Evaluation of multi‐source precipitation data in a watershed with complex topography based on distributed hydrological modeling

2020 ◽  
Author(s):  
Weichen Wang ◽  
Lian Sun ◽  
Yanpeng Cai ◽  
Yujun Yi ◽  
Wei Yang ◽  
...  
Keyword(s):  
Hydrological Modeling ◽  
Precipitation Data ◽  
Complex Topography ◽  
Distributed Hydrological Modeling

scholarly journals Significant uncertainty in global scale hydrological modeling from precipitation data errors

2015 ◽  
Vol 529 ◽  
pp. 1095-1115 ◽  
Author(s):  
Frederiek C. Sperna Weiland ◽  
Jasper A. Vrugt ◽  
Rens (L.) P.H. van Beek ◽  
Albrecht H. Weerts ◽  
Marc F.P. Bierkens
Keyword(s):  
Hydrological Modeling ◽  
Global Scale ◽  
Precipitation Data ◽  
Data Errors

Distributed hydrological modeling of a micro-scale rainforest watershed in Amazonia: Model evaluation and advances in calibration using the new HAND terrain model

2012 ◽  
Vol 462-463 ◽  
pp. 15-27 ◽  
Author(s):  
Luz Adriana Cuartas ◽  
Javier Tomasella ◽  
Antonio Donato Nobre ◽  
Carlos Afonso Nobre ◽  
Martin G. Hodnett ◽  
...  
Keyword(s):  
Model Evaluation ◽  
Hydrological Modeling ◽  
Micro Scale ◽  
Terrain Model ◽  
Distributed Hydrological Modeling

scholarly journals Adjusting Satellite Precipitation Data to Facilitate Hydrologic Modeling

2010 ◽  
Vol 11 (4) ◽  
pp. 966-978 ◽  
Author(s):  
Kenneth J. Tobin ◽  
Marvin E. Bennett
Keyword(s):  
Hydrological Modeling ◽  
Tropical Rainfall Measuring Mission ◽  
Probability Of Detection ◽  
Precipitation Data ◽  
Satellite Precipitation ◽  
Precipitation Product ◽  
San Pedro ◽  
Precipitation Analysis ◽  
San Pedro Basin ◽  
Daily Time

Abstract Significant concern has been expressed regarding the ability of satellite-based precipitation products such as the National Aeronautics and Space Administration (NASA) Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B42 products (version 6) and the U.S. National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center’s (CPC) morphing technique (CMORPH) to accurately capture rainfall values over land. Problems exist in terms of bias, false-alarm rate (FAR), and probability of detection (POD), which vary greatly worldwide and over the conterminous United States (CONUS). This paper directly addresses these concerns by developing a methodology that adjusts existing TMPA products utilizing ground-based precipitation data. The approach is not a simple bias adjustment but a three-step process that transforms a satellite precipitation product. Ground-based precipitation is used to develop a filter eliminating FAR in the authors’ adjusted product. The probability distribution function (PDF) of the satellite-based product is adjusted to the PDF of the ground-based product, minimizing bias. Failure of precipitation detection (POD) is addressed by utilizing a ground-based product during these periods in their adjusted product. This methodology has been successfully applied in the hydrological modeling of the San Pedro basin in Arizona for a 3-yr time series, yielding excellent streamflow simulations at a daily time scale. The approach can be applied to any satellite precipitation product (i.e., TRMM 3B42 version 7) and will provide a useful approach to quantifying precipitation in regions with limited ground-based precipitation monitoring.

scholarly journals Implementation of Distributed Hydrological Modeling in a Semi-Arid Mediterranean Catchment "Azzaba, Morocco"

2019 ◽  
Vol 20 (6) ◽  
pp. 236-254 ◽  
Author(s):  
Bouadila Abdelmounim ◽  
Lahcen Benaabidate ◽  
Ismail Bouizrou ◽  
Mourad Aqnouy
Keyword(s):  
Hydrological Modeling ◽  
Distributed Hydrological Modeling ◽  
Semi Arid

scholarly journals The GEOframe-NewAge Modelling System Applied in a Data Scarce Environment

Water ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 86
Author(s):  
Marialaura Bancheri ◽  
Riccardo Rigon ◽  
Salvatore Manfreda
Keyword(s):  
Hydrological Modeling ◽  
Model Parameters ◽  
Control Points ◽  
Rainfall Runoff ◽  
Entire Region ◽  
Web Based ◽  
Basilicata Region ◽  
Distributed Hydrological Modeling ◽  
Reliable Parameter ◽  
Good Agreement

In this work, the semi-distributed hydrological modeling system GEOframe-NewAge was integrated with a web-based decision support system implemented for the Civil Protection Agency of the Basilicata region, Italy. The aim of this research was to forecast in near real-time the most important hydrological variables at 160 control points distributed over the entire region. The major challenge was to make the system operational in a data-scarce region characterized by a high hydraulic complexity, with several dams and infrastructures. In fact, only six streamflow gauges were available for the calibration of the model parameters. Reliable parameter sets were obtained by simulating the hydrological budget and then calibrating the rainfall-runoff parameters. After the extraction of the flow-rating curves, six sets of parameters were obtained considering the different streamflow components (i.e., the baseflow and surface runoff) and using a multi-site calibration approach. The results show a good agreement between the measured and modeled discharges, with a better agreement in the sections located upstream of the dams. Moreover, the results were validated using the inflows measured at the most important dams (Pertusillo, San Giuliano and Monte Cotugno). For rivers without monitoring points, parameters were assigned using a principle of hydrological similarity in terms of their geology, lithology, and climate.

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