CO2強制による国家依存とその気候感受性への影響
Haozhe He1, Ryan J Kramer2,3, Brian J Soden1
1Rosenstiel School of Marine, Atmospheric and Earth Science, University of Miami, Miami, FL, USA.
まとめ
二酸化炭素 (CO2) の倍増による瞬時の放射力強制は恒定ではない. 気候の基本状態,特に平流層の冷却への依存は,気候の感度とモデル不一致に影響します.
科学分野:
- 気候科学
- 大気物理学
- 放射性移転
背景:
- 現在の気候モデルでは,CO2の倍増に対して恒常的な瞬時の放射力 (IRF) を想定しています.
- 気候感受性の変動は,放射性フィードバックと,その基礎状態依存性によるものである.
研究 の 目的:
- 恒常 IRF の仮定を検証する.
- IRFと気候感受性に対するベース状態依存の影響を決定する.
- 気候感受性におけるモデル間広がりを説明する.
主な方法:
- 放射線強制計算の分析
- 気候モデルの出力の検討
- IRFに対するベース状態の影響の評価
主要な成果:
- IRFは常数ではなく,気候の基本状態に依存する.
- IRFは二酸化炭素の倍増ごとに約25%増加します.
- ストラトスフィアの冷却により,IRFは工業化以前の時代から ~10%上昇しました.
- ベースステート依存は,IRFのインターモデルスプレッドの ~ 50% を説明します.
結論:
- IRFの不定性は,既存の気候感受性仮定に異議を唱える.
- ストラトスフィアの冷却は,IRFと気候感受性に影響を与える重要な要因です.
- 気候モデルの不確実性を減らすには 基礎状態依存の解決が不可欠です
関連する概念動画
Global Climate Change
24.4K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
24.4K
Chemical Factors Affecting Respiration Centers
1.1K
Chemical factors such as changing CO2, O2, and H+ levels in arterial blood play a critical role in influencing respiration depth and rates. These variations are detected by chemoreceptors—specialized sensors located in two primary body areas. Central chemoreceptors are found throughout the brain stem, including the ventrolateral medulla, while peripheral chemoreceptors are located in the aortic arch and carotid arteries.
CO2 has a potent influence on respiration and is strictly regulated....
CO2 has a potent influence on respiration and is strictly regulated....
1.1K
Phase Diagrams
41.1K
A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
41.1K
What is Climate?
18.6K
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
18.6K
Calculating and Interpreting the Linear Correlation Coefficient
6.0K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable, x, and the dependent variable, y. Hence, it is also known as the Pearson product-moment correlation coefficient. It can be calculated using the following equation:
6.0K
Regression Analysis
5.7K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
5.7K


