Plots from CMIP3 / CMIP5 climate model R Shiny app
Here are some screenshots of plots comparing CMIP3 and CMIP5 climate models. The plots come from the web application I have been developing in R for comparing and evaluating SNAP’s downscaled CMIP3 and CMIP5 GCM data. The app is still under development and not yet released. The plots I’ve shared here focus exclusively on CMIP5 RCP 6.0. CMIP3 can be assumed absent unless specifically mentioned in a plot caption. When present in comparison to CMIP5, I used the SRES A1B scenario. The plots make use of the five models SNAP has previously evaluated as being most sensible for our purposes in Alaska and the Arctic.
I stuck with basic captions and cropped the original plot titles out of the top of the graphics because dynamically generated plot titling and subtitling in the app based on user inputs has not been fully coded yet. Although the app offers a number of R plotting styles, I have selected just a few here, and have retained use of the basic colorblind-friendly default color palette throughout.
First a few annual and decadal time series plots.
Next, several plots examining monthly (intra-annual) patterns.
On average, do the collection of models from one CMIP phase tend to be drier or wetter than the other group over the projected course of the 21st century?
Scatter plots comparing precipitation and temperature enable us to explore which models might be the most extreme combination of warm and dry, which can be informative for fire behavior modeling using SNAP’s ALFRESCO model. The GCM which is generally the warmest over time may also be relatively wet and not necessarily one that would drive high fire activity in ALFRESCO. We can examine which models fall disproportionately into a given quadrant, and whether this is projected to occur consistently across time or there is a trend in movement toward the extremes we move further into the future.
Boxplots are just one of several ways to use the app to explore the spread in climate values around some mean level or trend.
Development on the app continues. Bugs are being fixed. Features are being added, enhanced., and stabilized.