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| Funder | Natural Environment Research Council |
|---|---|
| Recipient Organization | University of Leeds |
| Country | United Kingdom |
| Start Date | Nov 01, 2022 |
| End Date | Oct 31, 2023 |
| Duration | 364 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | UKRI Gateway to Research |
| Grant ID | NE/X013081/1 |
A small fraction of atmospheric aerosol particles that nucleate ice in clouds have a disproportionate effect on climate. Quantification of these ice-nucleating particles is key to reducing climate uncertainties associated with clouds around the globe, from deep convection in the tropics to boundary layer clouds in the oceanic mid- to high-latitudes.
However, the atmospheric concentration, sources, sinks, transport and activity of ice-nucleating particles are all poorly defined. A major limitation is the lack of instrumentation capable of measuring ice-nucleating particles. We have previously developed a prototype microfluidic platform for quantifying atmospheric ice-nucleating particles in Murray's European Research Council fellowship, but it's throughput and automation are limited by both instrumental and data processing challenges.
Here we propose to take LOC-NIPI far beyond what was envisaged in Murray's ERC grant and to vastly improve it utility for the quantification of atmospheric ice-nucleating particles.
In FluidIce we will replace the data-hungry (and limiting) high speed camera with a much simpler LED-Photodiode detector coupled with our new frozen-unfrozen droplet sorting device. This relatively modest investment will allow us to greatly speed up sample throughput and therefore add a great deal of value to other projects, such as M-Phase (a NERC grant focused on the cloud-phase feedback as part of the CloudSense programme) and WesCon (a Met Office funded aircraft project looking at high-impact convection in the UK).
The legacy of FluidIce will make the routine quantification of ice-nucleating particles concentrations down to ~-35 C possible in future field and laboratory projects. FluidIce also moves the LOC-NIPI towards our longer term goal of a fully automated instrument capable of continuous monitoring of ice-nucleating particle spectra, from sampling through to freezing analysis.
University of Leeds
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