Browsing Faculty of Science and Technology by Journals "Weather and forecasting"
Now showing items 1-3 of 3
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Enhancing Seasonal Forecast Skills by Optimally Weighting the Ensemble from Fresh Data
(Journal article; Peer reviewed, 2023)Dynamical climate predictions are produced by assimilating observations and running ensemble simulations of Earth system models. This process is time consuming and by the time the forecast is delivered, new observations ... -
Improving Radar-Based Precipitation Nowcasts with Machine Learning Using an Approach Based on Random Forest
(Journal article; Peer reviewed, 2020)A binary classification model is trained by random forest using data from 41 stations in Norway to predict the precipitation in a given hour. The predictors consist of results from radar nowcasts and numerical weather ... -
On the utility of individual tendency output: Revealing interactions between parameterized processes during a marine cold air outbreak
(Journal article; Peer reviewed, 2021)Forecasts of marine cold air outbreaks critically rely on the interplay of multiple parameterization schemes to represent subgrid-scale processes, including shallow convection, turbulence, and microphysics. Even though ...