[PDF] Top 20 Skill prediction of local weather forecasts based on the ECMWF ensemble
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Skill prediction of local weather forecasts based on the ECMWF ensemble
... also quantifying the confidence in this relation. In this case, the error of the high resolution forecast was contrasted with the standard deviation with respect to the ensemble mean. Each of the symbols “+” for ... See full document
10
Value of medium range weather forecasts in the improvement of seasonal hydrologic prediction skill
... range weather forecasts with lead times of up to 14 days to seasonal hydrologic prediction skill over the conterminous United States ...different Ensemble Streamflow Pre- diction (ESP) ... See full document
14
Benchmarking ensemble streamflow prediction skill in the UK
... forecasting skill in the absence of skilful atmospheric forecasts (Pagano et ...ESP based on years most similar to NAO con- ditions at the time of ...found skill improvements in the order of ... See full document
17
A gain–loss framework based on ensemble flow forecasts to switch the urban drainage–wastewater system management towards energy optimization during dry periods
... dry weather operation focussing on en- ergy optimization linking with the smart ...of weather forecasts, the forecast skills have to be converted to potential economic benefits for the user decision ... See full document
14
Downscaling medium-range ensemble forecasts using a neural network approach
... semble forecasts for probabilistic prediction of local precipitation in ...of weather patterns (WPs) dominated during the 1958–2008 period is ...weekly ensemble forecasts to ... See full document
5
Flood forecasting using medium range probabilistic weather prediction
... medium-range weather forecasting over the last decade, operational flood forecasting also appears to show a shift from a so-called single solution or best guess deterministic approach towards a probabilistic ... See full document
16
Short term Forecasts of TC Tracks over the Western Pacific Using the Multimodel Ensemble Approach
... Abstract. Based on the TC track ensemble forecast data of China Meteorological Administration (CMA), European Centre for Medium-Range Weather Fore-casts (ECMWF), Japan Meteorological Agency ... See full document
6
Skill of a global forecasting system in seasonal ensemble streamflow prediction
... the skill of seasonal stream- flow forecasts with the global hydrological forecasting sys- tem Flood Early Warning System (FEWS)-World, which has been set up within the European Commission 7th Frame- work ... See full document
12
Potential application of hydrological ensemble prediction in forecasting floods and its components over the Yarlung Zangbo River basin, China
... that ensemble flood forecasting based on numer- ical weather predictions can provide an early warning with extended lead ...semble prediction in forecasting flood volume and its com- ponents ... See full document
18
Parameter variations in prediction skill optimization at ECMWF
... numerical weather prediction (NWP) skill optimization has been tested using the Integrated Fore- casting System (IFS) of the European Centre for Medium- Range Weather Forecasts ... See full document
10
Escalation of Forecasting Accuracy through Linear Combiners of Predictive Models
... MLPs are the most widely implemented neural networks for stock market prediction. We considered here a MLP with one hidden layer and single output unit. The neurons in the input layer use a linear transfer ... See full document
14
On the skill of raw and post processed ensemble seasonal meteorological forecasts in Denmark
... the ECMWF System 4 ...better skill than the ensemble climatological forecast for the three variables in ...from ECMWF System 4 improve, on average, on the reference forecast by 22 % in terms ... See full document
19
Hourly probabilistic snow forecasts over complex terrain: a hybrid ensemble postprocessing approach
... of ECMWF hindcasts for model training and ECMWF EPS for prediction offers a computationally effi- cient way to get the required inputs for the SAMOS method (see Appendix ... See full document
22
A storm surge forecasting system for the Singapore Strait
... unit; ECMWF, European Centre for Medium-range Weather Forecasts; FNL, Final Operational Analysis; GFS, Global Forecast System; GUI, Graphic User Interface; HPC, high performance computing; MPA, ... See full document
11
Probabilistic weather forecasting for dynamic line rating studies
... probabilistic forecasts of weather conditions experienced at overhead lines (OHLs) in order to predict percentiles of dynamic line ratings of OHLs which can be used by a system operator within a chosen risk ... See full document
7
Technical note: Combining quantile forecasts and predictive distributions of streamflows
... of forecasts has a long tradition starting with Bates and Granger (1969) suggesting the use of empirical weights de- rived from “out of sample” forecast ... See full document
10
HOAPS and ERA-Interim precipitation over the sea: validation against shipboard in situ measurements
... The satellite-derived HOAPS climatology is a compilation of precipitation and evaporation data with the goal of es- timating the net freshwater flux from one consistently de- rived global satellite data set over the ... See full document
15
An evaluation of the Canadian global meteorological ensemble prediction system for short term hydrological forecasting
... of prediction horizon, is drawn in ...for prediction horizon up to about 48 h ...meteorological forecasts over the deterministic one for longer prediction ... See full document
11
Verification of ensemble forecasts of Mediterranean high-impact weather events against satellite observations
... As a complement to conventional rainfall measurements with rain gauge networks, which are unevenly distributed, satellite observations provide useful information on both cloud cover and rainfall over the whole globe, ... See full document
14
Making science work on the farm : a workshop on decision support systems for Irish agriculture
... The increasing demands of the global marketplace are presently reducing the differences between intensive livestock farmers' production costs and income. To realise the level of profits that were once taken for granted, ... See full document
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