Intercomparison of satellite- and ground-based cloud fraction over Switzerland (2000-2012)

被引:27
作者
Fontana, Fabio [1 ]
Lugrin, David [1 ]
Seiz, Gabriela [1 ]
Meier, Marion [1 ]
Foppa, Nando [1 ]
机构
[1] Fed Off Meteorol & Climatol MeteoSwiss, Swiss GCOS Off, Zurich, Switzerland
关键词
MODIS; Terra; Aqua; Synop; Cloud fraction; Satellite; GCOS; Switzerland; Climatology; CLIMATOLOGY; MODIS;
D O I
10.1016/j.atmosres.2013.01.013
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Satellite data provide the opportunity for systematic and continuous observation of cloud cover over large spatial scales. In this paper, we describe the generation of two new high spatial resolution (0.05 degrees) daytime cloud fraction data sets over Switzerland. The data sets are based on the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) cloud mask products. The data sets cover the period from March 1, 2000 to February 29, 2012 (Terra/MODIS) and July 1, 2002 to February 29, 2012 (Aqua/MODIS) and represent mid-morning and early-afternoon cloud cover over Switzerland. Time series clearly reflected seasonal variations in cloud fraction over Switzerland. A comparison with cloud fraction observations at four Synop stations (Chur, Locarno/Monti, Payerne, Zurich/Kloten) revealed an agreement of monthly mean mid-morning cloud fraction (MMCF) within +/- 1 octa (i.e., 12.5%). Relative to Synop observations, MMCF was positively biased by 0.3-5.0%, except at Payeme (-2.5%). Linear correlation coefficients ranged from 0.878 to 0.972. Results were similar for monthly mean early-afternoon cloud fraction (MACF). Cloud fraction was found to be higher in the early-afternoon when compared to mid-morning, except at Payerne and Zurich/Kloten in fall, which is explained by typical daytime cloud cover patterns in Switzerland. Analysis of daily mid-morning cloud fraction showed that largest discrepancies were observed in partly cloudy conditions, which is mainly explained by differences in observation times and observation geometry. Our results demonstrate that the newly processed cloud fraction data sets from the MODIS sensor can play an important role in complementing traditional Synop observations in support of systematic cloud cover monitoring within the National Climate Observing System (GCOS Switzerland). (c) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 50 条
[41]   Satellite and ground-based monitoring of smoke in the atmosphere during the summer wildfires in European Russia in 2010 and Siberia in 2012 [J].
Gorchakov, G. I. ;
Sitnov, S. A. ;
Sviridenkov, M. A. ;
Semoutnikova, E. G. ;
Emilenko, A. S. ;
Isakov, A. A. ;
Kopeikin, V. M. ;
Karpov, A. V. ;
Gorchakova, I. A. ;
Verichev, K. S. ;
Kurbatov, G. A. ;
Ponomareva, T. Ya. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (15) :5698-5721
[42]   Near-continual ground-based nighttime observations of thermospheric neutral winds and temperatures over equatorial Brazil from 2009 to 2012 [J].
Makela, Jonathan J. ;
Fisher, Daniel J. ;
Meriwether, John W. ;
Buriti, Ricardo A. ;
Medeiros, Amauri F. .
JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2013, 103 :94-102
[43]   Estimating ground-level PM10 using satellite remote sensing and ground-based meteorological measurements over Tehran [J].
Saeed Sotoudeheian ;
Mohammad Arhami .
Journal of Environmental Health Science and Engineering, 12
[44]   Summertime Continental Shallow Cumulus Cloud Detection Using GOES-16 Satellite and Ground-Based Ceilometer at North Alabama [J].
Tian, Jingjing ;
Zhang, Yunyan ;
Knupp, Kevin ;
Pangle, Preston ;
Comstock, Jennifer .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2024, 129 (24)
[45]   Validation of estimated cloud fraction from MERRA-2 and AIRS data using ground based observation over IAO, Hanle [J].
Ningombam, Shantikumar S. ;
Narendra, Aditya ;
Bhatt, B. C. ;
Prabhu, T. P. ;
Anupama, G. C. ;
Angchuk, Dorje ;
Jorphail, Sonam .
ADVANCES IN SPACE RESEARCH, 2020, 66 (04) :826-843
[46]   Optical exploration of biomass burning aerosols over a high-altitude station by combining ground-based and satellite data [J].
Vijayakumar, K. ;
Devara, P. C. S. .
JOURNAL OF AEROSOL SCIENCE, 2014, 72 :1-13
[47]   Study of Persistent Foggy-Hazy Composite Pollution in Winter over Huainan Through Ground-Based and Satellite Measurements [J].
Fu, Songlin ;
Xie, Chenbo ;
Zhuang, Peng ;
Tian, Xiaomin ;
Zhang, Zhanye ;
Wang, Bangxin ;
Liu, Dong .
ATMOSPHERE, 2019, 10 (11)
[48]   Aerosol Measurements over India: Comparison of MAX-DOAS Measurements with Ground-based (AERONET) and Satellite-based (MODIS) Data [J].
Mali, Prithviraj ;
Biswas, Mriganka Sekhar ;
Beirle, Steffen ;
Wagner, Thomas ;
Hulswar, Shrivardhan ;
Inamdar, Swaleha ;
Mahajan, Anoop S. .
AEROSOL AND AIR QUALITY RESEARCH, 2024, 24 (07)
[49]   Comparison of TRMM multi-satellite precipitation analysis (TMPA) estimation with ground-based precipitation data over Maharashtra, India [J].
Singh, T. P. ;
Kumbhar, Vidya ;
Das, Sandipan ;
Deshpande, Mangesh M. ;
Dhoka, Komal .
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2020, 22 (06) :5539-5552
[50]   A Synergistic Analysis of Cloud Cover and Vertical Distribution from A-Train and Ground-Based Sensors over the High Arctic Station Eureka from 2006 to 2010 [J].
Blanchard, Yann ;
Pelon, Jacques ;
Eloranta, Edwin W. ;
Moran, Kenneth P. ;
Delanoe, Julien ;
Seze, Genevieve .
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2014, 53 (11) :2553-2570