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Reconciling the Carbon Balance of Northern Sweden Through Integration of Observations and Modelling

Sathyanadh, Anusha LU ; Monteil, Guillaume LU orcid ; Scholze, Marko LU ; Klosterhalfen, Anne ; Laudon, Hjalmar ; Wu, Zhendong LU ; Gerbig, Christoph ; Peters, Wouter ; Bastrikov, Vladislav and Nilsson, Mats B. , et al. (2021) In Journal of Geophysical Research: Atmospheres 126(23).
Abstract

The boreal biome plays an important role in the global carbon cycle. However, current estimates of its sink-source strength and responses to changes in climate are primarily derived from models and thus remain uncertain. A major challenge is the validation of these models at a regional scale since empirical flux estimates are typically confined to ecosystem or continental scales. The Integrated Carbon Observation System (ICOS)-Svartberget atmospheric station (SVB) provides observations including tall tower eddy covariance (EC) and atmospheric concentration measurements that can contribute to such validation in Northern Sweden. Thus, the overall aim of this study was to quantify the carbon balance in Northern Sweden region by integrating... (More)

The boreal biome plays an important role in the global carbon cycle. However, current estimates of its sink-source strength and responses to changes in climate are primarily derived from models and thus remain uncertain. A major challenge is the validation of these models at a regional scale since empirical flux estimates are typically confined to ecosystem or continental scales. The Integrated Carbon Observation System (ICOS)-Svartberget atmospheric station (SVB) provides observations including tall tower eddy covariance (EC) and atmospheric concentration measurements that can contribute to such validation in Northern Sweden. Thus, the overall aim of this study was to quantify the carbon balance in Northern Sweden region by integrating land-atmosphere fluxes and atmospheric carbon dioxide (CO2) concentrations. There were three specific objectives. First, to compare flux estimates from four models (VPRM, LPJ-GUESS, ORCHIDEE, and SiBCASA) to tall tower EC measurements at SVB during the years 2016–2018. Second to assess the fluxes' impact on atmospheric CO2 concentrations using a regional transport model. Third, to assess the impact of the drought in 2018. The comparison of estimated concentrations with ICOS observations helped the evaluation of the models' regional scale performance. Both the simulations and observations indicate there were similar reductions in the net CO2 uptake during drought. All the models (except for SiBCASA) and observations indicated the region was a net carbon sink during the 3-year study period. Our study highlights a need to improve vegetation models through comparisons with empirical data and demonstrate the ICOS network's potential utility for constraining CO2 fluxes in the region.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
atmospheric transport model, boreal biome, FLEXPART, net ecosystem exchange, tall tower eddy covariance, vegetation model
in
Journal of Geophysical Research: Atmospheres
volume
126
issue
23
article number
e2021JD035185
publisher
Wiley-Blackwell
external identifiers
  • scopus:85120818417
ISSN
2169-897X
DOI
10.1029/2021JD035185
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2021. The Authors.
id
c68cecfa-c671-48ce-a7e8-ae31b8e43f46
date added to LUP
2022-01-11 18:21:10
date last changed
2022-04-27 07:06:18
@article{c68cecfa-c671-48ce-a7e8-ae31b8e43f46,
  abstract     = {{<p>The boreal biome plays an important role in the global carbon cycle. However, current estimates of its sink-source strength and responses to changes in climate are primarily derived from models and thus remain uncertain. A major challenge is the validation of these models at a regional scale since empirical flux estimates are typically confined to ecosystem or continental scales. The Integrated Carbon Observation System (ICOS)-Svartberget atmospheric station (SVB) provides observations including tall tower eddy covariance (EC) and atmospheric concentration measurements that can contribute to such validation in Northern Sweden. Thus, the overall aim of this study was to quantify the carbon balance in Northern Sweden region by integrating land-atmosphere fluxes and atmospheric carbon dioxide (CO<sub>2</sub>) concentrations. There were three specific objectives. First, to compare flux estimates from four models (VPRM, LPJ-GUESS, ORCHIDEE, and SiBCASA) to tall tower EC measurements at SVB during the years 2016–2018. Second to assess the fluxes' impact on atmospheric CO<sub>2</sub> concentrations using a regional transport model. Third, to assess the impact of the drought in 2018. The comparison of estimated concentrations with ICOS observations helped the evaluation of the models' regional scale performance. Both the simulations and observations indicate there were similar reductions in the net CO<sub>2</sub> uptake during drought. All the models (except for SiBCASA) and observations indicated the region was a net carbon sink during the 3-year study period. Our study highlights a need to improve vegetation models through comparisons with empirical data and demonstrate the ICOS network's potential utility for constraining CO<sub>2</sub> fluxes in the region.</p>}},
  author       = {{Sathyanadh, Anusha and Monteil, Guillaume and Scholze, Marko and Klosterhalfen, Anne and Laudon, Hjalmar and Wu, Zhendong and Gerbig, Christoph and Peters, Wouter and Bastrikov, Vladislav and Nilsson, Mats B. and Peichl, Matthias}},
  issn         = {{2169-897X}},
  keywords     = {{atmospheric transport model; boreal biome; FLEXPART; net ecosystem exchange; tall tower eddy covariance; vegetation model}},
  language     = {{eng}},
  month        = {{12}},
  number       = {{23}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Journal of Geophysical Research: Atmospheres}},
  title        = {{Reconciling the Carbon Balance of Northern Sweden Through Integration of Observations and Modelling}},
  url          = {{http://dx.doi.org/10.1029/2021JD035185}},
  doi          = {{10.1029/2021JD035185}},
  volume       = {{126}},
  year         = {{2021}},
}