Quality Control of Meteorological Data and The Relationship Between Rainfall and Sea Surface Temperature (SST) In A Semi-Arid Region

K. Shimola*, M. Krishnaveni**
* Associate Professor, Department of Civil Engineering, Malla Reddy Engineering College (Autonomous), Secunderabad, Telangana, India.
** Professor, Centre for Water Resources, Anna University, Chennai, Tamil Nadu, India.
Periodicity:September - November'2018
DOI : https://doi.org/10.26634/jce.8.4.15665

Abstract

Studies related to climate variability and change, hydrological designs, crop planning etc., require long-term homogeneous datasets. Since homogeneous climate data is not available for climate analysis in countries like India, the present study emphases on quality control of meteorological data. Ten raingauge stations were selected for the study in Vaippar basin. This study concludes that precipitation daily time series are fairly homogeneous. Meteorological data filling was done using normal ratio method. The homogeneity and consistency check of data was carried out using visual interpretation and double mass curve analysis. Results show no suspicious values and no break in double mass curves which shows homogeneity and consistency. The relationship between monsoon rainfall and SST also suggest that not all the ENSO events were associated with drought.

Keywords

Meteorological Data, Normal Ratio Method, El Niño Southern Oscillation (ENSO) Events, Double Mass Curves, Rainfall, Temperature.

How to Cite this Article?

Shimola, K., & Krishnaveni, M. (2018). Quality Control of Meteorological Data and the Relationship Between Rainfall and Sea Surface Temperature (Sst) In a Semi-Arid Region. i-manager’s Journal on Civil Engineering, 8(4), 52-58. https://doi.org/10.26634/jce.8.4.15665

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