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Physically-Based Hydrologic Modeling Using GRASS GIS - r.topmodel [tutorial]
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workshop.isnew.info/omu-2024-r <-- link to technical resource / workshop / tutorial
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“This workshop will introduce r.topmodel (Cho 2000), the GRASS GIS module for a physically-based hydrologic model called TOPMODEL (Beven 1984)..."
#GIS #spatial #mapping #water #hydrology #Hydrologic #model #Modeling #GRASS #GRASSGIS #topmodel #workshop #tutorial #onlinelearning #TopographyModel #catchments #R #SAGA #module #ISPSO #particleswarmoptimization #algorithm #continuingeducation

Avoid Backtracking And Burn Your Inputs - CONUS-Scale Watershed Delineation Using OpenMP
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doi.org/10.1016/j.envsoft.2024 <-- shared paper
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“HIGHLIGHTS
• A memory-efficient watershed delineation algorithm was introduced.
• The new algorithm uses a node-skipping depth-first search to save memory.
• Both input and output data are stored in a shared matrix to reduce required memory.
• It performed 95% faster than its CPU benchmark algorithm using 33% less memory.
• It can solve 50% larger problems than what the CPU benchmark algorithm can handle..."
#GIS #spatial #mapping #hydrology #water #code #algorithm #watershed #delineation #OpenMP #opensource #memory #efficient #CPU #benchmark #MESHED #model #modeling #largescale #catchments

As snow falls and daylight dims, the final sessions of #AGU22 begin. We're settling in for a few hours of Catchment and Critical Zone Science – Understanding Ecosystems Through Monitoring, Analysis, and Experimentation.

🔗 🗓️ : bit.ly/3hDEYch

Convened by Big Data Cluster collaborator Jamie Shanley and features a wide range of #CriticalZone research questions looking at #watershed #catchments