Abstract

Abstract. Satellite observations (International Satellite Cloud Climatology Project (ISCCP), 1983–2009) of linear trends in cloud cover are compared to those in global precipitation (Global Precipitation Climatology Project (GPCP) pentad V2.2, 1983–2009), to investigate possible cause(s) of the linear trends in both cloud cover and precipitation. The spatial distributions of the linear trends in total cloud cover and precipitation are both characterized primarily by a broadening of the major ascending zone of Hadley circulation. Our correlation studies suggest that global warming, Atlantic Multidecadal Oscillation (AMO) and Pacific Decadal Oscillation (PDO) can explain 67 %, 49 % and 38 %, respectively, of the spatial variabilities in the linear trends in cloud cover, but causality is harder to establish. Further analysis of the broadening of the major ascending zone of Hadley circulation shows that the trend in global temperature, rather than those in AMO and PDO, is the primary contributor to the observed linear trends in total cloud cover and precipitation in 1983–2009. The underlying mechanism driving this broadening is proposed to be the moisture–convection–latent-heat feedback cycle under global warming conditions. The global analysis is extended by investigating connections between clouds and precipitation in China, based on a large number of long-running, high-quality surface weather stations in 1957–2005. This reveals a quantitative matching relationship between the reduction in light precipitation and the reduction in total cloud cover. Furthermore, our study suggests that the reduction in cloud cover in China is primarily driven by global temperature; PDO plays a secondary role, while the contribution from AMO and Niño3.4 is insignificant, consistent with the global analysis.

Highlights

  • Long-term changes in cloud cover are of great importance to the climate as well as the entire ecosystem

  • Chen et al (2019) investigated changes in clouds associated with decadal climate oscillations including the Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Oscillation (AMO) by comparing cloud cover data (1983– 2009) over the oceans from the International Satellite Cloud Climatology Project (ISCCP) (Schiffer and Rossow, 1983) with general circulation model (GCM) simulations

  • A linear combination of global temperature anomaly (GT) and AMO can explain as much as 74 % and 79 %, respectively, of the spatial variabilities of linear trends in cloud cover and precipitation

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Summary

Introduction

Long-term changes in cloud cover are of great importance to the climate as well as the entire ecosystem. In a study of changes in cloud cover observed from land stations worldwide (1971–2009), Eastman and Warren (2013) found that global average trends in cloud cover suggest a small decline in total cloud cover, on the order of 0.4 % decade−1 Their analysis of zonal cloud cover changes suggests widening tropical belt and poleward shifts of the jet streams in both hemispheres associated with global warming. Chen et al (2019) investigated changes in clouds associated with decadal climate oscillations including the Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Oscillation (AMO) by comparing cloud cover data (1983– 2009) over the oceans from the International Satellite Cloud Climatology Project (ISCCP) (Schiffer and Rossow, 1983) with general circulation model (GCM) simulations They found that the observed linear trends in cloud cover are more closely related to decadal variability (including PDO and AMO) than to warming induced by greenhouse gas (GHG).

Data and methodology
Regional trends in cloud cover and precipitation
Trends in cloud cover and precipitation from station data in China
Summary and conclusions
Full Text
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