Computational Solutions for Water Resources
Our comprehensive experience in hydrologic & hydraulic modeling, Geographic Information System (GIS) algorithms, and software development will bring new insights to the fields.
Hydrologic & Hydraulic Modeling
GIS Algorithms
Ongoing Projects
USDA Resilient Agricultural Water Community Systems (RAWCS)
- Water systems modeling for agricultural communities in the Western US using SWAT+MODFLOW
USGS Transboundary Aquifer Assessment Program (TAAP)
- Transboundary groundwater modeling for Southern New Mexico and Northern Mexico using ParFlow-CLM and global datasets
NMED NMPWRC Fate and Transport Modeling
- 1D fate and transport modeling of treated produced water in New Mexico using the open-source version of HYDRUS-1D
- Deterministic and probabilistic approaches
- Development of a user-friendly modeling framework
NSF Dynamics of Integrated Socio-Environmental Systems (DISES) (NMSU, etc.)
- Water and Community Resilience Through Spatial Integration of Ecohydrological Processes and Traditional Sociocultural Knowledge
- Water Availability Analysis Using SWAT
NSF Pathways to Enable Open-Source Ecosystems (POSE) (NCSU, NMSU, ASU, Yale)
- Phase II: Growing GRASS OSE for Worldwide Access to Multidisciplinary Geospatial Analytics
Past Projects
NMDOT Culvert Asset Management Program (CAMP) (Cortes, Cho)
- Statewide Culvert Capacity Analysis
- Development of an Early Flood Warning Framework
DOE NETL PARETO (Cho, EnergyMakers Advisory Group)
- Leveraging PARETO for Rare Earth Element/Critical Mineral (REE/CM) Recovery from Produced Water and Seismicity Response Optimization
-
CLAWRIM presented at AGU25
Ujjwal Marasini (PhD student), Madan Pokhrel (PhD student), Hari Shreesh (MS student), and I presented our projects at AGU25.
-
Fall 2025 PhD student position in surface water and groundwater interaction modeling
We invite applications for a funded PhD student position focused on surface water and…
-
Call for papers: Advances in Hydroinformatics for Water Data Management and Analysis, Volume II
Drs. Dan Ames, Gustavious Williams, Xiaohui Qiao, and I are running a Special Issue…
-
Call for papers: Big Data and Machine Learning in Hydrology: Recent Advances and Trends
I call for papers for a Special Issue of the Hydrology journal “Big Data…
-
Elected as an OSGeo Charter Member
I have been elected as an OSGeo Charter Member. OSGeo Charter Members serve as…
-
Gave an AI talk to the NMSU Engineering Advisory Council
I presented AI for Large-Scale Hydrologic Modeling at the NMSU Engineering Advisory Council Meeting.…
“All models are wrong.”
George Box
A British Statistician