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Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020)

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Liu et al. as discussed by the authors presented a global and regionally resolved terrestrial net-biosphere exchange (NBE) dataset with corresponding uncertainties between 2010-2018: Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020).
Abstract
. Here we present a global and regionally resolved terrestrial net biosphere exchange (NBE) dataset with corresponding uncertainties between 2010–2018: Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020). It is estimated using the NASA Carbon Monitoring System Flux (CMS-Flux) top-down flux inversion system that assimilates column CO 2 observations from the Greenhouse Gases Observing Satellite (GOSAT) and NASA's Observing Carbon Observatory 2 (OCO-2). The regional monthly fluxes are readily accessible as tabular files, and the gridded fluxes are available in NetCDF format. The fluxes and their uncertainties are evaluated by extensively comparing the posterior CO 2 mole fractions with CO 2 observations from aircraft and the NOAA marine boundary layer reference sites. We describe the characteristics of the dataset as the global total, regional climatological mean, and regional annual fluxes and seasonal cycles. We find that the global total fluxes of the dataset agree with atmospheric CO 2 growth observed by the surface-observation network within uncertainty. Averaged between 2010 and 2018, the tropical regions range from close to neutral in tropical South America to a net source in Africa; these contrast with the extra-tropics, which are a net sink of 2.5±0.3  Gt C/year. The regional satellite-constrained NBE estimates provide a unique perspective for understanding the terrestrial biosphere carbon dynamics and monitoring changes in regional contributions to the changes of atmospheric CO 2 growth rate. The gridded and regional aggregated dataset can be accessed at https://doi.org/10.25966/4v02-c391 (Liu et al., 2020).

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Global Carbon Budget 2021

Pierre Friedlingstein, +63 more
TL;DR: Friedlingstein et al. as mentioned in this paper presented and synthesized datasets and methodology to quantify the five major components of the global carbon budget and their uncertainties, including fossil CO2 emissions, land use and land-use change data and bookkeeping models.
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Global Carbon Budget 2022

Pierre Friedlingstein, +105 more
TL;DR: Friedlingstein et al. as mentioned in this paper presented and synthesized data sets and methodologies to quantify the five major components of the global carbon budget and their uncertainties, including fossil CO2 emissions, land use and land-use change data and bookkeeping models.
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Changes in global terrestrial live biomass over the 21st century

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Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2)

TL;DR: In this article, the authors provide an update of regional carbon budgets over the last two decades based on observations, for 10 regions covering the globe, with a better harmonization that the precursor project, and define the different component fluxes of the net land atmosphere carbon exchange that should be reported by each research group in charge of each region.
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The NASA Atmospheric Tomography (ATom) Mission: Imaging the Chemistry of the Global Atmosphere

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References
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MonographDOI

Global Warming of 1.5°C

Ipcc
TL;DR: In this paper , the authors present a comprehensive assessment of our understanding of global warming of 1.5°C, future climate change, potential impacts and associated risks, emission pathways, and system transitions consistent with 1.0°C global warming, and strengthening the global response to climate change in the context of sustainable development and efforts to eradicate poverty.
Journal ArticleDOI

Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization

TL;DR: L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds on the variables, intended for problems in which information on the Hessian matrix is difficult to obtain, or for large dense problems.
Journal ArticleDOI

Analysis of daily, monthly, and annual burned area using the fourth‐generation global fire emissions database (GFED4)

TL;DR: The Global Fire Emissions Database (GFED4) as discussed by the authors provides global monthly burned area at 0.25°m spatial resolution from mid-1995 through the present and daily burned area for the time series extending back to August 2000.
Journal ArticleDOI

Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle

TL;DR: It is found that the global carbon sink anomaly was driven by growth of semi-arid vegetation in the Southern Hemisphere, with almost 60 per cent of carbon uptake attributed to Australian ecosystems, where prevalent La Niña conditions caused up to six consecutive seasons of increased precipitation.
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