rainfall-data

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

Notebooks python pour l'exploitation des open-data Météo-France en ligne sur meteo.data.gouv.fr

Time Series data Analysis of Rainfall in Bangladesh

Access, process and visualize global climate (precipitation) data from the WCRP CMIP6 database

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

Some work on IMD Pune's gridded data sets

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

Visualization of Rainfall data.

Buishand and Double Mass tests for hydrologic Time serie homogeneity

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.

A data-driven Python system that helps smallholder farmers in Kenya distinguish between True and False rainfall onsets, and receive satellite-based irrigation advisories — no hardware required.

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

Showcasing parallel chained equations for imputation of missing data

ML-powered early warning system for predicting high food insecurity risk across Kenya ASAL counties. Combines IPC food security outcomes, rainfall, NDVI vegetation, and food price indicators to support early risk monitoring and humanitarian planning. #DataScience #FoodSecurity #Kenya

A dashboard for monitoring the UK grid status in real-time. Octopus Energy customers can also input their API credentials and monitor their own energy usage.

All-in-one project about Barcelona Rainfall, that is being split into different subprojects; to be archived when splitting is completely achieved.

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

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.