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Dataset

 

Assessing sources of uncertainty in formaldehyde air mass factors over tropical South America: Implications for top-down isoprene emission estimates: High-Resolution Chemistry Model Simulations and Analysis

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2015-12-10
Download Stats: last 12 months

Abstract

The Quantifying the Amazon Isoprene Budget: Reconciling Top-down versus Bottom-up Emission Estimates project produced a unique high resolution model (GEOS-Chem version v8-03-01 - with modifications) for the Amazon, which simulated isoprene emissions and atmospheric chemistry.

A nested-grid version of the GEOS-Chem chemistry transport model, constrained by isoprene emissions from the Model of Emissions of Gases and Aerosols from Nature (MEGAN), and the Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS) bottom-up inventories, was used to evaluate the impact that surface isoprene emissions have on formaldehyde (HCHO) air-mass factors (AMFs) and vertical column densities (VCDs) over tropical South America during 2006, as observed by the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI).

Results of this project are presented in the following publication:

Barkley, M. P., T. P. Kurosu, K. Chance, I. De Smedt, M. Van Roozendael, A. Arneth, D. Hagberg,
and A. Guenther: Assessing sources of uncertainty in formaldehyde air mass factors over tropical
South America: Implications for top-down isoprene emission estimates, J. Geophys. Res.,
117, D13304, doi:10.1029/2011JD016827. 2012

and model outputs associated to this project are archived at CEDA.

This was a NERC funded project.

Citable as:  Barkley, M. (2015): Assessing sources of uncertainty in formaldehyde air mass factors over tropical South America: Implications for top-down isoprene emission estimates: High-Resolution Chemistry Model Simulations and Analysis. NCAS British Atmospheric Data Centre, date of citation. https://catalogue.ceda.ac.uk/uuid/568b6c1213d64610b97d46c6f6a80402
Abbreviation: rm2010-amazon-isoprene-2012
Keywords: amazon, isoprene, HCHO, AMF, GEOS-Chem, NERC

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:

Data provided as is by M. Barkley in March 2015.

File Format:
Typically GEOS-Chem binary-punch outputs *.bpch. Other files are straight binary ending in *.bin. Some files are also compressed (.gz)

Process overview

This dataset was generated by the computation detailed below.
Title Quantifying the Amazon Isoprene Budget: GEOS-Chem Chemistry Transport Model
Abstract GEOS-Chem Chemistry Transport Model. The nest-grid has a horizontal resolution of 0.667° × 0.5° (longitude × latitude), and 47 vertical levels extending from the surface to 0.01 hPa. The model is driven using GEOS-5 meteorology, which is updated every 3–6 hours. Tracer mixing ratios from an off-line global 4° × 5° simulation provide 3-hourly boundary conditions to the grid-edges. Based on a previous model evaluation [Barkley et al., 2011], we use an updated chemical mechanism to simulate O3-NOx-VOC-aerosol photochemistry.
Input Description None
Output Description None
Software Reference None
  • long_name: Isoprene
  • names: Isoprene

Co-ordinate Variables

Coverage
Temporal Range
Start time:
2006-01-01T00:00:00
End time:
2006-12-31T00:00:00
Geographic Extent

 
14.0000°
 
-85.0000°
 
-30.0000°
 
-25.0000°