Assessing biotic contributions to CO<sub>2</sub> fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009
<p>Accurately quantifying the spatiotemporal distribution of the biological component of CO<sub>2</sub> surface–atmosphere exchange is necessary to improve top-down constraints on China's anthropogenic CO<sub>2</sub> emissions. We provide hourly fluxes of CO<...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-11-01
|
| Series: | Biogeosciences |
| Online Access: | https://www.biogeosciences.net/15/6713/2018/bg-15-6713-2018.pdf |
| _version_ | 1818280700796731392 |
|---|---|
| author | A. Dayalu A. Dayalu J. W. Munger S. C. Wofsy S. C. Wofsy Y. Wang Y. Wang T. Nehrkorn Y. Zhao M. B. McElroy C. P. Nielsen K. Luus |
| author_facet | A. Dayalu A. Dayalu J. W. Munger S. C. Wofsy S. C. Wofsy Y. Wang Y. Wang T. Nehrkorn Y. Zhao M. B. McElroy C. P. Nielsen K. Luus |
| author_sort | A. Dayalu |
| collection | DOAJ |
| description | <p>Accurately quantifying the spatiotemporal distribution of the biological
component of CO<sub>2</sub> surface–atmosphere exchange is necessary to improve
top-down constraints on China's anthropogenic CO<sub>2</sub> emissions. We
provide hourly fluxes of CO<sub>2</sub> as net ecosystem exchange (NEE;
µmol CO<sub>2</sub> m<sup>−2</sup> s<sup>−1</sup>) on a 0.25° × 0.25° grid by adapting the Vegetation, Photosynthesis, and
Respiration Model (VPRM) to the eastern half of China for the time period
from 2005 to 2009; the minimal empirical parameterization of the VPRM-CHINA
makes it well suited for inverse modeling approaches. This study diverges
from previous VPRM applications in that it is applied at a large scale to
China's ecosystems for the first time, incorporating a novel processing
framework not previously applied to existing VPRM versions. In addition, the
VPRM-CHINA model prescribes methods for addressing dual-cropping regions that
have two separate growing-season modes applied to the same model grid cell. We
evaluate the VPRM-CHINA performance during the growing season and compare to
other biospheric models. We calibrate the VPRM-CHINA with ChinaFlux and
FluxNet data and scale up regionally using Weather Research and Forecasting
(WRF) Model v3.6.1 meteorology and MODIS surface reflectances. When combined
with an anthropogenic emissions model in a Lagrangian particle transport
framework, we compare the ability of VPRM-CHINA relative to an ensemble mean
of global hourly flux models (NASA CMS – Carbon Monitoring System) to reproduce observations made at a
site in northern China. The measurements are heavily influenced by the
northern China administrative region. Modeled hourly time series using
vegetation fluxes prescribed by VPRM-CHINA exhibit low bias relative to
measurements during the May–September growing season. Compared to NASA CMS
subset over the study region, VPRM-CHINA agrees significantly better with
measurements. NASA CMS consistently underestimates regional uptake in the
growing season. We find that during the peak growing season, when the heavily
cropped North China Plain significantly influences measurements, VPRM-CHINA
models a CO<sub>2</sub> uptake signal comparable in magnitude to the modeled
anthropogenic signal. In addition to demonstrating efficacy as a low-bias
prior for top-down CO<sub>2</sub> inventory optimization studies using
ground-based measurements, high spatiotemporal resolution models such as the
VPRM are critical for interpreting retrievals from global CO<sub>2</sub> remote-sensing platforms such as OCO-2 and OCO-3 (planned). Depending on the
satellite time of day and season of crossover, efforts to interpret the
relative contribution of the vegetation and anthropogenic components to the
measured signal are critical in key emitting regions such as northern China
– where the magnitude of the vegetation CO<sub>2</sub> signal is shown to be
equivalent to the anthropogenic signal.</p> |
| first_indexed | 2024-12-12T23:53:24Z |
| format | Article |
| id | doaj.art-1c470c1b5bbf41c4b174df54c2ba3d02 |
| institution | Directory Open Access Journal |
| issn | 1726-4170 1726-4189 |
| language | English |
| last_indexed | 2024-12-12T23:53:24Z |
| publishDate | 2018-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Biogeosciences |
| spelling | doaj.art-1c470c1b5bbf41c4b174df54c2ba3d022022-12-22T00:06:38ZengCopernicus PublicationsBiogeosciences1726-41701726-41892018-11-01156713672910.5194/bg-15-6713-2018Assessing biotic contributions to CO<sub>2</sub> fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009A. Dayalu0A. Dayalu1J. W. Munger2S. C. Wofsy3S. C. Wofsy4Y. Wang5Y. Wang6T. Nehrkorn7Y. Zhao8M. B. McElroy9C. P. Nielsen10K. Luus11Department of Earth and Planetary Sciences, Harvard University, Cambridge, 02138, USASchool of Engineering and Applied Sciences, Harvard University, Cambridge, 02138, USASchool of Engineering and Applied Sciences, Harvard University, Cambridge, 02138, USADepartment of Earth and Planetary Sciences, Harvard University, Cambridge, 02138, USASchool of Engineering and Applied Sciences, Harvard University, Cambridge, 02138, USADepartment of Earth and Atmospheric Sciences, University of Houston, Houston, 77204, USADepartment of Earth System Sciences, Tsinghua University, Beijing, 100084, People's Republic of ChinaAtmospheric and Environmental Research, Inc., Lexington, 02421, USASchool of the Environment, University of Nanjing, Nanjing, 210023, People's Republic of ChinaSchool of Engineering and Applied Sciences, Harvard University, Cambridge, 02138, USASchool of Engineering and Applied Sciences, Harvard University, Cambridge, 02138, USACentre for Applied Data Analytics (CeADAR), Dublin 4, Ireland<p>Accurately quantifying the spatiotemporal distribution of the biological component of CO<sub>2</sub> surface–atmosphere exchange is necessary to improve top-down constraints on China's anthropogenic CO<sub>2</sub> emissions. We provide hourly fluxes of CO<sub>2</sub> as net ecosystem exchange (NEE; µmol CO<sub>2</sub> m<sup>−2</sup> s<sup>−1</sup>) on a 0.25° × 0.25° grid by adapting the Vegetation, Photosynthesis, and Respiration Model (VPRM) to the eastern half of China for the time period from 2005 to 2009; the minimal empirical parameterization of the VPRM-CHINA makes it well suited for inverse modeling approaches. This study diverges from previous VPRM applications in that it is applied at a large scale to China's ecosystems for the first time, incorporating a novel processing framework not previously applied to existing VPRM versions. In addition, the VPRM-CHINA model prescribes methods for addressing dual-cropping regions that have two separate growing-season modes applied to the same model grid cell. We evaluate the VPRM-CHINA performance during the growing season and compare to other biospheric models. We calibrate the VPRM-CHINA with ChinaFlux and FluxNet data and scale up regionally using Weather Research and Forecasting (WRF) Model v3.6.1 meteorology and MODIS surface reflectances. When combined with an anthropogenic emissions model in a Lagrangian particle transport framework, we compare the ability of VPRM-CHINA relative to an ensemble mean of global hourly flux models (NASA CMS – Carbon Monitoring System) to reproduce observations made at a site in northern China. The measurements are heavily influenced by the northern China administrative region. Modeled hourly time series using vegetation fluxes prescribed by VPRM-CHINA exhibit low bias relative to measurements during the May–September growing season. Compared to NASA CMS subset over the study region, VPRM-CHINA agrees significantly better with measurements. NASA CMS consistently underestimates regional uptake in the growing season. We find that during the peak growing season, when the heavily cropped North China Plain significantly influences measurements, VPRM-CHINA models a CO<sub>2</sub> uptake signal comparable in magnitude to the modeled anthropogenic signal. In addition to demonstrating efficacy as a low-bias prior for top-down CO<sub>2</sub> inventory optimization studies using ground-based measurements, high spatiotemporal resolution models such as the VPRM are critical for interpreting retrievals from global CO<sub>2</sub> remote-sensing platforms such as OCO-2 and OCO-3 (planned). Depending on the satellite time of day and season of crossover, efforts to interpret the relative contribution of the vegetation and anthropogenic components to the measured signal are critical in key emitting regions such as northern China – where the magnitude of the vegetation CO<sub>2</sub> signal is shown to be equivalent to the anthropogenic signal.</p>https://www.biogeosciences.net/15/6713/2018/bg-15-6713-2018.pdf |
| spellingShingle | A. Dayalu A. Dayalu J. W. Munger S. C. Wofsy S. C. Wofsy Y. Wang Y. Wang T. Nehrkorn Y. Zhao M. B. McElroy C. P. Nielsen K. Luus Assessing biotic contributions to CO<sub>2</sub> fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009 Biogeosciences |
| title | Assessing biotic contributions to CO<sub>2</sub> fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009 |
| title_full | Assessing biotic contributions to CO<sub>2</sub> fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009 |
| title_fullStr | Assessing biotic contributions to CO<sub>2</sub> fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009 |
| title_full_unstemmed | Assessing biotic contributions to CO<sub>2</sub> fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009 |
| title_short | Assessing biotic contributions to CO<sub>2</sub> fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009 |
| title_sort | assessing biotic contributions to co sub 2 sub fluxes in northern china using the vegetation photosynthesis and respiration model vprm china and observations from 2005 to 2009 |
| url | https://www.biogeosciences.net/15/6713/2018/bg-15-6713-2018.pdf |
| work_keys_str_mv | AT adayalu assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT adayalu assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT jwmunger assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT scwofsy assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT scwofsy assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT ywang assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT ywang assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT tnehrkorn assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT yzhao assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT mbmcelroy assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT cpnielsen assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 AT kluus assessingbioticcontributionstocosub2subfluxesinnorthernchinausingthevegetationphotosynthesisandrespirationmodelvprmchinaandobservationsfrom2005to2009 |