Add to ORKGThe article of record as published may be found at http://dx.doi.org/10.1175/WAF-D-17-0066.1This work develops and tests the viability of obtaining skillful short-range (<20 h) visibility predictions using statistical postprocessing of a 4-km, 10-member Weather Research and Forecasting (WRF) ensemble configured to closely match the U.S. Air Force Mesoscale Ensemble Forecast System. The raw WRF predictions produce excessive forecasts of zero cloud water, which is simultaneously predicted by all ensemble members in 62% of observed fog cases, leading to zero ensemble dispersion and no skill in these cases. Adding dispersion to the clear cases by making upward adjustments to cloud water predictions from individual members not predicting f...
Quantifying uncertainty in weather forecasts typically employs ensemble prediction systems, which co...
Weather forecasts are produced by complex numerical models, issued to end users and then updated aft...
Linear post-processing approaches are proposed and fundamental mechanisms are analyzed by which the ...
The past fifteen years have witnessed a radical change in the practice of weather forecasting, in th...
This study applies statistical postprocessing to ensemble forecasts of near-surface temperature, 24 ...
The relative roles of statistical weather preprocessing and streamflow postprocessing in hydrologica...
Statistical postprocessing techniques are nowadays key components of the forecasting suites in many ...
International audienceAbstract Statistical postprocessing techniques are nowadays key components of ...
Thesis (Ph. D.)--University of Washington, 2003This study developed and evaluated a short-range ense...
Nowcasting is a modern technique in weather prediction that seeks to produce highly accurate analysi...
Operational probabilistic weather forecasts at leads times of days ahead depend on ensembles of nume...
We develop post-processing approaches based on linear regression that make ensemble forecasts more r...
This chapter is devoted to a description of the main methods proposed so far to postprocess long-ran...
Numerical weather prediction (NWP) models (including mesoscale) have limitations when it comes to de...
International audienceAbstract. Statistical post-processing of ensemble forecasts, from simple linea...
Quantifying uncertainty in weather forecasts typically employs ensemble prediction systems, which co...
Weather forecasts are produced by complex numerical models, issued to end users and then updated aft...
Linear post-processing approaches are proposed and fundamental mechanisms are analyzed by which the ...
The past fifteen years have witnessed a radical change in the practice of weather forecasting, in th...
This study applies statistical postprocessing to ensemble forecasts of near-surface temperature, 24 ...
The relative roles of statistical weather preprocessing and streamflow postprocessing in hydrologica...
Statistical postprocessing techniques are nowadays key components of the forecasting suites in many ...
International audienceAbstract Statistical postprocessing techniques are nowadays key components of ...
Thesis (Ph. D.)--University of Washington, 2003This study developed and evaluated a short-range ense...
Nowcasting is a modern technique in weather prediction that seeks to produce highly accurate analysi...
Operational probabilistic weather forecasts at leads times of days ahead depend on ensembles of nume...
We develop post-processing approaches based on linear regression that make ensemble forecasts more r...
This chapter is devoted to a description of the main methods proposed so far to postprocess long-ran...
Numerical weather prediction (NWP) models (including mesoscale) have limitations when it comes to de...
International audienceAbstract. Statistical post-processing of ensemble forecasts, from simple linea...
Quantifying uncertainty in weather forecasts typically employs ensemble prediction systems, which co...
Weather forecasts are produced by complex numerical models, issued to end users and then updated aft...
Linear post-processing approaches are proposed and fundamental mechanisms are analyzed by which the ...