HydroCS

HydroCS

HydroCS (Hydrologic Computational Science) is Dr. Huidae Cho’s research group in the Department of Civil and Environmental Engineering at New Mexico State University (NMSU). Our research focuses on the broad applications of Geographic Information Systems (GIS) and computational methods to water resources informatics and modeling. We are pioneering Hydrologic Computational Science!

About Us

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

Software Development

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

USGS Water Resources Research Act 104b (Cho)

  • New Mexico Statewide Drought Vulnerability Analysis Under Future Climate Change Scenarios Using a Physically-Based Coupled Model
  • VIC + MODFLOW

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

News

  • MEUFL is available across multiple ecosystems

    MEUFL (Cho, 2026; https://doi.org/10.1016/j.envsoft.2026.107045) is now available across multiple open-source software ecosystems: Currently, the Python, R, and QGIS interfaces depend on the MIDAS C library. MEUFL is a memory-efficient upstream flow length HPC algorithm, designed…

    —

    by

    hcho
    in

“All models are wrong.”

George Box

A British Statistician