US-TLR: Timberlake Observatory for Wetland Restoration (TOWeR)

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Tower_team:
PI:	Camilo Rey-Sanchez areysan@ncsu.edu - North Carolina State University
DataManager:	Darian Ng dcng@ncsu.edu - North Carolina State University
Lat, Long:	35.9168, -76.1463
Elevation(m):	1
Network Affiliations:	AmeriFlux
Vegetation IGBP:	MF (Mixed Forests: Lands dominated by trees with a percent cover >60% and height exceeding 2 meters. Consists of tree communities with interspersed mixtures or mosaics of the other four forest types. None of the forest types exceeds 60% of landscape.)
Climate Koeppen:	Cfa (Humid Subtropical: mild with no dry season, hot summer)
Mean Annual Temp (°C):	19
Mean Annual Precip. (mm):	469.4
Flux Species Measured:	CO2, CH4, H, H2O
Years Data Collected:	2024 - 2024
Years Data Available:	No data available
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	This tower is located in Timberlake Forest, a restored forested wetland located 4 km from Albermarle Sound on the North Carolina coast. The forest to ... This tower is located in Timberlake Forest, a restored forested wetland located 4 km from Albermarle Sound on the North Carolina coast. The forest to the south of the tower had historically been ditched, drained and converted to agricultural land, and subsequently reforested with Black Gum and Cypress trees and naturally re-wetted in 2006. This southern region has a bottomland forest ecosystem which saw a large-scale succession event of pine trees following the reforestation efforts. The northern part of the forest had been ditched, but never drained or converted for other land uses. It is much wetter and more sparsely vegetated when compared to the southern region, and has a mixed bottomland forest and swamp ecosystem. See More Show Less
URL:	https://ibiomet.com/
Research Topics:	Eddy covariance flux processing
Acknowledgment:	—

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US-TLR: Timberlake Observatory for Wetland Restoration (TOWeR)

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US-TLR: Timberlake Observatory for Wetland Restoration (TOWeR)

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US-TLR: Timberlake Observatory for Wetland Restoration (TOWeR)

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Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.

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Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.

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Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.

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Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.

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US-TLR: Timberlake Observatory for Wetland Restoration (TOWeR)

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