Notebooks Python to download and view ERA5 climatologic data, as well as to extract time series (hourly to monthly data on many atmospheric and land-surface parameters)

Radproc - RADOLAN composite processing, analysis and data exchange with ArcGIS

Clustering using Self-Organizing Maps through Non-Linear Principal Components Analysis - Rainfalls in Southwestern Colombia

Buishand and Double Mass tests for hydrologic Time serie homogeneity

Time Series data Analysis of Rainfall in Bangladesh

Historical & future climatologies (1970-2100) - Time series extraction and maps plotting

Machine Learning Model on Rainfall in Australia

This is a script which I developed for DataMeet Pune which takes an .xls file which has rainfall data of India and generates state-wise .csv files in an unpivoted format which can be useful for further analysis.

Preprocessing imbalanced rainfall data using Apache Hadoop framework and give predictive statistics of rainfall data using R

Python code for reading SM2RAIN dataset (global daily precipitations between 2007 and 2019) . Extraction of time serie for N points

The full site is available on

This project is about predicting the next-day rain in Australia with some various binary classification methods

A ML project with EDA and model that helps in predicting next-day rain by training classification models on the target variable RainTomorrow.

Notebook to create a isohyet map (isovalues) from precipitation data at several raingauges

Some work on IMD Pune's gridded data sets

R package for rain gauge data from the Biological Dynamics of Forest Fragments Project.

Predicting Days of Rainfall

Basic Analysis of Rainfall using cpp

Application of the ETS model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahwalnagar District, Punjab, Pakistan.

Collect, manipulate, and generate variables related to climatic shocks on AMC (Comparable Minimum Areas) in Brazil.