Interactive deployable visualisation of volcanic datasets provided for TAR experiments of the ISA-MIP climate model intercomparison initiative.
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Updated
Aug 1, 2018 - JavaScript
Interactive deployable visualisation of volcanic datasets provided for TAR experiments of the ISA-MIP climate model intercomparison initiative.
Sibia Global AI is a collaborative initiative driven by experts from academia and industry to catalyze impactful work at the intersection of climate change and machine learning.
Python workshop for EES405 course @IISERM
A Statistician reads published Climate Science
R Code for Statistics and Data Visualizations in Climate Science with R and Python
Climate drivers of the springtime North America cooling pattern
Evaluates tropospheric temperature and zonal wind pressure profiles over a variety of projections, seasonal changes, altitudes, etc.
The Oceland Model is a conceptual box model based on water balance equations and including basic moisture exchange processes in a coupled land-ocean-atmosphere system.
Data for 'Origins of a relatively tight lower bound on anthropogenic aerosol radiative forcing from Bayesian analysis of historical observations' (2021)
Project website for our NASA-funded computational climate-science curriculum
Streamlined Oceanographic and Climate toolKit for Students
A 100-year collection of climate data from one of the nation's oldest weather stations. Data source is NOAA.
part of a group project I am doing for computer science/ individual political science assignment on a public service on climate change.
AI model (LSTM) for predicting long-term climate trends
This repository provides a collection of codes for the analysis of GPS/RO observations.
In my model I aim to investage the average growth of different species of plants. Driving question: How does the growth in different species differ within the same environment? This was an Investigative model. Commercially, logging companies would be intrested to see how to best grow plant or learn which plants are best to grow in their environment
SST Forecasting System: A robust forecasting platform leveraging ERA5 reanalysis data and big data tools (Airflow, Spark, Cassandra, PostgreSQL) to predict Sea Surface Temperatures. Utilizes Facebook's Prophet and Random Forest models for precise predictions, integrated with Tableau for real-time data visualization.
A project focused on climate data and tooling for Rio Grande do Sul in Brazil.
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