Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET-CH₄ Sites Using Wavelet Analyses
Process-based land surface models are important tools for estimating global wetland methane (CH₄) emissions and projecting their behavior across space and time. So far there are no performance assessments of model responses to drivers at multiple time scales. In this study, we apply wavelet analysis...
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ftethz:oai:www.research-collection.ethz.ch:20.500.11850/642285 2024-02-04T09:58:23+01:00 Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET-CH₄ Sites Using Wavelet Analyses Zhang, Zhen Bansal, Sheel Chang, Kuang-Yu Fluet-Chouinard, Etienne Delwiche, Kyle Goeckede, Mathias Gustafson, Adrian Knox, Sara Leppänen, Antti Liu, Licheng Liu, Jinxun Malhotra, Avni Markkanen, Tiina McNicol, Gavin Melton, Joe R. Miller, Paul A. Peng, Changhui Raivonen, Maarit Riley, William J. Sonnentag, Oliver 2023-11 application/application/pdf https://hdl.handle.net/20.500.11850/642285 https://doi.org/10.3929/ethz-b-000642285 en eng Wiley-Blackwell info:eu-repo/semantics/altIdentifier/doi/10.1029/2022JG007259 info:eu-repo/semantics/altIdentifier/wos/001102775100001 http://hdl.handle.net/20.500.11850/642285 doi:10.3929/ethz-b-000642285 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Journal of Geophysical Research: Biogeosciences, 128 (11) info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2023 ftethz https://doi.org/20.500.11850/64228510.3929/ethz-b-00064228510.1029/2022JG007259 2024-01-08T00:52:40Z Process-based land surface models are important tools for estimating global wetland methane (CH₄) emissions and projecting their behavior across space and time. So far there are no performance assessments of model responses to drivers at multiple time scales. In this study, we apply wavelet analysis to identify the dominant time scales contributing to model uncertainty in the frequency domain. We evaluate seven wetland models at 23 eddy covariance tower sites. Our study first characterizes site-level patterns of freshwater wetland CH₄ fluxes (FCH₄) at different time scales. A Monte Carlo approach was developed to incorporate flux observation error to avoid misidentification of the time scales that dominate model error. Our results suggest that (a) significant model-observation disagreements are mainly at multi-day time scales (<15 days); (b) most of the models can capture the CH₄ variability at monthly and seasonal time scales (>32 days) for the boreal and Arctic tundra wetland sites but have significant bias in variability at seasonal time scales for temperate and tropical/subtropical sites; (c) model errors exhibit increasing power spectrum as time scale increases, indicating that biases at time scales <5 days could contribute to persistent systematic biases on longer time scales; and (d) differences in error pattern are related to model structure (e.g., proxy of CH₄ production). Our evaluation suggests the need to accurately replicate FCH₄ variability, especially at short time scales, in future wetland CH₄ model developments. ISSN:0148-0227 ISSN:2169-8953 ISSN:2169-8961 Article in Journal/Newspaper Arctic Tundra ETH Zürich Research Collection Arctic |
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Open Polar |
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ETH Zürich Research Collection |
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ftethz |
language |
English |
description |
Process-based land surface models are important tools for estimating global wetland methane (CH₄) emissions and projecting their behavior across space and time. So far there are no performance assessments of model responses to drivers at multiple time scales. In this study, we apply wavelet analysis to identify the dominant time scales contributing to model uncertainty in the frequency domain. We evaluate seven wetland models at 23 eddy covariance tower sites. Our study first characterizes site-level patterns of freshwater wetland CH₄ fluxes (FCH₄) at different time scales. A Monte Carlo approach was developed to incorporate flux observation error to avoid misidentification of the time scales that dominate model error. Our results suggest that (a) significant model-observation disagreements are mainly at multi-day time scales (<15 days); (b) most of the models can capture the CH₄ variability at monthly and seasonal time scales (>32 days) for the boreal and Arctic tundra wetland sites but have significant bias in variability at seasonal time scales for temperate and tropical/subtropical sites; (c) model errors exhibit increasing power spectrum as time scale increases, indicating that biases at time scales <5 days could contribute to persistent systematic biases on longer time scales; and (d) differences in error pattern are related to model structure (e.g., proxy of CH₄ production). Our evaluation suggests the need to accurately replicate FCH₄ variability, especially at short time scales, in future wetland CH₄ model developments. ISSN:0148-0227 ISSN:2169-8953 ISSN:2169-8961 |
format |
Article in Journal/Newspaper |
author |
Zhang, Zhen Bansal, Sheel Chang, Kuang-Yu Fluet-Chouinard, Etienne Delwiche, Kyle Goeckede, Mathias Gustafson, Adrian Knox, Sara Leppänen, Antti Liu, Licheng Liu, Jinxun Malhotra, Avni Markkanen, Tiina McNicol, Gavin Melton, Joe R. Miller, Paul A. Peng, Changhui Raivonen, Maarit Riley, William J. Sonnentag, Oliver |
spellingShingle |
Zhang, Zhen Bansal, Sheel Chang, Kuang-Yu Fluet-Chouinard, Etienne Delwiche, Kyle Goeckede, Mathias Gustafson, Adrian Knox, Sara Leppänen, Antti Liu, Licheng Liu, Jinxun Malhotra, Avni Markkanen, Tiina McNicol, Gavin Melton, Joe R. Miller, Paul A. Peng, Changhui Raivonen, Maarit Riley, William J. Sonnentag, Oliver Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET-CH₄ Sites Using Wavelet Analyses |
author_facet |
Zhang, Zhen Bansal, Sheel Chang, Kuang-Yu Fluet-Chouinard, Etienne Delwiche, Kyle Goeckede, Mathias Gustafson, Adrian Knox, Sara Leppänen, Antti Liu, Licheng Liu, Jinxun Malhotra, Avni Markkanen, Tiina McNicol, Gavin Melton, Joe R. Miller, Paul A. Peng, Changhui Raivonen, Maarit Riley, William J. Sonnentag, Oliver |
author_sort |
Zhang, Zhen |
title |
Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET-CH₄ Sites Using Wavelet Analyses |
title_short |
Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET-CH₄ Sites Using Wavelet Analyses |
title_full |
Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET-CH₄ Sites Using Wavelet Analyses |
title_fullStr |
Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET-CH₄ Sites Using Wavelet Analyses |
title_full_unstemmed |
Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET-CH₄ Sites Using Wavelet Analyses |
title_sort |
characterizing performance of freshwater wetland methane models across time scales at fluxnet-ch₄ sites using wavelet analyses |
publisher |
Wiley-Blackwell |
publishDate |
2023 |
url |
https://hdl.handle.net/20.500.11850/642285 https://doi.org/10.3929/ethz-b-000642285 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_source |
Journal of Geophysical Research: Biogeosciences, 128 (11) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1029/2022JG007259 info:eu-repo/semantics/altIdentifier/wos/001102775100001 http://hdl.handle.net/20.500.11850/642285 doi:10.3929/ethz-b-000642285 |
op_rights |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International |
op_doi |
https://doi.org/20.500.11850/64228510.3929/ethz-b-00064228510.1029/2022JG007259 |
_version_ |
1789962818198437888 |