Overview of DCMEX project, progress made towards goals, and measurements of primary ice particles

Alan Blyth, Declan L. Finney, DCMEX team, Martin Gallagher, Keith Bower, Huihui Wu, Hugh Coe, Nicholas Marsden, Kezhen Hu, Thomas Choularton, Paul Connolly, Jonathan Crosier, et al.

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

The Deep Convective Microphysics EXperiment (DCMEX) was held in and around the convective clouds that formed and grew steadily over the Magdalena Mountains near Socorro, New Mexico during July and August, 2022. The overall goal of DCMEX is to reduce the uncertainty in cloud feedbacks associated with deep convection by improving the representation of microphysical processes in the UM/CASIM model. It is part of the NERC CloudSense programme that aims to reduce the uncertainty in climate sensitivity due to clouds. The aim of the field campaign was to make observations of the aerosols, ice nucleating particles (INPs), and the microphysics and dynamics of the clouds in order to both make new discoveries and to provide novel measurements to improve models. Measurements were made with the FAAM aircraft, ground-based aerosol instruments, radars and routinely with the NEXRAD radars and GOES-17 satellite instruments. In this talk, we will present an overview of the project and of the progress that has been made so far towards the overall goals, such as a new representation of INP in CASIM based on the observations and good measurements of the ice concentrations at several temperatures and stages of development. We will also present results on the observations of primary ice in the context of the measured INPs
Original languageEnglish
Title of host publicationEGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15019,
DOIs
Publication statusPublished - 14 Apr 2024

Fingerprint

Dive into the research topics of 'Overview of DCMEX project, progress made towards goals, and measurements of primary ice particles'. Together they form a unique fingerprint.

Cite this