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I was invited and gave a seminar “Rapid Flow Accumulation Using GRASS GIS r.flowaccumulation” on November 26, 2024 and a workshop “Physically-Based Hydrologic Modeling Using GRASS GIS” on November 27 and 29, 2024 for the Osaka Metropolitan University (OMU) Science Frontier Geoscience Seminar Series (translated). Drs. Venkatesh Raghavan (right), Xianfeng Song (center), and I hold…

Five graduate students from CLAWRIM presented their research projects at the 2024 New Mexico Water Conference.

Three graduate students from CLAWRIM, Abdullah Azzam, Ujjwal Marasini, and Asad Reshad, are awarded the NM WRRI Student Water Research Grant for $7,500 each. Congratulations!

I am invited to deliver a research talk “Parallel Processing Methods for Big Data in Hydrology” for the Kyungpook National University (KNU) Global Seminar Series (translated).

A new paper on the Memory-Efficient Watershed Delineation (MESHED) parallel algorithm “Avoid backtracking and burn your inputs: CONUS-scale watershed delineation using OpenMP” is just published in Environmental Modelling & Software. Check its author’s version and source repository. The final version of the paper will freely be available for the next 50 days through this link.

I am invited to give a seminar “Memory-Efficient Flow Accumulation Computing Using GRASS GIS” for the Osaka Metropolitan University (OMU) Science Frontier Geoscience Seminar Series (translated) and a workshop “Physically-Based Hydrologic Modeling Using GRASS GIS” at the OMU Graduate School of Science.

I presented the “Evolution of GRASS GIS” and “An OpenMP Algorithm for Delineating a Large Number of Watersheds” at the Free and Open Source Software for Geospatial North America (FOSS4G NA) 2024 Conference.

The Memory-Efficient Watershed Delineation (MESHED) OpenMP parallel algorithm is released under GPL v3 as part of the Memory-Efficient I/O-Improved Drainage Analysis System (MIDAS).

This is the objective function surface of an unsteady 2D HEC-RAS model that minimizes the volume error and maximizes the NSE by trying 10,000 different combinations of the curve number and Manning’s n. That best model (still with a 5.75% volume error) is very hard to find on a relatively flat valley. Calibrating the RAS…