{"title":"一个面向日本北海道鄂霍次克海岸的观测站记录了一个多世纪以来的海冰。","authors":"Takahiro Toyoda, Kento Tsukagawa, Yusuke Kimura, Honoka Abe, Meiji Honda, Yuki Yamada, Miku Amano, Yoshihiro Tachibana, Yuka Sawa, Keisuke Morimoto, Hiroaki Ueda, Katsushi Iwamoto, Kimihiro Itoh, Fumitake Shido, Hitoshi Tada, Hideki Kaneko, Katsuya Toyama, Naohiro Kosugi, Yusuke Ushijima, Masao Ishii","doi":"10.1038/s41597-025-05277-1","DOIUrl":null,"url":null,"abstract":"<p><p>Socio-economical activities around the Okhotsk coast of Hokkaido, Japan are strongly influenced by local sea ice variations, which are determined by larger-scale atmospheric drivers in the North Pacific. Here, we constructed the long-term sea ice observational data from the 1890s by combining data from the 1940s, already released by the Japan Meteorological Agency prior to this study, with further data shared for the first time in this study. For this purpose, old hand-written reports and sketches stored in the Abashiri Local Meteorological Office were investigated. For each year, first and last sea ice dates and daily sea ice variations recorded visually by sighting the ice were digitized to provide continuous time series to the present. In addition, we introduced a new reconstruction approach from satellite data for the date of last annual drift ice occurrence, for which observations are lacking after 2021. The data presented here are of value in understanding the long-term climate variability in the Sea of Okhotsk and the North Pacific.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"998"},"PeriodicalIF":6.9000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12166038/pdf/","citationCount":"0","resultStr":"{\"title\":\"Sea ice records over more than a century at an observatory facing the Okhotsk coast of Hokkaido, Japan.\",\"authors\":\"Takahiro Toyoda, Kento Tsukagawa, Yusuke Kimura, Honoka Abe, Meiji Honda, Yuki Yamada, Miku Amano, Yoshihiro Tachibana, Yuka Sawa, Keisuke Morimoto, Hiroaki Ueda, Katsushi Iwamoto, Kimihiro Itoh, Fumitake Shido, Hitoshi Tada, Hideki Kaneko, Katsuya Toyama, Naohiro Kosugi, Yusuke Ushijima, Masao Ishii\",\"doi\":\"10.1038/s41597-025-05277-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Socio-economical activities around the Okhotsk coast of Hokkaido, Japan are strongly influenced by local sea ice variations, which are determined by larger-scale atmospheric drivers in the North Pacific. Here, we constructed the long-term sea ice observational data from the 1890s by combining data from the 1940s, already released by the Japan Meteorological Agency prior to this study, with further data shared for the first time in this study. For this purpose, old hand-written reports and sketches stored in the Abashiri Local Meteorological Office were investigated. For each year, first and last sea ice dates and daily sea ice variations recorded visually by sighting the ice were digitized to provide continuous time series to the present. In addition, we introduced a new reconstruction approach from satellite data for the date of last annual drift ice occurrence, for which observations are lacking after 2021. The data presented here are of value in understanding the long-term climate variability in the Sea of Okhotsk and the North Pacific.</p>\",\"PeriodicalId\":21597,\"journal\":{\"name\":\"Scientific Data\",\"volume\":\"12 1\",\"pages\":\"998\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12166038/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Data\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41597-025-05277-1\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-025-05277-1","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Sea ice records over more than a century at an observatory facing the Okhotsk coast of Hokkaido, Japan.
Socio-economical activities around the Okhotsk coast of Hokkaido, Japan are strongly influenced by local sea ice variations, which are determined by larger-scale atmospheric drivers in the North Pacific. Here, we constructed the long-term sea ice observational data from the 1890s by combining data from the 1940s, already released by the Japan Meteorological Agency prior to this study, with further data shared for the first time in this study. For this purpose, old hand-written reports and sketches stored in the Abashiri Local Meteorological Office were investigated. For each year, first and last sea ice dates and daily sea ice variations recorded visually by sighting the ice were digitized to provide continuous time series to the present. In addition, we introduced a new reconstruction approach from satellite data for the date of last annual drift ice occurrence, for which observations are lacking after 2021. The data presented here are of value in understanding the long-term climate variability in the Sea of Okhotsk and the North Pacific.
期刊介绍:
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.