Gary Sterle

发表

Application of machine-learning tools to extract patterns in long-term DOC monitoring data: an integrated, multi-scale approach

Li Li, Thomas Adler, Hang Wen, 2018 .

From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?

Chaopeng Shen, A. Harpold, W. Tsai, 2021, Environmental science & technology.

Streams as Mirrors: Reading Subsurface Water Chemistry From Stream Chemistry

Kristen L. Underwood, J. Kirchner, D. Rizzo, 2021, Water Resources Research.

CAMELS-Chem: Augmenting CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) with Atmospheric and Stream Water Chemistry Data

Kristen L. Underwood, D. Rizzo, A. Harpold, 2022 .

Climate Controls on River Chemistry

A. Harpold, J. Perdrial, Li Li, 2022, Earth's Future.

Soil CO2 Controls Short‐Term Variation but Climate Regulates Long‐Term Mean of Riverine Inorganic Carbon

A. Harpold, W. Zhi, Li Li, 2022, Global Biogeochemical Cycles.

Temperature controls production but hydrology regulates export of dissolved organic carbon at the catchment scale

Kristen L. Underwood, D. Rizzo, S. Godsey, 2020, Hydrology and Earth System Sciences.

Drivers of Dissolved Organic Carbon Mobilization From Forested Headwater Catchments: A Multi Scaled Approach

Kristen L. Underwood, D. Rizzo, A. Harpold, 2021, Frontiers in Water.

Increasing the efficacy of forest thinning for snow using high‐resolution modeling: A proof of concept in the Lake Tahoe Basin, California, USA

J. Greenberg, P. Broxton, A. Harpold, 2020, Ecohydrology.

Diel streamflow cycles suggest more sensitive snowmelt-driven streamflow to climate change than land surface modeling

J. Kirchner, A. Harpold, L. Scaff, 2021, Hydrology and Earth System Sciences.

Temperature controls production but hydrology controls export of dissolved organic carbon at the catchment scale

Kristen L. Underwood, D. Rizzo, S. Godsey, 2019 .

From hydrometeorology to water quality: can a deep learning model learn the dynamics of dissolved oxygen at the continental scale?

Chaopeng Shen, A. Harpold, W. Tsai, 2020 .

Machine‐Learning Reveals Equifinality in Drivers of Stream DOC Concentration at Continental Scales

Kristen L. Underwood, D. Rizzo, A. Harpold, 2023, Water Resources Research.