A. Goodbody

发表

A MODELING FRAMEWORK FOR IMPROVED AGRICULTURAL WATER-SUPPLY FORECASTING

G. Leavesley, O. David, D. Garen, 2010 .

Does Including Soil Moisture Observations Improve Operational Streamflow Forecasts in Snow‐Dominated Watersheds?

A. Goodbody, A. Harpold, Jordan A. Clayton, 2017 .

Evaluation of forest snow processes models (SnowMIP2)

Kelly Elder, David Gustafsson, Kenji Tanaka, 2009 .

DISTURBANCE AND WATER RELATED RESEARCH IN THE WESTERN UNITED STATES

R. Hubbard, K. Elder, A. Goodbody, 2006 .

Evaluation of forest snow processes models (SnowMIP2)

H. Douville, Y. Xue, T. Vesala, 2009 .

Augmenting geophysical interpretation of data-driven operational water supply forecast modeling for a western US river using a hybrid machine learning approach

Velimir V. Vesselinov, Sean W. Fleming, Angus G. Goodbody, 2021, Journal of Hydrology.

A Machine Learning Metasystem for Robust Probabilistic Nonlinear Regression-Based Forecasting of Seasonal Water Availability in the US West

Sean W. Fleming, Angus G. Goodbody, A. Goodbody, 2019, IEEE Access.

Mitigating the Impacts of Climate Nonstationarity on Seasonal Streamflow Predictability in the U.S. Southwest

Florian Pappenberger, Andrew W. Wood, A. G. Goodbody, 2017 .

Assessing the new Natural Resources Conservation Service water supply forecast model for the American West: A challenging test of explainable, automated, ensemble artificial intelligence

Sean W. Fleming, Angus G. Goodbody, David C. Garen, 2021 .

SNOTEL, the Soil Climate Analysis Network, and water supply forecasting at the Natural Resources Conservation Service: Past, present, and future

A. Goodbody, M. Strobel, S. Fleming, 2023, JAWRA Journal of the American Water Resources Association.

Evaluation of forest snow processes models (SnowMIP2)

H. Douville, Y. Xue, T. Vesala, 2009 .