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Updated Products Page (#174)
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arpita0911patel authored Jul 15, 2024
2 parents b61e7ae + 0475579 commit 46626c2
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5 changes: 1 addition & 4 deletions docs/products/cses/index.md
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Community Streamflow Evaluation System (CSES) is a Python-based, user friendly, fast, and model agnostic streamflow evaluator tool. This tool can be used to evaluate any hydrological model that uses NHDPlus dataset. It allows a user to evaluate the performance of a hydrological model at the collocated USGS gauges and NHDPlus stream reaches. This Python-based tool helps visualize the results and investigate the model performance interactively. The current version of the tool is available on GitHub and can be accessed using the following link.

![Community Streamflow Evaluation System (CSES)](/img/streamfloweval.png)


import GitHubReadme from '@site/src/components/GitHubReadme';

<GitHubReadme username="whitelightning450" repo="Community-Streamflow-Evaluation-System" />
<GitHubReadme username="CIROH-UA" repo="Community-Streamflow-Evaluation-System" />

14 changes: 14 additions & 0 deletions docs/products/nwm_ml/index.md
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---
sidebar_position: 13
title: "NWM-ML"
description: "National Water Model - Machine Learning"
tags:
- NWM
- ML
- python
---

import GitHubReadme from '@site/src/components/GitHubReadme';

<GitHubReadme username="CIROH-UA" repo="NWM_ML" />

2 changes: 1 addition & 1 deletion docs/products/sweml/index.md
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import GitHubReadme from '@site/src/components/GitHubReadme';

<GitHubReadme username="whitelightning450" repo="SWEML"/>
<GitHubReadme username="CIROH-UA" repo="SWEML"/>
15 changes: 15 additions & 0 deletions docs/products/tethys-cses/index.md
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---
sidebar_position: 14
title: "Tethys-CSES"
description: "Community Streamflow Evaluation System (CSES) - Tethys Web Application"
tags:
- tethys
- cses
- ciroh

---

import GitHubReadme from '@site/src/components/GitHubReadme';

<GitHubReadme username="CIROH-UA" repo="Tethys-CSES" />

2 changes: 1 addition & 1 deletion docs/products/tethysportal/index.md
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- [Snow Inspector](https://github.com/BYU-Hydroinformatics/snow-inspector): Open-source web tool designed for visualizing and analyzing snow cover data using imagery from the MODIS_Terra satellite. It leverages interactive maps and time-series plots to provide insights into snow coverage and depth over specified periods. The application fetches data from NASA's GIBS WMTS service, processes the imagery to extract snow percentage values, and presents the information through a user-friendly interface. This tool is particularly valuable for researchers, hydrologists, and environmental scientists studying snow dynamics and their impact on water resources.
- [OWP Experimental App](https://github.com/Aquaveo/OWP): Open-source application designed to provide analysis assimilation, short-term, medium-term, and long-term forecasts for any river ID that appears in the anomaly layer of the National Water Model. It also integrates with the Google BigQuery API to perform the same analysis and forecasts for groups of reaches. Additionally, the app allows users to create reach groups from a CSV list of reaches, geometry data, or HydroShare resources.
- [Community Streamflow Evaluation System (CSES)](https://github.com/whitelightning450/Tethys-CSES): Open-source web application designed to evaluate hydrological model performance using the National Water Model (NWM) and USGS monitoring data. It provides interactive visualizations for over 5,000 monitoring sites, enabling users to analyze streamflow data and assess model accuracy. The application supports various evaluation methods, including state, reach, and HUC (Hydrologic Unit Code) evaluations, and leverages data from the Alabama Water Institute hosted on Amazon AWS S3. Researchers can also use a Python-based package for hands-on model evaluation and are encouraged to contribute to the development and integration of additional hydrological modeling components.
- [Community Streamflow Evaluation System (CSES)](https://github.com/CIROH-UA/Tethys-CSES): Open-source web application designed to evaluate hydrological model performance using the National Water Model (NWM) and USGS monitoring data. It provides interactive visualizations for over 5,000 monitoring sites, enabling users to analyze streamflow data and assess model accuracy. The application supports various evaluation methods, including state, reach, and HUC (Hydrologic Unit Code) evaluations, and leverages data from the Alabama Water Institute hosted on Amazon AWS S3. Researchers can also use a Python-based package for hands-on model evaluation and are encouraged to contribute to the development and integration of additional hydrological modeling components.

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