Literatura académica sobre el tema "Hydrologic Ensemble Forecast Service"
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Artículos de revistas sobre el tema "Hydrologic Ensemble Forecast Service"
Hapuarachchi, Hapu Arachchige Prasantha, Mohammed Abdul Bari, Aynul Kabir, Mohammad Mahadi Hasan, Fitsum Markos Woldemeskel, Nilantha Gamage, Patrick Daniel Sunter et al. "Development of a national 7-day ensemble streamflow forecasting service for Australia". Hydrology and Earth System Sciences 26, n.º 18 (29 de septiembre de 2022): 4801–21. http://dx.doi.org/10.5194/hess-26-4801-2022.
Texto completoBrown, James D. y Dong-Jun Seo. "A Nonparametric Postprocessor for Bias Correction of Hydrometeorological and Hydrologic Ensemble Forecasts". Journal of Hydrometeorology 11, n.º 3 (1 de junio de 2010): 642–65. http://dx.doi.org/10.1175/2009jhm1188.1.
Texto completoYuan, Xing, Joshua K. Roundy, Eric F. Wood y Justin Sheffield. "Seasonal Forecasting of Global Hydrologic Extremes: System Development and Evaluation over GEWEX Basins". Bulletin of the American Meteorological Society 96, n.º 11 (1 de noviembre de 2015): 1895–912. http://dx.doi.org/10.1175/bams-d-14-00003.1.
Texto completoSchaake, J., J. Demargne, R. Hartman, M. Mullusky, E. Welles, L. Wu, H. Herr, X. Fan y D. J. Seo. "Precipitation and temperature ensemble forecasts from single-value forecasts". Hydrology and Earth System Sciences Discussions 4, n.º 2 (2 de abril de 2007): 655–717. http://dx.doi.org/10.5194/hessd-4-655-2007.
Texto completoDemargne, Julie, Limin Wu, Satish K. Regonda, James D. Brown, Haksu Lee, Minxue He, Dong-Jun Seo et al. "The Science of NOAA's Operational Hydrologic Ensemble Forecast Service". Bulletin of the American Meteorological Society 95, n.º 1 (enero de 2014): 79–98. http://dx.doi.org/10.1175/bams-d-12-00081.1.
Texto completoKim, Sunghee, Hossein Sadeghi, Reza Ahmad Limon, Manabendra Saharia, Dong-Jun Seo, Andrew Philpott, Frank Bell, James Brown y Minxue He. "Assessing the Skill of Medium-Range Ensemble Precipitation and Streamflow Forecasts from the Hydrologic Ensemble Forecast Service (HEFS) for the Upper Trinity River Basin in North Texas". Journal of Hydrometeorology 19, n.º 9 (1 de septiembre de 2018): 1467–83. http://dx.doi.org/10.1175/jhm-d-18-0027.1.
Texto completoPorter, James H., Adão H. Matonse y Allan Frei. "The New York City Operations Support Tool (OST): Managing Water for Millions of People in an Era of Changing Climate and Extreme Hydrological Events". Journal of Extreme Events 02, n.º 02 (diciembre de 2015): 1550008. http://dx.doi.org/10.1142/s2345737615500086.
Texto completoFranz, K. J. y T. S. Hogue. "Evaluating uncertainty estimates in hydrologic models: borrowing measures from the forecast verification community". Hydrology and Earth System Sciences 15, n.º 11 (15 de noviembre de 2011): 3367–82. http://dx.doi.org/10.5194/hess-15-3367-2011.
Texto completoCarlberg, Bradley, Kristie Franz y William Gallus. "A Method to Account for QPF Spatial Displacement Errors in Short-Term Ensemble Streamflow Forecasting". Water 12, n.º 12 (13 de diciembre de 2020): 3505. http://dx.doi.org/10.3390/w12123505.
Texto completoFranz, K. J. y T. S. Hogue. "Evaluating uncertainty estimates in hydrologic models: borrowing measures from the forecast verification community". Hydrology and Earth System Sciences Discussions 8, n.º 2 (30 de marzo de 2011): 3085–131. http://dx.doi.org/10.5194/hessd-8-3085-2011.
Texto completoTesis sobre el tema "Hydrologic Ensemble Forecast Service"
Adams, Thomas Edwin III. "The Use of Central Tendency Measures from an Operational Short Lead-time Hydrologic Ensemble Forecast System for Real-time Forecasts". Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/83461.
Texto completoPh. D.
Sarath, M. "At-site and Multisite Probabilistic Forecasting of Streamflow". Thesis, 2019. https://etd.iisc.ac.in/handle/2005/5126.
Texto completoCapítulos de libros sobre el tema "Hydrologic Ensemble Forecast Service"
Larson, Lee W. y John C. Monro. "Precipitation Modeling in Mountainous Areas for the National Weather Service River Forecast System". En Precipitation Analysis for Hydrologic Modeling, 189–99. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/sp004p0189.
Texto completoSaito, Kazuo, Yoshinori Shoji, Seiji Origuchi y Le Duc. "GPS PWV Assimilation with the JMA Nonhydrostatic 4DVAR and Cloud Resolving Ensemble Forecast for the 2008 August Tokyo Metropolitan Area Local Heavy Rainfalls". En Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III), 383–404. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43415-5_17.
Texto completoVallette, Anne, Quentin Gunti, Fatimatou Coulibaly y Anne-Laure Beck. "Implementation of a Hydrologic Model as an Element of the Litter-TEP Service—Marine Litter Tracking and Stranding Forecast—Or for the Understanding of the Coastal Patterns Change". En Advances in Hydroinformatics, 921–36. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1600-7_57.
Texto completoActas de conferencias sobre el tema "Hydrologic Ensemble Forecast Service"
Chen, Yuwen, Jian Cao, Shanshan Feng y Yudong Tan. "An ensemble learning based approach for building airfare forecast service". En 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363846.
Texto completoSteele, Edward, Hannah Brown, Christopher Bunney, Philip Gill, Kenneth Mylne, Andrew Saulter, Jessica Standen, Liam Blair, Stewart Cruickshank y Morten Gulbrandsen. "Using Metocean Forecast Verification Information to Effectively Enhance Operational Decision-Making". En Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31253-ms.
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