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  3. Meteorological data from Pea Island National Wildlife Refuge, North Carolina, 9/13/2021 to 10/24/2021

Meteorological data from Pea Island National Wildlife Refuge, North Carolina, 9/13/2021 to 10/24/2021

Dates

Publication Date
Start Date
2021-09-13
End Date
2021-10-24

Citation

De Meo, O.A., Suttles, S.E., Marsjanik, E.D., and Sherwood, C.R., 2023, Meteorological data from Pea Island National Wildlife Refuge, North Carolina, 9/13/2021 to 10/24/2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9RZTFCQ.

Summary

Meteorological data were collected as part of the DUring Nearshore Event eXperiment (DUNEX) on Pea Island National Wildlife Refuge in North Carolina during 2021. The DUNEX project is a collaborative, multi-agency experiment designed to provide comprehensive measurements of storm-induced processes on coastal habitats. The overarching goals of this study are to understand oceanographic processes and their contribution to coastal morphological changes. These data will be used to improve storm forecasting models and prepare for future extreme weather events.

Contacts

Point of Contact :
Olivia A De Meo
Originator :
Olivia A De Meo, Steven E Suttles, Eric D Marsjanik, Christopher R Sherwood
Publisher :
U.S. Geological Survey
Data Owner :
Woods Hole Coastal and Marine Science Center
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Woods Hole Coastal and Marine Science Center
USGS Mission Area :
Natural Hazards

Attached Files

Click on title to download individual files attached to this item.

DUNEX_Met_Metadata.xml
“CSDGM metadata.”
Original FGDC Metadata
View 		19.4 KB application/fgdc+xml
11491wxt-a.nc
“Data in NetCDF format.” 		3.94 MB application/x-netcdf
DUNEX_Met_Browse.jpg
“Picture of the Vaisala WXT536 sensor mounted on a mast.” 		thumbnail 9.22 KB image/jpeg

Purpose

A Vaisala WXT536 meteorological station was installed on the beach to measure wind speed and direction, temperature, relative humidity, and rainfall. These data will be used in storm forecasting models.
Picture of the Vaisala WXT536 sensor mounted on a mast.
Picture of the Vaisala WXT536 sensor mounted on a mast.

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Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9RZTFCQ

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