Leatherback Nest Loss Project GEOG 489
This project had two goals: 1) To determine whether Python could be used to calculate the number of leatherback (Dermochelys coriacea) sea turtle nests lost to tide-caused drowning each year, and 2) to determine whether a trend in the location of the tide lines could be detected, given the data at hand The study area for this project was Matura Beach, on the western coast of Trinidad (Trinidad and Tobago, West ...
Notebooks
New NotebookRetrieve a large number of model outputs using Globus within CyberGIS-Compute
This notebook demonstrates how to use Globus within CyberGIS-Compute to retrieve a large number of outputs generated by a model executed on HPC, which is often needed for postprocessing work performed on CJW A new “data transfer” job type is provided for moving data from HPC back to the CJW Jupyter environment Under the hood, this new job type utilizes the Globus service ...
A More Reproducible CyberGIS-Jupyter for Water (CJW)
Most of this notebook is going over advanced options and technical details behind our new design on CJW There are however a few key things all users should know: 1 What do the different kernel names/versions mean 2 Paths to some executables might have changed 3 We have a new cjw command to manage kernel ...
HAND and Flood Emergency Response
This Jupyter notebook illustrates the HAND workflow and its use in example flood emergency scenarios The study area is Onion Creek (HUC10 code 1209020504) This is also a demonstration of conducting geospatial anlysis with opensource toolkits (gdal) using an online Jupyter interface Environment required: CyberGIS-Jupyter for ...
Run WRF&WRFHydro Coupled Training v5.1.2 on CyberGIS-Jupyter for Water
The HydroShare project is pleased to bring you this notebook that can set up a run-time environment on the CyberGIS-Jupyter for Water (CJW) platform for WRF&WRF-Hydro Coupled Testcase Online Lesson (v512) In contrast to the Docker-based local setup, this HydroShare solution does not require installation or downloading of any software or data onto your local computer, and it enables you to access ...
Run WRFHydro Hands-on Training v5.2.x on CyberGIS-Jupyter for Water
The HydroShare project is pleased to bring you this notebook that can set up a run-time environment on the CyberGIS-Jupyter for Water (CJW) platform for WRFHydro Hands-on Training v52x (Nov 2020) In contrast to the Docker-based local setup, this HydroShare solution does not require installation or downloading of any software or data onto your local computer, and it enables you to access to more ...
Modeling CAMELS Basins with SUMMA on CyberGIS-Jupyter for Water (CJW)
CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) is a large-sample hydrometeorological dataset that provides catchment attributes, forcings and GIS data for 671 small- to medium-sized basins across the CONUS (continental United States) HydroShare hosts a copy of CAMELS and exposes it through different public data access protocols (WMS, WFS and OPeNDAP) for easy visualization ...
Blog Posts
New Blog Post
Reflections on the Geospatial Fellowship program
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Story Map on COVID-19 Research
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Bottom-up approach to epidemic modeling and access to high-performance computing infrastructure
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Middlebury College Students Reproduce and Replicate COVID-19 Health Care Resource Accessibility Study
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Age and Morbidity Trends related to COVID-19
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Presentation: Working with Students to Reproduce COVID-19 Research to Establish the Credibility of Findings and Accelerate Policymaker Adoption
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