A feedback analysis using new variant of a simple coupled global carbon cycle - climate model

2018 ◽  
Author(s):  
Martin Heimann
Keyword(s):  
Carbon Cycle ◽  
Climate Model ◽  
Global Carbon Cycle ◽  
Feedback Analysis ◽  
New Variant ◽  
Global Carbon

scholarly journals The importance of terrestrial weathering changes in multimillennial recovery of the global carbon cycle: a two-dimensional perspective

2017 ◽  
Author(s):  
Marc-Olivier Brault ◽  
H. Damon Matthews ◽  
Lawrence A. Mysak
Keyword(s):  
Carbon Cycle ◽  
Climate Model ◽  
Global Carbon Cycle ◽  
Spatially Explicit ◽  
Two Dimensional ◽  
Emission Scenarios ◽  
Rock Types ◽  
The University ◽  
Industrial State ◽  
Global Carbon

Abstract. In this paper, we describe the development and application of a new spatially-explicit weathering scheme within the University of Victoria Earth System Climate Model (UVic ESCM). We integrated a dataset of modern-day lithology with a number of previously devised parameterizations for weathering dependency on temperature, primary productivity, and runoff. We tested the model with simulations of future carbon cycle perturbations, comparing a number of emission scenarios and model versions with each other and with zero-dimensional equivalents of each experiment. Overall, we found that our two-dimensional weathering model versions were more efficient in restoring the carbon cycle to its pre-industrial state following the pulse emissions than their zero-dimensional counterparts; however, in either case the effect of this weathering negative feedback on the global carbon cycle was small on timescales of less than 1000 years. According to model results, the largest contribution to future changes in weathering rates came from the expansion of tropical and mid-latitude vegetation in grid cells dominated by weathering-vulnerable rock types, whereas changes in temperature and river runoff had a more modest direct effect. Our results also confirmed that silicate weathering is the only mechanism that can lead to a full recovery of the carbon cycle to pre-industrial levels on multi-millennial timescales.

Tracking carbon flows through the biosphere: a new capability for the simple climate model Hector

2021 ◽  
Author(s):  
Skylar Gering ◽  
Benjamin Bond-Lamberty ◽  
Dawn Woodard
Keyword(s):  
Carbon Cycle ◽  
Climate Models ◽  
Climate Model ◽  
Global Climate ◽  
Global Carbon Cycle ◽  
Source Model ◽  
Total Carbon ◽  
Simple Climate Model ◽  
Sensitivity Studies ◽  
Global Carbon

<p>Simple climate models focusing on the global climate and carbon cycle are valuable tools for large-ensemble sensitivity studies, model coupling experiments, and policy analyses. One example is Hector, an open-source model with multiple biomes, ocean chemistry, and a novel permafrost implementation. However, Hector does not currently have the capability to reconstruct the flow of carbon from one carbon pool (e.g., atmosphere and ocean) to another or report, at the end of a model run, the origin of the carbon within each pool. We developed a novel ‘trackedval’ C++ class and integrated it into Hector’s codebase. In addition to keeping track of a pool’s total carbon, the trackedval class also records the origin pools of the carbon, determined at the start of a run. If carbon tracking is enabled, this record is updated every timestep to reflect carbon fluxes (pool-to-pool transfers). To demonstrate this capability, we reconstruct and visualize the movement of carbon for several example model runs. Hector is the only simple climate model that we are aware of with the ability to reconstruct the carbon-cycle in detail through carbon tracking. The addition of the trackedval class to Hector opens up opportunities for deeper exploration of the effects of climate change on the global carbon cycle and can be used to track carbon isotopes or other elements in the future.</p>

scholarly journals The importance of terrestrial weathering changes in multimillennial recovery of the global carbon cycle: a two-dimensional perspective

2017 ◽  
Vol 8 (2) ◽  
pp. 455-475 ◽  
Author(s):  
Marc-Olivier Brault ◽  
H. Damon Matthews ◽  
Lawrence A. Mysak
Keyword(s):  
Carbon Cycle ◽  
Climate Model ◽  
Global Carbon Cycle ◽  
Spatially Explicit ◽  
Two Dimensional ◽  
Emission Scenarios ◽  
Rock Types ◽  
The University ◽  
Industrial State ◽  
Global Carbon

Abstract. In this paper, we describe the development and application of a new spatially explicit weathering scheme within the University of Victoria Earth System Climate Model (UVic ESCM). We integrated a dataset of modern-day lithology with a number of previously devised parameterizations for weathering dependency on temperature, primary productivity, and runoff. We tested the model with simulations of future carbon cycle perturbations, comparing a number of emission scenarios and model versions with each other and with zero-dimensional equivalents of each experiment. Overall, we found that our two-dimensional weathering model versions were more efficient in restoring the carbon cycle to its pre-industrial state following the pulse emissions than their zero-dimensional counterparts; however, in either case the effect of this weathering negative feedback on the global carbon cycle was small on timescales of less than 1000 years. According to model results, the largest contribution to future changes in weathering rates came from the expansion of tropical and mid-latitude vegetation in grid cells dominated by weathering-vulnerable rock types, whereas changes in temperature and river runoff had a more modest direct effect. Our results also confirmed that silicate weathering is the only mechanism that can lead to a full recovery of the carbon cycle to pre-industrial levels on multimillennial timescales.

Are response function representations of the global carbon cycle ever interpretable?

Tellus B ◽  
2009 ◽  
Vol 61 (2) ◽  
Author(s):  
Sile Li ◽  
Andrew J. Jarvis ◽  
David T. Leedal
Keyword(s):  
Carbon Cycle ◽  
Response Function ◽  
Global Carbon Cycle ◽  
Global Carbon

EPR-derived structures of flavin radical and iron-sulfur clusters from Methylosinus sporium 5 reductase

2021 ◽  
Author(s):  
Han Sol Jeong ◽  
Sugyeong Hong ◽  
Hee Seon Yoo ◽  
Jin Kim ◽  
Yujeong Kim ◽  
...  
Keyword(s):  
Carbon Cycle ◽  
Crucial Role ◽  
Methane Monooxygenase ◽  
Global Carbon Cycle ◽  
Ambient Conditions ◽  
Iron Sulfur Clusters ◽  
Iron Sulfur ◽  
Greenhouse Effects ◽  
Global Carbon ◽  
Significant Attention

Methane monooxygenase (MMO) has attracted significant attention owing to its crucial role in the global carbon cycle; it impedes greenhouse effects by converting methane to methanol under ambient conditions. The...

scholarly journals Amazonian Fire Events Disturbed the Global Carbon Cycle: A Study from 2019 Amazon Wildfire Using Google Earth Engine

2020 ◽  
Vol 3 (1) ◽  
pp. 43
Author(s):  
Subhajit Bandopadhyay ◽  
Dany A. Cotrina Sánchez
Keyword(s):  
Carbon Cycle ◽  
Carbon Sink ◽  
Brazilian Amazon ◽  
Global Carbon Cycle ◽  
Forest Productivity ◽  
Google Earth ◽  
Comparative Approach ◽  
Burned Area ◽  
Google Earth Engine ◽  
Global Carbon

An unprecedented number of wildfire events during 2019 throughout the Brazilian Amazon caught global attention, due to their massive extent and the associated loss in the Amazonian forest—an ecosystem on which the whole world depends. Such devastating wildfires in the Amazon has strongly hampered the global carbon cycle and significantly reduced forest productivity. In this study, we have quantified such loss of forest productivity in terms of gross primary productivity (GPP), applying a comparative approach using Google Earth Engine. A total of 12 wildfire spots have been identified based on the fire’s extension over the Brazilian Amazon, and we quantified the loss in productivity between 2018 and 2019. The Moderate Resolution Imaging Spectroradiometer (MODIS) GPP and MODIS burned area satellite imageries, with a revisit time of 8 days and 30 days, respectively, have been used for this study. We have observed that compared to 2018, the number of wildfire events increased during 2019. But such wildfire events did not hamper the natural annual trend of GPP of the Amazonian ecosystem. However, a significant drop in forest productivity in terms of GPP has been observed. Among all 11 observational sites were recorded with GPP loss, ranging from −18.88 gC m−2 yr−1 to −120.11 gC m−2 yr−1, except site number 3. Such drastic loss in GPP indicates that during 2019 fire events, all of these sites acted as carbon sources rather than carbon sink sites, which may hamper the global carbon cycle and terrestrial CO2 fluxes. Therefore, it is assumed that these findings will also fit for the other Amazonian wildfire sites, as well as for the tropical forest ecosystem as a whole. We hope this study will provide a significant contribution to global carbon cycle research, terrestrial ecosystem studies, sustainable forest management, and climate change in contemporary environmental sciences.

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