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- W2912494116 abstract "Abstract Observations from multiple sensors on the NASA Aqua satellite are used to estimate the temporal and spatial variability of short-term cloud responses (CR) and cloud feedbacks λ for different cloud types, with respect to the interannual variability within the A-Train era (July 2002–June 2017). Short-term cloud feedbacks by cloud type are investigated both globally and locally by three different definitions in the literature: 1) the global-mean cloud feedback parameter λ GG from regressing the global-mean cloud-induced TOA radiation anomaly Δ R G with the global-mean surface temperature change Δ T GS ; 2) the local feedback parameter λ LL from regressing the local Δ R with the local surface temperature change Δ T S ; and 3) the local feedback parameter λ GL from regressing global Δ R G with local Δ T S . Observations show significant temporal variability in the magnitudes and spatial patterns in λ GG and λ GL , whereas λ LL remains essentially time invariant for different cloud types. The global-mean net λ GG exhibits a gradual transition from negative to positive in the A-Train era due to a less negative λ GG from low clouds and an increased positive λ GG from high clouds over the warm pool region associated with the 2015/16 strong El Niño event. Strong temporal variability in λ GL is intrinsically linked to its dependence on global Δ R G , and the scaling of λ GL with surface temperature change patterns to obtain global feedback λ GG does not hold. Despite the shortness of the A-Train record, statistically robust signals can be obtained for different cloud types and regions of interest." @default.
- W2912494116 created "2019-02-21" @default.
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- W2912494116 date "2019-03-15" @default.
- W2912494116 modified "2023-10-18" @default.
- W2912494116 title "Temporal and Spatial Characteristics of Short-Term Cloud Feedback on Global and Local Interannual Climate Fluctuations from A-Train Observations" @default.
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- W2912494116 doi "https://doi.org/10.1175/jcli-d-18-0335.1" @default.
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