Open Climate Repo
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Updated
Jan 21, 2020 - Go
Mitigation – reducing climate change – involves reducing the flow of heat-trapping greenhouse gases into the atmosphere, either by reducing sources of these gases (for example, the burning of fossil fuels for electricity, heat, or transport) or enhancing the "sinks" that accumulate and store these gases (such as the oceans, forests, and soil). The goal of mitigation is to avoid significant human interference with Earth's climate, "stabilize greenhouse gas levels in a time frame sufficient to allow ecosystems to adapt naturally to climate change, ensure that food production is not threatened, and to enable economic development to proceed in a sustainable manner" (from the 2014 report on Mitigation of Climate Change from the United Nations Intergovernmental Panel on Climate Change, page 4).
Open Climate Repo
Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C
Trajectories for climate and air-quality mitigation. Trajectories describe expected pathways of community compositional change under multiple global-change scenarios.
IBM Call for Code 2021 Sustainability challenge
Repository to the paper "What shall we do with steel mill off-gas: Polygeneration systems minimizing greenhouse gas emissions"
Estimated global temperature rise based on how quickly humanity transitions to clean energy
The mission of Project Drawdown is to help the world reach “Drawdown”— the point in the future when levels of greenhouse gases in the atmosphere stop climbing and start to steadily decline, thereby stopping catastrophic climate change — as quickly, safely, and equitably as possible.
Presentation Slide about climate change and its effect on Bangladesh
Homework for the МТССНДАМСС course at SPbU
Climate Insurance Design and Performance Analysis
Code for a scientific article review project for practice at SPbU
Code for "Low Emissions Building Control with Zero-Shot Reinforcement Learning" (AAAI 2023)
A community curated list of awesome clean tech companies
Python code accompanying: "High-yield dairy cattle breeds improve farmer incomes, curtail greenhouse gas emissions and reduce dairy import dependency in Tanzania"
Python code accompanying: "Feeding-efficiency-gains-can-increase-the-greenhouse-gas-mitigation-potential-of-Tanzania's-dairy-sector"
Smart Meter Data Analytics Tutorial @ 11th International Conference on Learning Representations (ICLR 2023)
This project focuses on enhancing biomass management efficiency through advanced AI and time series analysis for accurate prediction. The platform utilizes React Native for the frontend, Node.js and Express.js for the backend, MongoDB as the database, and incorporates additional technology with Python.
Created by Humanity