John Sabo

Professor

Sustainability Scientist, GIOS: Sustainability Initiative
Professor, Knowledge Enterprise Development, Office of (OKED)
Professor, GIOS: Biodiversity Outcomes, Center for (CBO)
Future H20 Scientist, Future H2O
Professor, CLAS-NS: Life Sciences, School of (SOLS)
Associate Professor, Global Futures Laboratory (GFL)

3296 Citations
28 h-Index

If you made any changes in Pure, your changes will be visible here soon.

Personal profile

Education/Academic qualification

PHD, University of California-Berkeley

… → 2000

MS, University of Washington

… → 1995

BS, University of Notre Dame

… → 1992

Fingerprint Dive into the research topics where John Sabo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Rivers Medicine & Life Sciences

deserts Agriculture & Biology

rivers Agriculture & Biology

river Earth & Environmental Sciences

food webs Agriculture & Biology

food web Earth & Environmental Sciences

desert Earth & Environmental Sciences

Food Chain Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1997 2019

3296 Citations
28 h-Index
71 Article
5 Chapter
1 Review article

Accurate prediction of streamflow using long short-term memory network: A case study in the Brazos river basin in Texas

Damavandi, H. G., Shah, R., Stampoulis, D., Wei, Y., Boscovic, D. & Sabo, J., Jan 1 2019, In : International Journal of Environmental Science and Development. 10, 10, p. 294-300 7 p.

Research output: Contribution to journal › Article

Open Access

streamflow

river basin

prediction

flood control

basin

1 Citation (Scopus)

Cities of the Southwest are testbeds for urban resilience

Hondula, D., Sabo, J., Quay, R., Chester, M., Georgescu, M., Grimm, N., Harlan, S., Middel, A., Porter, S., Redman, C., Rittmann, B., Ruddell, B. L. & White, D., Mar 1 2019, In : Frontiers in Ecology and the Environment. 17, 2, p. 79-80 2 p.

Research output: Contribution to journal › Article

city

Machine learning: An efficient alternative to the variable infiltration capacity model for an accurate simulation of runoff rates

Damavandi, H. G., Stampoulis, D., Shah, R., Wei, Y., Boscovic, D. & Sabo, J., Jan 1 2019, In : International Journal of Environmental Science and Development. 10, 9, p. 288-293 6 p.

Research output: Contribution to journal › Article

infiltration

runoff

simulation

artificial intelligence

hydrological modeling

Model-data fusion of hydrologic simulations and GRACE terrestrial water storage observations to estimate changes in water table depth

Stampoulis, D., Reager, J. T., David, C. H., Andreadis, K. M., Famiglietti, J. S., Farr, T. G., Trangsrud, A. R., Basilio, R. R., Sabo, J., Osterman, G. B., Lundgren, P. R. & Liu, Z., Jun 1 2019, In : Advances in Water Resources. 128, p. 13-27 15 p.

Research output: Contribution to journal › Article

GRACE

water storage

water table

simulation

groundwater

2 Citations (Scopus)