Precipitation and its changes with warming in CMIP6
Precipitation is a key variable driving and responding to atmosphere, ocean, and land surface climate. What are some key aspects of precipitation, it’s variability and change, in CMIP6 simulations? How do they differ from CMIP5 simulations?
We can get more specific if people want to look at something in particular.
There are many aspects of precipitation change to explore. We could do a deep dive on a specific aspect of precipitation change, if people have particular desires. Barring other proposals, we will update Figure 3 from Pendergrass et al 2017 with CMIP6 data in a shareable notebook (or binder?).
Anticipated Data Needs
Monthly pr, huss, and tas from historical and at least one ssp. Likely targets if the mission expands are daily (or higher temporal resolution) pr, and tas from piControl and abrupt4xCO2. We may want analogous data from CMIP5 if we’re going to do specific comparisons too.
Anticipated Software Tools
To accomplish something, we won’t need much more than standard tools like xarray and matplotlib. It can grow though too. We can even build on @rabernat’s binder based on some code I’d written. Cloud Example: 3hr Precip Frequency Distribution
Anyone interested in precipitation, and/or extremes. It’s worth noting that at least one of us will be participating remotely, so we’ll experiment with asynchronous collaboration (though if we don’t want decentralized computing, it could focus on cheyenne at NCAR).