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Precipitation event detection based on air temperature over the Equatorial Indian Ocean

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Title Precipitation event detection based on air temperature over the Equatorial Indian Ocean
 
Creator Shesu, R V
Ravichandran, M
Suprit, K
Rao, E P Rama
Rao, B Venkateswara
 
Subject Air temperature
Classification
Equatorial Indian Ocean
Precipitation
Random forest
 
Description 117-125
Air temperature (AT) and precipitation observations obtained from RAMA (Research Moored Array for African-
Asian-Australian Monsoon Analysis and prediction) buoy at 0° N, 90° E from July 2009 to June 2017 are used to identify
rainfall events. Based on the Random forest method, which consists of classification and regression based on decision trees,
an algorithm is developed to identify the rainfall events from the change in AT data with high accuracy. During the study
period, a total of 22461 abrupt drops in air-temperature events were identified by the algorithm. Around 75 % of these
events were used to train and develop the clustering algorithm, and the rest of the events were used for validation with the
precipitation data available from the buoy. The algorithm can identify more than 94 % of rain events accurately when the
classification is binary. When the rain events are classified similar to the India Meteorological Department's classification,
the algorithm is still able to identify the rain events; however, the performance degrades to ~ 84 % accuracy.
 
Date 2022-07-01T11:50:50Z
2022-07-01T11:50:50Z
2022-02
 
Identifier 2582-6727 (Online); 2582-6506 (Print)
http://nopr.niscpr.res.in/handle/123456789/60025
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source IJMS Vol.51(02) [February 2022]