[PDF] Top 20 Long range forecasting of intermittent streamflow
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Long range forecasting of intermittent streamflow
... From Table 5, it appears that the entire Pacific has a stronger influence in the 6 month forecast and the eastern and central Pacific in the 12 month forecast. The µ ˆ models selected are reasonably homogenous for all ... See full document
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GloFAS – global ensemble streamflow forecasting and flood early warning
... hydrological model behind. This is an important step for future improvements, particularly for a global system that therefore includes the full range of climates and hydrolog- ical regimes of the earth. Results in ... See full document
15
Skill of a global forecasting system in seasonal ensemble streamflow prediction
... Seasonal forecasting by GCMs is based on coupled ocean–atmospheric integrations, where both atmospheric and oceanic components of the Earth’s sys- tem are taken into ...climate forecasting at seasonal scale ... See full document
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Assessment of an ensemble seasonal streamflow forecasting system for Australia
... new streamflow forecasting system called “forecast guided stochastic scenar- ios”, or ...climate forecasting system to force a monthly rainfall–runoff ...to long time horizons (12 ... See full document
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Seasonal streamflow forecasting by conditioning climatology with precipitation indices
... from long-range stream- flow forecasts. Climatology has long been used in long- range streamflow ...seasonal streamflow fore- ...conditioned streamflow forecast ... See full document
19
Software Application for Data Driven Prediction Models for Intermittent Streamflow for Narmada River Basin
... term forecasting for hourly or daily period forecasting is important in flood mitigation whereas long term forecasting like monthly, seasonal or annual forecasting helps in operation of ... See full document
9
Verification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate
... strategy. Long-term hydrological forecasts often rely on past observations of streamflow or meteorological ...logical forecasting systems are compared: (1) the climatol- ogy of simulated ... See full document
16
Seasonal streamflow forecasts in the Ahlergaarde catchment, Denmark: the effect of preprocessing and post processing on skill and statistical consistency
... at long lead times precludes their use in weather-impacted sectors (Bruno Soares and Dessai, 2016; Weisheimer and Palmer, ...Medium- Range Weather Forecasts (ECMWF) System 4 in Denmark concluded that, in ... See full document
17
Assessment of an ensemble seasonal streamflow forecasting system for Australia
... new streamflow forecasting system called “forecast guided stochastic scenar- ios”, or ...climate forecasting system to force a monthly rainfall–runoff ...to long time horizons (12 ... See full document
24
Monitoring ephemeral, intermittent and perennial streamflow: a dataset from 182 sites in the Attert catchment, Luxembourg
... and intermittent streams where costs of installing a conventional gauging system are not reasonable (Peters et ...of streamflow intermittency due to point-scale information and thus incomplete monitoring of ... See full document
12
Mixed Variational-Monte Carlo Assimilation of Streamflow Data in Flood Forecasting: the Impact of Observations Spatial Distribution
... The assimilation system is developed for the physically based and spatially distributed hydro- logic model MOBIDIC (MOdello di Bilancio Idrologico DIstribuito e Continuo) [1, 4, 5], which is employed operatively at the ... See full document
8
Error Evolution Patterns in Multi-Step Ahead Streamflow Forecasting
... four forecasting methods producing different error evolution patterns to each ...one forecasting method to the ...the forecasting methods ...ETS_s forecasting methods the errors seem to keep ... See full document
10
Skilful seasonal forecasts of streamflow over Europe?
... for forecasting streamflow on seasonal timescales over ...seasonal streamflow forecasts (produced by forcing the Lisflood model with the ECMWF System 4 seasonal climate forecasts), benchmarked ... See full document
16
Seasonal streamflow forecasting in the upper Indus Basin of Pakistan: an assessment of methods
... The statistical seasonal forecasting model used is the Bayesian joint probability (BJP) approach of Wang et al. (2009). The BJP has state-of-the-art capabilities in devel- oping seasonal forecast models that ... See full document
17
Analysis Of Nigeria's National Electricity Demand Forecast (2013-2030)
... Annual power consumption pattern varies between hot/dry and rainy seasons. Maximum peak demand occurs between January and April when the weather is extremely hot and dry. Minimum annual load demand occurs between June ... See full document
8
A Literature Survey of Load Forecasting Methods and Impact of Different Factors on Load Forecasting
... Economic Factors: Economic factor has larger influence in Long Term load forecasting but it has also some effect on the SLTF. The economics of an environment also has a clear effect on the load consumption. ... See full document
6
Classification of hydro meteorological conditions and multiple artificial neural networks for streamflow forecasting
... the streamflow evolution: in the period immedi- ately following the forecast, a rising limb, for example, will keep increasing or will reach the peak and begin to decrease depending if the rainfall is continuing ... See full document
12
Monthly streamflow forecasting at varying spatial scales in the Rhine basin
... In the case of the monthly streamflow, the refRun model ends up with a correlation of about 0.9 for all lead times, spa- tial levels, and both Lobith and Basel (Fig. 2). Part of this correlation is also the annual ... See full document
14
Tracking the uncertainty in streamflow prediction through a hydrological forecasting system
... Using the ensemble prediction systems (EPS) is a popular approach to assess the uncertainty in flow forecasting due to precipitation forecast uncertainty. Many published literature, which have used EPS, are listed ... See full document
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Calibration of SWAT2009 Using Crop Biomass, Evapotranspiration, and Deep Recharge: Calera Watershed in Zacatecas, Mexico Case Study
... the streamflow trends were simulated well ...of streamflow simulations agreed well with observed values during the calibration phase (PBIAS < ±10 [very ...for streamflow for three watersheds in ... See full document
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