How well do different tracers constrain the firn diffusivity profile?

Firn air transport models are used to interpret measurements of the composition of air in firn and bubbles trapped in ice in order to reconstruct past atmospheric composition. The diffusivity profile in the firn is usually calibrated by comparing modelled and measured concentrations for tracers with...

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Main Authors: Trudinger, C. M., Enting, I. G., Rayner, P. J., Etheridge, D. M., Buizert, C., Rubino, M., Krummel, P. B., Blunier, T.
Format: Article in Journal/Newspaper
Language:English
unknown
Published: Copernicus Publications on behalf of the European Geosciences Union
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Online Access:https://ir.library.oregonstate.edu/concern/articles/rv042v47f
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spelling ftoregonstate:ir.library.oregonstate.edu:rv042v47f 2024-09-15T17:41:50+00:00 How well do different tracers constrain the firn diffusivity profile? Trudinger, C. M. Enting, I. G. Rayner, P. J. Etheridge, D. M. Buizert, C. Rubino, M. Krummel, P. B. Blunier, T. https://ir.library.oregonstate.edu/concern/articles/rv042v47f English [eng] eng unknown Copernicus Publications on behalf of the European Geosciences Union https://ir.library.oregonstate.edu/concern/articles/rv042v47f Copyright Not Evaluated Article ftoregonstate 2024-07-22T18:06:05Z Firn air transport models are used to interpret measurements of the composition of air in firn and bubbles trapped in ice in order to reconstruct past atmospheric composition. The diffusivity profile in the firn is usually calibrated by comparing modelled and measured concentrations for tracers with known atmospheric history. However, in most cases this is an under-determined inverse problem, often with multiple solutions giving an adequate fit to the data (this is known as equifinality). Here we describe a method to estimate the firn diffusivity profile that allows multiple solutions to be identified, in order to quantify the uncertainty in diffusivity due to equifinality. We then look at how well different combinations of tracers constrain the firn diffusivity profile. Tracers with rapid atmospheric variations like CH₃CCl₃, HFCs and ¹⁴CO₂ are most useful for constraining molecular diffusivity, while δ¹⁵N₂ is useful for constraining parameters related to convective mixing near the surface. When errors in the observations are small and Gaussian, three carefully selected tracers are able to constrain the molecular diffusivity profile well with minimal equifinality. However, with realistic data errors or additional processes to constrain, there is benefit to including as many tracers as possible to reduce the uncertainties. We calculate CO₂ age distributions and their spectral widths with uncertainties for five firn sites (NEEM, DE08-2, DSSW20K, South Pole 1995 and South Pole 2001) with quite different characteristics and tracers available for calibration. We recommend moving away from the use of a firn model with one calibrated parameter set to infer atmospheric histories, and instead suggest using multiple parameter sets, preferably with multiple representations of uncertain processes, to assist in quantification of the uncertainties. This is the publisher’s final pdf. The published article is copyrighted by Copernicus Publications and can be found at: http://publications.copernicus.org/. Keywords: Antarctic ... Article in Journal/Newspaper Antarc* Antarctic South pole South pole ScholarsArchive@OSU (Oregon State University)
institution Open Polar
collection ScholarsArchive@OSU (Oregon State University)
op_collection_id ftoregonstate
language English
unknown
description Firn air transport models are used to interpret measurements of the composition of air in firn and bubbles trapped in ice in order to reconstruct past atmospheric composition. The diffusivity profile in the firn is usually calibrated by comparing modelled and measured concentrations for tracers with known atmospheric history. However, in most cases this is an under-determined inverse problem, often with multiple solutions giving an adequate fit to the data (this is known as equifinality). Here we describe a method to estimate the firn diffusivity profile that allows multiple solutions to be identified, in order to quantify the uncertainty in diffusivity due to equifinality. We then look at how well different combinations of tracers constrain the firn diffusivity profile. Tracers with rapid atmospheric variations like CH₃CCl₃, HFCs and ¹⁴CO₂ are most useful for constraining molecular diffusivity, while δ¹⁵N₂ is useful for constraining parameters related to convective mixing near the surface. When errors in the observations are small and Gaussian, three carefully selected tracers are able to constrain the molecular diffusivity profile well with minimal equifinality. However, with realistic data errors or additional processes to constrain, there is benefit to including as many tracers as possible to reduce the uncertainties. We calculate CO₂ age distributions and their spectral widths with uncertainties for five firn sites (NEEM, DE08-2, DSSW20K, South Pole 1995 and South Pole 2001) with quite different characteristics and tracers available for calibration. We recommend moving away from the use of a firn model with one calibrated parameter set to infer atmospheric histories, and instead suggest using multiple parameter sets, preferably with multiple representations of uncertain processes, to assist in quantification of the uncertainties. This is the publisher’s final pdf. The published article is copyrighted by Copernicus Publications and can be found at: http://publications.copernicus.org/. Keywords: Antarctic ...
format Article in Journal/Newspaper
author Trudinger, C. M.
Enting, I. G.
Rayner, P. J.
Etheridge, D. M.
Buizert, C.
Rubino, M.
Krummel, P. B.
Blunier, T.
spellingShingle Trudinger, C. M.
Enting, I. G.
Rayner, P. J.
Etheridge, D. M.
Buizert, C.
Rubino, M.
Krummel, P. B.
Blunier, T.
How well do different tracers constrain the firn diffusivity profile?
author_facet Trudinger, C. M.
Enting, I. G.
Rayner, P. J.
Etheridge, D. M.
Buizert, C.
Rubino, M.
Krummel, P. B.
Blunier, T.
author_sort Trudinger, C. M.
title How well do different tracers constrain the firn diffusivity profile?
title_short How well do different tracers constrain the firn diffusivity profile?
title_full How well do different tracers constrain the firn diffusivity profile?
title_fullStr How well do different tracers constrain the firn diffusivity profile?
title_full_unstemmed How well do different tracers constrain the firn diffusivity profile?
title_sort how well do different tracers constrain the firn diffusivity profile?
publisher Copernicus Publications on behalf of the European Geosciences Union
url https://ir.library.oregonstate.edu/concern/articles/rv042v47f
genre Antarc*
Antarctic
South pole
South pole
genre_facet Antarc*
Antarctic
South pole
South pole
op_relation https://ir.library.oregonstate.edu/concern/articles/rv042v47f
op_rights Copyright Not Evaluated
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