A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC)
Abstract Climate change is rapidly altering composition, structure, and functioning of the boreal biome, across North America often broadly categorized into ecoregions. The resulting complex changes in different ecoregions present a challenge for efforts to accurately simulate carbon dioxide (CO 2 )...
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Online Access: | http://dx.doi.org/10.1088/1748-9326/ace376 https://iopscience.iop.org/article/10.1088/1748-9326/ace376 https://iopscience.iop.org/article/10.1088/1748-9326/ace376/pdf |
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crioppubl:10.1088/1748-9326/ace376 2024-06-02T08:13:08+00:00 A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) Qu, Bo Roy, Alexandre Melton, Joe R Black, T Andrew Amiro, Brian Euskirchen, Eugénie S Ueyama, Masahito Kobayashi, Hideki Schulze, Christopher Gosselin, Gabriel Hould Cannon, Alex J Detto, Matteo Sonnentag, Oliver 2023 http://dx.doi.org/10.1088/1748-9326/ace376 https://iopscience.iop.org/article/10.1088/1748-9326/ace376 https://iopscience.iop.org/article/10.1088/1748-9326/ace376/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining Environmental Research Letters volume 18, issue 8, page 085002 ISSN 1748-9326 journal-article 2023 crioppubl https://doi.org/10.1088/1748-9326/ace376 2024-05-07T13:55:00Z Abstract Climate change is rapidly altering composition, structure, and functioning of the boreal biome, across North America often broadly categorized into ecoregions. The resulting complex changes in different ecoregions present a challenge for efforts to accurately simulate carbon dioxide (CO 2 ) and energy exchanges between boreal forests and the atmosphere with terrestrial ecosystem models (TEMs). Eddy covariance measurements provide valuable information for evaluating the performance of TEMs and guiding their development. Here, we compiled a boreal forest model benchmarking dataset for North America by harmonizing eddy covariance and supporting measurements from eight black spruce ( Picea mariana )-dominated, mature forest stands. The eight forest stands, located in six boreal ecoregions of North America, differ in stand characteristics, disturbance history, climate, permafrost conditions and soil properties. By compiling various data streams, the benchmarking dataset comprises data to parameterize, force, and evaluate TEMs. Specifically, it includes half-hourly, gap-filled meteorological forcing data, ancillary data essential for model parameterization, and half-hourly, gap-filled or partitioned component flux data on CO 2 (net ecosystem production, gross primary production [GPP], and ecosystem respiration [ER]) and energy (latent [LE] and sensible heat [H]) and their daily aggregates screened based on half-hourly gap-filling quality criteria. We present a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) to: (1) demonstrate the utility of our dataset to benchmark TEMs and (2) provide guidance for model development and refinement. Model skill was evaluated using several statistical metrics and further examined through the flux responses to their environmental controls. Our results suggest that CLASSIC tended to overestimate GPP and ER among all stands. Model performance regarding the energy fluxes (i.e., LE and H) varied greatly among the stands and exhibited a ... Article in Journal/Newspaper permafrost IOP Publishing Environmental Research Letters |
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Open Polar |
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IOP Publishing |
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description |
Abstract Climate change is rapidly altering composition, structure, and functioning of the boreal biome, across North America often broadly categorized into ecoregions. The resulting complex changes in different ecoregions present a challenge for efforts to accurately simulate carbon dioxide (CO 2 ) and energy exchanges between boreal forests and the atmosphere with terrestrial ecosystem models (TEMs). Eddy covariance measurements provide valuable information for evaluating the performance of TEMs and guiding their development. Here, we compiled a boreal forest model benchmarking dataset for North America by harmonizing eddy covariance and supporting measurements from eight black spruce ( Picea mariana )-dominated, mature forest stands. The eight forest stands, located in six boreal ecoregions of North America, differ in stand characteristics, disturbance history, climate, permafrost conditions and soil properties. By compiling various data streams, the benchmarking dataset comprises data to parameterize, force, and evaluate TEMs. Specifically, it includes half-hourly, gap-filled meteorological forcing data, ancillary data essential for model parameterization, and half-hourly, gap-filled or partitioned component flux data on CO 2 (net ecosystem production, gross primary production [GPP], and ecosystem respiration [ER]) and energy (latent [LE] and sensible heat [H]) and their daily aggregates screened based on half-hourly gap-filling quality criteria. We present a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) to: (1) demonstrate the utility of our dataset to benchmark TEMs and (2) provide guidance for model development and refinement. Model skill was evaluated using several statistical metrics and further examined through the flux responses to their environmental controls. Our results suggest that CLASSIC tended to overestimate GPP and ER among all stands. Model performance regarding the energy fluxes (i.e., LE and H) varied greatly among the stands and exhibited a ... |
format |
Article in Journal/Newspaper |
author |
Qu, Bo Roy, Alexandre Melton, Joe R Black, T Andrew Amiro, Brian Euskirchen, Eugénie S Ueyama, Masahito Kobayashi, Hideki Schulze, Christopher Gosselin, Gabriel Hould Cannon, Alex J Detto, Matteo Sonnentag, Oliver |
spellingShingle |
Qu, Bo Roy, Alexandre Melton, Joe R Black, T Andrew Amiro, Brian Euskirchen, Eugénie S Ueyama, Masahito Kobayashi, Hideki Schulze, Christopher Gosselin, Gabriel Hould Cannon, Alex J Detto, Matteo Sonnentag, Oliver A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
author_facet |
Qu, Bo Roy, Alexandre Melton, Joe R Black, T Andrew Amiro, Brian Euskirchen, Eugénie S Ueyama, Masahito Kobayashi, Hideki Schulze, Christopher Gosselin, Gabriel Hould Cannon, Alex J Detto, Matteo Sonnentag, Oliver |
author_sort |
Qu, Bo |
title |
A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
title_short |
A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
title_full |
A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
title_fullStr |
A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
title_full_unstemmed |
A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) |
title_sort |
boreal forest model benchmarking dataset for north america: a case study with the canadian land surface scheme including biogeochemical cycles (classic) |
publisher |
IOP Publishing |
publishDate |
2023 |
url |
http://dx.doi.org/10.1088/1748-9326/ace376 https://iopscience.iop.org/article/10.1088/1748-9326/ace376 https://iopscience.iop.org/article/10.1088/1748-9326/ace376/pdf |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Environmental Research Letters volume 18, issue 8, page 085002 ISSN 1748-9326 |
op_rights |
http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1748-9326/ace376 |
container_title |
Environmental Research Letters |
_version_ |
1800759788110348288 |