ktokarska,Kasia Tokarska,kasia_tokarska,github

Hi there 👋

💻🌐 I am a climate scientist, interested in machine learning applications to climate data analysis.

🌱 I’m currently learning about interpretable neural networks (where the NN is learning from, and is it for the right reasons?)

🏔 My research focuses on climate-carbon interactions and the remaining carbon budgets for the Paris Agreement - you can find more information here: https://www.kasiatokarska.com/my-work.html

🌎🔥I am also a core member of Climate Change AI (https://www.climatechange.ai/), which is an amazing community connecting machine learning experts with climate scientists to work and collaborate together in adressing climate change. Feel free to visit that website to sign-up for our monthly newsletter and/or join us for virtual Happy Hours.

😃📷⛷ I'm also on twitter (https://twitter.com/kasia_tokarska) and 500px (landscape photography) https://500px.com/p/kasia_tokarska?view=photos

Kasia Tokarska's Projects

intro-climate-data-analysis

Introduction to loading and plotting data from Earth System Climate models (e.g. CMIP)

ipcc_sr15_scenario_analysis

Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C

remaining_carbon_budgets

This project quantifies different sources of uncertainty in the remaining carbon budgets. Code accompanying the Matthews et al. 2020 method described in the following paper: Matthews, H. D.†, Tokarska, K.B.†, Rogelj, J., Smith, C.J., MacDougall, A. H., Haustein, K., Mengis, N., Sippel, S., Forster, P.M., Knutti, R. An integrated approach to quantifying uncertainties in the remaining carbon budget. Communications Earth and Environment. (2020 /accepted). †equal first authors link/doi: <will be updated once published>

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