Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5
The Arctic–boreal zone (ABZ) is experiencing amplified warming, actively changing biogeochemical cycling of vegetation and soils. The land-to-atmosphere fluxes of CO 2 in the ABZ have the potential to increase in magnitude and feedback to the climate causing additional large-scale warming. The abili...
Published in: | Geoscientific Model Development |
---|---|
Main Authors: | , , , , , , , , , , , |
Format: | Text |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://doi.org/10.5194/gmd-14-3361-2021 https://gmd.copernicus.org/articles/14/3361/2021/ |
id |
ftcopernicus:oai:publications.copernicus.org:gmd90752 |
---|---|
record_format |
openpolar |
spelling |
ftcopernicus:oai:publications.copernicus.org:gmd90752 2023-05-15T15:00:54+02:00 Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 Birch, Leah Schwalm, Christopher R. Natali, Sue Lombardozzi, Danica Keppel-Aleks, Gretchen Watts, Jennifer Lin, Xin Zona, Donatella Oechel, Walter Sachs, Torsten Black, Thomas Andrew Rogers, Brendan M. 2021-06-04 application/pdf https://doi.org/10.5194/gmd-14-3361-2021 https://gmd.copernicus.org/articles/14/3361/2021/ eng eng doi:10.5194/gmd-14-3361-2021 https://gmd.copernicus.org/articles/14/3361/2021/ eISSN: 1991-9603 Text 2021 ftcopernicus https://doi.org/10.5194/gmd-14-3361-2021 2021-06-07T16:22:13Z The Arctic–boreal zone (ABZ) is experiencing amplified warming, actively changing biogeochemical cycling of vegetation and soils. The land-to-atmosphere fluxes of CO 2 in the ABZ have the potential to increase in magnitude and feedback to the climate causing additional large-scale warming. The ability to model and predict this vulnerability is critical to preparation for a warming world, but Earth system models have biases that may hinder understanding of the rapidly changing ABZ carbon fluxes. Here we investigate circumpolar carbon cycling represented by the Community Land Model 5 (CLM5.0) with a focus on seasonal gross primary productivity (GPP) in plant functional types (PFTs). We benchmark model results using data from satellite remote sensing products and eddy covariance towers. We find consistent biases in CLM5.0 relative to observational constraints: (1) the onset of deciduous plant productivity to be late; (2) the offset of productivity to lag and remain abnormally high for all PFTs in fall; (3) a high bias of grass, shrub, and needleleaf evergreen tree productivity; and (4) an underestimation of productivity of deciduous trees. Based on these biases, we focus on model development of alternate phenology, photosynthesis schemes, and carbon allocation parameters at eddy covariance tower sites. Although our improvements are focused on productivity, our final model recommendation results in other component CO 2 fluxes, e.g., net ecosystem exchange (NEE) and terrestrial ecosystem respiration (TER), that are more consistent with observations. Results suggest that algorithms developed for lower latitudes and more temperate environments can be inaccurate when extrapolated to the ABZ, and that many land surface models may not accurately represent carbon cycling and its recent rapid changes in high-latitude ecosystems, especially when analyzed by individual PFTs. Text Arctic Copernicus Publications: E-Journals Arctic Geoscientific Model Development 14 6 3361 3382 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
The Arctic–boreal zone (ABZ) is experiencing amplified warming, actively changing biogeochemical cycling of vegetation and soils. The land-to-atmosphere fluxes of CO 2 in the ABZ have the potential to increase in magnitude and feedback to the climate causing additional large-scale warming. The ability to model and predict this vulnerability is critical to preparation for a warming world, but Earth system models have biases that may hinder understanding of the rapidly changing ABZ carbon fluxes. Here we investigate circumpolar carbon cycling represented by the Community Land Model 5 (CLM5.0) with a focus on seasonal gross primary productivity (GPP) in plant functional types (PFTs). We benchmark model results using data from satellite remote sensing products and eddy covariance towers. We find consistent biases in CLM5.0 relative to observational constraints: (1) the onset of deciduous plant productivity to be late; (2) the offset of productivity to lag and remain abnormally high for all PFTs in fall; (3) a high bias of grass, shrub, and needleleaf evergreen tree productivity; and (4) an underestimation of productivity of deciduous trees. Based on these biases, we focus on model development of alternate phenology, photosynthesis schemes, and carbon allocation parameters at eddy covariance tower sites. Although our improvements are focused on productivity, our final model recommendation results in other component CO 2 fluxes, e.g., net ecosystem exchange (NEE) and terrestrial ecosystem respiration (TER), that are more consistent with observations. Results suggest that algorithms developed for lower latitudes and more temperate environments can be inaccurate when extrapolated to the ABZ, and that many land surface models may not accurately represent carbon cycling and its recent rapid changes in high-latitude ecosystems, especially when analyzed by individual PFTs. |
format |
Text |
author |
Birch, Leah Schwalm, Christopher R. Natali, Sue Lombardozzi, Danica Keppel-Aleks, Gretchen Watts, Jennifer Lin, Xin Zona, Donatella Oechel, Walter Sachs, Torsten Black, Thomas Andrew Rogers, Brendan M. |
spellingShingle |
Birch, Leah Schwalm, Christopher R. Natali, Sue Lombardozzi, Danica Keppel-Aleks, Gretchen Watts, Jennifer Lin, Xin Zona, Donatella Oechel, Walter Sachs, Torsten Black, Thomas Andrew Rogers, Brendan M. Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 |
author_facet |
Birch, Leah Schwalm, Christopher R. Natali, Sue Lombardozzi, Danica Keppel-Aleks, Gretchen Watts, Jennifer Lin, Xin Zona, Donatella Oechel, Walter Sachs, Torsten Black, Thomas Andrew Rogers, Brendan M. |
author_sort |
Birch, Leah |
title |
Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 |
title_short |
Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 |
title_full |
Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 |
title_fullStr |
Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 |
title_full_unstemmed |
Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 |
title_sort |
addressing biases in arctic–boreal carbon cycling in the community land model version 5 |
publishDate |
2021 |
url |
https://doi.org/10.5194/gmd-14-3361-2021 https://gmd.copernicus.org/articles/14/3361/2021/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
eISSN: 1991-9603 |
op_relation |
doi:10.5194/gmd-14-3361-2021 https://gmd.copernicus.org/articles/14/3361/2021/ |
op_doi |
https://doi.org/10.5194/gmd-14-3361-2021 |
container_title |
Geoscientific Model Development |
container_volume |
14 |
container_issue |
6 |
container_start_page |
3361 |
op_container_end_page |
3382 |
_version_ |
1766332954091454464 |