混合相雲の観測上の制約は,より高い気候感受性を意味しています
Ivy Tan1, Trude Storelvmo2, Mark D Zelinka3
1Department of Geology and Geophysics, Yale University, New Haven, CT 06511, USA. ivy.tan@yale.edu.
まとめ
混合相雲を正確にシミュレートすると,グローバル気候感度 (ECS) の推定値が増加します. これは,より暖かい気候における雲の氷化が遅いことに関連した弱まった雲相フィードバックによるものです.
科学分野:
- 気候科学
- 大気物理学
- 雲の微物理
背景:
- グローバル気候モデル (GCM) は,CO2が2.0°Cから4.6°Cの間に倍増した場合の均衡気候感度 (ECS) を推定しています.
- 雲はこれらのECS予測の主要な不確実性の源です.
- 混合相雲は 氷の結晶と 超冷却液滴を含んでおり 気候フィードバックに 重要な役割を果たします
研究 の 目的:
- ECSの見積もりに対する現実的な混合段階のクラウド表現の影響を調査する.
- 気候感受性に対する雲相フィードバックの影響を定量化する.
主な方法:
- 混合相雲の地球衛星観測を用いた GCM シミュレーションの制限
- 雲の結氷率と気候の感受性の関係を分析する
主要な成果:
- 衛星による混相雲によるシミュレーションでは,ECSの推定値は最大1.3°C上昇した.
- 高いECSは弱まったクラウドフェーズフィードバックに関連しています.
- 暖かい気候における雲の結氷率の低下は,フィードバックの弱まりに寄与する.
結論:
- 混合相雲における超冷却液体の正確な表現は,GCMにとって極めて重要です.
- クラウド・フェーズ・フィードバックはECSに大きな影響を及ぼし,さらなる調査が必要である.
- 衛星による制約により,気候感受性予測の信頼性が向上します.
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