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La variabilité des nuages et son rôle sur le climat en Europe : télédétection et simulation régionale

Abstract : We characterize the seasonal and inter-annual variabilities of the clouds fraction profiles in both observations and simulation since they are critical to better assess the impact of clouds on climate variability. The spaceborne lidar onboard CALIPSO, providing cloud vertical profiles since 2006, is used together with a 23-year WRF simulation at 20 km resolution. A lidar simulator helps to compare consistently model with observations. The bias in observations due to the satellite under-sampling is first estimated. Then we examine the vertical variability of both occurrence and properties of clouds. It results that observations indicate a similar occurrence of low and high clouds over continent, and more high than low clouds over the sea except in summer. The simulation shows an overestimate (underestimate) of high (low) clouds comparing to observations, especially in summer. However the seasonal variability of the cloud vertical profiles is well captured by WRF. Concerning inter-annual variability, observations show that in winter, it is twice more important for high clouds than for low clouds, which is well simulated. In summer, the observed inter-annual variability is vertically more homogeneous while the model still simulates more variability for high clouds than for low clouds. The good behavior of the simulation in winter allows us to use the 23 years of simulation and 8 years of observations to estimate the time period required to characterize the natural variability of the cloud fraction profile in winter, i.e the time period required to detect significant anomalies and trends.
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Submitted on : Monday, October 2, 2017 - 1:09:57 AM
Last modification on : Tuesday, November 16, 2021 - 5:21:24 AM


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  • HAL Id : tel-01599247, version 1


Meriem Chakroun. La variabilité des nuages et son rôle sur le climat en Europe : télédétection et simulation régionale. Océan, Atmosphère. Université Paris Saclay (COmUE), 2016. Français. ⟨NNT : 2016SACLV067⟩. ⟨tel-01599247⟩



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