Global monthly gridded atmospheric carbon dioxide concentrations under the historical and future scenarios

Abstract

Increases in atmospheric carbon dioxide (CO2) concentrations is the main driver of global warming due to fossil fuel combustion. Satellite observations provide continuous global CO2 retrieval products, that reveal the nonuniform distributions of atmospheric CO2 concentrations. However, climate simulation studies are almost based on a globally uniform mean or latitudinally resolved CO2 concentrations assumption. In this study, we reconstructed the historical global monthly distributions of atmospheric CO2 concentrations with 1° resolution from 1850 to 2013 which are based on the historical monthly and latitudinally resolved CO2 concentrations accounting longitudinal features retrieved from fossil-fuel CO2 emissions from Carbon Dioxide Information Analysis Center. And the spatial distributions of nonuniform CO2 under Shared Socio-economic Pathways and Representative Concentration Pathways scenarios were generated based on the spatial, seasonal and interannual scales of the current CO2 concentrations from 2015 to 2150. Including the heterogenous CO2 distributions could enhance the realism of global climate modeling, to better anticipate the potential socio-economic implications, adaptation practices, and mitigation of climate change.

Spatially Varying in CO2 Concentrations Regulates Carbon Uptake in the Northern Hemisphere

“…The spatial variations of atmospheric CO 2 could have a wide influence on NEP, and this influence mainly takes place via two mechanisms: radiative and CO 2 fertilization effects. A positive effect on NEP of an increase in atmospheric CO 2 via photosynthesis has been widely reported (Chen et al., 2022; Fernández‐Martínez et al., 2019; Wang et al., 2020). Therefore, an increase in CO 2 might lead to higher NEP through an increase in photosynthesis.…”

“…Historical CO 2 concentrations suggest a clear spatial variation, and future projections indicate an even greater (approximately fourfold greater) spatial variation than is currently the case, especially under the Shared Socioeconomic Pathway (SSP5‐8.5) scenario (Cheng et al., 2022). It is necessary to consider spatially varying CO 2 concentrations in future projections by climate models, particularly in the Northern Hemisphere where CO 2 concentrations are greater than the global average.…”

A carbon capture and storage technique using gold nanoparticles coupled with Cu-based composited thin film catalysts

“…As shown in Fig. 3e, the corresponding (ahn) 2 versus the binding energy curve could be obtained from the UV-vis spectrum. The bandgap of the thin lm is determined by extrapolating a straight line to where ahn equals 0.…”

“…Carbon dioxide (CO 2 ), as a greenhouse gas, is currently the major environmental issue that needs to be solved. 1,2 To date, the most efficient method is the so-called “carbon capture and storage (CCS)”, which is to capture gaseous CO 2 into solutions and transfer them to carbonate products for further usage. 3–5 In fact, in nature, CO 2 and water flow through the porous bed of limestone (CaCO 3 ) (eqn (1)) and wollastonite (CaSiO 3 ) (eqn (2)) to produce bicarbonate and carbonate by the weathering process.CO 2(aq) + CaCO 3(s) + H 2 O (l) → Ca 2+ (aq) + 2HCO − 3 (aq) CO 2(aq) + CaSiO 3(s) + H 2 O (l) → Ca 2+ (aq) + 2HCO − 3 (aq) + SiO 2(s) …”

Technical note: Novel estimates of the leaf relative uptake rate of carbonyl sulfide from optimality theory

“…As LRU increases at low PAR values, while our interest is the light-saturated LRU, data were filtered for PAR > 1000 µmol m -2 s -1 .For application at the global scale, we calculated monthly climatologies of all inputs for the period 2001-2010 at a 0.05° resolution. Air temperature and VPD were taken from the Chelsea repository (version 2.1;Karger et al, 2018;Karger et al, 2017), incident PAR fromRyu et al (2018), ambient CO2 mole fractions fromCheng et al (2022) and pressure was derived from a global digital elevation model included in the Chelsea repository using the equation implemented in the P-model(Wang et al, 2017a).Usually, incident PAR in the P-model is multiplied with the (satellite-derived) fraction of absorbed PAR (fAPAR) as a simple means of leaf-to-canopy scaling(Stocker et al, 2020). Here, in order to compare to the available LRU studies, the interest is in the leaf-scale and the P-model was thus driven by incident PAR (leaf absorptance of PAR is included in the value of 𝜑 8 ).https://doi.org/10.5194/bg-2022-210 Preprint.…”