Primary productivity of sea-ice algae and the related variables in the Arctic Ocean simulated by five FAMOS models

Daily time series of ice-algal productivity, ice-algal biomass, sea-ice concentration, snow depth, sea-ice thickness, sea-ice nitrate, and ocean surface nitrate for 1980-2009 simulated by five models. These models are developed in the the Japan Agency for Marine-Earth Science and Technology (JAMSTEC), the University of Alaska Fairbanks (UAF), the University of Victoria (UVic), and the University of Washington (UW), respectively. Two packages of global and regional versions are provided by the UAF. The other three datasets are produced by pan-Arctic regional models. More detailed are described in Watanabe et al. [2019, Journal of Geophysical Research Oceans], where multi-model intercomparison of ice-algal productivity was conducted in the Forum for Arctic Modeling and Observational Synthesis (FAMOS) project. This study was supported by JSPS KAKENHI (18H03368).本数据集包含1980-2009年的逐日时间序列数据，涵盖冰藻生产力、冰藻生物量、海冰浓度、雪深、海冰厚度、海冰硝酸盐含量及海洋表层硝酸盐含量，所有数据均由5个模式模拟生成。这5个模式分别由日本海洋地球科学技术厅（Japan Agency for Marine-Earth Science and Technology, JAMSTEC）、阿拉斯加费尔班克斯大学（University of Alaska Fairbanks, UAF）、维多利亚大学（University of Victoria, UVic）以及华盛顿大学（University of Washington, UW）开发。其中，阿拉斯加费尔班克斯大学提供了全球与区域两个版本的数据集包，其余三个数据集均由泛北极区域模式生成。更多细节可参见Watanabe等人2019年发表于《地球物理研究杂志：海洋》的研究，该研究在北极模式与观测综合论坛（Forum for Arctic Modeling and Observational Synthesis, FAMOS）项目框架下开展了冰藻生产力的多模式对比分析。本研究受日本学术振兴会科研费补助金（JSPS KAKENHI，18H03368）资助。