تقرير
Convex Optimization of Initial Perturbations toward Quantitative Weather Control
| العنوان: | Convex Optimization of Initial Perturbations toward Quantitative Weather Control |
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| المؤلفون: | Ohtsuka, Toshiyuki, Okazaki, Atsushi, Ogura, Masaki, Kotsuki, Shunji |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science Mathematics Physics (Other) |
| مصطلحات موضوعية: | Physics - Atmospheric and Oceanic Physics, Electrical Engineering and Systems Science - Systems and Control, Mathematics - Optimization and Control |
| الوصف: | This study proposes introducing convex optimization to find initial perturbations of atmospheric models for realizing specified changes in subsequent forecasts. In the proposed method, we formulate and solve an inverse problem to find effective perturbations in atmospheric variables so that controlled variables satisfy specified changes at a specified time. The proposed method first constructs a sensitivity matrix of controlled variables, such as accumulated precipitation, to the initial atmospheric variables, such as temperature and humidity, through sensitivity analysis using numerical weather prediction (NWP) models. The sensitivity matrix is used to solve the inverse problem as convex optimization, in which a global optimal solution can be found computationally efficiently. The proposed method was validated through a benchmark warm bubble experiment using an NWP model. The experiments showed that identified perturbation successfully realized specified spatial distributions of accumulated precipitation. These results demonstrated the possibility of controlling the real atmosphere by solving inverse problems and adding small perturbations to atmospheric states. Comment: license changed to CC BY 4.0; revised to improve readability; some figures in Appendix omitted to improve conciseness |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2405.19546 |
| رقم الأكسشن: | edsarx.2405.19546 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |