","author":"Dawson","year":"2007","journal-title":"Environ. Model. Softw."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1029\/2006WR005756","article-title":"Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework","volume":"43","author":"Liu","year":"2007","journal-title":"Water Resour. Res."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Yuan, F., Zhang, L., Soe, K.M.W., Ren, L., Zhao, C., Zhu, Y., Jiang, S., and Liu, Y. (2019). Applications of TRMM- and GPM-Era Multiple-Satellite Precipitation Products for Flood Simulations at Sub-Daily Scales in a Sparsely Gauged Watershed in Myanmar. Remote Sens., 11.","DOI":"10.3390\/rs11020140"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/4\/826\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:27:19Z","timestamp":1760160439000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/4\/826"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,23]]},"references-count":44,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["rs13040826"],"URL":"https:\/\/doi.org\/10.3390\/rs13040826","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,23]]}}}