Quantifying and Reducing Uncertainty in the Processes Controlling Tropospheric Ozone and OH

Project: Research

Description

This project will provide fresh scientific insight into the chemical and dynamical processes governing tropospheric OH and the related gases ozone and methane. It involves the development and application of new statistical approaches and uncertainty analysis to confront global chemistry-climate models with rigorous observational constraints. This will allow us to quantify the importance of different processes, explain the diversity in model assessments of past and future atmospheric composition change, and attribute observed changes to specific drivers.

Acronym	Quantifying and Reducing Uncertainty in the Processes Controlli
Status	Finished
Effective start/end date	1/01/16 → 17/04/19

Funding

NERC: £353,536.00

Wild, Oliver (Principal Investigator)
Beven, Keith (Co-Investigator)
Young, Paul (Co-Investigator)
Ryan, Edmund (Research Associate)

Activities

IGAC Conference 2016
Activity: Participating in or organising an event types › Participation in conference -Mixed Audience
Invited Seminar at GFDL, Princeton
Activity: Talk or presentation types › Invited talk

Research outputs

Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends
Research output: Contribution to Journal/Magazine › Review article › peer-review
Fast sensitivity analysis methods for computationally expensive models with multi-dimensional output
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Mitigation of PM2.5 and ozone pollution in Delhi: A sensitivity study during the pre-monsoon period
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Global sensitivity analysis of chemistry-climate model budgets of tropospheric ozone and OH: Exploring model diversity
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide
Research output: Contribution to Journal/Magazine › Journal article › peer-review

Research