five

Reconciling Observation and Model Trends in North Atlantic Surface CO2, 1992-2014, by multiple linear regression.

收藏
DataCite Commons2020-07-29 更新2025-04-16 收录
下载链接:
https://www.bodc.ac.uk/data/published_data_library/catalogue/10.5285/8c1568f8-941e-512a-e053-6c86abc0d1e5/
下载链接
链接失效反馈
官方服务:
资源简介:
Monthly files of surface ocean fCO2 for the North Atlantic were generated for 1992 to 2014. They were generated by Multiple Linear Regression of interpolated observation-based products of surface ocean fCO2, split into seven latitude bands of 60, 30, 20, 10, 5, 2 and 1 degrees width. The multiple linear regression method was also applied to 19 CMIP5 model fields to calculate the interpolation error, in an approach known as Observation Sampling Experiments. Additionally, global files of monthly surface ocean fCO2 were generated using 5 ensembles of a coupled ocean-biogeochemical model with different surface flux forcing for each ensemble: ERA-Interim (observation-based forced experiment), CanESM2, GFDL-ESM2M, HadGEM2-ES and IPSL-CM5A-LR (CMIP5-forced simulations experiments).
提供机构:
British Oceanographic Data Centre, National Oceanography Centre, NERC, UK
创建时间:
2019-07-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作