Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb)
The Canadian Land Surface Scheme and the Canadian Terrestrial Ecosystem Model (CLASS-CTEM) together form the land surface component in the family of Canadian Earth system models (CanESMs). Here, CLASS-CTEM is coupled to Environment and Climate Change Canada (ECCC)'s weather and greenhouse ga...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-02-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://www.geosci-model-dev.net/11/631/2018/gmd-11-631-2018.pdf |
| _version_ | 1811220069508710400 |
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| author | B. Badawy B. Badawy S. Polavarapu D. B. A. Jones F. Deng M. Neish J. R. Melton R. Nassar V. K. Arora |
| author_facet | B. Badawy B. Badawy S. Polavarapu D. B. A. Jones F. Deng M. Neish J. R. Melton R. Nassar V. K. Arora |
| author_sort | B. Badawy |
| collection | DOAJ |
| description | The Canadian Land Surface Scheme and the Canadian Terrestrial Ecosystem Model
(CLASS-CTEM) together form the land surface component in the family of
Canadian Earth system models (CanESMs). Here, CLASS-CTEM is coupled to
Environment and Climate Change Canada (ECCC)'s weather and greenhouse gas
forecast model (GEM-MACH-GHG) to consistently model atmosphere–land exchange
of CO<sub>2</sub>. The coupling between the land and the atmospheric transport
model ensures consistency between meteorological forcing of CO<sub>2</sub>
fluxes and CO<sub>2</sub> transport. The procedure used to spin up carbon
pools for CLASS-CTEM for multi-decadal simulations needed to be significantly
altered to deal with the limited availability of consistent meteorological
information from a constantly changing operational environment in the
GEM-MACH-GHG model. Despite the limitations in the spin-up procedure, the
simulated fluxes obtained by driving the CLASS-CTEM model with meteorological
forcing from GEM-MACH-GHG were comparable to those obtained from CLASS-CTEM
when it is driven with standard meteorological forcing from the Climate
Research Unit (CRU) combined with reanalysis fields from the National Centers
for Environmental Prediction (NCEP) to form CRU-NCEP dataset. This is due to
the similarity of the two meteorological datasets in terms of temperature and
radiation. However, notable discrepancies in the seasonal variation and
spatial patterns of precipitation estimates, especially in the tropics, were
reflected in the estimated carbon fluxes, as they significantly affected the
magnitude of the vegetation productivity and, to a lesser extent, the
seasonal variations in carbon fluxes. Nevertheless, the simulated fluxes
based on the meteorological forcing from the GEM-MACH-GHG model are
consistent to some extent with other estimates from bottom-up or top-down
approaches. Indeed, when simulated fluxes obtained by driving the CLASS-CTEM
model with meteorological data from the GEM-MACH-GHG model are used as prior
estimates for an atmospheric CO<sub>2</sub> inversion analysis using the
adjoint of the GEOS-Chem model, the retrieved CO<sub>2</sub> flux estimates
are comparable to those obtained from other systems in terms of the global
budget and the total flux estimates for the northern extratropical regions,
which have good observational coverage. In data-poor regions, as expected,
differences in the retrieved fluxes due to the prior fluxes become apparent.
Coupling CLASS-CTEM into the Environment Canada Carbon Assimilation System
(EC-CAS) is considered an important step toward understanding how
meteorological uncertainties affect both CO<sub>2</sub> flux estimates and
modeled atmospheric transport. Ultimately, such an approach will provide more
direct feedback to the CLASS-CTEM developers and thus help to improve the
performance of CLASS-CTEM by identifying the model limitations based on
atmospheric constraints. |
| first_indexed | 2024-04-12T07:35:35Z |
| format | Article |
| id | doaj.art-4095e0c0a5f04acbb8ac16fee35ae9b7 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-04-12T07:35:35Z |
| publishDate | 2018-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-4095e0c0a5f04acbb8ac16fee35ae9b72022-12-22T03:41:56ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032018-02-011163166310.5194/gmd-11-631-2018Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb)B. Badawy0B. Badawy1S. Polavarapu2D. B. A. Jones3F. Deng4M. Neish5J. R. Melton6R. Nassar7V. K. Arora8Climate Research Division, Environment and Climate Change Canada, Toronto, Canadanow at: Faculty of Environment, University of Waterloo, Waterloo, CanadaClimate Research Division, Environment and Climate Change Canada, Toronto, CanadaDepartment of Physics, University of Toronto, Toronto, CanadaDepartment of Physics, University of Toronto, Toronto, CanadaClimate Research Division, Environment and Climate Change Canada, Toronto, CanadaClimate Research Division, Environment and Climate Change Canada, Victoria, CanadaClimate Research Division, Environment and Climate Change Canada, Toronto, CanadaClimate Research Division, Environment and Climate Change Canada, Victoria, CanadaThe Canadian Land Surface Scheme and the Canadian Terrestrial Ecosystem Model (CLASS-CTEM) together form the land surface component in the family of Canadian Earth system models (CanESMs). Here, CLASS-CTEM is coupled to Environment and Climate Change Canada (ECCC)'s weather and greenhouse gas forecast model (GEM-MACH-GHG) to consistently model atmosphere–land exchange of CO<sub>2</sub>. The coupling between the land and the atmospheric transport model ensures consistency between meteorological forcing of CO<sub>2</sub> fluxes and CO<sub>2</sub> transport. The procedure used to spin up carbon pools for CLASS-CTEM for multi-decadal simulations needed to be significantly altered to deal with the limited availability of consistent meteorological information from a constantly changing operational environment in the GEM-MACH-GHG model. Despite the limitations in the spin-up procedure, the simulated fluxes obtained by driving the CLASS-CTEM model with meteorological forcing from GEM-MACH-GHG were comparable to those obtained from CLASS-CTEM when it is driven with standard meteorological forcing from the Climate Research Unit (CRU) combined with reanalysis fields from the National Centers for Environmental Prediction (NCEP) to form CRU-NCEP dataset. This is due to the similarity of the two meteorological datasets in terms of temperature and radiation. However, notable discrepancies in the seasonal variation and spatial patterns of precipitation estimates, especially in the tropics, were reflected in the estimated carbon fluxes, as they significantly affected the magnitude of the vegetation productivity and, to a lesser extent, the seasonal variations in carbon fluxes. Nevertheless, the simulated fluxes based on the meteorological forcing from the GEM-MACH-GHG model are consistent to some extent with other estimates from bottom-up or top-down approaches. Indeed, when simulated fluxes obtained by driving the CLASS-CTEM model with meteorological data from the GEM-MACH-GHG model are used as prior estimates for an atmospheric CO<sub>2</sub> inversion analysis using the adjoint of the GEOS-Chem model, the retrieved CO<sub>2</sub> flux estimates are comparable to those obtained from other systems in terms of the global budget and the total flux estimates for the northern extratropical regions, which have good observational coverage. In data-poor regions, as expected, differences in the retrieved fluxes due to the prior fluxes become apparent. Coupling CLASS-CTEM into the Environment Canada Carbon Assimilation System (EC-CAS) is considered an important step toward understanding how meteorological uncertainties affect both CO<sub>2</sub> flux estimates and modeled atmospheric transport. Ultimately, such an approach will provide more direct feedback to the CLASS-CTEM developers and thus help to improve the performance of CLASS-CTEM by identifying the model limitations based on atmospheric constraints.https://www.geosci-model-dev.net/11/631/2018/gmd-11-631-2018.pdf |
| spellingShingle | B. Badawy B. Badawy S. Polavarapu D. B. A. Jones F. Deng M. Neish J. R. Melton R. Nassar V. K. Arora Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) Geoscientific Model Development |
| title | Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) |
| title_full | Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) |
| title_fullStr | Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) |
| title_full_unstemmed | Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) |
| title_short | Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) |
| title_sort | coupling the canadian terrestrial ecosystem model ctem v 2 0 to environment and climate change canada s greenhouse gas forecast model v 107 glb |
| url | https://www.geosci-model-dev.net/11/631/2018/gmd-11-631-2018.pdf |
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