最近の気候観測を用いて,気候システム特性の不確実性を定量化する
Chris E Forest1, Peter H Stone, Andrei P Sokolov
1Joint Program on the Science Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
まとめ
この研究では,気候システムの重要な不確実性を定量化しています. 気候感受性は1.4〜7.7Kと推定され,エアロゾールフォッシングは -0.30〜-0.95W/m2で,以前の評価を改善しています.
科学分野:
- 気候科学 気候科学
- 気候モデリング
- 大気科学 大気科学
背景:
- 気候感受性やエアロゾール強制力などの主要な気候システム特性については,依然として不確実である.
- IPCCの第3次評価報告書のような以前の評価では,これらのパラメータに対して,幅広い不確実性範囲を提供していた.
研究 の 目的:
- 決定的な不確実な気候システム特性の共同確率密度分布を導出する.
- 観測データと気候モデルのシミュレーションを使用して,気候感受性を制限し,エアロゾールの純強制を制限します.
主な方法:
- 気候モデルの出力を観測データと比較するために最適な指紋アプローチを採用しました.
- 最近の気候観測の3つの異なる診断を用いた.
- 信頼区間を確立するために,限界確率分布を導出しました.
主要な成果:
- 気候感受性 (1.47.7 K) と純エアロゾールフォッシング (-0.30〜-0.95 W/m2) について,信頼区間5~95%を確立した.
- 海洋の熱吸収は十分に抑制されていませんでした.
- 海洋温度の観測は,気候の感受性を制限するのに大きく役立ちました.
結論:
- 純エアロゾールフォッシングの不確実性は,間接エアロゾールフォッシングの以前報告された範囲よりもかなり小さい.
- 海洋温度のデータは,気候感受性の推定を精製する上で重要な役割を果たします.
- この研究により,重要な気候パラメータの定量的な制約が改善されました.
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