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Assessment of Precipitation Error Propagation in Discharge Simulations over the Contiguous United States

Nergui Nanding, Huan Wu, Jing Tao, Viviana Maggioni, Hylke E. Beck, Naijun Zhou, Maoyi Huang, Zhijun Huang
2021 Journal of Hydrometeorology  
Although basin size and topography also influence the P-Q error relationship and propagation of precipitation errors, their roles depend largely on precipitation products, seasons and climate regimes.  ...  AbstractThis study characterizes precipitation error propagation through a distributed hydrological model based on the river basins across the Contiguous United States (CONUS), to better understand the  ...  Regarding to the role of basin topography, the role 511 of basin size on precipitation error propagation and P-Q error relationship largely depends on 512 climate regimes and seasons.  ... 
doi:10.1175/jhm-d-20-0213.1 fatcat:tw2aniir4nd4liqgzdsye4ve3y

Streamflow modelling by remote sensing: A contribution to digital Earth

M L Tan, A B Latif, C Pohl, Z Duan
2014 IOP Conference Series: Earth and Environment  
In addition, we explore the advantages of satellite precipitation estimates in modelling, uncertainties in remotely sensed data and some improvement techniques.  ...  This paper emphasizes the applications and challenges of satellite-based products in streamflow modelling. Importance and application of streamflow models is firstly described.  ...  Commonly, the selection of a suitable model is highly depending on the aim of the project and data availability.  ... 
doi:10.1088/1755-1315/18/1/012060 fatcat:765x3bbjpfdkbe7ktvcgwfm6ci

Comparative study of GCMs, RCMs, downscaling and hydrological models: a review toward future climate change impact estimation

Nagaveni Chokkavarapu, Venkata Ravibabu Mandla
2019 SN Applied Sciences  
In order to quantify the future change of the hydrological cycle rainfall, different modeling approaches like the use of global climate models, regional climate models and hydrological models (for local  ...  The Intergovernmental Panel on Climate Change (IPCC) reported that the increasing greenhouse gases which can cause sea level rise increase frequency of storms, heavy rainfall events and droughts.  ...  For smaller regions, local climate mainly depends upon local feedback mechanisms because of which model selection should consider local climate, topography and vegetation conditions of the area.  ... 
doi:10.1007/s42452-019-1764-x fatcat:zu3hd2uianarlf256zw7boxnn4

Hydrologic Assessment of the Uncertainty of Six Remote Sensing Precipitation Estimates Driven by a Distributed Hydrologic Model in the Blue Nile Basin [chapter]

Hadir Abdelmoneim, Mohamed R. Soliman, Hossam M. Moghazy
2021 Natural Disaster Science and Mitigation Engineering: DPRI reports  
AbstractBecause of the sparseness of the ground monitoring network, precipitation estimations based on satellite products (PESPs) are currently requisite tools for hydrological simulation research and  ...  Overall, this study will hopefully provide a better comprehension of the usefulness and uncertainties of various PESPs in streamflow simulations, particularly in this region.  ...  The exceedance probability between the monthly measured and simulated discharges is dependent on the rain gauge observations, and the six studied PESPs, used as rainfall drivers in the BNB for the interval  ... 
doi:10.1007/978-981-16-2904-4_8 fatcat:ncdtnnyuybfzvkf6yqofi574fm

Evaluation of Satellite Precipitation Products in Simulating Streamflow in a Humid Tropical Catchment of India Using a Semi-Distributed Hydrological Model

Thalli Mani Sharannya, Nadhir Al-Ansari, Surajit Deb Barma, Amai Mahesha
2020 Water  
While comparing the performance of model simulations, the IMD rainfall-driven streamflow emerged as the best followed by the TRMM, CHIRPS-0.05, and CHIRPS-0.25.  ...  model, i.e., Soil and Water Assessment Tool (SWAT), for simulating streamflow and validating them against the flows generated by the India Meteorological Department (IMD) rainfall dataset in the Gurupura  ...  We are also thankful to all the institutes, organisations, and developers for providing the precipitation datasets. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/w12092400 fatcat:ob73zdlm6fg2jawteq23on65am

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  
For understanding the impact of satellite rainfall uncertainty on soil moisture dynamics, the Common Land Model (CLM; Dai et al., 2003) was coupled with SREM2D to propagate ensembles of simulated satellite  ...  By propagating the simulated ensembles in a hydrologic model, SREM2D would therefore allow the understanding of the implications of satellite rainfall error structure and scale complexity on streamflow  ... 
doi:10.1007/978-3-540-75384-1_7 fatcat:4jnkxr74ozhlfkyeq23ikbfyai

Tracing hydrologic model simulation error as a function of satellite rainfall estimation bias components and land use and land cover conditions

Abebe S. Gebregiorgis, Yudong Tian, Christa D. Peters-Lidard, Faisal Hossain
2012 Water Resources Research  
Faisal, "Tracing hydrologic model simulation error as a function of satellite rainfall estimation bias components and land use and land cover conditions" (2012). NASA Publications. 138.  ...  The study and the first author (Gebregiorgis) were supported by NASA New Investigator Program (NIP) grant NNX08AR32G of Faisal Hossain and the Center for Management, Utilization and Protection of Water  ...  The authors are also grateful for the guidance received from the associate editor and the three anonymous reviewers that helped to improve the quality of the study and manuscript considerably.  ... 
doi:10.1029/2011wr011643 fatcat:bgsvhjhu7vgbhebdsswyff2qtm

Hydrological Modeling in India

Riddhi Singh, Vimal Mishra, Balaji Narasimhan, Subimal Ghosh, Anupma Sharma, Subhasisha Dutta, P P Mujumdar
2020 Proceedings of the Indian National Science Academy  
This has enabled a number of studies in the last few years advancing surface and groundwater modeling, process understanding, use of satellite-based or low-cost sensing for model development or improvement  ...  , inclusion of anthropogenic influences in hydrologic models, and uncertainty estimation methods.  ...  For example, uncertainty analysis (parameter and model predictive uncertainty) of the simulations from the SWAT model has been done using Sequential Uncertainty Fitting (SUFI-2)).  ... 
doi:10.16943/ptinsa/2020/49802 fatcat:p6wdhtau2zbivf6pak6s6cljre

Performance evaluation of multiple satellite rainfall products for Dhidhessa River Basin (DRB), Ethiopia

Gizachew Kabite Wedajo, Misgana Kebede Muleta, Berhan Gessesse Awoke
2021 Atmospheric Measurement Techniques  
Both statistical and hydrological modeling approaches were used for the performance evaluation. The Soil and Water Analysis Tool (SWAT) was used for hydrological simulations.  ...  Overall, the study showed that both CHIRPS2 and IMERG6 products could be reliable rainfall data sources for the hydrological analysis of the DRB.  ...  The National Meteorological Agency of Ethiopia and the Ethiopian Ministry of Water, Irrigation and Energy are also acknowledged for providing climate and streamflow data, respectively.  ... 
doi:10.5194/amt-14-2299-2021 fatcat:jgstuxfiz5g5vnfaapwrvsemy4

Carbon Soot for Electrochemical Energy Storage Applications

Darshna D. Potphode, Ananya Gangadharan, Chandra S. Sharma
2019 Proceedings of the Indian National Science Academy  
Despite this progress, an accurate assessment and forecasting of floods with the associated risk is still elusive due to uncertainties at each stage of the modelling.  ...  Indian contributions to the areas of hydrologic modelling of floods, flood forecasting, flash flood modelling, urban floods, and risk assessment and mitigation are reviewed in the paper.  ...  and modelling of uncertainty, resulting from the use of multiple climate models.  ... 
doi:10.16943/ptinsa/2019/49648 fatcat:xzlh3ifpabexlgu6opw5v6ii5e

A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons

Kunbiao Li, Fuqiang Tian, Mohd Yawar Ali Khan, Ran Xu, Zhihua He, Long Yang, Hui Lu, Yingzhao Ma
2021 Earth System Science Data  
However, due to complex spatial variability in climate and topography, there is still a lack of a high-quality rainfall dataset for hydrological modeling and flood prediction.  ...  Hydrological evaluation in the Yarlung Zangbo River basin demonstrated high performance of the merged rainfall dataset in providing accurate and robust forcings for streamflow simulations.  ...  For instance, Xu et al. (2017) evaluated the performance of TRMM and GPM and the dependence on topography and rainfall intensity based on the network.  ... 
doi:10.5194/essd-13-5455-2021 fatcat:hskh2tnv2bdfhjvi6j74kaylju

The Application of Rainfall-Runoff-inundation (RRI) Model for Inundation Case in Upper Citarum Watershed, West Java-Indonesia

Kania Dewi Nastiti, Yeonsu Kim, Kwansue Jung, Hyunuk An
2015 Procedia Engineering  
the deficit of the input data for simulations.  ...  Although the simulated inundation area showed a good agreements with the observed one, the simulated discharge showed some discrepancy because of the uncertainties involved in the observed discharge and  ...  Acknowledgements This research was supported by a grant (11-TI-C06) from Advanced Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.  ... 
doi:10.1016/j.proeng.2015.11.024 fatcat:ok5nyqq5k5hancjqy6byiqxplm

Assessment of precipitation error propagation in multi-model global water resource reanalysis

Md Abul Ehsan Bhuiyan, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, Jan Polcher, Clément Albergel, Emanuel Dutra, Gabriel Fink, Alberto Martínez-de la Torre, Simon Munier
2019 Hydrology and Earth System Sciences  
Surface runoff is strongly sensitive to precipitation uncertainty, and the degree of sensitivity depends significantly on the runoff generation scheme of each model examined.  ...  </strong> This study focuses on the Iberian Peninsula and investigates the propagation of precipitation uncertainty, and its interaction with hydrologic modeling, in global water resource reanalysis.  ...  This research was supported by the FP7 project EartH2Observe. Review statement. This paper was edited by Micha Werner and reviewed by two anonymous referees.  ... 
doi:10.5194/hess-23-1973-2019 fatcat:pskqhv7bjngdngeyvj2gkzqa5q

Evaluation of Appropriate Precipitation Data for Streamflow Simulation in Data Sparse Catchments

Thi Hieu BUI, Hiroshi ISHIDAIRA, Parmeshwar UDMALE
2016 Journal of Japan Society of Civil Engineers Ser G (Environmental Research)  
First, we analyzed the impact of blended rain gauge density on the performance of the satellite-gauge merging precipitation and modeled streamflow.  ...  Lack of meteorological data challenges applications of the hydrological modeling.  ...  ACKNOWLEDGMENT: This research is supported by a CREST project grant for  ... 
doi:10.2208/jscejer.72.i_13 fatcat:gua6izaotzge7ot5h54i7iasty

Assessment of applicability of mike 11-nam hydrological module for rainfall runoff modelling in a poorly studied river basin

Anghesom A. Ghebrehiwot, Dmitriy V. Kozlov
2020 Vestnik MGSU  
This paper assesses the applicability of climate reanalysis data to rainfall runoff ("rainfall runoff") modelling in the poorly studied river basin in Eritrea. Materials and methods.  ...  In addition, calibration and validation (evaluation) of the hydrological model (simulation quality) were performed using the Nash-Sutcliffe efficiency criterion, the determination coefficient, and the  ...  Secondly, unreliable climate projections and incomplete process understanding have caused substantial uncertainties in projections.  ... 
doi:10.22227/1997-0935.2020.7.1030-1046 fatcat:aph5fs52urclnhr32bmutj5tbi
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