強力なクラウド・サーキュレーション・カップリングは,貿易累積フィードバックの弱さを説明する
Raphaela Vogel1,2, Anna Lea Albright3, Jessica Vial3
1LMD/IPSL, Sorbonne Université, CNRS, Paris, France. raphaela.vogel@uni-hamburg.de.
Nature
|November 30, 2022
まとめ
地球の冷却に不可欠です 新しいEUREC4A観測は,湿度ではなく,混合の動態を示し,大きな雲の損失と高い気候感受性を予測するモデルを反証しています.
科学分野:
- 大気科学
- 気候科学
- 雲の物理
背景:
- 浅い堆積雲は,太陽の放射を反射することで,地球のエネルギーバランスに重要な役割を果たします.
- これらの雲の気候変動への反応は 気候予測に重大な不確実性をもたらします
- 既存の気候モデルは,雲の分数の変化を,低熱帯圏の混合と結びつけ,混合の増加による雲の乾燥を示唆している.
研究 の 目的:
- 新しい観測データを用いて,気候変動に対する貿易累積雲の反応を調査する.
- 混合が増加すると曇りが減るという"混合-乾燥仮説"を検証する.
- 貿易累積雲のフィードバックをシミュレートする気候モデルの信頼性を評価する.
主な方法:
- EUREC4A (気候における雲循環結合の役割を解明する) フィールドキャンペーンの観測データを活用した.
- 雲の基礎部分と 低熱層の混合と湿度の相互作用を分析した.
- 貿易累積フィードバックのモデルシミュレーションと観測結果の比較
主要な成果:
- 新しいEUREC4Aの観測は,混合乾燥仮説を否定している.
- 混合による曇りの動的増加は,湿度による熱力学的制御よりも影響力があることが判明しました.
- メソスケールの動きと 引き寄せの速度は 湿度に対して逆の影響を及ぼし 雲の乾燥を防ぐ.
- 気候モデルとEUREC4Aのデータには,混合と曇りの大きさ,変動性,結合に関する重大な不一致が見られた.
結論:
- 混合に対する相対湿度による曇りの依存を誇張するモデルは不合理とみなされる.
- この研究は,プロセススケールでの貿易累積フィードバックの弱さを裏付け,説明しています.
- これらの発見は 気候に対する高い感受性を支持する重要な証拠に 異議を唱えるものです
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