Name: Sebastian Steinig
Type: User
Company: University of Bristol
Bio: Climate Scientist at University of Bristol, UK. Trying to make environmental data accessible to more people.
Twitter: sebsteinig
Location: Bristol, UK
Blog: sebsteinig.github.io
Sebastian Steinig's Projects
analysis of HadCM3BL surface winds for McGlannan et al. (2022)
Boilerplate template for generic data analysis using python and jupyter notebooks
documentation of APRP analysis to quantify shortwave feedbacks in DeepMIP and CMIP models
PostgreSQL database and Go API for ClimateArchive
A python-based monitoring package for NEMO General Ocean Circulation Model
Flask (Python) API to extract point data from climate model data
Collection of bash and NCL scripts for CMIP3/5 data
constructed installers for conda packages
collection of dictionaries and scripts for interacting with DeepMIP data
Interactive app for DeepMIP model-data comparison built with Python and streamlit
Interactive analysis of DeepMIP model data
analysis of simulated and reconstructed Early Cretaceous land temperatures
earth app modified to display KCM data
analysis and visualisation of July 2023 heatwaves in the ERA5 dataset
A D3.js-based geologic time scale that utilizes the Paleobiology Database
scripts to create parameter ensemble jobs for HadCM3B
workflow to monitor, visualise and validate HadCM3B ensemble simulations
python notebooks to create ancillary files for various HadGEM3 experiments
Material developed for the 2022/2023 "Introduction to Scientific Computing" course at the University Bristol.
approximate reproduction of IPCC AR6 figures 7.11, 7.13 and 7.19 based on provided input data
My IPython extensions
assorted collection of jupyter notebooks (python)
Graphical user interface for exploring space, time, and taxa in the PBDB
netCDF converter for ClimateArchive engine
Gaussian process regression to estimate Eocene surface temperatures as published in Inglis et al. (2020)
Procedural generation of idealised ocean temperatures to initialise paleoclimate model simulations
HadCM3B Eocene perturbed parameter experiment (PPE) analysis