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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 [chapter]

Faisal Hossain, Nitin Katiyar
2008 Studies in Computational Intelligence  
definitive role in dictating the optimal use of satellite rainfall data for flood prediction.  ...  This is a promising finding as it would allow a more reliable investigation of the optimality criterion for using satellite rainfall data in hydrologic models.  ... 
doi:10.1007/978-3-540-75384-1_7 fatcat:4jnkxr74ozhlfkyeq23ikbfyai


2018 Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering)  
The Integrated Flood Analysis Model (IFAS), a distributed hydrological model, developed by the International Center for Water Hazard and Risk Management (ICHARM) was utilized to assess runoff from a flood  ...  event using two satellite-based rainfall products: Global Satellite of Mapping Precipitation (GSMaP): Near Real Time (NRT) and Tropical Rainfall Measuring Mission (TRMM):3B42RT V7.  ...  ACKNOWLEDGMENT: The author would like to thank the Meteorological Department and Royal Irrigation Department of Thailand for providing the rain gauge and hydrologic runoff station data.  ... 
doi:10.2208/jscejhe.74.i_73 fatcat:dutimorzrjbaloviadt7lbd4iq

Neural networks and non-parametric methods for improving real-time flood forecasting through conceptual hydrological models

A. Brath, A. Montanari, E. Toth
2002 Hydrology and Earth System Sciences  
Such techniques are applied for forecasting the short-term future rainfall to be used as real-time input in a rainfall-runoff model and for updating the discharge predictions provided by the model.  ...  Time-series analysis techniques for improving the real-time flood forecasts issued by a deterministic lumped rainfall-runoff model are presented.  ...  The rainfall-runoff modelling approaches generally used for real-time flood predictions in small and medium size basins are either black-box (or system-theoretic) or conceptual.  ... 
doi:10.5194/hess-6-627-2002 fatcat:onhxexqi5zcqdglmkmfezikzqa

Mathematical Modeling of Watershed Hydrology

Vijay P. Singh, David A. Woolhiser
2002 Journal of hydrologic engineering  
Finally, some remarks are made regarding the future outlook for watershed hydrology modeling.  ...  Mathematical modeling of watershed hydrology is employed to address a wide spectrum of environmental and water resources problems.  ...  Investigating the impact of spatial rainfall and soil information on runoff prediction at the hillslope scale, Loague ͑1988͒ aggregated fine-scale realizations of rainfall fields and spatial hydraulic  ... 
doi:10.1061/(asce)1084-0699(2002)7:4(270) fatcat:pfesekyiznfrjdvju37a7f2ywa

Prospects for flash flood forecasting in mountainous regions – An investigation of Tropical Storm Fay in the Southern Appalachians

Jing Tao, Ana P. Barros
2013 Journal of Hydrology  
The use of distributed physically-based models which can predict not only stream operational QPE/QPF could significantly improve the utility and precision of current operational QFF guidance, where the  ...  For long lasting events with several cells of heavy rainfall embedded in otherwise light to moderate rainfall such as Tropical Storms, the propagation of uncertainty from rainfall to flood response is  ...  We are grateful to Laurence Lee of the National Weather Service, Greer South Carolina for his help and insight.  ... 
doi:10.1016/j.jhydrol.2013.02.052 fatcat:vwo6gyak7nfpvn7tvi3trnnzme

Near-Real-Time Assimilation of SAR-Derived Flood Maps for Improving Flood Forecasts

Renaud Hostache, Marco Chini, Laura Giustarini, Jeffrey Neal, Dmitri Kavetski, Melissa Wood, Giovanni Corato, Ramona-Maria Pelich, Patrick Matgen
2018 Water Resources Research  
A case study based on four flood events of the River Severn (United Kingdom) is presented. The forecasting system comprises the SUPERFLEX hydrological model and the Lisflood-FP hydraulic model.  ...  Full terms of use are available: Abstract Short-to medium-range flood forecasts are central to predicting and mitigating the impact of flooding across the world.  ...  Acknowledgments The research reported herein was funded by the National Research fund of Luxembourg through the Mosquito (C15/SR/10380137) and Hydras+  ... 
doi:10.1029/2017wr022205 fatcat:2cms6dzytva3dbqrjxb4zh2e4y

Challenges in field approximations of regional scale hydrology

S.S. Wanniarachchi, N.T.S. Wijesekera
2020 Journal of Hydrology: Regional Studies  
Study focus: This study analyses the effect of the catchment field approximations for accurate flood hydrograph prediction.  ...  accurate flood hydrograph prediction; and to identify the deficiencies and possible solutions for the regional watershed modeling.  ...  Upaka Rathnayake for their assistance with the model implementation. We also would like to thank anonymous reviewers for their valuable comments.  ... 
doi:10.1016/j.ejrh.2019.100647 fatcat:il7d7ehfv5ajniynlu3ptutmwi

SHETRAN and HEC HMS Model Evaluation for Runoff and Soil Moisture Simulation in the Jičinka River Catchment (Czech Republic)

Vesna Đukić, Ranka Erić
2021 Water  
flash flood runoff for the small (75.9 km2) Jičinka River catchment in the Czech Republic.  ...  On the other hand, simple conceptual models have also been advanced. Previous studies on rainfall–runoff models have shown that model performance depends very much on the model structure.  ...  Acknowledgments: This paper was supported by the Ministry of Education, Science and Technological Development, Republic of Serbia. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/w13060872 fatcat:pmthu3dblfgzrnptigc7kd3qrq

Development of flood alert application in Mushim stream watershed Korea

Muhammad Azam, Hyung San Kim, Seung Jin Maeng
2017 International Journal of Disaster Risk Reduction  
Hydrologic Engineering Center's Hydrologic Modeling System (HEC-HMS) is the core of flood alert application provides the forecast with sufficient lead time and decides the threshold conditions of runoff  ...  The findings of this study are expected to be used as basic data required for designing of flood mitigation measures at Mushim stream watershed to cope with the flash flood events in future.  ...  Acknowledgment This research was supported by a Grant (16RDRP-B066173-03) from Regional Development Research Program funded by Ministry of Land, Infrastructure and Transport of Korean Government.  ... 
doi:10.1016/j.ijdrr.2016.11.008 fatcat:4i4f5mheyrbubf35ymnpnqiuf4

Comparing the Hydrological Responses of Conceptual and Process-Based Models with Varying Rain Gauge Density and Distribution

Zhaokai Yin, Weihong Liao, Xiaohui Lei, Hao Wang, Ruojia Wang
2018 Sustainability  
Based on a rain gauge network of 20 gauges in the Jinjiang River Basin, south-eastern China, this study compared the performance of two conceptual models (the hydrologic model (HYMOD) and Xinanjiang) and  ...  Precipitation provides the most crucial input for hydrological modeling.  ...  We are grateful to the Jiangxi Hydrological Bureau, Data Center for Resources and Environment Sciences, Chinese Academy of Sciences, The Institute of Geographical Sciences and Natural Resources Research  ... 
doi:10.3390/su10093209 fatcat:p2wwtvettraqlhbpsk4c6iuxz4

Rainfall Runoff Modeling Using HEC-HMS: The Case of Awash Bello Sub-Catchment, Upper Awash Basin, Ethiopia

Wana Geyisa Namara, Tamane Adugna Damise, Fayera Gudu Tufa
2020 International Journal of Environment  
Rainfall runoff modeling is one of the most complex hydrological modeling due to the involvement of different watershed physical parameters.  ...  SCS-CN, SCS-UH, Muskingum and monthly constant method were used for precipitation loss modeling, transform modeling, flood routing and base flow modeling respectively.  ...  So far, these hydrological models also estimate flood frequencies, provide inputs for flood routing and inundation prediction.  ... 
doi:10.3126/ije.v9i1.27588 fatcat:7jtfe4zfoncmhhobpa4uc7jehi

Appropriateness of Neural Networks in Climate Prediction and Interpolations: A Comprehensive Literature Review

Sanjeev Karmakar, Siddhartha Choubey, Pradeep Mishra
2016 International Journal of Applied Information Systems  
And it is established that Neural Network such as BPN, RBF is best appropriate to be predicted chaotic behavior of climate variables like rainfall, rainfall runoff, and have efficient enough for prediction  ...  It is also found that Neural Network is significant for spatial interpolation of mean climate variables.  ...  (PM) and infrared (IR) satellite rainfall and it is useful for the design, plNeural Networking, and application assessment of satellite remote sensing in flood and flash flood forecasting [145] .  ... 
doi:10.5120/ijais2016451552 fatcat:53igsqqazzbipacaece54gko64

Simulation of a Flash Flooding Storm at the Steep Edge of the Himalayas*

Anil Kumar, Robert A. Houze, Kristen L. Rasmussen, Christa Peters-Lidard
2014 Journal of Hydrometeorology  
The atmospheric and hydrologic models together showed that the excessive runoff leading to the flood and landslide were favored by the occurrence of this unusual meteorological event coinciding temporally  ...  the additional rainfall of the sudden 5 August squall line.  ...  The hydrological aspects of Leh flooding event were investigated with the coupled LIS-WRF modeling tool.  ... 
doi:10.1175/jhm-d-12-0155.1 fatcat:y622pw4uezc6has4rdohyasbbi

Monsoon: Past, Present and Future

P. Maharana, A. P. Dimri
2018 Proceedings of the Indian National Science Academy  
In the recent past, with the availability of enormous datasets and advanced computational skills, hydrological science is trending towards integration of multidimensional studies for the comprehension  ...  of complete hydrological cycle.  ...  Acknowledgement Authors thank the Director, CSIR-NGRI for permission to publish this paper. We greatly appreciate Prof. Harsh K. Gupta for inviting us to write this article.  ... 
doi:10.16943/ptinsa/2018/49513 fatcat:4g5zrszcdrf4pl2j4k6qoxv2yq

The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review

Zbyněk Sokol, Jan Szturc, Johanna Orellana-Alvear, Jana Popová, Anna Jurczyk, Rolando Célleri
2021 Remote Sensing  
Furthermore, the value of radar data in rainfall-runoff models with a focus on flash flood forecasting is documented.  ...  Afterwards, the use of radar data in rainfall nowcasting as well as its role in preparation of initial conditions for numerical weather predictions by assimilation is reviewed.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.  ... 
doi:10.3390/rs13030351 fatcat:m7lopvd2hzcnbcwnsfo3bwyhgy
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