Follow
Galen Gorski
Galen Gorski
US Geological Survey
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
A horizontal permeable reactive barrier stimulates nitrate removal and shifts microbial ecology during rapid infiltration for managed recharge
S Beganskas, G Gorski, T Weathers, AT Fisher, C Schmidt, C Saltikov, ...
Water research 144, 274-284, 2018
402018
Vapor hydrogen and oxygen isotopes reflect water of combustion in the urban atmosphere
G Gorski, C Strong, SP Good, R Bares, JR Ehleringer, GJ Bowen
Proceedings of the National Academy of Sciences 112 (11), 3247-3252, 2015
402015
Investigating the source, transport, and isotope composition of water vapor in the planetary boundary layer
TJ Griffis, JD Wood, JM Baker, X Lee, K Xiao, Z Chen, LR Welp, ...
Atmospheric Chemistry and Physics 16 (8), 5139-5157, 2016
352016
Denitrification during infiltration for managed aquifer recharge: Infiltration rate controls and microbial response
G Gorski, H Dailey, AT Fisher, N Schrad, C Saltikov
Science of the total environment 727, 138642, 2020
272020
Hydrologic regimes drive nitrate export behavior in human-impacted watersheds
G Gorski, MA Zimmer
Hydrology and Earth System Sciences 25 (3), 1333-1345, 2021
252021
Field and laboratory studies linking hydrologic, geochemical, and microbiological processes and enhanced denitrification during infiltration for managed recharge
G Gorski, AT Fisher, S Beganskas, WB Weir, K Redford, C Schmidt, ...
Environmental science & technology 53 (16), 9491-9501, 2019
242019
Disrupt and demystify the unwritten rules of graduate school
J Pensky, C Richardson, A Serrano, G Gorski, AN Price, M Zimmer
Nature Geoscience 14 (8), 538-539, 2021
122021
Paired analyses of oxygen isotope and elemental ratios within individual shells of benthic foraminifera genus Uvigerina
B Balestra, IJ Orland, J Fessenden-Rahn, G Gorski, R Franks, T Rahn, ...
Chemical Geology 533, 119377, 2020
62020
Enhanced cycling of nitrogen and metals during rapid infiltration: implications for managed recharge
J Pensky, AT Fisher, G Gorski, N Schrad, H Dailey, S Beganskas, ...
Science of The Total Environment 838, 156439, 2022
32022
Linking nitrate removal, carbon cycling, and mobilization of geogenic trace metals during infiltration for managed recharge
J Pensky, AT Fisher, G Gorski, N Schrad, V Bautista, C Saltikov
Water research 239, 120045, 2023
22023
Soil characteristics and redox properties of infiltrating water are determinants of microbial communities at managed aquifer recharge sites
N Schrad, J Pensky, G Gorski, S Beganskas, AT Fisher, C Saltikov
FEMS Microbiology Ecology 98 (12), fiac130, 2022
22022
Hydrologic regimes drive nutrient export behavior in human impacted watersheds
G Gorski, MA Zimmer
Hydrology and Earth System Sciences Discussions 500, 1-24, 2020
22020
The potential for nitrate removal during infiltration: Mapping with machine learning informed by field and laboratory experiments
G Gorski, AT Fisher, H Dailey, S Beganskas, C Schmidt
Hydrological Processes 36 (11), e14750, 2022
12022
Physics-informed LSTM for streamflow modeling using a dataset of intensively-monitored watersheds in the USA
L Zhang, D Bellugi, J Kadi, A Kamat, G Gorski, L Larsen
AGU Fall Meeting Abstracts 2021, H35S-1248, 2021
12021
Applying reactive barrier technology to enhance microbially-mediated denitrification during managed aquifer recharge
S Beganskas, WB Weir, RE Harmon, G Gorski, AT Fisher, C Saltikov, ...
AGU fall meeting abstracts 2015, B21C-0436, 2015
12015
Deep learning of estuary salinity dynamics is physically accurate at a fraction of hydrodynamic model computational cost
G Gorski, S Cook, A Snyder, AP Appling, T Thompson, JD Smith, ...
Limnology and Oceanography, 2024
2024
Where Have All the Data Gone? Finding Frameworks for Improved Data Accessibility Within the Food-Energy Water Nexus
C Chini, R William, P Rao, L Marston, AS Stillwell, JR Stokes-Draut, ...
AGU23, 2023
2023
A high-resolution water supply budget for the United States: Contributions toward regular National Integrated Water Availability Assessments for national water resources
G Gorski, E Stets, J Padilla, A Martinez, H Corson-Dosch, MA Scholl, ...
AGU23, 2023
2023
Machine Learning Water Quality Predictions in the Here, Now, There, Then, and Soon
A Appling, JA Zwart, E White, SN Topp, TP Thompson, AM Snyder, ...
103rd AMS Annual Meeting, 2023
2023
Using Deep Learning and Site Clustering to Develop Predictions of In-stream Nitrate in Intensively Managed Watersheds
G Gorski, L Larsen, J Wingenroth, L Zhang, DG Bellugi
AGU Fall Meeting Abstracts 2022, H12E-01, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20