IG shopping malls haven’t changed very much in 20 years

And this is how to do it! https://newpipe.net/FAQ/tutorials/install-add-fdroid-repo/

I do not find any option for push notifications, the app also is not trying to register using microg. I am not sure why it is supposed to give push notifications tbh.

I just switched some weeks ago from Flym. Flym was my alltime favourite RSS reader, but it is not developed anymore. Read You comes closest to Flym’s minimal design and slowly I am getting used to it.

I didn’t know either, but it seems to be an often picked ‘random’ number by people. Here is an article about it, I didn’t read it though.

Absolutely understandable. Maybe there is some easy tool around, but I see some potential problems.

Questions such as “Is this zone habitable in 2035” or “Will this area be ocean in 2050” are extremely hard to answer with our current knowledge and available data. As you probably know, climate scientists speak of probabilities, as projections e.g.for temperature are highly uncertain, especially in the more far away future. If there is a tool answering such questions, you probably can’t trust it. Then, you will likely not get a one does it all tool, as the questions OP asked are highly specific. All in all the matter is very complex and there are no easy answer. You need some kind of motivation to gather a certain amount of background knowledge about the topic.

I think what comes closest to what OP wants is downloading model results from largely accepted climate models such as CMIP6. They usually come in special file formats that can efficiently store geospatial time series, such as netCDF or HDF5. There are tools like Panoply where you can do some very nice visualisations. You do not need to code neither is the software very complex. QGIS and ArcGIS are overkill here, as you would not want to do spatial analysis but only visualize.

The work you would need to do is 1) understanding what you want - there is not a single result, instead you have climate projections under several different scenarios, model assumptions, input data etc. You need to figure out what to choose. 2) Have a decent feeling of geospatial visualization techniques. Cartography is a complex field, and correctly visualizing data is pretty hard.

I am sorry I cannot provide easy solution. WhatI can offer is helping to acquire data if you what you want and also I can give technical support on visualization software. Maybe also give you some guidelines on how to interpret a figure.

https://wcrp-cmip.org/cmip-phase-6-cmip6/