Lecture 31 Snow Hydrology
Introduction to Snow Hydrology
Speaker: Manuela Girotto, Associate Professor at Berkeley
Date: November 7th, 2025
Background
Geographic References
Various locations in relation to the topic of snow hydrology:
Vancouver
Portland
Seattle
Spokane
Boise
California cities: Los Angeles, San Diego, San Francisco, San Jose, etc.
Areas in Europe: Toronto, Montreal
Areas across the USA including Chicago, Denver, etc.
References to organizations like NASA Goddard Space Flight Center
Learning Objectives
Understand why snow is important globally and particularly in California.
Identify key state variables that characterize snowpacks.
Explore what governs the accumulation and melting of snow in seasonal snowpacks.
Learn how to estimate snow.
Analyze the fate of snow under climate change.
The Water Cycle
Moisture Transport
Water is cycled through various forms and pools on Earth:
Pools: Locations where water is stored such as oceans, lakes, etc.
Fluxes: Mechanisms of moving water between pools, e.g., evaporation, precipitation, runoff.
On Earth, water can be fresh, saline, or brackish; 96% of all water is stored in oceans.
Key Processes
Water is transported from oceans to land and eventually returns to the ocean.
Different types of water use:
Domestic
Agricultural
Industrial
Human activities impact the water cycle by redirecting rivers and draining wetlands, affecting both water quantity and quality.
Importance of Snow in Runoff
Regions with significant snow provide water for nearly 3 billion people downstream.
Snow-derived water is especially vital in areas with high population density and agricultural needs.
The masked regions are significant but often poorly monitored.
Snow Socio-Climatic Risks
Water Towers
Major mountain ranges referred to as 'water towers':
Alps, North America, Andes, Himalayas, Alaska Range
Vulnerable due to combined water stress and climate/socio-economic changes.
Global Radiation and Albedo
Albedo: Measure of how much sunlight is reflected back into space.
Snow cover reflects solar radiation, thereby affecting the energy budget on Earth.
Positive feedback loop where less snow leads to more warming.
Importance of Snow for California
California relies on snowmelt runoff for approximately 75% of its water resources, especially from the Sierra Nevada and Colorado River basin.
Metrics for Snow
Key Metrics
Snow Depth: Measurement of the thickness of the snow layer.
Snow Water Equivalent (SWE): Amount of water stored as snow.
Formula:
where:= snow depth
= snow density (150-500 kg/m³)
= water density
Comparisons
Snow depth may exceed SWE, denoting that snow has variable densities.
For a given snowpack:
hos < how
ightarrow SWE < ds
Seasonal Evolution of Snow
Snow Accumulation Season
High snowfall and low melt energy, with snow temperature below 0°C.
Snow Mass Balance formula:
Snow Energy Balance:
Ablation Season
Low or zero snowfall and high melt energy during warmer temperatures, while still remaining at or below 0°C.
Monitoring and Estimating Snow
Ground Observations
In-Situ Observations: Includes using snow pillows and courses.
Challenges: Sparse observations, cost, complex environments.
Remote Sensing of Snow
Use of technologies like Landsat and MODIS for snow monitoring.
Spatial and temporal challenges exist with satellite data.
Models in Snow Hydrology
Importance of combining in-situ observations, models, and remote sensing.
To limit uncertainties and improve predictions regarding snowpack changes due to climate change.
Climate Change Implications
Effects on Snow
Warmer air holds more water vapor, leading to changes in precipitation patterns.
Shift in the rain-to-snow line due to temperature increases, affecting snow availability.
## Hydrological ImpactLess snowpack can be associated with early snowmelt timing, leading to water shortages in dry seasons.
Increased rain events may lead to flooding as snowlines rise.
Summary
Snow is a crucial part of the global water cycle, with significant implications for water resource availability.
Snow Water Equivalent, snow depth, and snowfall are important metrics to understand snow behavior.
The impacts of climate change are evident in snow dynamics, affecting availability and quality.
Recommendations for further learning:
ESPM C130 Terrestrial Hydrology
ESPM 172 Remote Sensing of the Environment
Contact Information
Manuela Girotto's email: mgirotto@berkeley.edu