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|Storage:||The size of this resource is 2.6 MB|
|Created:||Mar 08, 2021 at 5:25 a.m.|
|Last updated:|| Aug 30, 2021 at 3:52 p.m.
|Citation:||See how to cite this resource|
|Content types:||Multidimensional Content|
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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 and subsetting of the dataset in community modeling research. This notebook demostrates how to set up SUMMA models with CAMELS dataset from HydroShare using various tools integrated in the CyberGIS-Jupyter for Water (CJW) environment and execution of ensemble model runs on a supported High-Performance Computing (HPC) resource (XSEDE Comet or UIUC Virtual Roger) through CyberGIS-Compute Service.
How to run the notebook:
1) Click on the OpenWith button in the upper-right corner;
2) Select "CyberGIS-Jupyter for Water";
3) Open the notebook and follow instructions;
|Title||Owners||Sharing Status||My Permission|
|CyberGIS-Jupyter for Water (CJW) 2021 Q1 Release Notes||Zhiyu/Drew Li · Shaowen Wang · Anand Padmanabhan||Public & Shareable||Open Access|
|[Collection] Test CJW-Dev with easybuild||Zhiyu/Drew Li · Alexander Michels||Private & Shareable||None|
|Collection of CyberGIS-Jupyter for Water (CJW) Example Notebooks||Zhiyu/Drew Li||Public & Shareable||Open Access|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/