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

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

Time Series data Analysis of Rainfall in Bangladesh

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

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

TOOLS - R.Weather CDMS, es un sistema computacional que integra colecciones de datos y su representación espacial, facilitando el registro, manejo, análisis, distribución y utilización de datos hidroclimatológicos.

Exploration and extraction of daily GHCN climatological data (Global Historical Climatologic Network)

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

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

Tools for processing radar hourly rainfall datasets

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.

PPTSA (Precipitation Probabilistic Time Series Analysis) examines the statistical structure and predictability of precipitation, emphasizing the impulse-like nature of rainfall and its implications for forecasting. The study uses ~140 years of daily precipitation data from Central Park, New York City.

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