In this new paper, the authors investigate and report on the potential application of artificial intelligence and machine learning in ecohydrology, highlight outcomes of the ecohydrology session at the November 2021 Artificial Intelligence for Earth System Predictability (AI4ESP) workshop, and provide visionary perspectives for future research in this area.
Massoud, E.C., Hoffamn, F., Shi, Z., Tang, J., Alhajjar, E., Barnes, M., Braghiere, R.K., Cardon, Z., Collier, N., Crompton, O., Dennedy-Frank, P.J., Gautam, S., Gonzalez-Meler, M.A., Green, J.K., Koven, C., Levine, P., MacBean, N., Mao, J., Mills, R.T., Mishra, U., Mudunuru, M., Renchon, A.A., Scott, S., Siirila-Woodburn, E.R., Sprenger, M., Tague, C., Wang, Y., Xu, C., Zarakas, C. (2023) Perspectives on Artificial Intelligence for Predictions in Ecohydrology, Artificial Intelligence for the Earth Systems 2(4). doi: 10.1175/AIES-D-23-0005.1
The Tague Team Lab 