A stochastic model of the model error to improve the ICON‑D2‑EPS ensemble forecasts
In this work, we aim at improving the operational regional ensemble forecast system ICON‑D2‑EPS at the German Meteorological Service (Deutscher Wetterdienst, DWD). To this end, we propose to describe the model error of the forecast with a random field generated by a linear stochastic partial differe...
Main Authors: | Martin Sprengel, Christoph Gebhardt |
---|---|
Format: | Article |
Language: | English |
Published: |
Borntraeger
2023-10-01
|
Series: | Meteorologische Zeitschrift |
Subjects: | |
Online Access: | http://dx.doi.org/10.1127/metz/2023/1174 |
Similar Items
-
ICON (ICOsahedral Non-hydrostatic) Model Sensitivity over the Central Mediterranean
by: Euripides Avgoustoglou, et al.
Published: (2023-09-01) -
The Impact of Stochastic Physics-Based Hybrid GSI/EnKF Data Assimilation on Hurricane Forecasts Using EMC Operational Hurricane Modeling System
by: Zhan Zhang, et al.
Published: (2020-07-01) -
Verification of tropical cyclones (TC) wind structure forecasts from global NWP models and ensemble prediction systems (EPSs)
by: Xiaoqin Lu, et al.
Published: (2022-06-01) -
Mitigating Atmospheric Effects in InSAR Stacking Based on Ensemble Forecasting with a Numerical Weather Prediction Model
by: Fangjia Dou, et al.
Published: (2021-11-01) -
Stratification of the vertical spread‐skill relation by radiosonde drift in a convective‐scale ensemble
by: David L. A. Flack
Published: (2024-02-01)