Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-016-3037-3 |
Characterization of vertical cloud variability over Europe using spatial lidar observations and regional simulation | |
Chakroun, M.1; Bastin, S.1; Chiriaco, M.1; Chepfer, H.2 | |
2018-08-01 | |
发表期刊 | CLIMATE DYNAMICS
![]() |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2018 |
卷号 | 51期号:3页码:813-835 |
文章类型 | Article |
语种 | 英语 |
国家 | France |
英文摘要 | In this paper we characterize the seasonal and inter-annual variabilities of cloud 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 cloud vertical profiles is well captured by WRF. Concerning inter-annual variability, observations show that in winter, those of high clouds is twice the low clouds one, an order of magnitude that is 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. |
英文关键词 | Lidar Clouds Simulation Europe Natural variability |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000439141800004 |
WOS关键词 | MEDITERRANEAN REGION ; NORTH-ATLANTIC ; MODEL SIMULATIONS ; DATA ASSIMILATION ; MESOSCALE MODEL ; CLIMATE-CHANGE ; TIME ; PARAMETERIZATION ; TEMPERATURE ; PRECIPITATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/35316 |
专题 | 气候变化 |
作者单位 | 1.UPMC Univ Paris 06, UVSQ Univ Paris Saclay, CNRS, LATMOS,IPSL, Guyancourt, France; 2.Univ Paris 06, CNRS, IPSL, Lab Meteorol Dynam, Paris, France |
推荐引用方式 GB/T 7714 | Chakroun, M.,Bastin, S.,Chiriaco, M.,et al. Characterization of vertical cloud variability over Europe using spatial lidar observations and regional simulation[J]. CLIMATE DYNAMICS,2018,51(3):813-835. |
APA | Chakroun, M.,Bastin, S.,Chiriaco, M.,&Chepfer, H..(2018).Characterization of vertical cloud variability over Europe using spatial lidar observations and regional simulation.CLIMATE DYNAMICS,51(3),813-835. |
MLA | Chakroun, M.,et al."Characterization of vertical cloud variability over Europe using spatial lidar observations and regional simulation".CLIMATE DYNAMICS 51.3(2018):813-835. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论