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On Latin Hypercube sampling for efficient uncertainty estimation of satellite rainfall observations in flood prediction

Faisal Hossain, Emmanouil N. Anagnostou, Amvrossios C. Bagtzoglou
2006 Computers & Geosciences  
In this study, Latin Hypercube Sampling (LHS) was implemented in a satellite rainfall error model to explore the degree of computational efficiency that could be achieved with a complex hydrologic model  ...  With the advent of the Global Precipitation Measurement (GPM) in 2009, satellite rainfall measurements are expected to become globally available at space-time scales relevant for flood prediction of un-gauged  ...  Conclusion This study presented an assessment of Latin Hypercube Sampling for uncertainty estimation of satellite rainfall observations in flood prediction for two storm cases of contrasting morphological  ... 
doi:10.1016/j.cageo.2005.10.006 fatcat:tjdu7hp6q5fxbhjjjhve64mm44

Estimation of River Discharge from Satellite Observations

Dhanendra Bahekar, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
To predict streamflow, hydrological models are calibrated using river width instead of in site observed streamflow, and for estimating uncertainty Generalized Likelihood Uncertainty Estimation (GLUE) is  ...  We now have a conceptual rainfall-runoff model that can predict streamflow based on pre-existing datasets.  ...  Previous research information is used in Latin Hypercube Sampling to generate parameter sets, for parameters distribution, and determine parameter range.  ... 
doi:10.17762/turcomat.v12i4.603 fatcat:aodgfnuzszgldmicw4pqsh7aie

Towards improving river discharge estimation in ungauged basins: calibration of rainfall-runoff models based on satellite observations of river flow width at basin outlet

W. C. Sun, H. Ishidaira, S. Bastola
2010 Hydrology and Earth System Sciences  
In this study, a calibration scheme of rainfall-runoff models based on satellite observations of river width at basin outlet is illustrated.  ...  In ungauged basins, the dependence on observed river discharge data for calibration restricts applications of rainfall-runoff models.  ...  For calibration, 50 000 parameter sets were generated using Latin-Hypercube sampling algorithm, based on uniform distribution and specified ranges of model parameters as shown in Table 1 .  ... 
doi:10.5194/hess-14-2011-2010 fatcat:etsyftuuezedbncqwxzuzoqkpa

Towards improving river discharge estimation in ungauged basins: calibration of rainfall-runoff models based on satellite observations of river flow width at basin outlet

Wenchao Sun, Hiroshi Ishidaira, Satish Bastola
2010 Hydrology and Earth System Sciences Discussions  
In this study, a calibration scheme of rainfall-runoff models based on satellite observations of river width at basin outlet is illustrated.  ...  In ungauged basins, the dependence on observed river discharge data for calibration restricts applications of rainfall-runoff models.  ...  For calibration, 50 000 parameter sets were generated using Latin-Hypercube sampling algorithm, based on uniform distribution and specified ranges of model parameters as shown in Table 1 .  ... 
doi:10.5194/hessd-7-3803-2010 fatcat:pm3hqzct6vcklie43jrv255xwe

Quantifying Roughness Coefficient Uncertainty in Urban Flooding Simulations through a Simplified Methodology

Vasilis Bellos, Ioannis Kourtis, Antonio Moreno-Rodenas, Vassilios Tsihrintzis
2017 Water  
Quantifying roughness coefficient uncertainty in urban flooding simulations through a simplified methodology Bellos, Vasilis; Kourtis, Ioannis M.; Moreno Rodenas, Antonio; Tsihrintzis, Vassilios A.  ...  For the derivation of the training data set, one hundred (100) UHs were derived, adopting the Latin Hypercube Sampling technique for the values of the Manning coefficients.  ...  The sampling was made using the Latin Hypercube Sampling technique, assuming that the Manning coefficient in the main urban area ranges from 0.02 to 0.05 s/m 1/3 , whereas it ranges from 0.03 to 0.08 s  ... 
doi:10.3390/w9120944 fatcat:mtpjokq3abd7hl32x3dl7irpdu

Estimating daily time series of streamflow using hydrological model calibrated based on satellite observations of river water surface width: Toward real world applications

Wenchao Sun, Hiroshi Ishidaira, Satish Bastola, Jingshan Yu
2015 Environmental Research  
Lacking observation data for calibration constrains applications of hydrological models to estimate daily time series of streamflow.  ...  Of 50,000 randomly generated parameter sets, 997 are identified as behavioral, based on comparing model simulation with satellite observations.  ...  Seven parameters were calibrated, including five for HYMOD and two for the width  streamflow relationship (Table 3) . 50,000 parameter sets are planned to be generated using the Latin Hypercube Sampling  ... 
doi:10.1016/j.envres.2015.01.002 pmid:25680241 fatcat:fthpvqwgobcrxim7m46rwfzzhu

The impact of uncertain precipitation data on insurance loss estimates using a Flood Catastrophe Model

C. C. Sampson, T. J. Fewtrell, F. O'Loughlin, F. Pappenberger, P. B. Bates, J. E. Freer, H. L. Cloke
2014 Hydrology and Earth System Sciences Discussions  
In this paper we therefore construct our own catastrophe risk model for flooding in Dublin, Ireland, in order to assess the impact of typical precipitation data uncertainty on loss predictions.  ...  Catastrophe models are unusual because they use the upper three components of the modelling chain to generate a large synthetic database of un-observed and severe loss-driving events for which estimated  ...  Once defined, the parameter ranges were sampled using Latin hypercube Monte Carlo sampling to produce 100 000 parameter sets, a number of samples which proved computationally feasible whilst providing  ... 
doi:10.5194/hessd-11-31-2014 fatcat:5lmbyouidjar5l3hiul7u4yfge

The impact of uncertain precipitation data on insurance loss estimates using a flood catastrophe model

C. C. Sampson, T. J. Fewtrell, F. O'Loughlin, F. Pappenberger, P. B. Bates, J. E. Freer, H. L. Cloke
2014 Hydrology and Earth System Sciences  
In this paper we therefore construct our own catastrophe risk model for flooding in Dublin, Ireland, in order to assess the impact of typical precipitation data uncertainty on loss predictions.  ...  meteorological reanalysis data (European Centre for Medium-Range Weather Forecasts Reanalysis-Interim; ERA-Interim) and a satellite rainfall product (The Climate Prediction Center morphing method; CMORPH  ...  Once defined, the parameter ranges were sampled using Latin hypercube Monte Carlo sampling to produce 100 000 parameter sets, a number of samples which proved computationally feasible whilst providing  ... 
doi:10.5194/hess-18-2305-2014 fatcat:ee5thvtmhnbebahn4iikp4efpm

CALIBRATION AND UNCERTAINTY ANALYSIS OF SWAT MODEL IN A JAPANESE RIVER CATCHMENT

Pingping LUO, Kaoru TAKARA, Bin HE, Wenqiang CAO, Yosuke YAMASHIKI, Daniel NOVER
2011 Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering)  
For uncertainty results, the 95% prediction uncertainty (95PPU) brackets very well with the observation.  ...  Calibration and uncertainty analysis is necessary to perform the best estimation and uncertainty identification of hydrological models.  ...  In addition, we compare the performances of the estimation and computational efficiency for both Generalized Likelihood Uncertainty Estimation (GLUE) and the Sequential Uncertainty Fitting (SUFI-2).  ... 
doi:10.2208/jscejhe.67.i_61 fatcat:6rhrzbc6mrerpmz3vjcwqj3kwe

Evaluation of Satellite Precipitation Products for Hydrological Modeling in the Brazilian Cerrado Biome

Jhones da S. Amorim, Marcelo R. Viola, Rubens Junqueira, Vinicius A. de Oliveira, Carlos R. de Mello
2020 Water  
This study investigates the applicability of Satellite Precipitation Products (SPPs) in streamflow simulations performed in the Brazilian Cerrado biome, which is one of the world's biodiversity hotspots  ...  Local data from ground observations were used as a reference for evaluating the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) and Integrated Multi-Satellite Retrievals  ...  We also acknowledge CAPES for granting scholarships to the first, third, and fourth authors, and CNPq for granting fellowship of research productivity (PQ) to the second and fifth authors.  ... 
doi:10.3390/w12092571 doaj:19164686874f4b4dba42a10ce0c434b1 fatcat:geuxble3bjbybpwftx3hnv5mw4

SWAT use of gridded observations for simulating runoff – a Vietnam river basin study

M. T. Vu, S. V. Raghavan, S. Y. Liong
2012 Hydrology and Earth System Sciences  
of Global Historical Climatology Network (GHCN2) and one reanalysis dataset, National Centers for Environment Prediction/National Center for Atmospheric Research (NCEP/NCAR) are used to simulate runoff  ...  This entails a good understanding of the response of the hydrological model to different datasets and a quantification of the uncertainties in these datasets.  ...  This method combines the robustness of the Latin Hypercube (McKay et al., 1979 (McKay et al., , 1988 sampling that ensures that the full range of all parameters has been sampled with the precision of  ... 
doi:10.5194/hess-16-2801-2012 fatcat:qnzwzne6lza4jl4sghfk56ubhi

SWAT use of gridded observations for simulating runoff – a Vietnam river basin study

M. T. Vu, S. V. Raghavan, S. Y. Liong
2011 Hydrology and Earth System Sciences Discussions  
of Global Historical Climatology Network (GHCN2) and one reanalysis dataset, National Centers for Environment Prediction/National Center for Atmospheric Research (NCEP/NCAR) are used to simulate runoff  ...  This entails a good understanding of the response of the hydrological model to different datasets and a quantification of the uncertainties in these datasets.  ...  This method combines the robustness of the Latin Hypercube (McKay et al., 1979 (McKay et al., , 1988 sampling that ensures that the full range of all parameters has been sampled with the precision of  ... 
doi:10.5194/hessd-8-10679-2011 fatcat:nbf2zzhz65dmnjktezpzlf6we4

Hydrologic Assessment of TRMM and GPM-Based Precipitation Products in Transboundary River Catchment (Chenab River, Pakistan)

Ehtesham Ahmed, Firas Al Janabi, Jin Zhang, Wenyu Yang, Naeem Saddique, Peter Krebs
2020 Water  
Water resources planning and management depend on the quality of climatic data, particularly rainfall data, for reliable hydrological modeling.  ...  This research aims to assess the feasibility of using a satellite-based precipitation product for better hydrological modeling in an ungauged and riparian river in Pakistan, i.e., the Chenab River.  ...  [52] described the procedure to calculate the parameter sensitivities by using a multiple regression system with Latin hypercube sampling utilizing objective function values.  ... 
doi:10.3390/w12071902 fatcat:6ekyq3utzfdkfcqnpcgwlnj5tu

Assessment of satellite rainfall products for streamflow simulation in medium watersheds of the Ethiopian highlands

M. M. Bitew, M. Gebremichael
2011 Hydrology and Earth System Sciences  
The effect of watershed area on the suitability of satellite rainfall products for streamflow simulation also depends on the rainfall product.  ...  Results reveal that the utility of satellite rainfall products as input to SWAT for daily streamflow simulation strongly depends on the product type.  ...  Support for this study came from two NASA Grants (Award #: NNX08AR31G and NNX10AG77G) to the University of Connecticut.  ... 
doi:10.5194/hess-15-1147-2011 fatcat:xdwsmz4xcjft5mwr6px3tew6j4

Modeling hydrological consequences of climate and land use change Progress and Challenges

Jan Feyen, Vázquez Zambrano, Raúl Fernando Vázquez Zambrano, Raúl Fernando
2011 MASKANA  
ABSTRACT This paper provides the state-of-the-art in hydrologic modeling regarding its capability of predicting the effects of climate and land use change on the hydrological cycle.  ...  In conclusion, the research challenges are pinpointed, which the community should address as to be able to observe and model, at a regional-scale, the coupled climate-water cycle in response to the human  ...  This research was also possible by the participation of the second author in the development of project PIC-11-726 financed by the SENESCYT.  ... 
doi:10.18537/mskn.02.02.07 fatcat:sst6tumb6jdavn3o2cbfnga4wi
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