Details of Award
NERC Reference : NE/V01837X/1
MesoS2D:Mesospheric sub-seasonal to decadal predictability
Grant Award
- Principal Investigator:
- Professor C Wright, University of Bath, Electronic and Electrical Engineering
- Grant held at:
- University of Bath, Electronic and Electrical Engineering
- Science Area:
- Atmospheric
- Overall Classification:
- Unknown
- ENRIs:
- Environmental Risks and Hazards
- Global Change
- Science Topics:
- Atmospheric ionisation
- Global atmospheric models
- Mesospheric chemistry
- Radiative forcing
- Atmospheric Kinetics
- Adaptive mesh modelling
- Atmospheric circulation
- Circulation modelling
- Gravity waves
- Large scale atmos modelling
- Mesosphere
- Solar wind
- Teleconnections
- Wave dynamics
- Large Scale Dynamics/Transport
- Infrared imaging
- Mesospheric processes
- Remote sensing
- Radiative Processes & Effects
- Atmospheric chemistry
- Atmospheric particles
- Energetic particles
- Geomagnetism
- Gravity waves
- High latitude physics
- Ionosphere
- Mesosphere
- Meteor winds
- Microwave limb sounding
- Radar networks
- Solar activity
- Solar cycle
- Solar wind
- Stratosphere-mesosphere coupling
- Themosphere
- Vertical coupling
- Upper Atmos Process & Geospace
- Abstract:
- In order to accurately predict impacts of space weather and climate variability on the whole atmosphere we need an accurate representation of the whole atmosphere. The mesosphere (~50-95 km altitude) is the most poorly understood region of the atmosphere, it is the critical boundary between two domains (the climate domain and the space weather domain) and this presents a problem when trying to model and prediction conditions in the whole atmosphere. Currently the level of prediction in the mesosphere is no better than climatology. Historically there have been few observations of this region to help us characterise it. However, in the past decade or so the number of observations has increased markedly, including multiple middle atmosphere observing satellite missions. We plan to take advantage of this golden age of middle atmosphere observations and together with one of the world most sophisticated whole atmosphere models to quantify the variability and drivers of the mesosphere. The mesosphere influences, and is influenced by, in-situ and external effects such as atmospheric waves and tides (upward) and space weather effects (downward). The mesosphere is strongly coupled to the lower edge of the ionosphere, as well as the other atmospheric regions, so changes in one part can impact on others. In order to make progress in modelling the whole atmosphere as a coupled system we need to have a sound scientific understanding of the drivers of variability. For climate models we have a good level of predictability for ~2 weeks and one the ~decades scale. However, critically we cannot do this in the mesosphere yet. We aim to focus our efforts on understanding variability on the sub-seasonal to decadal variations in the mesosphere as a pathway to improving model predictions. We will use the highly instrumented region of Scandinavia, in conjunction with satellite data, to determine the variability of the mesosphere/lower ionosphere and its drivers over a sub seasonal to decadal scale. We will be among the first to use a new, ~#50 million, high-resolution instrument (EISCAT 3D). This will be the world's most sophisticated ionospheric radar which will allow unprecedented small scale measurements of variations in the middle atmosphere. In conjunction with special high-resolution whole atmosphere model simulations, we will determine the drivers and variability of this atmospheric region and provide a first step along the road of improving predictability of the mesosphere at sub-seasonal to decadal timescales.
- Period of Award:
- 3 Apr 2022 - 2 Apr 2026
- Value:
- £369,530 Split Award
Authorised funds only
- NERC Reference:
- NE/V01837X/1
- Grant Stage:
- Awaiting Event/Action
- Scheme:
- Large Grant
- Grant Status:
- Active
- Programme:
- Large Grant
This grant award has a total value of £369,530
FDAB - Financial Details (Award breakdown by headings)
| DI - Other Costs | Indirect - Indirect Costs | DA - Investigators | DI - Staff | DA - Estate Costs | DI - T&S | DA - Other Directly Allocated |
|---|---|---|---|---|---|---|
| £2,846 | £161,976 | £19,529 | £135,646 | £40,134 | £5,854 | £3,546 |
If you need further help, please read the user guide.