Short-Range Numerical Weather Prediction of Extreme Precipitation Events Using Enhanced Surface Data Assimilation
Abstract
:1. Background
2. The Forecasting System and Surface Initial State
2.1. NWP System
2.2. Default Surface Data Assimilation of Temperature and Moisture
3. Modelling System Setup and Description of Cases
4. An Enhanced Assimilation of Surface Temperature and Soil Moisture
4.1. Overview
4.2. Screen-Level Structure Functions
4.3. Flow-Dependent Vertical Spreading of Information
4.4. Use of Remote Sensing Data
5. Organisation of Experiments
6. Results
6.1. Objective Verification
6.2. Subjective Verification of a Case Study
7. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Period | Charachteristics |
---|---|
20130612–20130619 | Heavy precipitation in the Pyrenees. |
20130721–20130728 | Large convective precipitation amounts in northern continental Europe. |
20140622–20140625 | Severe precipitation case in the southwestern part of France. |
Versions | Description |
---|---|
OI | Default surface data assimilation. |
OI-MESC | Identical to OI but with default background error statistics replaced by MESCAN. |
EKF-MESC | Identical to OI-MESC but with a simplified Kalman filter being used in the vertical. |
EKF-MESC-SCAT | Identical to EKF-MESC but using in addition scatterometer soil moisture product. |
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Lindskog, M.; Landelius, T. Short-Range Numerical Weather Prediction of Extreme Precipitation Events Using Enhanced Surface Data Assimilation. Atmosphere 2019, 10, 587. https://doi.org/10.3390/atmos10100587
Lindskog M, Landelius T. Short-Range Numerical Weather Prediction of Extreme Precipitation Events Using Enhanced Surface Data Assimilation. Atmosphere. 2019; 10(10):587. https://doi.org/10.3390/atmos10100587
Chicago/Turabian StyleLindskog, Magnus, and Tomas Landelius. 2019. "Short-Range Numerical Weather Prediction of Extreme Precipitation Events Using Enhanced Surface Data Assimilation" Atmosphere 10, no. 10: 587. https://doi.org/10.3390/atmos10100587