Installation guide for semanticClimate tech stack
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Updated
May 19, 2023 - HTML
Installation guide for semanticClimate tech stack
Net-zero pathways and their predictions for CO2 and global temperatures
Creating interactive graphs with national UNFCCC CRF emission data using Angular and visualisation libraries (Highcharts)
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.
Python package to calculate activity-based greenhouse gas emissions
A dashboard aggregating the most relevant bits of the RCP8.5 debate.
Visualization of the IPCC assessed scenarios
CO2 emissions calculator
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).
Sea level rise and extreme value analysis for Boston using IPCC AR6 Projections
Query interface for the IPCC 6th Assessment Report built using OpenAI, LangChain, and Pinecone.
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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