Kosi-Ganga-River-Creek 35 years’ Additive Time Series and Seasonal Analysis Using Remote Sensing Data.

Abstract Climate change effect can be observed around the globe but most devastation is faced by economically weak and farmers in India. Kosi-Ganga-River-Creek area has witnessed frequent floods heavy rainfall over years. The study creek where Kosi Ganga river joins together Katihar district of Bihar, Two variables, total daily precipitation (P Tot ) max air temperature (T (remote sensing climatological data) were fetched from ERA5 dataset using Google Earth Engine Coder to assess climate area. data shows stochastically fitting further forecasting methods as important conduct settings approach reliability. This applied exclusively time series analysis (such decomposing a series, seasonal subseries, autocorrelation function (ACF) lag series) along with descriptive statistical for both parameters dataset. found changes T 30-year period show significant variability temperature. peaked during year 1990, 1995, 1998, 2004, 2008, 2012 2014 whereas drop before after such rise was pattern. exponential increase monthly tot also correlates increase. However, more non-monsoon seasons like January, February March. Although reduction P May, June, July, August September. have caused severe damage agriculture economy Thus it essential forecast probable future other conditions mitigate extreme weather effect. Without proper study, monitoring, assessment management policies Bihar will likely continue suffer due agricultural losses, lively hood, life, economic losses infrastructure.