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nwp model

Optimization of NWP model closure parameters using total energy norm of forecast error as a target

Optimization of NWP model closure parameters using total energy norm of forecast error as a target

... (NWP) model fore- cast ...default model up to day 10 forecasts (and be- yond), (ii) headline forecast skill scores are improved in the training sample as well as in independent samples, (iii) the ...

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Modelling of weather radar echoes from anomalous propagation using a hybrid parabolic equation method and NWP model data

Modelling of weather radar echoes from anomalous propagation using a hybrid parabolic equation method and NWP model data

... of the ray-paths used to construct the reference mean wave surfaces. It is important to stress that the ray paths only need to be modelled approximately; small errors lead to (re)emergence of apparent refractive index ...

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Modelling Glaciers in the HARMONIE AROME NWP model

Modelling Glaciers in the HARMONIE AROME NWP model

... for NWP purposes due to the relatively small human population affected by glaciers and they have thus often been neglected in NWP model devel- ...surface model that contains parameterizations ...

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Radiation sensitivity tests of the HARMONIE 37h1 NWP model

Radiation sensitivity tests of the HARMONIE 37h1 NWP model

... fluxes. Biases in the predicted downwelling, reflected and net short-wave (SW) fluxes could be due to atmospheric ra- diative transfer calculations. However, errors could also be related to incorrect input to the ...

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Radiation sensitivity tests of the HARMONIE 37h1 NWP model

Radiation sensitivity tests of the HARMONIE 37h1 NWP model

... fluxes. Biases in the predicted downwelling, reflected and net short-wave (SW) fluxes could be due to atmospheric ra- diative transfer calculations. However, errors could also be related to incorrect input to the ...

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Precipitation forecasting by a mesoscale numerical weather prediction (NWP) model: eight years of experience

Precipitation forecasting by a mesoscale numerical weather prediction (NWP) model: eight years of experience

... operational model in spring ...driving model at the top of the model domain was replaced by a radiative upper boundary ...Local Model as operational ...

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Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation

Using reference radiosondes to characterise NWP model uncertainty for improved satellite calibration and validation

... Office model data files are extracted from the Managed Archive Storage System (MASS) and only ± 5 ◦ latitude and longitude around the GRUAN launch site is kept to limit the data ...the model fields cover ...

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Extracting statistical parameters of extreme precipitation from a NWP model

Extracting statistical parameters of extreme precipitation from a NWP model

... Figure 9 shows a direct comparison between simulated M5 values at the NP0 points and the M5 based on precipitation measurements from the meteorological stations, again with no corrections applied. The RMS difference of ...

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A model-based approach to adjust microwave observations for operational applications: results of a campaign at Munich Airport in winter 2011/2012

A model-based approach to adjust microwave observations for operational applications: results of a campaign at Munich Airport in winter 2011/2012

... a model-based regression method to re- draw systematic errors and to provide comparable results within a network has been demonstrated, even though lim- itations became evident, mainly caused by model ...

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Surface temperature forecast skill comparison for the west coast of Saudi Arabia

Surface temperature forecast skill comparison for the west coast of Saudi Arabia

... the NWP model based datasets are then compared with the corresponding AOGCM-based daily grid-box datasets nearest to the stations, for the overlapping ...

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Limited constraint, robust Kalman filtering for GNSS troposphere tomography

Limited constraint, robust Kalman filtering for GNSS troposphere tomography

... Abstract. The mesoscale variability of water vapour (WV) in the troposphere is a highly complex phenomenon and mod- elling and monitoring the WV distribution is a very impor- tant but challenging task. Any observation ...

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Web-based Mobile Client and Server Grid Data Service for Accessing High Resolution Weather Information

Web-based Mobile Client and Server Grid Data Service for Accessing High Resolution Weather Information

... In addition to the benefits of NWP methods, there are some variables that need to be considered, ensuring the accuracy of the weather information provided. Other methods that are used for weather predictions often ...

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Instability indices and forecasting thunderstorms: the case of 30 April 2009

Instability indices and forecasting thunderstorms: the case of 30 April 2009

... The climatology of thunderstorm days in Iran shows that statistically only a few stations have more than 50 days with thunderstorms and that a slightly larger number of stations have more than 30 days annually with ...

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Short-term wind power forecasting using a double-stage hierarchical ANFIS approach for energy management in microgrids

Short-term wind power forecasting using a double-stage hierarchical ANFIS approach for energy management in microgrids

... ANFIS model is pre- ...the NWP model obtained at the vicinity of Goldwind micro- grid system wind farm in Yizhuang, Beijing, China within 5 km resolution, and actual measurement records of the wind ...

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Perturbation of convection-permitting NWP forecasts for flash-flood ensemble forecasting

Perturbation of convection-permitting NWP forecasts for flash-flood ensemble forecasting

... convection-permitting NWP deterministic ...high-resolution NWP precipitation fore- casts in order to quantify the predictability of the stream- flow ...convection-permitting NWP-model error ...

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Effects of Aerosols on Solar Radiation in the ALADIN HIRLAM NWP System

Effects of Aerosols on Solar Radiation in the ALADIN HIRLAM NWP System

... cluding the direct radiative e ff ect of mineral dust and biomass burning aerosols during the dry season in West Africa resulted in an inaccurate representation of the surface energy budget and a warm bias in screen ...

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Statistical modelling of rainfall-induced shallow landsliding using static predictors and numerical weather predictions:

Statistical modelling of rainfall-induced shallow landsliding using static predictors and numerical weather predictions:

... the model largely under-estimates the rainfall amounts for high thresholds (broadly greater than 60 ...the model to predict the exact locations of the deep convection processes can also be visually ...

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Evaluation of numerical weather prediction model precipitation forecasts for short term streamflow forecasting purpose

Evaluation of numerical weather prediction model precipitation forecasts for short term streamflow forecasting purpose

... the NWP precipitation forecasts in Australia from a hydrological per- ...the NWP model is often too coarse to resolve the small catch- ment ...with NWP model grids. This may require an ...

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Flood forecasting using medium range probabilistic weather prediction

Flood forecasting using medium range probabilistic weather prediction

... global NWP model of the European Centre for Medium-Range Weather Forecasts (ECMWF) with the large-scale hydrological model LISFLOOD for two historic flood events: the river Meuse flood in January ...

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Quality assessment of Automatic Dependent Surveillance Contract (ADS-C) wind and temperature observation from commercial aircraft

Quality assessment of Automatic Dependent Surveillance Contract (ADS-C) wind and temperature observation from commercial aircraft

... global NWP model from the European Centre for Medium Range Weather Forecast (ECMWF) and to Mode-S observations in the vicin- ity of Amsterdam Airport ...

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