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)
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Updated
Dec 27, 2023 - Jupyter Notebook
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
Access, process and visualize global climate (precipitation) data from the WCRP CMIP6 database
Time Series data Analysis of Rainfall in Bangladesh
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
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
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.
All-in-one project about Barcelona Rainfall, that is being split into different subprojects; to be archived when splitting is completely achieved.
Tools for processing radar hourly rainfall datasets
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
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