Energy Imbalance Between the Earth and Space Controls the Climate
Issue:
Volume 9, Issue 4, August 2020
Pages:
117-125
Received:
26 April 2020
Accepted:
20 June 2020
Published:
30 July 2020
Abstract: The climate system depends at an extremely complex set of long-term (about 30 years or more) physical processes in the ocean-land-atmosphere systems, which, in turn, are influenced mainly quasi-bicentennial variations of the total solar irradiance (TSI). The TSI decline phase started around 1990. The onset of the Grand minimum phase of the TSI quasi-bicentennial cycle of the Maunder type is predicted in the 27th ±1 cycle in 2043±11. Long period of deficiency of absorbed solar energy since about 1990 was not compensated by a decrease in the Earth’s thermal energy emitted into space, since it does not have time to cool down due to thermal inertia, and it continues to radiate heat in the same high volumes. Solar cooling has started. As a result, the Earth has, and will continue to have, a long negative energy balance, which will ensure a slight decrease in temperature. However, this slight decrease in temperature is extremely important as a trigger mechanism for the subsequent chain effects of secondary causal effects of feedback that will greatly enhance the cooling. This will certainly lead to the onset of a phase of deep cooling of the climate approximately in the year 2070±11. The temperature is always cooler (with some time delay) in the during long-term periods of TSI decline phase of the TSI quasi-bicentennial cycle and warmer in the during periods of its growth phase. The climate sensitivity to the atmospheric carbon dioxide abundance, due to the significant overlap of the spectral absorption bands of the water vapor and carbon dioxide, decreases as a result of a significant increase in the concentration of water vapor directly in the near-surface layer of the troposphere during warming. The impact of a long-term cloud coverage growth on climate change is also virtually nonexistent.
Abstract: The climate system depends at an extremely complex set of long-term (about 30 years or more) physical processes in the ocean-land-atmosphere systems, which, in turn, are influenced mainly quasi-bicentennial variations of the total solar irradiance (TSI). The TSI decline phase started around 1990. The onset of the Grand minimum phase of the TSI quas...
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Correcting an Error in Some Interpretations of Atmospheric 14C Data
Issue:
Volume 9, Issue 4, August 2020
Pages:
126-129
Received:
5 July 2020
Accepted:
4 August 2020
Published:
13 August 2020
Abstract: The variable “∆14C”, commonly used in radiocarbon dating and tracing applications to quantify 14C levels, is a measure of the ratio of the radioisotope 14C to other carbon in a sample. After atmospheric nuclear testing in the 1950’s and 1960’s nearly doubled atmospheric 14C, the later evolution of ∆14C allowed insights into the dynamics of carbon exchange between the atmosphere and terrestrial and marine sinks. But a few authors without backgrounds in isotope measurements have confused ∆14C with excess 14C concentration. They erroneously interpret the present recovery of ∆14C to near its pre bomb test value as evidence that atmospheric 14C concentration has returned to its earlier value. From this they reach further incorrect conclusions about the fate of anthropogenic CO2 introduced into the atmosphere by fossil fuel burning. An estimate of the true time dependence of atmospheric 14C concentration over the past century, calculated from averaged atmospheric ∆14C and CO2 data is presented. The data show that 14C concentrations remain over 30% above 1950 values, and have begun to increase, even as ∆14C continues to fall. This confirms the prediction of a conventional model of the carbon cycle. The unconventional models of carbon dynamics motivated by the mistake, on the other hand, are excluded by the properly interpreted 14C data.
Abstract: The variable “∆14C”, commonly used in radiocarbon dating and tracing applications to quantify 14C levels, is a measure of the ratio of the radioisotope 14C to other carbon in a sample. After atmospheric nuclear testing in the 1950’s and 1960’s nearly doubled atmospheric 14C, the later evolution of ∆14C allowed insights into the dynamics of carbon e...
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Surface and Crustal Study Based on Digital Elevation Modeling and 2-D Gravity Forward Modeling in Thandiani to Boi Areas of Hazara Region, Pakistan
Umair Khan,
Fawad Khan,
Tahirinandraina Prudence Rabemaharitra,
Malik Arsalan,
Osama Abdulrahim,
Inayat Ur Rahman
Issue:
Volume 9, Issue 4, August 2020
Pages:
130-142
Received:
25 July 2020
Accepted:
10 August 2020
Published:
19 August 2020
Abstract: Gravity data indicates that there is a regular relation between crustal structure, crustal density (composition), and surface ascension. In order to delineate surface and subsurface geological structure features, and to calculate the thickness variation of the crust and sedimentary/metasedimentary wedges, integrated approach of Geographic Information System (GIS) i.e. digital elevation models (DEMs) and two-dimensional forward modeling of gravity data were utilized, which provide the best results for the primary objectives. Tectonically, the study area lies in the Lesser Himalayas as well as to an extent in the sub-Himalaya, more concretely in the western limb of Hazara Kashmir Syntaxis. Topographic data was accumulated in XYZ coordinates utilizing point heights method, and DEMs generation, manipulation, interpretation, and visualization process were directed to surfer-15 and ArcGIS software. Determinately the visualization of surface geological structure in the form of DEMs were proposed. The gravity stations in single contour mode have been quantified by using Scintrex CG-5 gravity meter. The collected gravity data was processed by standardizing corrections, two-dimensional forward modeling along with gravity profile were utilized and bouguer anomaly map and gravity model was computed utilizing bouguer density of 2.4 g/cm3, where the subsurface structures are demarcated by the bouguer anomaly and gravity model. In summary this research has allowed the validation of surface and subsurface geological structure visualization. Digital elevation models provide a defensive prediction of the geological structure of the regional surface. The gravity model demarcated a series of stratigraphic units with density boundaries within the basement. The gravity model also suggests that the thickness of sedimentary/metasedimentary wedge in Thandiani area is 11.48 km and in Boi area, the thickness elongates to about 14.43 km. The total thickness of crust in Thandiani and Boi area is 49.53 km and 52.43 km respectively.
Abstract: Gravity data indicates that there is a regular relation between crustal structure, crustal density (composition), and surface ascension. In order to delineate surface and subsurface geological structure features, and to calculate the thickness variation of the crust and sedimentary/metasedimentary wedges, integrated approach of Geographic Informati...
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