GithubHelp home page GithubHelp logo

Latest!

🔭 Education

  • PhD.: Environmental Sciences from ETH Zurich
    • Thesis Topic: The Influence of Street Trees on Urban Cooling, Human Thermal Comfort, and Carbon Dynamics.
  • M.Sc.: Atmospheric Sciences from Istanbul Technical University with a GPA of 3.94/4
    • Thesis Topic: Future Changes in Hourly Extreme Precipitation, Return Levels, and Non-stationary Impacts in Türkiye.
  • B.Sc.: Meteorological Engineering from Istanbul Technical University with a GPA of 3.45/4
    • Thesis Topic: Assessment of Urbanization Impact On Heavy Precipitation in Istanbul, Turkey.

🌱 About Me

  • Hi there! I'm a dedicated PhD student at Empa, affiliated with ETH Zurich, in the Department of Environmental System Sciences. Under the guidance of Dominik Brunner in the Atmospheric Modeling & Remote Sensing group, my research focuses on urban climate dynamics.

  • I have been improving myself to think like an engineer and observe like an atmospheric scientist, which has led me to develop new ideas to assist Climate Science. One of those ideas was to create a website, Climaturk, that reveals the climate conditions of atmospheric variables in Turkey, using comprehensive statistical and thermodynamic methods. I processed the state-of-art climate data utilizing various data types (NETCDF, HDF5, GRIB, CSV) with popular Python libraries (Xarray, Numpy, Pandas, Salem, Matplotlib) and visualized it to the end-user in very engaging ways.

  • I developed a Python library called Visjobs (downloaded over 22.000 times according to pepy.tech that makes it easy for atmospheric scientists to access model and observation data (ERA5, GFS, GEFS, NAM, GHCN) without even having to download them (OpenDAP).

📫 Currently

  • My work involves exploring the impact of street trees on urban cooling, human thermal comfort, and carbon exchange between the atmosphere, utilizing and enhancing ICON-ART mesoscale model and Terra_Urb/Bep-Tree urban parameterizations.

👯 Interested In

  • Python:
    • e.g. Numpy, Pandas, Xarray, Sklearn, Keras, Matplotlib, Metpy
  • Data Science:
    • Weather, Climate Data Science/Analytics
  • Climate Science:
    • Climate Modelling (COSMO, ICON, WRF)
  • Machine Learning:
    • Time Series Modelling
  • Visualization:
    • e.g. Matplotlib, Plotly
  • Renewable Energy:
    • Wind, Solar Power Data Science/Analytics
  • Dashboards:
    • e.g. Plotly-Dash, Streamlit

GitHub Streak

Top Langs

Kutay Dönmez's Projects

Kutay Dönmez doesn’t have any public repositories yet.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.