Uneingeschränkter Zugang

Sensitive Analysis of WRF-Hydro’s Parameters for Multi-Peak Flood Flow: A Case Study in the Ve River Basin, Vietnam

, , , , ,  und   
16. Apr. 2025

Zitieren
COVER HERUNTERLADEN

OECD: Financial Management of Flood Risk. OECD Publishing, Paris, 2016, pp. 136. Search in Google Scholar

IMHEN., – UNDP.: Viet Nam special report on managing the risk of extreme events and disasters to advance climate change adaptation [THUC, T., – NEEFJES, K. et al.]. Vietnam Publishing House of Natural Resources, Environment and Cartography, Ha Noi, Viet Nam, 2015, pp. 456. Search in Google Scholar

THE WORLD BANK GROUP, THE ASIAN DEVELOPMENT BANK: Climate risk profile: Vietnam. 2020, https://www.adb.org/sites/default/files/publication/653596/climate-risk-country-profile-vietnam.pdf. Last access November 07, 2024. Search in Google Scholar

SUHARYANTO, A.: Estimating Flood Inundation Depth Along the Arterial Road Based on the Rainfall Intensity. Civil and Environmental Engineering, Vol. 17, Issue 1, 2021, pp. 66-81. Search in Google Scholar

KAH, L. V., – KOK, W. T., – KAH, S. C.: Assessment of the Flood and Drought Occurrence Using Statistically Downscaled Local Climate Models: A Case Study in Langat River Basin, Malaysia. Civil and Environmental Engineering, Vol 18, Issue 1, 2022, pp. 221-233. Search in Google Scholar

HALLEGATTE, S.: A cost effective solution to reduce disaster losses in developing countries: hydro-meteorological services, early warning, and evacuation. World Bank Policy Research Working Paper No. 6058, 2012, pp. 22. Search in Google Scholar

UNDRR.: Global Survey of Early Warning Systems - An assessment of capacities, gaps and opportunities towards building a comprehensive global early warning system for all natural hazards. 2006. Online available: https://www.unisdr.org/2006/ppew/info-resources/ewc3/Global-Survey-of-Early-Warning-Systems.pdf. Last access August 10, 2024. Search in Google Scholar

SENATORE, A., – MENDICINO, G., – GOCHIS, D. J., – YU, W., – YATES, D. N., – KUNSTMANN, H.: Fully coupled atmosphere-hydrology simulations for the central Mediterranean: impact of enhanced hydrological paramterisation for short and long-time scales. Journal of Advances in Modeling Earth Systems, Vol. 7, 2015, pp. 1693–1715. Search in Google Scholar

GOCHIS, D.J., – BARLAGE, M., – CABELL, R., – CASALI, M., – DUGGER, A., – FITZGERALD, K., – MCALLISTER, M., – MCCREIGHT, J., – RAFIEEINASAB, A., – READ, L., – SAMPSON, K., – YATES, D., – ZHANG, Y.: The WRF-Hydro Modeling System Technical Description (Version 5.1.1). NCAR Technical Note, 2020, pp. 108. Search in Google Scholar

YUCEL, I., – ONEN, A., – YILMAZ, K. K., – GOCHIS, D. J.: Calibration and evaluation of a flood forecasting system: Utility of numerical weather prediction model, data assimilation and satellite-based rainfall. Journal of Hydrology, Vol. 523, 2015, pp. 49-66. Search in Google Scholar

ARNAULT, J. – WAGNER, S., – RUMMLER, T., – FERSCH, B., – BLIEFERNICHT, J., – ANDRESEN, S., – KUNSTMANN, H.: 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. Journal of Hydrometeorology, Vol. 17, 2016, pp. 1489-1516. Search in Google Scholar

NAABIL, E., – LAMPTEY, B. L., – ARNAULT, J., – OLUFAYO, A., – KUNSTMANN, H.: Water resources management using the WRF-Hydro modelling system: Case-study of the Tono dam in West Africa. Journal of Hydrology: Regional Studies, Vol. 12, 2017, pp. 196–209. Search in Google Scholar

NAABIL, E., – KOUADIO, K., – LAMPTEY, B., – ANNOR, T., – CHUKWUDI A. I.: Tono basin climate modeling, the potential advantage of fully coupled WRF/WRF-Hydro modeling System. Modeling Earth Systems and Environment, Vol. 9, 2023, pp. 1669–1679. Search in Google Scholar

XIANG, T., – VIVONI, E. R., – GOCHIS, D. J.: Influence of Initial Soil Moisture and Vegetation Conditions on Monsoon Precipitation Events in Northwest Mexico. Atmosfera, Vol. 31, 2018, pp. 25–45. Search in Google Scholar

QUENUM, G. M. L. D., – ARNAULT, J., – KLUTSE, N. A. B., – ZHANG, Z., – KUNSTMANN, H., – OGUNTUNDE, P. G.: Potential of the coupled WRF/WRF-hydro modeling system for flood forecasting in the Ouémé River (West Africa). Water, Vol. 14, 2022, pp. 1192. Search in Google Scholar

SOFOKLEOUS, I., – BRUGGEMAN, A., – CAMERA, C.: The role of parameterizations and model coupling on simulations of energy and water balances–Investigations with the atmospheric model WRF and the hydrologic model WRF-hydro. Journal of Geophysical Research: Atmospheres, Vol. 129., Iss. 8, 2024, e2023JD040335. Search in Google Scholar

ZHANG, Z., – ARNAULT, J., – WAGNER, S., – LAUX, P., – KUNSTMANN, H.: Impact of lateral terrestrial water flow on land-atmosphere interactions in the Heihe River Basin in China: Fully coupled modeling and precipitation recycling analysis. Journal of Geophysical Research: Atmospheres, Vol. 124, 2019, pp. 8401-8423. Search in Google Scholar

LIU, Y., – LIU, J., – LI, C., – YU, F., – WANG, W., – QIU, Q.: Parameter sensitivity analysis of the WRF-hydro modeling system for streamflow simulation: A case study in semi-humid and semi-arid Catchments of Northern China. Asia-Pacific Journal of Atmospheric Sciences, Vol. 57, 2021, pp. 451-466. Search in Google Scholar

GIVATI, A., – GOCHIS, D., – RUMMLER, T., – KUNSTMANN, H.: Comparing one-way and two-way coupled hydrometeorological forecasting systems for flood forecasting in the Mediterranean region. Hydrology, Vol. 3, 2016, pp. 19. Search in Google Scholar

GU, T., – CHEN, Y., – GAO, Y., – QIN, L., – WU., Y.: Improved Streamflow Forecast in a Small-Medium Sized River Basin with Coupled WRF and WRF-Hydro: Effects of Radar Data Assimilation. Remote Sensing, Vol. 13, 2021, pp. 3251. Search in Google Scholar

LIU, Y., – LIU, J., – LI, C., – LIU, L., – WANG, Y.: A WRF/WRF-Hydro Coupled Forecasting System with Real-Time Precipitation–Runoff Updating Based on 3Dvar Data Assimilation and Deep Learning. Water, Vol. 15, 2023, pp. 1716. DOI: 10.3390/w15091716. Search in Google Scholar

SILVA, D. G., – SILVA, J. J. R. D. D., – SOUZA, F. M. D., – RAMOS, D. N. D. S., – SILVA, A. R., – SANTOS, T. S. D., – MOREIRA, D. M.: WRF-Hydro for Streamflow Simulation in the MATOPIBA Region within the Tocantins/Araguaia River Basin—Brazil: Implications for Water Resource Management. Water, Vol. 15, 2023, pp. 3902. Search in Google Scholar

MASCARO, G., – HUSSEIN, A., – DUGGER, A., – GOCHIS, D. J.: Process-based calibration of WRF-Hydro in a mountainous basin in southwestern US. Journal of the American Water Resources Association, Vol. 59, 2023, pp. 49-70. Search in Google Scholar

SUN, M., – LI, Z., – YAO, C., – LIU, Z., – WANG, J., – HOU, A., – ZHANG, K., – HUO, W., – LIU, M.: Evaluation of flood prediction capability of the WRF-hydro model based on multiple forcing scenarios. Water, Vol.12, 2020, pp. 874. Search in Google Scholar

YU, E., – LIU, X., – LI, J., – TAO, H.: Calibration and Evaluation of the WRF-Hydro Model in Simulating the Streamflow over the Arid Regions of Northwest China: A Case Study in Kaidu River Basin. Sustainability, Vol. 15, 2023, pp. 6175. Search in Google Scholar

HUNG, N. Q, – HUONG, H. T. L.: Initiative evaluation of coupling a high-resolution weather model with a hydrological model for hydrological forecasting. Journal of Climate change science, Vol. 17, 2021, pp. 1-11. (In Vietnamese). Search in Google Scholar

KIMPARA C., – TONOUCHI M., – HOA B. T. K., – HUNG N. V., – CUONG N. M., – AKAEDA K.: Quantitative Precipitation Estimation by Combining Rain gauge and Meteorological Radar Network in Viet Nam. Vietnam Journal of Hydrometeorology, Vol. 5, 2020, pp. 36-50. Search in Google Scholar

MAKIHARA Y.: A method for improving radar estimates of precipitation by comparing data from radars and rain gauges. Journal of the Meteorological Society of Japan, Vol. 74, 1996, pp. 459-480. Search in Google Scholar

SKAMAROCK, W. C., – KLEMP, J. B., – DUDHIA, J., – GILL, D. O., – LIU, Z., – BERNER, J., – WANG, W., – POWERS, J. G., – DUDA, M. G., – BARKER, D. M., – HUANG, X. Y.: A Description of the Advanced Research WRF Model Version 4.1. NCAR Technical Note NCAR/TN-556+STR, 2019, pp. 145. Search in Google Scholar

KAIN, J. S.: The Kain-Fritsch convective parameterization: An update. Journal of Applied Meteorology, Vol. 43, 2004, pp. 170–181. Search in Google Scholar

THOMPSON, G., – FIELD, P. R., – RASMUSSEN, R. M., – HALL, W. D.: Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization. Monthly Weather Review, Vol. 136, 2008, pp. 5095–5115. Search in Google Scholar

NIU, G. Y., – YANG, Z. L., – MITCHELL, K. E., – CHEN, F., – EK, M. B., – BARLAGE, M., – KUMAR, A., – MANNING, K., – NIYOGI, D., – ROSERO, E., – TEWARI, M., – XIA, Y.: The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements. Journal of Geophysical Research, Vol. 116, 2011, D12109. DOI: 10.1029/2010JD015139. Search in Google Scholar

YANG, Z. L., – NIU, G. Y., – MITCHELL, K. E., – CHEN, F., – EK, M. B., – BARLAGE, M., – LONGUEVERGNE, L., – MANNING, K., – NIYOGI, D., – TEWARI, M., – XIA, Y.: The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins. Journal of Geophysical Research, Vol. 116, Iss. D12, 2011, D12110. Search in Google Scholar

IACONO, M. J., – DELAMERE, J. S., – MLAWER, E. J., – SHEPHARD, M. W., – CLOUGH, S. A., – COLLINS, W. D.: Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models. Journal of Geophysical Research, Vol. 113, 2008, D13103. DOI:10.1029/2008JD009944. Search in Google Scholar

DUDHIA, J.: Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. Journal of Atmospheric Sciences, Vol. 46, 1989, pp. 3077–3107. Search in Google Scholar

HONG, S. Y., – NOH, Y., – DUDHIA, J.: A new vertical diffusion package with an explicit treatment of entrainment processes. Monthly Weather Review, Vol. 134, 2006, pp. 2318–2341. Search in Google Scholar

JIMENEZ, P. A., –DUDHIA, J., –RUOCO G. J. F., –NAVARRO, J., –MONTAVEZ, J. P., – BUSTAMENTE G. E.: A revised scheme for the WRF surface layer formulation. Monthly Weather Review, Vol. 140, 2012, pp. 898–918. Search in Google Scholar

SAMPSON, K., – CASALI, M., – GOCHIS, D.: WRF Hydro GIS Pre-Processing Tools, Version 5.0 Documentation. National Center for Atmospheric Research, Research Applications Laboratory, USA, 2018, pp. 44. Search in Google Scholar

STRAHLER, A. N.: Quantitative analysis of watershed geomorphology. Transactions, American Geophysical Union, Vol. 38, 1957, pp. 913-920. Search in Google Scholar

RYU, Y., – LIM, Y. J., – JI, H. S., – PARK, H. H., – CHANG, E. C., – KIM, B. J.: Applying a coupled hydrometeorological simulation system to flash flood forecasting over the Korean Peninsula. Asia-Pacific Journal of Atmospheric Sciences, Vol. 53, 2017, pp. 421-430. Search in Google Scholar

DU, D. T., – HOLE, L. R., – TRAN, A. D., – HOANG, D. C.; – NGUYEN, B. T.: Verification of forecast weather surface variables over Vietnam using the National Numerical Weather Prediction System. Advances in Meteorology, Vol. 2016, 2016, pp. 1-11. Search in Google Scholar

Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
2 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Wirtschaftswissenschaften, Volkswirtschaft, Wirtschaftstheorie, -systeme und -strukturen, Betriebswirtschaft, Branchen, Umweltmanagement