Work skills in areas such as:
Weather & Seasonal Forecasting
Climate Change & Energy-System Impacts
Operational Forecast Systems
Scientific Python & Data Engineering
Machine Learning & Predictive Modelling
Climate Risk & Extreme Weather
Geospatial & Climate Data Analysis
I’m Kristian Lautrup Nielsen, a climate and weather specialist working at the intersection of meteorology, energy, data science and software development. I hold a Master’s degree in Climate Change: Impacts, Mitigation and Adaptation and a Bachelor’s degree in Geophysics from the University of Copenhagen.
Over the past eight years, I have turned weather and climate data into practical forecasts, analytical tools and decision-support products. My experience spans seasonal forecasting, machine learning, forecast verification and climate impacts on renewable energy and electricity demand. Using Python, I develop workflows that connect data acquisition and scientific analysis with automated forecasting and operational delivery.
Through my work with the World Energy & Meteorology Council, I have contributed to European and international projects including SECLI-FIRM, FOCUS-Africa, FOCI, CROSSEU and ENGAGEMENT. I also develop WEFEX, a weather forecasting and visualisation platform, building automated data pipelines, forecast products and verification tools.
Based in Catalonia, Spain, I enjoy work that combines scientific understanding with hands-on development—building useful systems that help people make better decisions about weather, climate and energy.
Work experience
My work combines a longstanding interest in weather and climate with practical experience in data science, energy and software development. I enjoy solving complex problems, improving methods and building reliable tools that turn scientific knowledge into useful forecasts and decision support.
2021 – currently
(Data Engineer)
At WEMC, I develop weather and climate services through projects including FOCUS-Africa, FOCI, CROSSEU and ENGAGEMENT. My work includes WEFEX development, automated forecast pipelines, machine-learning applications and forecast verification, alongside analysing climate impacts on renewable energy and electricity demand and translating results into practical decision-support tools.
Underwriters Laboratories (UL)
2018 – 2021
(Research Scientist)
My role at UL was mainly on the EU H2020 project SECLI-FIRM (read more below). Besides that I have here assisted in automizing the retrival and post processing of ERA5 reanalysis data, evaluated future potential impacts of climate change on renewable energy production and different tasks relted to data processing and analyses.
2017(Intern)
My main focus has been on optimizing the meteorological WRF model of a European domain as well as its daily running process. I have developed my skills in Python scripting and obtained further knowledge of meteorological models and how to use these in calculating weather information. It also gave me the opportunity to work together with a group of programmers and software developers.
2016(Intern)
I calculated energy and carbon emission savings for the implementation of the company’s products. I also helped in making the company´s webpage in WordPress, which made me improve and develop my skills in webpage design even further. I also took part in the process of designing and building an app for the company using React-Native.
Projects I have worked on
Read more about my role in each of them in my CV.
Education and studies
During my education I worked individually but also had numerous group projects, which has given me competences in relation to project management and in collaborating with people from different educational backgrounds and countries.
Bachelor in Geophysics
2010-2013
I obtained an understanding of the geophysical aspects of our planet including meteorological, terrestrial and climate change perspectives. I have knowledge of climate models and of the parameters that play a role in the global climate system. With these skills, I can understand and work with climate models and different climate scenarios and analyse their impacts at regional and global scales.
Master in Climate Change, impacts, mitigation and adaptation.
2013-2016
In this 2-year interdisciplinary masters degree, I followed the natural science direction on the master. I obtained a broad knowledge of how the global climate system works and what effects will the changing climate have both at a local and global scale. Also, I acquired a toolset for analysing energy systems and carbon-neutral energy production. I gained an excellent understanding of the risks derived from climate change and the strategies needed to mitigate it and adapt to it. Furthermore, this education was interdisciplinary, which gave me an insight into other aspects related to climate change such as economic and social science aspects. With all of these competencies, I can analyse and evaluate issues regarding both energy production and its impacts together with climate change from many different perspectives.
Languages
In a global world it is important to speak different languages and in my opinion one is not enough.
Danish
English
Catalan (B1)
German
Swedish
Norwegian
Technical skills
Tools I use to analyse weather and climate data, develop predictive models and build operational forecasting systems.
Linux & development tools
Using Linux, Bash, Git, Conda and APIs to develop and maintain reproducible scientific workflows.
Python & scientific computing
Scientific programming and data analysis using xarray, NumPy, pandas, SciPy and Dask.
Weather & climate data
Processing forecasts, reanalysis, observations and climate projections in NetCDF, GRIB and Zarr formats.
Machine learning & verification
Predictive modelling with scikit-learn and XGBoost, including Random Forest, gradient boosting and forecast evaluation.
Operational systems & automation
Building automated pipelines for data retrieval, quality control, forecast processing and product generation.
Geospatial analysis & visualisation
Analysing and mapping spatial data using GeoPandas, Shapely, Cartopy and matplotlib.
Contact me
I hope you find my profile interesting and I encourage you to contact me if you are interested in hearing more or have any questions.