Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  SCENARIO: Upper tropospheric humidity and climate change


   Department of Meteorology

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  Prof RP Allan, Dr M.I. Hegglin, Dr Jiju John, Dr Alejandro Bodas-Salcedo  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Upper tropospheric humidity – determining the tiny quantities of water vapour in the air many kilometres above our heads – is of central importance to the Earth’s greenhouse effect and ongoing climate change. It is considered an essential climate variable because it controls key atmospheric processes, including water vapour and cloud feedbacks that can amplify the climate system’s response to increases in other greenhouse gases such as carbon dioxide. It regulates the planet’s natural cooling system through absorption of outgoing infrared radiation, and where the humidity exceeds saturation point, determines the distribution and thickness of high-altitude clouds. It is therefore vital to understand past variability and change in upper tropospheric humidity and evaluate these key processes in complex climate simulations used to make projections of future climate change.

This project will exploit state of the art global satellite measurements and novel diagnostic tools to evaluate dataset quality, quantify the variability of atmospheric humidity in space and time and use this information to advance understanding of important atmospheric processes as well interrogate and improve detailed weather and climate prediction models that are of great benefit to society. The research will provide a valuable interface between Earth Observation and climate modelling, as well elucidating feedback processes fundamental to climate change and therefore of great relevance to policymakers. The supervision team provides a broad expertise across climate science and Earth Observation and there will be the opportunity to work with scientists from the UK Met Office involved in the development of weather and climate models and with scientists stationed at EUMETSAT who are directly involved in producing and extending key satellite observing systems.

The project will tackle important questions relating to the climate system including:
• How much does upper tropospheric humidity amplify climate change?
• Can state of the art climate models capture the processes determining variability and change in upper tropospheric humidity?
• Will signatures from upper tropospheric humidity provide new insight into high altitude cloud feedbacks?
• How does upper tropospheric humidity control Earth’s radiative energy balance?

Training opportunities:
There will be opportunities to liaise and learn from EUMETSAT partners involved in developing Upper Tropospheric Humidity datasets and Met Office partners on using and evaluating climate model simulations. This will provide comprehensive training in cross-disciplinary data analysis skills applied to models and Earth observations.

Student profile:
Applicants should hold or expect to gain a minimum of a 2:1 Bachelor Degree, Masters Degree with Merit, or equivalent in physical science with good numerical skills. An interest in observing the Earth and monitoring ongoing climate change as well as an interest in meteorology and climate science will be an advantage as will knowledge of programming and experience in developing numerical models: all of these aspects are desirable but not essential.

To apply, please follow the instructions at https://research.reading.ac.uk/scenario/apply/



Funding Notes

This project is potentially funded by the Scenario NERC Doctoral Training Partnership, subject to a competition to identify the strongest applicants.

There is the possibility to gain support to undertake a trip to the EUMETSAT partners in Darmstaad, Germany.

Due to UKRI rules, the DTP can only fund a very limited number of international students. We will only consider applications from international students with an outstanding academic background placing them in the top 10% of their cohort.

References

Lang, T., Buehler, S.A., Burgdorf, M. et al. A new climate data record of upper-tropospheric humidity from microwave observations. Sci Data 7, 218 (2020). https://doi.org/10.1038/s41597-020-0560-1

How good is research at University of Reading in Earth Systems and Environmental Sciences?


Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

Where will I study?