Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite data

Håkan Torbern Tagesson; Mikhail Mastepanov; Meelis Mölder; Mikkel P. Tamstorf; Lars Eklundh; Benjamin Smith; Charlotte Sigsgaard; Magnus Lund; Anna Ekberg; Julie M. Falk; Thomas Friborg; Torben R. Christensen; Lena Ström

doi:10.3402/tellusb.v65i0.19722

Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite data

Håkan Torbern Tagesson, Mikhail Mastepanov, Meelis Mölder, Mikkel P. Tamstorf, Lars Eklundh, Benjamin Smith, Charlotte Sigsgaard, Magnus Lund, Anna Ekberg, Julie M. Falk, Thomas Friborg, Torben R. Christensen, Lena Ström

Geography

17 Citations (Scopus)

Abstract

Methane (CH₄) fluxes 1997-2010 were studied by combining remotely sensed normalised difference water index (NDWI) with in situ CH₄ fluxes from Rylekærene, a high-Arctic wet tundra ecosystem in the Zackenberg valley, north-eastern Greenland. In situ CH₄ fluxes were measured using the closed-chamber technique. Regression models between in situ CH₄ fluxes and environmental variables [soil temperature (Tsoil), water table depth (WtD) and active layer (AL) thickness] were established for different temporal and spatial scales. The relationship between in situ WtD and remotely sensed NDWI was also studied. The regression models were combined and evaluated against in situ CH₄ fluxes. The models including NDWI as the input data performed on average slightly better [root mean square error (RMSE) = 1.56] than the models without NDWI (RMSE = 1.67), and they were better in reproducing CH₄ flux variability. The CH₄ flux model that performed the best included exponential relationships against temporal variation in Tsoil and AL, an exponential relationship against spatial variation in WtD and a linear relationship between WtD and remotely sensed NDWI (RMSE = 1.50). There were no trends in modelled CH₄ flux budgets between 1997 and 2010. Hence, during this period there were no trends in the soil temperature at 10 cm depth and NDWI.

Original language	English
Article number	19722
Journal	Tellus B: Chemical and Physical Meteorology
Volume	65
Number of pages	21
ISSN	0280-6509
DOIs	https://doi.org/10.3402/tellusb.v65i0.19722
Publication status	Published - 2013

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Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite dataFinal published version, 2.91 MB
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Tagesson, H. T., Mastepanov, M., Mölder, M., Tamstorf, M. P., Eklundh, L., Smith, B., Sigsgaard, C., Lund, M., Ekberg, A., Falk, J. M., Friborg, T., Christensen, T. R., & Ström, L. (2013). Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite data. Tellus B: Chemical and Physical Meteorology, 65, Article 19722. https://doi.org/10.3402/tellusb.v65i0.19722

Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite data. / Tagesson, Håkan Torbern; Mastepanov, Mikhail; Mölder, Meelis et al.
In: Tellus B: Chemical and Physical Meteorology, Vol. 65, 19722, 2013.

Research output: Contribution to journal › Journal article › Research › peer-review

Tagesson, HT, Mastepanov, M, Mölder, M, Tamstorf, MP, Eklundh, L, Smith, B, Sigsgaard, C, Lund, M, Ekberg, A, Falk, JM, Friborg, T, Christensen, TR & Ström, L 2013, 'Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite data', Tellus B: Chemical and Physical Meteorology, vol. 65, 19722. https://doi.org/10.3402/tellusb.v65i0.19722

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title = "Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite data",

abstract = "Methane (CH4) fluxes 1997-2010 were studied by combining remotely sensed normalised difference water index (NDWI) with in situ CH4 fluxes from Rylek{\ae}rene, a high-Arctic wet tundra ecosystem in the Zackenberg valley, north-eastern Greenland. In situ CH4 fluxes were measured using the closed-chamber technique. Regression models between in situ CH4 fluxes and environmental variables [soil temperature (Tsoil), water table depth (WtD) and active layer (AL) thickness] were established for different temporal and spatial scales. The relationship between in situ WtD and remotely sensed NDWI was also studied. The regression models were combined and evaluated against in situ CH4 fluxes. The models including NDWI as the input data performed on average slightly better [root mean square error (RMSE) = 1.56] than the models without NDWI (RMSE = 1.67), and they were better in reproducing CH4 flux variability. The CH4 flux model that performed the best included exponential relationships against temporal variation in Tsoil and AL, an exponential relationship against spatial variation in WtD and a linear relationship between WtD and remotely sensed NDWI (RMSE = 1.50). There were no trends in modelled CH4 flux budgets between 1997 and 2010. Hence, during this period there were no trends in the soil temperature at 10 cm depth and NDWI.",

author = "Tagesson, {H{\aa}kan Torbern} and Mikhail Mastepanov and Meelis M{\"o}lder and Tamstorf, {Mikkel P.} and Lars Eklundh and Benjamin Smith and Charlotte Sigsgaard and Magnus Lund and Anna Ekberg and Falk, {Julie M.} and Thomas Friborg and Christensen, {Torben R.} and Lena Str{\"o}m",

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T1 - Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite data

AU - Tagesson, Håkan Torbern

AU - Mastepanov, Mikhail

AU - Mölder, Meelis

AU - Tamstorf, Mikkel P.

AU - Eklundh, Lars

AU - Smith, Benjamin

AU - Sigsgaard, Charlotte

AU - Lund, Magnus

AU - Ekberg, Anna

AU - Falk, Julie M.

AU - Friborg, Thomas

AU - Christensen, Torben R.

AU - Ström, Lena

N1 - CENPERM[2013]

PY - 2013

Y1 - 2013

N2 - Methane (CH4) fluxes 1997-2010 were studied by combining remotely sensed normalised difference water index (NDWI) with in situ CH4 fluxes from Rylekærene, a high-Arctic wet tundra ecosystem in the Zackenberg valley, north-eastern Greenland. In situ CH4 fluxes were measured using the closed-chamber technique. Regression models between in situ CH4 fluxes and environmental variables [soil temperature (Tsoil), water table depth (WtD) and active layer (AL) thickness] were established for different temporal and spatial scales. The relationship between in situ WtD and remotely sensed NDWI was also studied. The regression models were combined and evaluated against in situ CH4 fluxes. The models including NDWI as the input data performed on average slightly better [root mean square error (RMSE) = 1.56] than the models without NDWI (RMSE = 1.67), and they were better in reproducing CH4 flux variability. The CH4 flux model that performed the best included exponential relationships against temporal variation in Tsoil and AL, an exponential relationship against spatial variation in WtD and a linear relationship between WtD and remotely sensed NDWI (RMSE = 1.50). There were no trends in modelled CH4 flux budgets between 1997 and 2010. Hence, during this period there were no trends in the soil temperature at 10 cm depth and NDWI.

AB - Methane (CH4) fluxes 1997-2010 were studied by combining remotely sensed normalised difference water index (NDWI) with in situ CH4 fluxes from Rylekærene, a high-Arctic wet tundra ecosystem in the Zackenberg valley, north-eastern Greenland. In situ CH4 fluxes were measured using the closed-chamber technique. Regression models between in situ CH4 fluxes and environmental variables [soil temperature (Tsoil), water table depth (WtD) and active layer (AL) thickness] were established for different temporal and spatial scales. The relationship between in situ WtD and remotely sensed NDWI was also studied. The regression models were combined and evaluated against in situ CH4 fluxes. The models including NDWI as the input data performed on average slightly better [root mean square error (RMSE) = 1.56] than the models without NDWI (RMSE = 1.67), and they were better in reproducing CH4 flux variability. The CH4 flux model that performed the best included exponential relationships against temporal variation in Tsoil and AL, an exponential relationship against spatial variation in WtD and a linear relationship between WtD and remotely sensed NDWI (RMSE = 1.50). There were no trends in modelled CH4 flux budgets between 1997 and 2010. Hence, during this period there were no trends in the soil temperature at 10 cm depth and NDWI.

U2 - 10.3402/tellusb.v65i0.19722

DO - 10.3402/tellusb.v65i0.19722

M3 - Journal article

SN - 0280-6509

VL - 65

JO - Tellus B: Chemical and Physical Meteorology

JF - Tellus B: Chemical and Physical Meteorology

M1 - 19722

ER -

Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite data

Abstract

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