Project Summaries

Introduction

This page is a signpost for the variety of projects that CEMAC are working with.

There is an alternative form of the project summary  https://www.cemac.leeds.ac.uk/home/project-portfolio-briefing/

The discussion follows the topic areas of our work : Atmospheric Dynamics, Atmospheric Composition and Aerosols, Climate science and impacts. Several of the projects are specific to specific simulation models e.g. WRF, CESM, MetOffice Unified Model. Some of those are straightforward configurations of atmosphere only and others are configured to include aerosol and chemistry processes. Although the projects are dominated by atmospheric science (a pointer to our heritage and beginnings in ICAS) we are extending our services to work with other groups in SEE.

Project categories

•    Earth system models

Community Earth System Model CESM2 from NCAR will be installed on ARC4 for investigation of cometry dust on the chemistry of the exosphere descending towards stratosphere (project WACCM-X).
Unified Model (UKESM): CEMAC provided a flexible workflow within the UM configuration tools (rose, cylc with python) to allow a researcher to run more than 200 simulations with subtle “perturbations” to the standard configuration run. These help the scientist explore the sensitivity of the model to the variables used in the simulation.
High resolution atmospheric dynamics with WRF (IMPROVE,PEGASUS) will be discussed in a later section.

•    Atmospheric composition

Using WRF-Chem, for example DECAF https://www.cemac.leeds.ac.uk/decaf/

CESM2 for WACCM-X as mentioned in ESM.

UKESM (UM+UKCA+NEMO)

also at a localised inspection. Living lab, Leeds City Dashboard,

UNRESP, https://www.cemac.leeds.ac.uk/unresp/

FAZE-Indonesia

Simulation Uncertainity experiments

[paragraph about stats]

For example https://www.cemac.leeds.ac.uk/a-cure/

•    Data exploration

Some projects are quite capable of generating huge volumes of data but then request the help of CEMAC to prepare tools to inspect and explore the data for example:

AfriCAP+iFEED. Many scenarios of crop harvest outcomes have been simulated and this data is being made available for the scientist in those regions via an online web app.

African SWIFT there is broad spectrum of tasks such as: Now-casting , satellite data retrieval, manage output of simulation ensemble, mobile app development. CEMAC has had a hand in all those activities with a new aspect for using machine learning to predict high intensity weather events.

•    Climate impact on Agriculture

The GLAM Crop modelling tool has been developed over many years at Leeds and CEMAC are being consulted to provide suggestions for new workflows and enhancement of GLAM.

 

High resolution limited region simulations

•    MetOffice UM

For convection research e.g. GENESIS, VERTSTRUCT, TERRAMARIS; the unified model is run as “Nested mode” where the low resolution global simulation provides boundary conditions for higher resolution reegoins of limited extent, steppping done to (in some cases) 200 metres.
For Cloud research e.g MOCCHA, Arctic stratospheric cloud investigation, with the model to follow route of ship-based campaign

A combination of these detail science researchers can be investigated using MONC and there are several researchers (approx 10) actively looking at how well parameterization work as models become higher in resolution.

•    WRF and WRF-Chem
WCSSP-India IMPROVE: 300m grid boxes along western coast of India. investigating convection. CEMACs role was to provide configurations for the researcher.
WRF is being used in PEGASUS to simulate 200m grid boxes over several Peruvian glaciers – the weather will provide input to glacier model
DECAF [note about science here??]

 

Data Science

•    Data acquisition

for example ; retrieve satellite data; process output from atmospheric models, ; air quality sensor records

for example for the born in bradford project https://www.cemac.leeds.ac.uk/sensormon/

•    Data processing

For example conversion of data to “climate and forecast compliance” (CF-compliant); from “model inter-comparison programmes” (CMIP6, AerChemMIP: 450TB+)

•    Data presentation

R-Shiny, MatPlotLib, Pandas via web pages ; e.g. from Malawi farm production, AfriCAP iFEED crop simulations future scenario

Our work with Centre for Polar Observation and Modelling (CPOM)
(insert paragraph and link here.) CPOM home page  ; data is acquired from Satellite live streams and processed at CEDA JAMIN and then organised for scientific analysis.

Example Data Processing Projects

Working with COMET
COMET Volcano Database Project

https://www.cemac.leeds.ac.uk/comet-volcanodb/

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