Multi-species inversion of CH&amp;lt;sub&amp;gt;4&amp;lt;/sub&amp;gt;, CO and H&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; emissions from surface measurements

Pison, Isabelle; Bousquet, P.; Chevallier, F.; Szopa, Sophie; Hauglustaine, Didier

doi:10.5194/acp-9-5281-2009

Cited by 117 publications

(161 citation statements)

References 61 publications

Supporting

Mentioning

147

Contrasting

Unclassified

Order By: Relevance

“…Its concentration is estimated in the model in an indirect way: using methyl chloroform (CH 3 CCl 3 or MCF) which reacts only with OH and the sources of which are quantified with acceptable accuracy (Krol et al, 2003;Prinn et al, 2005;Bousquet et al, 2005). The adequacy of SACS with the chemistry model INCA (Interactive Chemistry and Aerosols) (Folberth et al, 2005) is evaluated in Pison et al (2009). These authors show that the differences between the two chemistry models are significantly smaller than the variability of the concentration fields of the species of interest.…”

Section: General Settings Of Pyvar/lmdz-sacsmentioning

confidence: 99%

“…We use a framework which combines three components: the inversion system PYVAR developed by Chevallier et al (2005), the transport model LMDz (Hourdin and Talagrand, 2006) and a simplified chemistry module called SACS (Simplified Atmospheric Chemistry System) (Pison et al, 2009). Briefly, LMDz is used with nineteen hybrid-pressure levels in the vertical (first level thickness of 150 m, resolution in the boundary layer of 300 to 500 m and ≈2 km at the tropopause) and a horizontal resolution of 3.75 • ×2.5 • (longitude-latitude).…”

Section: General Settings Of Pyvar/lmdz-sacsmentioning

confidence: 99%

“…Atmospheric inversions have already been developed to study H 2 , but the studies remain sparse: Xiao et al (2007) have used a 2D latitude-vertical 12 box model for atmospheric chemistry in an inversion framework combined with AGAGE, NOAA and CSIRO measurements to estimate the magnitude and variability of H 2 sources and sinks for four semi-hemispheres over the 1993-2004 period. Pison et al (2009) presented a first inversion of H 2 using the same simplified chemistry scheme and model as in this study. More recently, Bousquet et al (2011) have provided an analysis of global-tosub-continental details in the H 2 budget before 2005 based on an optimisation system at sub-continental scale and using discrete observations from the flask networks of NOAA and CSIRO.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A new estimation of the recent tropospheric molecular hydrogen budget using atmospheric observations and variational inversion

et al. 2011

Self Cite

View full text Add to dashboard Cite

Abstract. This paper presents an analysis of the recent tropospheric molecular hydrogen (H 2 ) budget with a particular focus on soil uptake and European surface emissions. A variational inversion scheme is combined with observations from the RAMCES and EUROHYDROS atmospheric networks, which include continuous measurements performed between mid-2006 and mid-2009. Net H 2 surface flux, then deposition velocity and surface emissions and finally, deposition velocity, biomass burning, anthropogenic and N 2 fixationrelated emissions were simultaneously inverted in several scenarios. These scenarios have focused on the sensibility of the soil uptake value to different spatio-temporal distributions. The range of variations of these diverse inversion setsCorrespondence to: C. E. Yver

show abstract

Section: General Settings Of Pyvar/lmdz-sacsmentioning

confidence: 99%

Section: General Settings Of Pyvar/lmdz-sacsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A new estimation of the recent tropospheric molecular hydrogen budget using atmospheric observations and variational inversion

et al. 2011

Self Cite

View full text Add to dashboard Cite

show abstract

“…H is the observation operator that projects the state vector x into the observation space. H is represented here by the offline version of LMDz complemented by a simplified chemistry module (SACS) to represent the main reactions of the oxidation chain of methane (Pison et al, 2009). Here, OH and O( 1 D) fields are prescribed.…”

Section: Pyvar-lmdz-sacsmentioning

confidence: 99%

“…The PYVAR-LMDz-SACS (PYthon VARiationalLaboratoire de Météorologie Dynamique model with Zooming capability-Simplified Atmospheric Chemistry System) system (Chevallier et al, 2005;Pison et al, 2009) is based on a variational data assimilation system to derive the optimal state of CH 4 fluxes given CH 4 observations and a background estimate of CH 4 fluxes. Variational data assimilation involves minimizing a cost function J , which is a measure of both the discrepancies between measurements and simulated mixing ratios and between the background fluxes and the estimated fluxes, weighted by their respective uncertainties, expressed in the covariance matrices R (observations) and B (prior fluxes), defined as follows:…”

Section: Pyvar-lmdz-sacsmentioning

confidence: 99%

Sensitivity of the recent methane budget to LMDz sub-grid-scale physical parameterizations

Locatelli¹,

Bousquet²,

Saunois³

et al. 2015

Atmos. Chem. Phys.

Self Cite

View full text Add to dashboard Cite

Abstract. With the densification of surface observing networks and the development of remote sensing of greenhouse gases from space, estimations of methane (CH 4 ) sources and sinks by inverse modeling are gaining additional constraining data but facing new challenges. The chemical transport model (CTM) linking the flux space to methane mixing ratio space must be able to represent these different types of atmospheric constraints for providing consistent flux estimations.Here we quantify the impact of sub-grid-scale physical parameterization errors on the global methane budget inferred by inverse modeling. We use the same inversion setup but different physical parameterizations within one CTM. Two different schemes for vertical diffusion, two others for deep convection, and one additional for thermals in the planetary boundary layer (PBL) are tested. Different atmospheric methane data sets are used as constraints (surface observations or satellite retrievals).At the global scale, methane emissions differ, on average, from 4.1 Tg CH 4 per year due to the use of different sub-grid-scale parameterizations. Inversions using satellite total-column mixing ratios retrieved by GOSAT are less impacted, at the global scale, by errors in physical parameterizations. Focusing on large-scale atmospheric transport, we show that inversions using the deep convection scheme of Emanuel (1991) derive smaller interhemispheric gradients in methane emissions, indicating a slower interhemispheric exchange. At regional scale, the use of different sub-grid-scale parameterizations induces uncertainties ranging from 1.2 % (2.7 %) to 9.4 % (14.2 %) of methane emissions when using only surface measurements from a background (or an extended) surface network. Moreover, spatial distribution of methane emissions at regional scale can be very different, depending on both the physical parameterizations used for the modeling of the atmospheric transport and the observation data sets used to constrain the inverse system. When using only satellite data from GOSAT, we show that the small biases found in inversions using a coarser version of the transport model are actually masking a poor representation of the stratosphere-troposphere methane gradient in the model. Improving the stratosphere-troposphere gradient reveals a larger bias in GOSAT CH 4 satellite data, which largely amplifies inconsistencies between the surface and satellite inversions. A simple bias correction is proposed. The results of this work provide the level of confidence one can have for recent methane inversions relative to physical parameterizations included in CTMs.

show abstract

Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area

Poulter

Cadule

Cheiney

et al. 2015

Global Biogeochemical Cycles

View full text Add to dashboard Cite

Fire plays an important role in terrestrial ecosystems by regulating biogeochemistry, biogeography, and energy budgets, yet despite the importance of fire as an integral ecosystem process, significant advances remain to improve its prognostic representation in carbon cycle models. To recommend and to help prioritize model improvements, this study investigates the sensitivity of a coupled global biogeography and biogeochemistry model, LPJ, to observed burned area measured by three independent satellite-derived products, GFED v3.1, L3JRC, and GlobCarbon. Model variables are compared with benchmarks that include pantropical aboveground biomass, global tree cover, and CO 2 and CO trace gas concentrations. Depending on prescribed burned area product, global aboveground carbon stocks varied by 300 Pg C, and woody cover ranged from 50 to 73 Mkm 2 . Tree cover and biomass were both reduced linearly with increasing burned area, i.e., at regional scales, a 10% reduction in tree cover per 1000 km 2 , and 0.04-to-0.40 Mg C reduction per 1000 km 2 . In boreal regions, satellite burned area improved simulated tree cover and biomass distributions, but in savanna regions, model-data correlations decreased. Global net biome production was relatively insensitive to burned area, and the long-term land carbon sink was robust,~2.5 Pg C yr À1, suggesting that feedbacks from ecosystem respiration compensated for reductions in fuel consumption via fire. CO 2 transport provided further evidence that heterotrophic respiration compensated any emission reductions in the absence of fire, with minor differences in modeled CO 2 fluxes among burned area products. CO was a more sensitive indicator for evaluating fire emissions, with MODIS-GFED burned area producing CO concentrations largely in agreement with independent observations in high latitudes. This study illustrates how ensembles of burned area data sets can be used to diagnose model structures and parameters for further improvement and also highlights the importance in considering uncertainties and variability in observed burned area data products for model applications.

show abstract

Multi-species inversion of CH<sub>4</sub>, CO and H<sub>2</sub> emissions from surface measurements

Cited by 117 publications

References 61 publications

A new estimation of the recent tropospheric molecular hydrogen budget using atmospheric observations and variational inversion

A new estimation of the recent tropospheric molecular hydrogen budget using atmospheric observations and variational inversion

Sensitivity of the recent methane budget to LMDz sub-grid-scale physical parameterizations

Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area

Contact Info

Product

Resources

About