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Dataset

 

Global Sensitivity Analysis of Tropospheric Ozone and OH: Budgets from three global chemistry-climate models

Update Frequency: Not Planned
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2020-04-24
Download Stats: last 12 months

Abstract

This dataset contains monthly mean global atmospheric distributions of ozone mixing ratio and methane chemical loss rate (the largest sink for atmospheric methane is the hydroxyl radical, OH) from 105 model runs with three independent global chemistry climate models. The models include the Frontier Research System for Global Change version of the University of California, Irvine Chemical Transport Model (FRSGC/UCI CTM), the Goddard Institute for Space Studies Global Climate Model (GISS GCM) and the Community Atmosphere Model with Chemistry (CAM-Chem). All three models performed the same simulations for a one-year period (broadly representative of 2001 meteorology) under standardised conditions (40 TgN/yr surface NOx emissions, 5 TgN/yr lightning emissions, 500 TgC/yr biogenic isoprene emissions, 1760 ppb tropospheric methane). An ensemble of 105 simulations was performed that included a control run (run 0), a set of runs that were used to build Gaussian Process emulators (runs 1-80), and additional runs that were used to evaluate the emulators (runs 81-104). A spin-up of six months was performed for each run, and monthly mean model results were archived for the following 12 months. The meteorological conditions used were the same in each simulation.

The data supports the exploration of the sensitivity of tropospheric ozone and the chemical lifetime of methane in the troposphere (a proxy for the hydroxyl radical, OH) to eight variables: (1) NOx emissions from all surface sources (range: 30-50 TgN/yr), (2) NO emissions from lightning (range: 2-8 TgN/yr), (3) biogenic isoprene emissions (range: 200-800 TgC/yr), (4) dry deposition rates of all deposited species (range: +/- 80%), (5) wet deposition rates of all soluble species (range: +/- 80%), (6) atmospheric humidity as used in the chemistry scheme only (range: +/- 50%), (7) cloud optical depth (range: factor of 10), and (8) turbulent mixing in the planetary boundary layer (range: factor of 100). The design of the ensemble runs used a Latin Hypercube method to sample this eight-dimensional parameter space to achieve optimal coverage with only 80 simulations. A separate design was used to select an additional 24 simulations to evaluate the emulators built from the standard 80 runs. The specifications for each simulation (total annual emission rate for surface NOx, biogenic isoprene and lightning NO, and the scaling factors applied to native model dry and wet deposition rates, humidity, cloud optical depth, and boundary layer diffusion coefficient) are provided with the dataset.

Citable as:  Wild, O.; Voulgarakis, A.; Lamarque, J.-F. (2020): Global Sensitivity Analysis of Tropospheric Ozone and OH: Budgets from three global chemistry-climate models. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/d5afa10e50b44229b079c7c5a036e660
Abbreviation: Not defined
Keywords: Tropospheric ozone burden, tropospheric methane lifetime, Gaussian process emulation, sensitivity analysis

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for an account to gain access.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Original global model results generated for the NERC project "Quantifying and Reducing Uncertainty in the Processes Controlling Tropospheric Ozone and OH". Selected variables provided in NetCDF format by model investigators and harmonized in CF-compliant NetCDF for submission to CEDA.

Data Quality:
The data were quality controlled by the data providers prior to being made available to CEDA. The data are well formed CF-compliant NetCDF.
File Format:
Data are netCDF formatted.

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Computation Element: 1

Title Frontier Research System for Global Change version of the University of California, Irvine Chemical Transport Model (FRSGC/UCI CTM) deployed on Lancaster University High-End Computing cluster.
Abstract Frontier Research System for Global Change version of the University of California, Irvine Chemical Transport Model (FRSGC/UCI CTM) as documented in Wild 2007.
Input Description None
Output Description None
Software Reference Wild, O., (2007). Modelling the global tropospheric ozone budget: exploring the variability in current models,. Atmos. Chem. Phys., 7,. 2643–2660

Computation Element: 2

Title Goddard Institute for Space Studies Global Climate Model (GISS GCM) deployed on NASA High-End Computing resources at Goddard Space Flight Center.
Abstract Goddard Institute for Space Studies Global Climate Model (GISS GCM) as documented in Shindell et al., 2013.
Input Description None
Output Description None
Software Reference Shindell, D. T., et al., (2013). Interactive ozone and methane chemistry in GISS-E2 historical and future climate simulations,. Atmos. Chem. Phys., 13,. 2653–2689

Computation Element: 3

Title Community Atmosphere Model with Chemistry (CAM-Chem) deployed on the Cheyenne supercomputer at the Computational and Information Systems Laboratory (CISL) at NCAR.
Abstract Community Atmosphere Model with Chemistry (CAM-Chem) as documented in Lamarque et al., 2012.
Input Description None
Output Description None
Software Reference Larmarque, K.-F., et al., (2012). CAM-chem: description and evaluation of interactive atmospheric chemistry in the Community Earth System Model,. Geosci. Model Dev., 5,. 369–411
  • long_name: Ensemble member
  • var_id: ens_number
  • units: 1
  • names: Ensemble member
  • units: kg
  • long_name: Mass of air in grid-cell
  • var_id: airmass
  • names: Mass of air in grid-cell
  • units: mole m-3 s-1
  • long_name: Methane Chemical Loss Rate
  • var_id: ch4_loss
  • standard_name: tendency_of_atmosphere_mole_concentration_of_methane_due_to_chemical_destruction
  • names: tendency_of_atmosphere_mole_concentration_of_methane_due_to_chemical_destruction, Methane Chemical Loss Rate
  • units: 1
  • standard_name: mole_fraction_of_ozone_in_air
  • long_name: Ozone Mixing Ratio
  • var_id: ozone
  • names: mole_fraction_of_ozone_in_air, Ozone Mixing Ratio
  • var_id: ps
  • standard_name: surface_air_pressure
  • units: Pa
  • long_name: Surface Pressure
  • names: surface_air_pressure, Surface Pressure
  • long_name: Temperature
  • standard_name: air_temperature
  • var_id: T
  • units: K
  • names: Temperature, air_temperature
  • long_name: grid-cell area
  • standard_name: cell_area
  • units: m2
  • var_id: area
  • names: cell_area, grid-cell area
  • long_name: hybrid sigma coordinate A coefficient for layer
  • units: 1
  • var_id: a
  • names: hybrid sigma coordinate A coefficient for layer
  • long_name: hybrid sigma coordinate B coefficient for layer
  • var_id: b
  • units: 1
  • names: hybrid sigma coordinate B coefficient for layer
  • standard_name: atmosphere_hybrid_sigma_pressure_coordinate
  • long_name: hybrid sigma pressure coordinate
  • units: 1
  • var_id: lev
  • names: atmosphere_hybrid_sigma_pressure_coordinate, hybrid sigma pressure coordinate
  • units: Pa
  • var_id: p0
  • long_name: reference pressure for hybrid sigma coordinate
  • names: reference pressure for hybrid sigma coordinate

Co-ordinate Variables

  • standard_name: latitude
  • var_id: lat
  • long_name: latitude
  • units: degrees_north
  • names: latitude
  • var_id: lon
  • units: degrees_east
  • standard_name: longitude
  • long_name: longitude
  • names: longitude
  • long_name: time
  • standard_name: time
  • var_id: time
  • names: time
Coverage
Temporal Range
Start time:
2001-01-01T00:00:00
End time:
2001-12-31T00:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°