RAPID-WATCH VALOR: NEMO, FOAM AND ECMWF Model output

RAPID-WATCH VALOR project investigated how the inclusion of RAPID-WATCH observations into the 'initial conditions', used to start climate model simulations, can refine predictions of the future climate and, particularly, the future state of the AMOC.

This dataset collection contains NEMO, FOAM AND ECMWF Model output.

The project developed ways to assimilate the RAPID-WATCH and other ocean observations into ocean models which were then used to produce ocean 'syntheses' - complete data sets of our best guess of past ocean state. Similar syntheses were also produced which exclude the RAPID-WATCH observations. Both of these sytheses were then used to start prediction experiments in climate models. By comparing the climate model simulations starting with and without the RAPID-WATCH observations, the impact of the the RAPID-WATCH array observations on climate predictions, and the climate model AMOC were found.

RAPID-WATCH VALOR项目探究了将RAPID-WATCH观测数据纳入用于启动气候模型模拟的'初始条件'中，如何精炼对未来气候的预测，特别是对未来北大西洋海洋环流（AMOC）状态的预测。该数据集集合包含了NEMO、FOAM以及ECMWF模型输出。项目开发了一套方法，将RAPID-WATCH及其他海洋观测数据同化到海洋模型中，随后利用这些模型生成了海洋'综合数据'——即关于过去海洋状态的最新猜测的完整数据集。此外，还生成了排除RAPID-WATCH观测数据的类似综合数据。这两组综合数据随后被用于启动气候模型的预测实验。通过比较包含与不含RAPID-WATCH观测数据的气候模型模拟结果，研究了RAPID-WATCH阵列观测数据对气候预测以及气候模型中AMOC的影响。