![Photo of Luke](./img/luke-madaus.jpg)
Luke Madaus
Meteorologist | Cloud-based weather and climate analytics
Primary areas of research include data assimilation methods, crowdsourced observations, mesoscale dynamic meteorology and forecast verification
Curriculum Vitae LinkedIn Twitter: @lmadaus
Currently working as a Staff Scientist and Geophysical Solutions Engineer at Jupiter
Recent Research and Projects
![Phone Observation Plot](./img/phone_obs.png)
Crowdsourced Weather Observations
The explosion of connected devices in recent years has opened up new opportunities for weather observations at scales and frequencies previously unthinkable. I am exploring crowdsourced and non-traditional observation platforms (such as backyard weather stations or smartphone pressure observations) for their use in weather forecasting and verification.
![Foreast Adjustment Plot](./img/fcst_adjust.png)
Data Assimilation for Short-Term Prediction
Frequently-updating, convection-allowing operational ensemble forecasts are right around the corner, but much work is needed to determine how to efficiently maximize the value of dense observations to support these high-resolution modeling efforts. I have ongoing work developing four-dimensional (4D) and object based data assimilation methods to address these needs.
![CI Example Plot](./img/ci_example.png)
Surface Observations and Convective Initiation
My PhD thesis work investigates how assimilating standard surface weather observations at high spatial and temporal frequency may improve short-term storm-scale forecasts of convective initation.