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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Data Sets: Estimating scalar turbulent fluxes with slow-response sensors in the stable atmospheric boundary layer

Authors: Allouche, Mohammad; Sevostianov, Vladislav I.; Zahn, Einara; Zondlo, Mark; Dias, Nelson Luís; Katul, Gabriel G.; Fuentes, Jose D.; +1 Authors

Data Sets: Estimating scalar turbulent fluxes with slow-response sensors in the stable atmospheric boundary layer

Abstract

Date of data analysis: Statistical analyses conducted throughout the 2023 year Information about funding sources that supported the collection of the data: The research was supported by the Cooperative Institute for Modeling the Earth System at Princeton University under Award NA18OAR4320123 from the National Oceanic and Atmospheric Administration, and by the US National Science Foundation under award number AGS 2128345. Also, it was supported by the National Defense Science and Engineering Graduate Fellowship from the U.S. Department of Defense and Army Research Office. Similarly, the National Science Foundation provided support to complete the PHOXMELT field studies (Grant PLR- 1417914) to collect the data. Also, the study was supported by the U.S. National Science Foundation (NSF-AGS-2028633) and the Department of Energy (DE-SC0022072). The statements, findings, conclusions, and recommendations are those of the authors and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration. This dataset contains the observational data for the two field experiments (Barrow and Wendell) in .nc file format.

Keywords

Scalar turbulent fluxes, Stable atmospheric boundary layer, Modeling fluxes, Slow-response sensors

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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