The Actuality and Progress of Whole Sky Cloud Sounding Techniques

Gao Taichang; Liu Lei; Zhao Shi jun; Sun Xuejin; Liu Jian

Vol.21, NO.1, 2010

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Article Navigation > Journal of Applied Meteorological Science > 2010 > 21(1): 101-109

Gao Taichang, Liu Lei, Zhao Shi jun, et al. The actuality and progress of whole sky cloud sounding techniques. J Appl Meteor Sci, 2010, 21(1): 101-109.

Citation:

Gao Taichang, Liu Lei, Zhao Shi jun, et al. The actuality and progress of whole sky cloud sounding techniques. J Appl Meteor Sci, 2010, 21(1): 101-109.

Gao Taichang, Liu Lei, Zhao Shi jun, et al. The actuality and progress of whole sky cloud sounding techniques. J Appl Meteor Sci, 2010, 21(1): 101-109.

Citation:

Gao Taichang, Liu Lei, Zhao Shi jun, et al. The actuality and progress of whole sky cloud sounding techniques. J Appl Meteor Sci, 2010, 21(1): 101-109.

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The Actuality and Progress of Whole Sky Cloud Sounding Techniques

1.
Institute of Meteorology, PLA University of Science & Technology, Nanjing 211101
2.
School of Physics, Peking University, Beijing 100871
3.
68028 Troops of PLA, Lanzhou 730058

Received Date: 2008-12-23
Rev Recd Date: 2009-07-23
Publish Date: 2010-02-28

Abstract

Abstract

Clouds are regular and important weather phenomenon which play important role on the earth's radiation budget and climate change. The shape, size, distribution and movement of them indicate the condition of the atmosphere, thus cloud observ ation is important. Clouds can be observed by means of both satellites and ground based instruments. Satellite cloud images provide global coverage data which are used widely in weather forecast. Ground based cloud images are very localones which contain more details. Ground based cloud sounding instruments have not been put into actual operations by far though. Some cloud base height measurem ents such as ceilometers and the newer laser beam ceilometers are developed in order to determine local cloud base height, however cloud coverage and typology are still determined with a subjective aspect by human observers.In recent years, a number of ground based sky imagers have been developed due to the improvements in both hardware and digital image processing techniques. Many well known instruments are developed and used for cloud coverage estima tion and scientific experiments. For example, the all sky imager (ASI), total sk y imager (TSI) and whole sky camera (WSC) measure visible skylight from the entire sky dome during daytime, while the whole sky imager (WSI) provides hemispheri cal coverage with different detection techniques during day and night. The WSI has approximately 70 nm wide imaging bands centered at 450, 650 nm and 800 nm, ide ntifying clouds from red/blue ratios during the day and from star maps at night (with gaps in operation near sunrise and sunset).The infrared cloud imager (ICI) and the Whole Sky Infrared Cloud Measuring System (WSIRCMS) are ground based passive sensors that measures downwelling atmospheric radiance in the 8—14 μm wave length band. These two instruments can identify clouds and calculate cloud am ount continuously with accordant sensitivity during day and night. Some key techniques are analyzed, such as obtaining whole sky images, camera lens protection, cloud detection, cloud coverage calculation, cloud base height calculation and cloud type classification etc. It shows that, visible light based apparatus can hardly be applied in actual operation because they can't work well during night. The WSI can provide data at night, but the consistency can't turn up trumps because of the algorithmic difference during day and night. Images from cloud infrared radiometers have bad spatial resolution which goes aga inst cloud classification. Sensors using infrared detector array can work with no difference in sensitivity during day and night and have good spatial resolution, but needs improving in stability. Fully considering whole sky cloud sounding theories, techniques and applications, there are still a lot of problems before these instruments to be used in actual operations. Their performance should be more firmness. The whole sky cloud base height should be lucubrated. The instrume ntal cloud form classification principle should be proposed to classify cloud with ground based instruments.
- cloud;
- whole sky;
- cloud sounding techniques

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References(53)

References

[1]	林哗.大气探测学教程.北京:气象出版社, 1993.
[2]	翁笃呜, 韩爱梅.我国卫星总云量与地面总云量分布的对比分析, 应用气象学报.1998, 9(1):32-37. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19980105&flag=1
[3]	Bradbury D L, Fujita T.Computation of Height and Velocity of Clouds from Dual, Whole-sky, Time-lapse Picture Sequenees.Satellite and Mesometeorology Research Project (SMRP), 1968.
[4]	Gardiner B G, Kirsch P J.Setting Standards for European Ultraviolet Spectroradiometers.EC Air Pollution Report No.53, Commission of European Communities, Luxembourg, 1995 :138.
[5]	Long C N, Slater D W, Tooman T.Total Sky Imager Model 880 Status and Testing Results.ARM Technical Report ARM TR-006, US Department of Energy, Washington DC, 2001.
[6]	Cazorla A, Olmo F J.Alados-Arboledas L, Development of a sky imager for cloud cover assessment.Journal of the Optical Society of America, 2008, 25(1):29-39. doi: 10.1364/JOSAA.25.000029
[7]	霍娟, 吕达仁.全天空数字相机观测云量的初步研究.南京气象学院学报, 2002, 25(2):242-246. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX200202014.htm
[8]	Shields J E, Karr M E, Tooman T P, et al.The Whole Sky imager-A Year of Progress, Tucson.Arizona, 1998.
[9]	Gaumet J L, Renoux N.Cloud Cover Observations Using an IR Sensor.Phoenix, AZ, 1998 :161-164.
[10]	Genkova I, Long C N, Besnard T, et al.Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Radiometer CIR-7∥Proceedings of S PIE.2004, 4482 :341-349.
[11]	Besnard T, Gillotay D, Berger L.Ground Based Sky Dome Pictures Generated By Infrared Spectrometric Data ∥Proceedings of SMOI Conf erence.Long Beach, CA, USA, 2003.
[12]	Shaw J A, Thurairajah B.Short-Term Arctic Cloud Statistics at NSA from the Infrared Cloud Imager∥Proceedings of the Thirt eenth ARM Science Team Meeting.Broomfield, CO, 2003
[13]	Shaw J A, Thurairajah B, Edqvist E, et al.Infrared Cloud Imager Deployment at the North Slope of Alaska During Early 2002. 12th ARM Science Team Meeting, Washington, DC, 2002.
[14]	Thurairajah B, Shaw J A.Infrared Cloud Imager Measurements of Cloud Statistics from the 2003 Cloudiness Intercomparison Campaign∥Proceedings of the Fourteenth ARM Science Team Meeting.Albu querque, New Mexico, 2004.
[15]	Thurairajah B.Thermal Infrared Imaging of the Atmosphere:The Infrared Cloud Imager, Elect Comput Eng Dept.Montana State Univ, Bozeman, 2004.
[16]	Smith S, Toumi R.Measuring cloud cover and brightness temperature with a ground-based thermal infrared camera.J Appl Meteorol Climatol, 2008, 47(2):683-693. doi: 10.1175/2007JAMC1615.1
[17]	孙学金, 高太长, 翟东力, 等.基于非制冷红外焦平面阵列的全天空红外测云系统.红外与激光工程, 2008, 37(5):761-764. http://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ200805006.htm
[18]	孙晓钢, 孙学金, 牛珍聪, 等.全天空云图获取的一种方式及算法实现.气象科学, 2008, 28(3):338-341. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKX200803016.htm
[19]	Long C N, Sabburg J M, Calbo J, et al.Retrieving cloud characteristics from ground-based daytime color all-sky images.Journal of Atmospheric and Oceanic Technology, 2006, 23(5):633-652. doi: 10.1175/JTECH1875.1
[20]	Tooman T P.Whole Sky Imager Retrieval Guide.ARM TR-011.1, 2003.
[21]	Shields J E, Johnson R W, Karr M E, et al.Daylight Visible/NIR Whole-sky Imagers for Cloud and Radiance Monitoring in Support of UV Research Programs∥ Proc SPIE.2003, 5156 :155-166.
[22]	Yamashita M, Yoshimura M, Nakashizuka T.Cloud Cover Estimation Using Multitemporal Hemisphere ImageriesProc 7th Congress of the International Society for Photogrammetry and Remote Sensing (IS PRS04). Istanbul Turky, 2004 :818-821.
[23]	Souza-Echer M P, Pereir A E B, Bins L S, et al.A simple method for the assessment of the cloud cover state in highlatitude regions by a ground-based digital camera.J Atmos Ocean Technol, 2006, 23(3):437-447. doi: 10.1175/JTECH1833.1
[24]	Linfoot A, Alliss R J.A Cloud Detection Algorithm Applied to a Whole Sky Imager Instrument Using Neural Networks, New 0rleans, LA, 2008.
[25]	Shaw J A.Thurairajah B, Statistics of Alaskan clouds from the infrared cloud imager (ICI)∥Proc SPIE Conf Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research.San Diego, C A, 2003 :1-6.
[26]	Thurairajah B, Shaw J A.Cloud statistics measured with the infrared cloud imager (ICI).IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(9):2000-2007. doi: 10.1109/TGRS.2005.853716
[27]	Sabburg J M, Long C N.Improved sky imaging for studies of enhanced UV irradiance.Atmospheric Chemistry and Physics, 2004, 4 :6213-6238.
[28]	谭涌波, 陶善昌, 吕伟涛, 等.双站数字摄像测量云高.应用气象学报, 2005, 16(5):629-637. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20050581&flag=1
[29]	Seiz G, Balt savias E P, Gruen A.Cloud mapping from the ground :Use of photogrammetric methods.PhotogrammEng Remote Sens, 2002, 68(9):941-951. http://www.academia.edu/12775164/Cloud_Mapping_from_the_Ground_Use_of_Photogrammetric_Methods
[30]	Kassianov E, Long C N, Christy J.Cloud-base-height estimation from paired ground-based hemispherical observations.Journal of Applied Meteorology, 2005, 44(8):1221-1233. doi: 10.1175/JAM2277.1
[31]	章文星, 吕达仁, 常有礼.地基热红外亮温遥感云底高度可行性的模拟研究.地球物理学报, 2007, 50(2):354-363. http://www.cnki.com.cn/Article/CJFDTOTAL-DQWX200702003.htm
[32]	Buch J K A, Sun C H.Cloud Classification Using Whole-sky Imager Data.9th S ymposium on Meteorological Observations and Instrumentation.Charlotte, North Carolina, 1995 :353-358.
[33]	Peura M, Visa A, Kostamo P.A New Approach to Landbased Cloud Classification∥Proceedings of the Thirteenth International Conference on Pattern Recognition (IC PR' 96).Vienna, Austria, 1996, 4 :143-147.
[34]	Singh M, Glennen M.Automated ground-based cloud recognition.Pattern Analysis & Applications, 2005, 8(3):258-271.
[35]	Calbo J, Sabburg J.Feature extraction from whole-sky groundbased images for cloud-type recognition.J Atmos Ocean Technol, 2008, 25(1):3-14. doi: 10.1175/2007JTECHA959.1
[36]	孙学金, 刘磊, 高太长, 等.基于模糊纹理光谱的全天空红外图像云分类.应用气象学报, 2009, 20(2):157-163. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20090204&flag=1
[37]	Besnard T, Gillotay D, Zanghi F, Intercomparison of Ground Based Methods for Determination of Tropospheric Cloud Based and Cloud Cover Amplitude∥Proceedings of 11th Conferenceon Atmos pheric Radiation.Ogden, UT, USA, 2002.
[38]	Feister U, Shields J.Cloud and radiance measurements with the VIS/NIR daylight whole sky imager at Lindenberg (Germany).Meteorologische Zeitschrift, 2005, 14(5):627-639. doi: 10.1127/0941-2948/2005/0066
[39]	Besnard T, Gillotay D, Zanghi F, et al.Operational Use of Infrared Cloud Analysers in Automatic Observing Networks and for Aeronautic Applications∥Proceedings of IIPS Conference.Long Beach, CA, USA, 2003.
[40]	Pfister G, McKenzie R L.Liley J B, Cloud coverage based on all-sky imaging and its impact on surface solar irradiance.Journal of Applied Meteorology, 2003, 42 :1421-1434. doi: 10.1175/1520-0450(2003)042<1421:CCBOAI>2.0.CO;2
[41]	Smith S, Toumi R.Direct observation of cloud forcing by ground-based thermal imaging.Geophysical Research Letters, 2008, 35(7).
[42]	Musat I C, Ellingson R G.The Use of the ARM WSI to Estimate the Atmospheric Optical Depth at Night, San Antonio, Texas, USA, 2001.
[43]	Olmo F J, Cazorla A, Alados-Arboledas L, et al.Retrieval of the optical depth using an all-sky CCD camera.Applied Optics, 2008, 47(34):182-189. doi: 10.1364/AO.47.00H182
[44]	Martins F R, Souza M P, Pereira E B.Comparative study of satellite and ground techniques for cloud cover determination.Advances in Space Research, 2003, 32(11):2275-2280. doi: 10.1016/S0273-1177(03)90554-0
[45]	Riordan D, Clay R, Maghrabi A, et al.Cloud base temperature measurements using a simple longwave infrared cloud detection system.Journal of Geophysical Research-Atmos-pheres, 2005, 110(D3).
[46]	Shenk W E, Holub R J.A multispectral cloud type identification method developed for tropical ocean areas with Nimbus-3 MRIR measurements.Monthly Weather Review, 1976, 104(3):284-291 doi: 10.1175/1520-0493(1976)104<0284:AMCTIM>2.0.CO;2
[47]	Lamei N, Hutchison K D, Crawford M M, et al.Cloud-type discrimination via multispectral textural analysis.Optical Engineering, 1994, 33(4):1303-1313. doi: 10.1117/12.166920
[48]	傅德胜, 王新芝.云图纹理特征的抽取与云的自动分类.南京气象学院学报, 1995, 18(4):530-535. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX504.010.htm
[49]	Ohanian P P, Dubes R C.Performance evaluation of four classes of texture features.Pattern Recognition, 1992, 25(8):819-833. doi: 10.1016/0031-3203(92)90036-I
[50]	Lee J, Weger R C, Sengupta S K, et al.A neural network approach to cloud classification.IEEE Transactions on Geoscience and Remote Sensing, 1990, 28(5):846-855. doi: 10.1109/36.58972
[51]	Bankert R L.Cloud classification of AVHRR imagery in maritime regions using a probabilistic neural-network.J Appl Meteor, 1994, 33(8):909-918. doi: 10.1175/1520-0450(1994)033<0909:CCOAII>2.0.CO;2
[52]	师春香, 翟建华.用神经网络方法对NOAA-AVHRR资料进行云客观分类.气象学报, 2002, 60(2):250-256. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB200202016.htm
[53]	吴咏明, 张韧.多光谱卫星图象的-种模糊聚类方法.热带气象学报, 2004, 20(6):689-696. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200406008.htm

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