{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T21:02:03Z","timestamp":1769461323716,"version":"3.49.0"},"reference-count":41,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T00:00:00Z","timestamp":1769385600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Sichuan Science and Technology Program","award":["2024NSFTD0043"],"award-info":[{"award-number":["2024NSFTD0043"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>This study applies a modality-bridging framework to automatically construct Chain-of-Thought (CoT) reasoning from meteorological images, reducing the need for expert annotation. The proposed pipeline integrates semantic extraction, Pseudo-CoT generation, and logical fusion to produce structured reasoning chains. Using the WeatherQA benchmark, we build datasets under single-image, 3-image, and 20-image settings\u2014with automated and Expert-Guided variants\u2014and evaluate performance on Areas Affected and Conditional Concern tasks. The results show near-expert spatial reasoning and more compact, well-aligned CoTs with reduced-image inputs. Multi-image settings reveal challenges in integrating dense visual cues, while semantic classification remains difficult due to label ambiguity. Overall, modality-bridging offers a scalable, interpretable, and low-cost approach for multimodal meteorological reasoning.<\/jats:p>","DOI":"10.3390\/info17020116","type":"journal-article","created":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T10:24:36Z","timestamp":1769423076000},"page":"116","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Modality-Bridging for Automated Chain-of-Thought Construction in Meteorological Reasoning: A Study on WeatherQA"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-0617-4413","authenticated-orcid":false,"given":"Hang","family":"Cui","sequence":"first","affiliation":[{"name":"School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8602-3996","authenticated-orcid":false,"given":"Jiqing","family":"Gu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7221-1216","authenticated-orcid":false,"given":"Jing","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiejun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,1,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Chen, L., Han, B., Wang, X., Zhao, J., Yang, W., and Yang, Z. 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