Published June 30, 2022
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Calibration of WRF-Hydro for Bhagirathi-Alaknanda Basin
Authors/Creators
- 1. Department of Physics, Uttaranchal University, Dehradun (Uttarakhand), India.
- 2. National Research Council of Italy—Institute of Atmospheric Sciences and Climate (CNR-ISAC), Padua, Italy
Description
Abstract: Complemented with the coupling of the most sensitive and challenging interaction between terrestrial hydrology and atmosphere, the Bhagirathi-Alaknanda basin of the Garhwal Himalaya requires advanced dynamic and most comprehensively coupled atmospheric-hydrological models for simulation of streamflows. WRF-Hydro model which is enhanced by integrating most advanced set of hydrologic physics parameterization accounting for lateral water flow occurring on the land surface is the most compatible for this basin. This paper illustrates the development and the calibration of WRF-Hydro model through construction of flow matrices for different seasons.
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- Journal article: 2249-8958 (ISSN)
References
- Arnault, J., S. Wagner, T. Rummler, B. Fersch, J. Bliefernicht, S. Andresen, and H. Kunstmann, 2016: Role of runoff–infiltration partitioning and resolved overland flow on land–atmosphere feedbacks: A case study with the WRF-Hydro coupled modeling system for West Africa. J. Hydrometeor., 17, 1489–1516, https://doi.org/10.1175/JHM-D-15-0089.1.
- Ek, M.B.; Mitchell, K.E.; Lin, Y.Y.; Rogers, E.; Grunmann, P.; Koren, V.; Gayno, G.; Tarpley, J.D. Implementation of Noah land surface model advances in the National Centres for Environmental Prediction operational mesoscale Eta model. J. Geophys. Res. 2003, 108, 8851.
- Gochis, D.J., Yu, W., Yates, D.N., 2014. The WRF-Hydro Model Technical Description and User's Guide, Version 2.0. NCAR Technical Document. 120 pages. Documentation, Model Code and ArcGIS Pre-processing Tools available online at: <http://www.ral.ucar.edu/projects/wrf_hydro/>.
- Gochis, D. J., & Chen, F. (2003). Hydrological Enhancements to the Community Noah Land Surface Model (No. NCAR/TN-454+STR). University Corporation for Atmospheric Research. doi:10.5065/D60P0X00
- Mitchell, K. E., et al. (2004), The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system, J. Geophys. Res., 109, D07S90, doi:10.1029/2003JD003823
- Senatore, A., G. Mendicino, D. J. Gochis, W. Yu, D. N. Yates, and H. Kunstmann, 2015: Fully coupled atmosphere-hydrology simulations for the central Mediterranean: Impact of enhanced hydrological parameterization for short and long time scales. J. Adv. Model. Earth Syst., 7, 1693–1715, https://doi.org/10.1002/2015MS000510.
- Tolson, B. A. , & Shoemaker, C. A. . (2007). Dynamically dimensioned search algorithm for computationally efficient watershed model calibration. Water Resources Research, 43. doi:10.1029/2005WR004723
- Yucel, I., A. Onen, K. K. Yilmaz, and D. Gochis, 2015: Calibration and evaluation of a flood forecasting system: Utility of numerical weather prediction model, data assimilation and satellite-based rainfall. J. Hydrol., 523, 49–66, https://doi.org/10.1016/j.jhydrol.2015.01.042.
Subjects
- ISSN: 2249-8958 (Online)
- https://portal.issn.org/resource/ISSN/2249-8958#
- Retrieval Number: 100.1/ijeat.E35240611522
- https://www.ijeat.org/portfolio-item/E35240611522/
- Journal Website: www.ijeat.org
- https://www.ijeat.org
- Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
- https://www.blueeyesintelligence.org