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Spatiotemporal estimation of nutrient data from the northwest pacific and east asian seas.
Lee, Gi Seop; Lee, Jung Ho; Cho, Hong Yeon.
Affiliation
  • Lee GS; Marine Bigdata AI Center, Korea Institute of Ocean Science and Technology, Busan, 49111, South Korea.
  • Lee JH; Data Tech Team, SK Telecom, Seoul, 02598, South Korea.
  • Cho HY; Marine Bigdata AI Center, Korea Institute of Ocean Science and Technology, Busan, 49111, South Korea. hycho@kiost.ac.kr.
Sci Data ; 10(1): 700, 2023 10 14.
Article de En | MEDLINE | ID: mdl-37838736
ABSTRACT
Nutrient data obtained from field observations have the potential to enhance our understanding of oceanic biogeochemical cycling and productivity changes. In particular, long-term nutrient data can provide valuable information on the links between climate change and biogeochemical changes. However, unlike other observational variables such as sea surface temperature, nutrient data are limited in terms of their broad-scale observations and automated sensor-based measurements. In this study, we analyzed nitrate and phosphate data obtained from coastal regions in Northeast Asia and the northwest Pacific from 1980 to 2019 using the spatiotemporal kriging technique and provide results in a spatiotemporal grid format. The data are available at monthly intervals and may be attractive to researchers in the fields of oceanography, marine ecology, and marine biogeochemistry at the climate change scale. Furthermore, sharing the source code of the data production process can contribute to better long-term data reproduction in the future.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Data Année: 2023 Type de document: Article Pays d'affiliation: Corée du Sud

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Data Année: 2023 Type de document: Article Pays d'affiliation: Corée du Sud