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Open climate data seen by mountain glaciers as a natural low-pass filter #9
Glaciers constitute natural low-pass filters of atmospheric variability. They allow people to directly perceive slow changes of the climate system, that would otherwise be superimposed by short-term noise in human perception. Since glaciers form prominent features of many landscapes, shrinking glaciers have become an icon of climate change.
There are very few large-scale glacier models available to date, and only one of them is open-source. An interactive visualization tool displaying near real-time global current (and projected) glacier change would have a great value for public awareness and education about glaciers and climate change.
In this project I propose to drive the Open Global Glacier Model (OGGM) with all major gridded climate datasets (present & future) and analyze them under a "glacier perspective". Differences between projections will be made visible thanks to interactive visualizations (regional maps, timeseries, single glaciers) and a companion website will explain the model output for a wider audience.
Monthly averages of gridded temperature and precipitation (e.g. from GCMs, reanalyses or gridded observations). The longer the dataset the better it is.
Is your team incomplete and you need extra help?
Yes I would definitely need help! I am a scientist with a reasonable programming background, but I would be glad to be joined by:
Small update and a side project: in order to leverage the CDS ERA5 and glacier data, a great visualization would be to explore the location of all glaciers worldwide and visualize climate statistics where there are, i.e find out under which type of climate glaciers are found: temperature, solid precipitaiton, continentality, dry/wet, etc...