Quality assessment of Automated Weather Station (AWS) data for abrupt weather changing during cyclone Roanu
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    Abstract:

    Meteorological time-series observations from the Automated Weather Station (AWS) located at 5.936 108°N,80.574 900°E south of Sri Lanka were used to quantify the variability in boundary layer from Dec 2015 to Oct 2016.The observations show the fluctuation of wind,temperature,pressure,relative humidity,precipitation,and downward shortwave radiation,accompanied by monsoon reversing over the northern Indian Ocean during this period of time.The episodic event has been noted by the low air pressure,high relative humidity,high precipitation and reduction of downward radiation during the passage of cyclone Roanu in May 2016.The event is characterized by the rapid increase in temperature,relative humidity,precipitation and wind speed followed by the decline of temperature and precipitation,and the abrupt decrease then dramatic increase in pressure and downward shortwave radiation.The reason behind these fluctuations is investigated using the dataset from AWS during May 2016.The analysis shows that AWS recorded pre-cyclone conditions which start to respond since 13th May,2016.The AWS also recorded post-cyclone conditions which are illustrated by reduction of downward radiation and precipitations after 28th May,2016.These signals are evident for the sustainability of AWS to the cyclone conditions.This study suggests that AWS dataset can be used for weather assessment in southern Sri Lanka region and analysis of air-sea relation phenomena in the southern coastal region.Furthermore,AWS can be used as in situ data source for model validation and parameterization.

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Charith Madusanka WIDANAGE, WANG Dongxiao, ZHOU Fenghua, Tilak P. D. GAMAGE, WANG Shengan, WICKRAMAGE C. H., GEEGANA GAMAGE G. R. G.,LI Daning. Quality assessment of Automated Weather Station (AWS) data for abrupt weather changing during cyclone Roanu[J]. Journal of Nanjing University of Information Science & Technology,2018,10(3):324-333

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  • Received:April 23,2018
  • Online: July 25,2018
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