Please wait a minute...
ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2012, Vol. 13 Issue (9): 717-722    DOI: 10.1631/jzus.A1100292
Energy Engineering     
An improved technique for global daily sunshine duration estimation using satellite imagery
Muhammad Ali Shamim, Renji Remesan, Da-wei Han, Naeem Ejaz, Ayub Elahi
Department of Civil Engineering, University of Engineering and Technology, Taxila 47050, Pakistan; Department of Geography, University of Hull, HU6 7RX, UK; Department of Civil Engineering, University of Bristol, BS8 1TR, UK
Download:     PDF (0 KB)     
Export: BibTeX | EndNote (RIS)      

Abstract  This paper presents an improved model for global sunshine duration estimation. The methodology incorporates geostationary satellite images by including snow cover information, sun and satellite angles and a trend correction factor for seasons, for the determination of cloud cover index. The effectiveness of the proposed methodology has been tested using Meteosat geostationary satellite images in the visible band with a temporal resolution of 1 h and spatial resolution of 2.5 km×2.5 km, for the Brue Catchment in the southwest of England. Validation results show a significant improvement in the estimation of global sunshine duration by the proposed method as compared to its predecessor (R2 is improved from 0.68 to 0.83, root mean squared error (RMSE) from 2.37 h/d to 1.19 h/d and the mean biased error (MBE) from 0.21 h/d to 0.08 h/d). Further studies are needed to test this method in other parts of the world with different climate and geographical conditions.

Key words： Sunshine duration      Geostationary satellite      Evapotranspiration      Solar radiation      Remote sensing     
Received: 28 October 2011      Published: 30 August 2012
CLC:  TP79  
  TK51  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Muhammad Ali Shamim
Naeem Ejaz
Renji Remesan
Da-wei Han
Ayub Elahi
Cite this article:

Muhammad Ali Shamim, Renji Remesan, Da-wei Han, Naeem Ejaz, Ayub Elahi. An improved technique for global daily sunshine duration estimation using satellite imagery. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2012, 13(9): 717-722.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A1100292     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2012/V13/I9/717

[1] Shan-long Lu, Le-jun Zou, Xiao-hua Shen, Wen-yuan Wu, Wei Zhang. Multi-spectral remote sensing image enhancement method based on PCA and IHS transformations[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2011, 12(6): 453-460.
[2] Hao-ying HAN, Shih-Kung LAI, An-rong DANG, Zong-bo TAN, Ci-fang WU. Effectiveness of urban construction boundaries in Beijing: an assessment[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(9): 1285-1295.
[3] Hua-sheng SUN, Jing-feng HUANG, Alfredo R. HUETE, Dai-liang PENG, Feng ZHANG. Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(10): 1509-1522.
[4] Pezhman ROUDGARMI, Masoud MONAVARI, Jahangir FEGHHI, Jafar NOURI, Nematollah KHORASANI. Environmental impact prediction using remote sensing images[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(3): 381-390.
[5] YANG Xiao-hua, HUANG Jing-feng, WANG Jian-wen, WANG Xiu-zhen, LIU Zhan-yu. Estimation of vegetation biophysical parameters by remote sensing using radial basis function neural network[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(6): 883-895.
[6] KUMARAYAPA Ajith, ZHANG Ye. More efficient ground truth ROI image coding technique: implementation and wavelet based application analysis[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(6): 835-840.
[7] Lu Shan-long, Shen Xiao-hua, Zou Le-jun. Land cover change in Ningbo and its surrounding area of Zhejiang Province, 1987~2000[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(4 ): 24-.
[8] HUANG Jing-feng, TANG Shu-chuan, Ousama Abou-Ismail, WANG Ren-chao. Rice yield estimation using remote sensing and simulation model[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2002, 3(4): 461-466.