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Type: | Resource | |
Storage: | The size of this resource is 11.8 MB | |
Created: | Jun 27, 2024 at 2:25 p.m. | |
Last updated: | Jun 27, 2024 at 2:39 p.m. | |
Citation: | See how to cite this resource | |
Content types: | Geographic Feature Content |
Sharing Status: | Public |
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Views: | 284 |
Downloads: | 9 |
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Abstract
This resource provides water depth data collected during a significant rainfall event on September 29, 2023, in Hoboken, NJ, capturing high water marks and visual documentation of the flood extent. The included HTML file offers a spatial visualization of the measurements, while the CSV file provides a summary of the locations of high water marks above ground level, critical for flood modeling efforts. Additionally, the accompanying images within the ZIP file serve as a qualitative tool for assessing the accuracy and realism of flood inundation models. This resource was developed as part of the activities for developing low-cost flood sensors under the CUAHSI INSTRUMENTATION DISCOVERY TRAVEL GRANT. It serves as a supportive tool for validating and calibrating water depth measurements obtained from these sensors.
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Readme.txt
High Water Marks and Flood Extent During the September 29, 2023 Rainfall Event in Hoboken, NJ This HydroShare resource encompasses water depth data collected during a significant rainfall event on September 29, 2023, in Hoboken, NJ. The resource is designed to support urban flood management research by providing data useful for the calibration and validation of flood inundation models. Resource Contents: - HTML File: Displays the locations of the measurements integrated with images to visually represent the flood extent and depth observed during the event. - CSV File: Contains precise locations and measurements of high water marks (HWMs) recorded above ground level, which are essential for accurate flood modeling. - ZIP File: Includes a collection of images from the event, depicting the flood extent. These images are instrumental for qualitative assessments of flood inundation models. Usage Note: Users should note that the high water marks provided in this dataset are measured above ground level, which is crucial for integrating this data into models calibration or validation process.
Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
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CUAHSI | IDGT |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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