A global model for the uptake of atmospheric hydrogen by soils
Identifieur interne : 001412 ( PascalFrancis/Checkpoint ); précédent : 001411; suivant : 001413A global model for the uptake of atmospheric hydrogen by soils
Auteurs : C. Morfopoulos [Royaume-Uni] ; P. N. Foster [Royaume-Uni] ; P. Friedlingstein [Royaume-Uni] ; P. Bousquet [France] ; I. C. Prentice [Royaume-Uni, Australie]Source :
- Global biogeochemical cycles [ 0886-6236 ] ; 2012.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Hydrogène, Consommation.
English descriptors
- KwdEn :
Abstract
[1] A simple process-based model for the consumption of atmospheric hydrogen (H2) has been developed. The model includes a description of diffusion and biological processes which together control H2 flux into the soil. The model was incorporated into the LPJ-WHyMe Dynamic Global Vegetation Model, and used to simulate H2 fluxes over the 1988-2006 period. The model results have been confronted with field and laboratory measurements. The model reproduces observed seasonal cycles of H2 uptake at different sites and shows a realistic sensitivity to changes in soil temperature and soil water content in comparisons with field and laboratory measurements. A recent study, based on 3D atmospheric model inversion, found an increase of the global H2 sink from soils, with a trend of -0.77 Tg a-2 for the 1992-2004 period (fluxes are negative as soils act as a sink for atmospheric H2). For the same period, however, our process-based model calculates a trend of only -0.04 Tg a-2. Even when forced with drastic changes in soil water content, soil temperature and snow cover depth, our model is unable to reproduce the trend found in the inversion-based study, questioning the realism of such a large trend.
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Pascal:12-0426403Le document en format XML
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<term>description</term>
<term>diffusion</term>
<term>dynamics</term>
<term>global</term>
<term>hydrogen</term>
<term>inverse problem</term>
<term>models</term>
<term>soils</term>
<term>temperature</term>
<term>vegetation</term>
<term>water content</term>
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<front><div type="abstract" xml:lang="en">[1] A simple process-based model for the consumption of atmospheric hydrogen (H<sub>2</sub>
) has been developed. The model includes a description of diffusion and biological processes which together control H<sub>2</sub>
flux into the soil. The model was incorporated into the LPJ-WHyMe Dynamic Global Vegetation Model, and used to simulate H<sub>2</sub>
fluxes over the 1988-2006 period. The model results have been confronted with field and laboratory measurements. The model reproduces observed seasonal cycles of H<sub>2</sub>
uptake at different sites and shows a realistic sensitivity to changes in soil temperature and soil water content in comparisons with field and laboratory measurements. A recent study, based on 3D atmospheric model inversion, found an increase of the global H<sub>2</sub>
sink from soils, with a trend of -0.77 Tg a<sup>-2 </sup>
for the 1992-2004 period (fluxes are negative as soils act as a sink for atmospheric H<sub>2</sub>
). For the same period, however, our process-based model calculates a trend of only -0.04 Tg a<sup>-2</sup>
. Even when forced with drastic changes in soil water content, soil temperature and snow cover depth, our model is unable to reproduce the trend found in the inversion-based study, questioning the realism of such a large trend.</div>
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flux into the soil. The model was incorporated into the LPJ-WHyMe Dynamic Global Vegetation Model, and used to simulate H<sub>2</sub>
fluxes over the 1988-2006 period. The model results have been confronted with field and laboratory measurements. The model reproduces observed seasonal cycles of H<sub>2</sub>
uptake at different sites and shows a realistic sensitivity to changes in soil temperature and soil water content in comparisons with field and laboratory measurements. A recent study, based on 3D atmospheric model inversion, found an increase of the global H<sub>2</sub>
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for the 1992-2004 period (fluxes are negative as soils act as a sink for atmospheric H<sub>2</sub>
). For the same period, however, our process-based model calculates a trend of only -0.04 Tg a<sup>-2</sup>
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