Works matching DE "FLOOD forecasting research"
Results: 31
Predicting the floods in St. Petersburg and the eastern part of the gulf of Finland under conditions of operation of the flood prevention facility complex.
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- Russian Meteorology & Hydrology, 2015, v. 40, n. 2, p. 115, doi. 10.3103/S1068373915020077
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Estimating joint tail probabilities of river discharges through the logistic copula.
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- Environmetrics, 2007, v. 18, n. 6, p. 621, doi. 10.1002/env.840
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Impacts of Elevation Data Spatial Resolution on Two-Dimensional Dam Break Flood Simulation and Consequence Assessment.
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- Journal of Water Resources Planning & Management, 2014, v. 140, n. 2, p. 194, doi. 10.1061/(ASCE)WR.1943-5452.0000274
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Flood Forecasting and Decision Making in the new Millennium. Where are We?
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- Water Resources Management, 2017, v. 31, n. 10, p. 3111, doi. 10.1007/s11269-017-1693-7
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Comparative Study of Three Updating Procedures for Real-Time Flood Forecasting.
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- Water Resources Management, 2016, v. 30, n. 7, p. 2111, doi. 10.1007/s11269-016-1275-0
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Toward Real-Time Daily PQPF by an Analog Sorting Approach: Application to Flash-Flood Catchments.
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- Journal of Applied Meteorology & Climatology, 2012, v. 51, n. 3, p. 505, doi. 10.1175/JAMC-D-11-011.1
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Uncertainty in radar-rainfall composite and its impact on hydrologic prediction for the eastern Iowa flood of 2008.
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- Water Resources Research, 2013, v. 49, n. 5, p. 2747, doi. 10.1002/wrcr.20244
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Phanerozoic marine inundation of continents driven by dynamic topography above subconducting slabs.
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- Nature, 1993, v. 364, n. 6438, p. 589, doi. 10.1038/364589a0
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RECURRENCIA HISTÓRICA POR INUNDACION FLUVIAL EN EL CURSO INFERIOR DEL RIO CARAMPANGUE, REGION DEL BIO-BIO.
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- Tiempo y Espacio, 2010, v. 21, n. 25, p. 117
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Comparative study of monthly inflow prediction methods for the Three Gorges Reservoir.
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- Stochastic Environmental Research & Risk Assessment, 2014, v. 28, n. 3, p. 555, doi. 10.1007/s00477-013-0772-4
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Application of artificial neural networks in regional flood frequency analysis: a case study for Australia.
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- Stochastic Environmental Research & Risk Assessment, 2014, v. 28, n. 3, p. 541, doi. 10.1007/s00477-013-0771-5
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Methodology for Applying GIS to Evaluate Hydrodynamic Model Performance in Predicting Coastal Inundation.
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- Journal of Coastal Research, 2014, v. 30, n. 5, p. 1055, doi. 10.2112/JCOASTRES-D-13-00160.1
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Scenario-Based Projection of Extreme Sea Levels.
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- Journal of Coastal Research, 2013, v. 29, n. 1, p. 1, doi. 10.2112/JCOASTRES-D-12-00127.1
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EXPLOITING EXISTING GROUND-BASED REMOTE SENSING NETWORKS TO IMPROVE HIGH-RESOLUTION WEATHER FORECASTS.
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- Bulletin of the American Meteorological Society, 2015, v. 96, n. 12, p. 2107, doi. 10.1175/BAMS-D-13-00283.1
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A Unified Flash Flood Database across the United States.
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- Bulletin of the American Meteorological Society, 2013, v. 94, n. 6, p. 799, doi. 10.1175/BAMS-D-12-00198.1
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On the Uncertainties of Flash Flood Guidance: Toward Probabilistic Forecasting of Flash Floods.
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- Journal of Hydrometeorology, 2006, v. 7, n. 5, p. 896, doi. 10.1175/JHM529.1
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Applicability of 2-D modeling for forecasting ice jam flood levels in the Hay River Delta, Canada.
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- Canadian Journal of Civil Engineering, 2012, v. 39, n. 6, p. 701, doi. 10.1139/l2012-056
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Closure to 'Storm Centering Approach for Flood Predictions from Large Watersheds' by James C. Y. Guo.
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- Journal of Hydrologic Engineering, 2014, v. 19, n. 1, p. 272, doi. 10.1061/(ASCE)HE.1943-5584.0000883
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- Article
Discussion of 'Storm Centering Approach for Flood Predictions from Large Watersheds' by James C. Y. Guo.
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- Journal of Hydrologic Engineering, 2014, v. 19, n. 1, p. 270, doi. 10.1061/(ASCE)HE.1943-5584.0000800
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- Article
Application of Fuzzy Optimization Model Based on Entropy Weight in Typical Flood Hydrograph Selection.
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- Journal of Hydrologic Engineering, 2013, v. 18, n. 11, p. 1400, doi. 10.1061/(ASCE)HE.1943-5584.0000544
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Regional Flood-Frequency Analysis: How We Got Here and Where We Are Going.
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- Journal of Hydrologic Engineering, 2012, v. 17, n. 9, p. 953, doi. 10.1061/(ASCE)HE.1943-5584.0000584
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Toward more robust extreme flood prediction by Bayesian hierarchical and multimodeling.
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- Natural Hazards, 2016, v. 81, n. 1, p. 203, doi. 10.1007/s11069-015-2070-6
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Water Flow Forecasting and River Simulation for Flood Risk Analysis.
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- Information Technology & Management Science, 2012, v. 16, n. 1, p. 42, doi. 10.2478/itms-2013-0006
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Sensitivity of Idealized Supercell Simulations to Horizontal Grid Spacing: Implications for Warn-on-Forecast.
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- Monthly Weather Review, 2015, v. 143, n. 8, p. 2998, doi. 10.1175/MWR-D-14-00416.1
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Data Assimilation within the Advanced Circulation (ADCIRC) Modeling Framework for Hurricane Storm Surge Forecasting.
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- Monthly Weather Review, 2012, v. 140, n. 7, p. 2215, doi. 10.1175/MWR-D-11-00118.1
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Field observations and process understanding in hydrology: essential components in scaling.
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- Hydrological Processes, 2006, v. 20, n. 6, p. 1439, doi. 10.1002/hyp.6191
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Probabilistic flood prediction in the upper Huaihe catchment using TIGGE data.
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- Acta Meteorologica Sinica, 2012, v. 26, n. 1, p. 62, doi. 10.1007/s13351-012-0106-3
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The European Flood Alert System and the communication, perception, and use of ensemble predictions for operational flood risk management.
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- Hydrological Processes, 2013, v. 27, n. 1, p. 147, doi. 10.1002/hyp.9419
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On the Use of Global Flood Forecasts and Satellite-Derived Inundation Maps for Flood Monitoring in Data-Sparse Regions.
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- Remote Sensing, 2015, v. 7, n. 11, p. 15702, doi. 10.3390/rs71115702
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Inundations in the Inner Niger Delta: Monitoring and Analysis Using MODIS and Global Precipitation Datasets.
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- Remote Sensing, 2015, v. 7, n. 2, p. 2127, doi. 10.3390/rs70202127
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WEB-BASED FLOOD INFORMATION SYSTEM: CASE STUDY OF SOMESUL MARE, ROMANIA.
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- Environmental Engineering & Management Journal (EEMJ), 2013, v. 12, n. 5, p. 1065, doi. 10.30638/eemj.2013.130
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- Article