ABSTRACT:

This is only for Jerson's work purposes. Feel free to use it but it might mean nothing to your work.

ABSTRACT:

This is just a replication of model. It has not been finalized. Please don't use this data except for testing purposes.

ABSTRACT:

RCLONE test

ABSTRACT:

SWOTVIZ Example Notebooks

Synced via GitHub action:
https://github.com/CUAHSI/SWOT-Data-Viewer/blob/develop/.github/workflows/frontend-gh-pages.yml

From this location in the repository:
https://github.com/CUAHSI/SWOT-Data-Viewer/tree/develop/frontend/public/notebooks

Rendered for example here:
https://swotvis-staging.cuahsi.io/#/notebooks

ABSTRACT:

Collection of SwotViz Example Notebooks

Staging made available at:
https://swotvis-staging.cuahsi.io/#/notebooks

ABSTRACT:

This resource includes a Jupyter notebook that offers a hands-on walkthrough for accessing, exploring, and analyzing global river discharge data derived from the SWOT (Surface Water and Ocean Topography) mission using the SWORD of Science (SoS) dataset. Using NASA's Earthdata earthaccess API and xarray, users learn how to search for and load SWOT SoS granules directly from the cloud without needing to download large files locally. The notebook guides users through identifying SWORD river reaches along a river of interest (e.g., the Rhine), visualizing reach centroid locations on an interactive map, and extracting reach-specific discharge time series from selected discharge algorithm outputs (e.g., HiVDI).

ABSTRACT:

This resource provides a Jupyter notebook designed to evaluate river discharge estimates from the Surface Water and Ocean Topography (SWOT) mission using the SWORD of Science (SoS) dataset. The SWOT SoS products, developed by the Discharge Algorithm Working Group (DAWG), include both unconstrained (satellite-only) and gauge-constrained (calibrated with in-situ data) estimates. In this notebook, we focus on validating the unconstrained discharge estimates using independent streamflow observations obtained through the Surface Water and Ocean Topography Hydrology Community Discharge repository (SWOT SHCQ). The SHCQ serves as a community-driven place for gathering in-situ hydrologic data and plays a critical role in constraining and validating SWOT-derived discharge parameters, particularly within the SWOT Confluence processing framework and in future product releases. By comparing unconstrained estimates to trusted ground-based observations, the notebook provides insights into the performance of SWOT algorithms and supports efforts to enhance the accuracy and usability of SWOT hydrology products across diverse river systems.

This notebook walks users through a hands-on workflow to access and explore SWOT discharge data produced by SoS. These datasets include both unconstrained estimates, which rely solely on SWOT observations and hydrologic modeling, and gauge-constrained estimates, which incorporate in-situ measurements for improved accuracy. Users will learn how to query and open SWOT SoS data in the cloud using the earthaccess API and xarray, identify river reaches of interest (e.g., the Rhine River), visualize those reaches on an interactive map, and extract discharge time series for individual reaches from selected algorithms. By linking satellite-derived estimates with ground-based observations, this workflow supports validation efforts and enhances the usability of SWOT products for local and global hydrologic research.

ABSTRACT:

This resource contains Jupyter notebook that visualizes the SWOT (Surface Water and Ocean Topography) longitudinal profile data and modifies vertical datum and units.

The SWOT satellite measures water surface elevation, width and slope. It was launched in December 2022. It sees nearly all global rivers and lakes. For higher-latitude places such as Alaska, places are usually 3 or 4 times per 21-day cycle.

This notebook pulls, manipulates, and displays SWOT data.

ABSTRACT:

new resource