Manuela Girotto

Professor

University of California, Berkeley

United States

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Manuela Girotto is a Professor at the University of California, Berkeley. She specializes in climate change, hydrology, and remote sensing, with recent research focused on snowpack estimation, socio-hydrologic droughts, and machine learning applications in groundwater forecasting. Her work aims to enhance understanding of water cycle components and improve ecosystem resilience in the face of climate variability.

Articles (10)

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

Collaborators (8)

Shima Azimi

University of Trieste

ITALY

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David Keiser

University of Massachusetts Amherst

UNITED STATES

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Simone Gabellani

Head of Hydrology and Hydraulics Department

ITALY

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Tristan Quaife

University of Reading

UNITED KINGDOM

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Dennis Baldocchi

Professor of Biometeorology

University of California, Berkeley

UNITED STATES

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Massimo Milelli

Head

CIMA Research Foundation

ITALY

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Marianne Cowherd

Assistant Professor

Montana State University

UNITED STATES

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Jean-Christophe Calvet

Université de Toulouse

FRANCE

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Manuela Girotto

Research Interests

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Articles (10)

Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates

Winter snow deficit was a harbinger of summer 2022 socio-hydrologic drought in the Po Basin, Italy

Climate change-resilient snowpack estimation in the Western United States

Identifying snowfall elevation patterns by assimilating satellite-based snow depth retrievals

Connecting Global Modes of Variability to Climate in High Mountain Asia

Ecosystem groundwater use enhances carbon assimilation and tree growth in a semi-arid Oak Savanna

Evolution of global snow drought characteristics from 1850 to 2100

Forecasting groundwater levels using machine learning methods: The case of California’s Central Valley

An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space

Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication

Collaborators (8)

Shima Azimi

David Keiser

Simone Gabellani

Tristan Quaife

Dennis Baldocchi

Massimo Milelli

Marianne Cowherd

Jean-Christophe Calvet

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