Over A Century Of Indian Climate Data (1901–2017)

Overview:
This dataset provides two key meteorological time series for India, sourced from the India Meteorological Department (IMD) at mausam.imd.gov.in. It includes:

Monthly, Seasonal, and Annual Mean Temperature (1901–2017)

Data in degrees Celsius.
Covers long-term climate trends across various time scales (monthly, seasonal, annual).
Sub-Divisional Monthly Rainfall (1901–2017)

Data in millimeters (MMS).
Organized by sub-divisions (regional divisions) within India.
Useful for analyzing precipitation patterns and long-term trends in rainfall distribution.

Time Range: 1901–2017
Geographic Scope: India (sub-divisional level data for rainfall, and national time series for temperatures)

Potential Use Cases:
Climate Analysis: Study long-term changes in temperature and rainfall, detect trends or anomalies, and compare seasonal vs. annual fluctuations.
Predictive Modeling: Build machine learning models to forecast future temperature or rainfall patterns.
Correlation Studies: Investigate the relationship between rainfall, temperature, agriculture yields, and other socio-economic factors.
Academic Research & Education: Ideal for climatology, meteorology, environmental science, and data science demonstrations.

Important Notes:
Temperature values are reported in °C.
Rainfall values are reported in mm (MMS in the original metadata).
NA indicates missing or unavailable data.
Data are compiled and published by the India Meteorological Department (IMD).
Please consult the IMD website (mausam.imd.gov.in) for any additional metadata, potential updates, or clarifications regarding data collection methods.