Hello Respected Researchers, I'm Looking forward to the ressearch community to share ideas and research work for future PhD candidates in Meteorology Direction related to Hydro Meteorology, remote sensing and landcover change.
The question is very general and there are certainly many interesting topics to consider on the interface between Meteorology, Hydro Meteorology, remote sensing and landcover change. It is not clear, however, if you are looking for theoretical or applied research. If your interest is related to the former, I suggest checking out Ghil (2001): Hilbert problems for the geosciences in the 21st century
1.) DUST CLOUD vs CYCLONES-- The interaction between the Indian Ocean and Arabian Sea cyclones vs. the "Pakistan-Arabia Dust Cloud" which can eat a Category-5 cyclone for breakfast? See https:www.ecoseeds.com/GONU.html and https://www.ecoseeds.com/newGONU.html and
https://www.ecoseeds.com/GONU3.html
plus paintings #48 and #52-60 of these cyclone-Dust Cloud battles at https://www/ecoseeds.com/art3.html
2.)RAIN CLOUDS born in TROPICAL FORESTS-- The creation of rain clouds in SE Asia and west coast of Indian and central Africa by Pseudomonas bacteria living on leaves of tropical trees -- see image from India and article at https://www.discovermagazine.com/planet-earth/does-rain-come-from-life-in-the-clouds
And the power of the Dust Clouds can quickly block, stall and dissipate the power of any cyclone on the planet... if the Dust Cloud is blocking its track. See my baatkes with the Dust Cloud and GONU, and my paintings of the other battles where the cyclones pitifully lost. And the Dust Cloud can be relatively weak, only 40-100 micrograms of dust per cubic meter, can have an effect on a cyclone.
You may start looking for forecast failures to get idea for what you need to do. It's always nice to look forward to betterment of forecasting skill through conversation of research into operation.
So, that's it! Look forward to grey areas of prediction capacity and choose your topic! There won't be any death of idea, as no prediction is perfect!
Meteorological parameters and crop phenophases to develop yield forecasting models and field valvalidation , the best service you can do to perennial fruit crops, most of us are clueless on this line. Use some AI as well to add value to your work...