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...
Published in: | Journal of Geophysical Research: Biogeosciences |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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Wiley
2023
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Online Access: | https://lup.lub.lu.se/record/e080e147-a8d8-49b8-987b-2276f4ddf7f1 https://doi.org/10.1029/2022JG007259 |
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ftulundlup:oai:lup.lub.lu.se:e080e147-a8d8-49b8-987b-2276f4ddf7f1 2024-01-14T10:04:51+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 Aalto, Tuula Vargas, Rodrigo Zhang, Wenxin Zhu, Qing Zhu, Qiuan Zhuang, Qianlai Windham-Myers, Lisamarie Jackson, Robert B. Poulter, Benjamin 2023-11 https://lup.lub.lu.se/record/e080e147-a8d8-49b8-987b-2276f4ddf7f1 https://doi.org/10.1029/2022JG007259 eng eng Wiley https://lup.lub.lu.se/record/e080e147-a8d8-49b8-987b-2276f4ddf7f1 http://dx.doi.org/10.1029/2022JG007259 scopus:85176099332 Journal of Geophysical Research: Biogeosciences; 128(11), no e2022JG007259 (2023) ISSN: 2169-8953 Environmental Sciences Climate Research Methane Biogeochemical models wavelet analysis contributiontojournal/article info:eu-repo/semantics/article text 2023 ftulundlup https://doi.org/10.1029/2022JG007259 2023-12-20T23:29:44Z 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. Article in Journal/Newspaper Arctic Tundra Lund University Publications (LUP) Arctic Journal of Geophysical Research: Biogeosciences 128 11 |
institution |
Open Polar |
collection |
Lund University Publications (LUP) |
op_collection_id |
ftulundlup |
language |
English |
topic |
Environmental Sciences Climate Research Methane Biogeochemical models wavelet analysis |
spellingShingle |
Environmental Sciences Climate Research Methane Biogeochemical models wavelet analysis 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 Aalto, Tuula Vargas, Rodrigo Zhang, Wenxin Zhu, Qing Zhu, Qiuan Zhuang, Qianlai Windham-Myers, Lisamarie Jackson, Robert B. Poulter, Benjamin Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET-CH4 Sites Using Wavelet Analyses |
topic_facet |
Environmental Sciences Climate Research Methane Biogeochemical models wavelet analysis |
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. |
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 Aalto, Tuula Vargas, Rodrigo Zhang, Wenxin Zhu, Qing Zhu, Qiuan Zhuang, Qianlai Windham-Myers, Lisamarie Jackson, Robert B. Poulter, Benjamin |
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 Aalto, Tuula Vargas, Rodrigo Zhang, Wenxin Zhu, Qing Zhu, Qiuan Zhuang, Qianlai Windham-Myers, Lisamarie Jackson, Robert B. Poulter, Benjamin |
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 |
publishDate |
2023 |
url |
https://lup.lub.lu.se/record/e080e147-a8d8-49b8-987b-2276f4ddf7f1 https://doi.org/10.1029/2022JG007259 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_source |
Journal of Geophysical Research: Biogeosciences; 128(11), no e2022JG007259 (2023) ISSN: 2169-8953 |
op_relation |
https://lup.lub.lu.se/record/e080e147-a8d8-49b8-987b-2276f4ddf7f1 http://dx.doi.org/10.1029/2022JG007259 scopus:85176099332 |
op_doi |
https://doi.org/10.1029/2022JG007259 |
container_title |
Journal of Geophysical Research: Biogeosciences |
container_volume |
128 |
container_issue |
11 |
_version_ |
1788059289103892480 |