US-HVs: Happy Valley Wet Sedge Tundra

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Tower_team:
PI:	Akira Miyata amiyat@affrc.go.jp - National Agriculture and Food Research Organization
PI:	Yoshinobu Harazono harazono2009gl@gmail.com - Osaka Prefecture University
AncContact:	Masahito Ueyama miyabi-flux@muh.biglobe.ne.jp - Osaka Prefecture University
Lat, Long:	69.1672, -148.8569
Elevation(m):	320
Network Affiliations:	AmeriFlux
Vegetation IGBP:	WET (Permanent Wetlands: Lands with a permanent mixture of water and herbaceous or woody vegetation that cover extensive areas. The vegetation can be present in either salt, brackish, or fresh water)
Climate Koeppen:	ET (Tundra)
Mean Annual Temp (°C):	-10.29
Mean Annual Precip. (mm):	217
Flux Species Measured:	CO2, H, H2O, CH4
Years Data Collected:	1995 - 1995
Years Data Available:	AmeriFlux BASE 1995 Data Citation
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	This tower is located at Happy Valley.
URL:	—
Research Topics:	Energy & greenhouse gas fluxes between tundra ecosystem and the atmosphere.
Acknowledgment:	National Science Foundation, Arctic Systems Science, Land-Atmosphere-Ice-Interactions Program (OPP-9216109).

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Harazono Y, Yoshimoto M, Mano M Vourlitis V, Oechel W 1998. Characteristics of energy and water budgets over wet sedge and tussock tundra ecosystems at North Slope in Alaska, Hydrological Processes, 12, 2163-2183.

US-HVs: Happy Valley Wet Sedge Tundra

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DOI(s) for citing US-HVs data

Data Use Policy: AmeriFlux CC-BY-4.0 License

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AmeriFlux BASE: https://doi.org/10.17190/AMF/1964087
Citation: Akira Miyata, Yoshinobu Harazono (2023), AmeriFlux BASE US-HVs Happy Valley Wet Sedge Tundra, Ver. 1-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1964087

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US-HVs: Happy Valley Wet Sedge Tundra

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US-HVs: Happy Valley Wet Sedge Tundra

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US-HVs: Happy Valley Wet Sedge Tundra

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ORNL DAAC. 2018. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567

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PhenoCam Images and Derived Time Series Data

PhenoCams are high-resolution digital cameras that take repeated images of studied ecosystems and provide quantitative information about the canopy phenology. The PhenoCam Network coordinates the camera installation and data reporting/analyses across sites in the Americas, providing automated, near-surface remote sensing of canopy phenology across a range of ecosystems and climate zones. Use of PhenoCam images / data should follow the PhenoCam Data Use Policy .

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GeoNEX led by NASA Earth eXchange (NEX) is a collaborative effort for generating Earth monitoring products from the new generation of geostationary satellite sensors. GeoNEX has produced a suite of geostationary data products including surface reflectance, land surface temperature, surface solar radiation, and many others.

The GeoNEX Common Grid locates GeoNEX data in the geographic (latitude/longitude) projection. Pixels (grid cells) are created at regular 0.005°, 0.01°, and 0.02° resolutions.

GeoNEX pixels below cover the area 0.06° x 0.06° around and including site US-HVs, 69.1672, -148.8569.

Site US-HVs is outside of the GeoNEX data domain.

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This material can be used without obtaining permission from NASA. NASA should be acknowledged as the source of this material.

Subset Data Citation:

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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GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)

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.

GeoNEX Surface Downward Solar Radiation (DSR):

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.

GeoNEX Land Surface Temperature (LST):

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.

US-HVs: Happy Valley Wet Sedge Tundra

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Search Publications for this Site Publications Found: 2

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Year	Publication
2006	Harazono Y, Mano M, Miyata A, Yoshimoto M, Zulueta RC, Vourlitis V, Kwon H, Oechel W (2006) Temporal and spatial differences of methane flux at arctic tundra in Alaska, emoirs of National Institute of Polar Research. Special issue, 59, 79-95.
1998	Harazono Y, Yoshimoto M, Mano M Vourlitis V, Oechel W (1998) Characteristics of energy and water budgets over wet sedge and tussock tundra ecosystems at North Slope in Alaska, Hydrological Processes, 12, 2163-2183.

US-HVs: Happy Valley Wet Sedge Tundra

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US-HVs: Happy Valley Wet Sedge Tundra

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US-HVs: Happy Valley Wet Sedge Tundra

US-HVs: Happy Valley Wet Sedge Tundra

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US-HVs: Happy Valley Wet Sedge Tundra

US-HVs: Happy Valley Wet Sedge Tundra

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US-HVs: Happy Valley Wet Sedge Tundra

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US-HVs: Happy Valley Wet Sedge Tundra

US-HVs: Happy Valley Wet Sedge Tundra

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