I propose creating a web based ocean atlas (similar to the WOCE Atlas, shown above) of CMIP6 models sampled as WOCE/GO-SHIP cruises. From the website, one will be able select an ocean transect (A16, P16,S4, etc) and then compare the CMIP6 model mean, single model ensembles, and individual realizations to observations. The high quality bottle samples will come from the GLODAPv2 bottle data product. When the hackathon is over, we will have a functioning website and begin a draft of the publication that will accompany the dataset of remapped files. Much of the data processing workflow has been mapped out, therefore I expect much of our collaboration to be focused on developing the web based atlas. Questions to consider will be:
- How should we compare observations to single model ensembles?
- What skill metrics should we use?
- What variables should we include?
With this atlas we can make the CMIP6 data more accessible to observationalists, and modelers will spend much less time creating comparisons of simulated tracer fields and observed tracer fields from WOCE/GO-SHIP cruises.
- Dataset of CMIP6 models remapped to ocean observations
- A functional first-draft of the web based CMIP6 ocean atlas.
- Post hackathon, we will submit the publication associated with the dataset to Earth System Science Data or as a preprint via EarthArXiv
- A python package for applying this to any ocean model (such as regional models)
The creation of the dataset can be completed over the few days of the CMIP6 Hackathon by leveraging existing python packages. We will utilize easy_coloc to map simulations to observational space. For storage, Pangeo seems like a perfect home for the remapped files. Finally, for quantitative comparisons between models and observations, we will use skill metrics from the xskillscore package.
3d fields of:
- Circulation tracers
- Biogeochemical Tracers
Anyone with experience in skill metrics, basic web development, and/or ocean model analysis