The relationship between Atmospheric Variables and Interflow Using the Modified Analog Method over the Storage Dam in Thailand

In this study, we do a simulation of the interflow of storage dams
using statistical downscaling by an analog method over the northeast
of Thailand. Statistical downscaling is used to define a relationship
between atmospheric variables and interflow. Atmospheric variables
are predictors such as mean sea level pressure, moisture, geo-potential
height and temperature for an interflow simulation. Interflow is used
as an observation or a predictand of the reservoir inflow at the stations. The Modified Analog Method is used in interflow simulations for the prediction.The data was acquired from the Water Operation Center
from 2000 to 2009 at the four stations and compared with data of the inflow during the month of September 2017. Then, all forecasted data was analyzed and compared at each of the stations to determine the correlations between atmospheric variables and interflow for validation. The result showed that the MAM gave the correlation value of one, resulting in a reduced error percentage of 1.53%. The MAM gave
the value of 290.71 mcm which was a different value of 309.61 mcm from the observed interflow in the dam.