• Monalika Malaviya
• Dr.Vilin Parekh

Here, an attempt has been made to critically review research papers from 2006 onwards, to determine missing rainfall data. These papers discuss selected zones, numbers of rain gauge stations, duration and methods used for estimation of missing precipitation records as well as algorithms used to select the best one. Around 10 algorithms and 20 methods were discussed in selected research papers. Some methods need only one input variable to generate one output like Artificial Neural Network Method (ANN) & Closest Station Method (CSM) and some methods must need more than one input variables to generate output like Arithmetic Average Method, Inverse Distance Method & Normal Ratio Method. Here, coefficient of determination (R2) and Willmott Agreement Index (d) algorithm are the best from all algorithms, which were used in these research papers. But for more accurate result, Authors should have used A Modified Index of Agreement (d1) and A Refined Index of Agreement (d1’). Critically considering all the merits and demerits of the algorithms and methods discussed, the best algorithm and method to get the best optimum result were determined.

Rain gauge stations, Rainfall Data, Missing Data, Algorithms, Methods

"SELECTION OF BEST METHOD AMONG DIFFERENT METHODS FOR DETERMINING MISSING RAINFALL DATA: CRITICAL REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.286-291, May - 2019, Available :http://www.jetir.org/papers/JETIRCQ06052.pdf

"SELECTION OF BEST METHOD AMONG DIFFERENT METHODS FOR DETERMINING MISSING RAINFALL DATA: CRITICAL REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp286-291, May - 2019, Available at : http://www.jetir.org/papers/JETIRCQ06052.pdf