Data Quality Assessment and the Long-Term Trend of Ground Solar Radiation in China

Abstract Solar radiation is one of the most important factors affecting climate and the environment. Routine measurements of irradiance are valuable for climate change research because of long time series and areal coverage. In this study, a set of quality assessment (QA) algorithms is used to test the quality of daily solar global, direct, and diffuse radiation measurements taken at 122 observatories in China during 1957–2000. The QA algorithms include a physical threshold test (QA1), a global radiation sunshine duration test (QA2), and a standard deviation test applied to time series of annually averaged solar global radiation (QA3). The results show that the percentages of global, direct, and diffuse solar radiation data that fail to pass QA1 are 3.07%, 0.01%, and 2.52%, respectively; the percentages of global solar radiation data that fail to pass the QA2 and QA3 are 0.77% and 0.49%, respectively. The method implemented by the Global Energy Balance Archive is also applied to check the data quality of ...

[1]  I. Bennett,et al.  Correlation of daily insolation with daily total sky cover, opaque sky cover and percentage of possible sunshine , 1969 .

[2]  A. Ohmura,et al.  The Global Energy Balance Archive , 1999 .

[3]  Tariq Muneer,et al.  Quality control of solar radiation data: Present status and proposed new approaches , 2005 .

[4]  Gerald Stanhill,et al.  Global dimming: a review of the evidence for a widespread and significant reduction in global radiation with discussion of its probable causes and possible agricultural consequences , 2001 .

[5]  Xiangao Xia,et al.  Long-term trends in solar radiation and the associated climatic factors over China for 1961-2000 , 2005 .

[6]  Michael Geiger,et al.  A Web service for controlling the quality of measurements of global solar irradiation , 2002 .

[7]  M. Iqbal.  An introduction to solar radiation , 1983 .

[8]  L. Wald,et al.  On the clear sky model of the ESRA — European Solar Radiation Atlas — with respect to the heliosat method , 2000 .

[9]  Dale P. Kaiser,et al.  Analysis of total cloud amount over China, 1951–1994 , 1998 .

[10]  C. Long,et al.  From Dimming to Brightening: Decadal Changes in Solar Radiation at Earth's Surface , 2005, Science.

[11]  B. Qin,et al.  Analysis of 40 year records of solar radiation data in Shanghai, Nanjing and Hangzhou in Eastern China , 2004 .

[12]  Xiuji Zhou,et al.  Characteristics of atmospheric aerosol optical depth variation over China in recent 30 years , 2000 .

[13]  Tariq Muneer,et al.  Evaluation of sunshine and cloud cover based models for generating solar radiation data , 2000 .

[14]  Luo Wang,et al.  Magnetic susceptibility properties of polluted soils , 2000 .

[15]  E. Dutton,et al.  Do Satellites Detect Trends in Surface Solar Radiation? , 2004, Science.

[16]  H. H. Kimball,et al.  VARIATIONS IN THE TOTAL AND LUMINOUS SOLAR RADIATION WITH GEOGRAPHICAL POSITION IN THE UNITED STATES , 1919 .

[17]  T. Muneer.  Solar radiation and daylight models , 2004 .

[18]  X. Y. Zhang,et al.  Analysis of 40 years of solar radiation data from China, 1961–2000 , 2005 .

[19]  C. Gueymard.  The sun's total and spectral irradiance for solar energy applications and solar radiation models , 2004 .

[20]  Tariq Muneer,et al.  Quality control of solar radiation and sunshine measurements – lessons learnt from processing worldwide databases , 2002 .