Work in progress for now
Course Title: Advanced Topics in Snow Hydrology
Course Duration: 4 days (February 18-21)
Instruction Format: Collaborative teaching with structured lectures (morning) and hands-on exercises or fieldwork (afternoon).
Day 1: Introduction to Snow Hydrology and Snow Processes
Morning (Lecture Session)
Lead Instructor: Kelly
General Snow Hydrology: Overview of snow hydrology (20 min).
Snow Energy and Mass Balance: Energy and mass dynamics in snowpacks (30 min).
Lead Instructor: Giacomo
Snowfall Trends in the Alps: Historical and current trends; climate change implications (40 min).
Lead Instructor: Kelly
Snow-Climate-Forest Interactions: Influence of forests and climate on snow hydrology (30 min).
Mini-Lecture Discussion/Q&A: Interactive discussion (30 min).
Afternoon (Exercises)
Exercise 1: Snow Mass Balance Calculations (Instructor: Kelly)
Students calculate snow energy and mass balance using sample datasets.
Exercise 2: Snowfall Trend Analysis (Instructor: Giacomo)
Analysis of real-world snowfall data using statistical tools.
Day 2: Snow Modeling and Data Integration
Morning (Lecture Session)
Lead Instructor: Kelly
General Snow Modeling: Principles, methodologies, and applications of snow modeling (30 min).
Integration of Empirical Data into Snow Models: Role of observational data in improving model accuracy (30 min).
Lead Instructor: John
Snow Modeling with the GEOtop Model: Introduction and case study overview (60 min).
Lead Instructor: Riccardo
Permafrost and Permafrost/Snow Relations: Overview of permafrost and its interactions with snow (30 min).
Mini-Lecture Discussion/Q&A: Interactive discussion (30 min).
Afternoon (Exercises)
Exercise 3: Snow Model Setup and Calibration (Instructor: Kelly)
Hands-on setup of a snow model using provided datasets.
Exercise 4: GEOtop Model Introduction (Instructor: John)
Students use the GEOtop model to simulate snowpack-permafrost interactions.
Day 3: Remote Sensing and Advanced Applications
Morning (Lecture Session)
Lead Instructor: Michele
Integration of Remote Sensing and Snow Modeling in the GEOframe Model: Introduction and applications (60 min).
Lead Instructor: Riccardo
Permafrost/Snow Case Study: Detailed presentation of a case study highlighting snow and permafrost modeling (45 min).
Lead Instructor: Kelly
Forest/Snow Case Study: Detailed presentation of a case study highlighting snow and forest interactions in modeling (45 min).
Mini-Lecture Discussion/Q&A: Interactive discussion (30 min).
Afternoon (Exercises)
Exercise 5: Remote Sensing Data Integration (Instructor: Michele)
Using satellite data to improve snow model predictions in the GEOframe model.
Exercise 6: Case Study Application (Instructor: Riccardo)
Students apply knowledge of snow-permafrost interactions in a modeling scenario.
Day 4: Fieldwork and Integration of Concepts
Morning (Field Trip Preparation & Fieldwork)
Lead Instructor: Giacomo
Field Trip Introduction: Overview of field methods and objectives (30 min).
Field Data Collection:
Snowpack measurement techniques (density, SWE, snow depth).
Observations of forest-snow and permafrost-snow interactions.
Afternoon (Field Data Analysis and Wrap-Up)
Exercise 7: Field Data Integration into Models (Instructors: All)
Students analyze collected data and evaluate how to incorporate into GeoTop
Wrap-Up Discussion:
Synthesis of course concepts, student reflections, and Q&A (30 min).
Materials and Resources
Lecture slides and notes (provided by instructors).
Datasets for exercises and fieldwork preparation.
Access to GEOtop and GEOframe modeling tools.
Assessment
Pre-course quiz on foundational concepts (10%).
Participation in exercises and fieldwork (40%).
Final project integrating lecture topics, exercises, and field data (50%).
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