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USGS Stream Gauge 0204295505 at Little Neck Creek, Virginia Beach, VA, and Associated Weather Data (2016–2022) in CSV Format
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| Type: | Resource | |
| Storage: | The size of this resource is 35.7 MB | |
| Created: | Oct 13, 2025 at 2:47 p.m. (UTC) | |
| Last updated: | Oct 13, 2025 at 3:25 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Public |
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| Views: | 47 |
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Abstract
This resource includes time series records from June 21, 2016, to the end of June 3, 2024, collected at the USGS Little Neck Creek (LNC) stream gauge (Station ID: 0204295505, Coordinates: 36.8593, -75.9845)~\cite{USGS_0204295505} in Virginia Beach, VA. Data were compiled to support the development of machine learning models to forecast water levels 24 to 72 hours in advance at the LNC location. These models leverage the relationship between the predicted water level and stream gauge measurements, as well as weather data retrieved via the Meteostat API~\cite{MeteoStatPython} for the Virginia Beach/Gatewood Park station (Coordinates: 36.8227, -76.0319). The LNC stream gauge is a sentinel monitoring site for the City of Virginia Beach, as its water height is directly correlated with flood conditions in surrounding streets. The gauge provides six-minute interval measurements of water level, wind speed/direction, and precipitation. Complementary hourly data, including air pressure, temperature, and dew point, were obtained from the Meteostat API for the same time period. No pre-processing or scaling has been applied to the dataset. The dataset includes eight variables: Date-Time, Water Level (feet), Wind Speed (mph), Wind Direction (Degrees), Precipitation (inches),Temperature (\textdegree F), Dew Point (\textdegree C), and Atmospheric Pressure (hPa).
Subject Keywords
Coverage
Spatial
Temporal
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Content
readme.md
USGS Stream Gauge 0204295505 at Little Neck Creek, Virginia Beach, VA, and Associated Weather Data (2016–2022) in CSV Format
The data are contained in a single CSV file: LittleNeckCreek_MeteoStat_2016_2024.csv
Description
Fields indicated as measured at LNC were measured at the Little Neck Creek (LNC) USGS stream gauge (Station ID: 0204295505. https://waterdata.usgs.gov/monitoring-location/USGS-0204295505
Fields indicated as measured at GP were retrieved by the Meteostat API for the Virginia Beach/Gatewood Park station. https://meteostat.net/en/station/KNTU0
The data are in CSV format.
No pre-processing or scaling has been applied to the dataset.
Fields:
- dt_est: Date and time for the observation in M/d/YY h:mm format.
- water_val: water level (feet), measured at LNC, relative to NAVD88.
- wind_speed_val: wind speed (mph), measured at LNC.
- wind_dir_val: wind direction (degrees), measured at LNC.
- precip_val: precipitation (inches), measured at LNC.
- temp: temperature (°Fahrenheit), measured at GP.
- dwpt: dew point (°Celsius), measured at GP.
- pres: atmospheric pressure (hPa), measured at GP.
Related Resources
| The content of this resource is derived from | U.S. Geological Survey. National Water Information System data for Little Neck Creek at Pinewood RD at VA Beach, VA, USGS 0204295505. https://waterdata.usgs.gov/monitoring-location/0204295505/, 2025. DOI: http://dx.doi.org/10.5066/F7P55KJN. |
| The content of this resource is derived from | Christian Sebastian Lamprecht. MeteoStat python library. Software available at https://pypi.org/project/meteostat/, 2025. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| U.S. Department of Energy | Contract No. DE-AC05-06OR23177 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
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| Hampton Roads Biomedical Research Consortium | In association with the Joint Institute for Advanced Computing between Old Dominion University and Jefferson Lab |
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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