📦🐍 Python package to model and forecast the risk of deforestation
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Updated
Jul 11, 2024 - Python
📦🐍 Python package to model and forecast the risk of deforestation
A Place for Free YemenMobile IPCC Files for the iPhone Devices.
Baseline methodologies to compute the carbon absorption of regeneration projects.
Julia interface to climate models + tracked workflow framework
Visualization of the IPCC assessed scenarios
🌍 📝 Modelling and forecasting deforestation in the tropics
By employing Extreme Value Theory, this research utilizes data from EM-DAT, World Bank, and IPCC databases to uncover insights into the impact of carbon emissions on exacerbating extreme flood events and the relationship between GDP per capita and flood severity.
City - Open Climate Reader: A proof-of-concept prototype for a semanticClimate publication built on a Quarto / Jupyter Notebook model for computational publishing
This repository provides a Python implementation of the Gaussian Mixture Model (GMM) algorithm for detecting extreme events in CMIP6 data.
HadCM3 climate change projection data converted to .csv and some other stuff (in progress).
Installation guide for semanticClimate tech stack
Query interface for the IPCC 6th Assessment Report built using OpenAI, LangChain, and Pinecone.
Net-zero pathways and their predictions for CO2 and global temperatures
Sea level rise and extreme value analysis for Boston using IPCC AR6 Projections
A collection of all iPhone IPCC files to be used for the Yemeni mobile network "Yemen Mobile"
Carbon Clock is an estimation of how much CO2 can be released into the atmosphere to limit global warming to a maximum of 1.5°C.
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