- Ph. D. 2024
Geography
Simon Fraser University, Canada
- M. Sc. 2018
Atmospheric Sciences
University of Innsbruck, Austria
- B. Sc. 2016
Atmospheric Sciences
University of Innsbruck, Austria
You can reach Florian at florian_herla@sfu.ca.
Meet Florian
During his teenage years Florian developed a strong fascination for climbing and mountaineering and particularly enjoyed the variety that comes with different seasons. A decade later his studies of the atmospheric sciences stimulated his aspiration to anticipate weather and snowpack conditions from remote and to understand physical phenomena while in the mountains. While these interests have sparked his motivation to study snow and avalanches from a physical perspective, his second profession as an IFMGA mountain guide equally motivates him to learn more about the risk perspective, particularly in the context of decision making and communication. He is particularly motivated to bridge the space between tangible application and academic research.
Florian's research
The objective of Florian’s research is to make snowpack simulations more accessible and relevant for operational avalanche forecasting. He is building on the established infrastructure of numerical weather and snowpack modeling and develop computer algorithms that help researchers and forecasters analyze large data sets of simulated or manually observed snow profiles in meaningful ways. Other tasks of his research involve evaluating and correcting the modeled snow stratigraphy based on operational snowpack observations and hazard assessments. The ultimate goal of his research is to contribute to bringing operational avalanche forecasting into the digital century and in the long run contribute to improved forecastability in data sparse regions, but also to improved forecast quality and consistency in general.
Clustering simulated snow profiles to form avalanche forecast regions
A quantitative module of avalanche hazard—comparing forecaster assessments of storm and persistent slab avalanche problems with information derived from distributed snowpack simulations
Improving the applicability of large-scale distributed snowpack simulations for operational use in avalanche forecasting
How many snow profiles can you process? Making the wealth of information included in large-scale snowpack simulations more accessible for operational avalanche forecasting
A quantitative module of avalanche hazard - Comparing forecast assessments of avalanche problems with information derived from distributed snowpack simulations
Is it a problem? Takeaways from research into the use an effectiveness of avalanche problems
A large-scale validation of snowpack simulations in support of avalanche forecasting focusing on critical layers
A data exploration tool for averaging and accessing large data sets of snow stratigraphy profiles useful for avalanche forecasting
Snow profile alignment and similarity assessment for aggregating, clustering, and evaluating of snowpack model output for avalanche forecasting
Click here for a full listing of SARP publications.
sarp.snowprofile.pyface: 'python' Modules from Snowpack and Avalanche Research
sarp.snowprofile.alignment: Snow Profile Alignment, Aggregation, and Clustering
sarp.snowprofile: Snow Profile Analysis for Snowpack and Avalanche Research
Click here for a full listing of SARP software packages.
Florian Herla, Pascal Haegeli, Simon Horton & Patrick Mair
Validating Snowpack Simulations for Critical Layers
2023 CAA Spring Meetings
Florian Herla, Simon Horton, & Pascal Haegeli
An informative Large-Scale Validation of Snowpack Simulations in Support of Avalanche Forecasting in Canada
2022 AGU Fall Meeting
Florian Herla
Snow profile analysis: Aggregating, clustering, evaluating of snowpack data for avalanche forecasting
2020 AGU Fall Meeting
Click here to view all SARP presentation videos.