| Issue |
E3S Web of Conf.
Volume 536, 2024
2024 6th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2024)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 4 | |
| Section | Environmental Planning Management and Ecological Construction | |
| DOI | https://doi.org/10.1051/e3sconf/202453601012 | |
| Published online | 10 June 2024 | |
Comparing Background Error Covariance in WRF for Micro-Meteorological Simulations
State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China
* Corresponding author: wy.1998.8@163.com
Accurately representing background error covariances is crucial for data assimilation in numerical weather prediction models. This study compared the performance of the National Meteorological Center (NMC) and RandomCV methods for estimating background error covariances in a 3DVAR system for the Weather Research and Forecasting (WRF) model, focusing on the micro-meteorological environment of a specific testing area. Results suggest that the NMC method may be more suitable for this specific context, although the differences between the two methods were not significant. The study highlights the need for further research to test these methods on a wider range of weather events and with additional data sources.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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