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Type: | Resource | |
Storage: | The size of this resource is 11.4 MB | |
Created: | May 22, 2024 at 3:50 p.m. | |
Last updated: | Jun 05, 2024 at 12:36 p.m. | |
DOI: | 10.4211/hs.1752781278c74d4ba52d986a73070c04 | |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 363 |
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Abstract
15-minute time-series data from flux tower at Goose Creek site, originally part of the NSF-IMLCZO project, currently NSF-CINet. Variables include: wind speed, carbon flux (NEE), pressure, precipitation, air temperature, relative humidity, 5cm depth soil moisture, 5cm depth soil temperature, solar radiation, ground heat flux. These are raw data, date range of 2016-2020, used in Farahani and Goodwell, 2024 (JGR Biogeosciences, DOI: 10.1029/2023JG007815): Causal Drivers of Land-atmosphere fluxes from machine learning models and data. The associated Github repository (https://github.com/allisongoodwell/Farahani_CarbonML2023) contains code for the outlier removal and pre-processing applied to this data, which were used for machine learning models for carbon flux prediction.
Subject Keywords
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Spatial
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Content
README.txt
README 15-minute time-series data from flux tower at Goose Creek site, originally part of the NSF-IMLCZO project, currently NSF-CINet. Variables include: wind speed, carbon flux (NEE), pressure, precipitation, air temperature, relative humidity, 5cm depth soil moisture, 5cm depth soil temperature, solar radiation, ground heat flux. Date range: 2016-2020 These are raw data used in Farahani and Goodwell, 2024 (JGR Biogeosciences, accepted): Causal Drivers of Land-atmosphere fluxes from machine learning models and data. The associated Github repository: https://github.com/allisongoodwell/Farahani_CarbonML2023 contains code for the outlier removal and pre-processing applied to this data, which were used for machine learning models for carbon flux prediction. Description of variables: NewDate: date rslt_wnd_spd: wind speed, 25m height, m/s Fc_li_wpl: net ecosystem exchange, 25m height, umolCO2/m2s amb_press_li_mean: air pressure, kPa Precip_Tot: precipitation, mm T_tmpr_rh_mean: air temperature, C RH_tmpr_rh_mean: relative humidity, % D5TE_VWC_5cm_Avg: soil moisture, 5cm depth, % D5TE_T_5cm_Avg: soil temperature, 5cm depth, C Rn_Avg: net radiation, W/m2 SQ_110_Avg: ground heat flux, W/m2 Contact for questions: Allison Goodwell, goodwel2@illinois.edu
Additional Metadata
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Associated Paper DOI | 10.1029/2023JG007815 |
Related Resources
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Science Foundation | Critical Interface Network (CINet) for Intensively Managed Landscapes | EAR-2012850 |
National Science Foundation | Critical Zone Observatory for Intensively Managed Landscapes | EAR-1331906 |
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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Mozhgan Askarzadehfarahani |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/![CC-BY](https://storage.googleapis.com/hydroshare-prod-static-media/static/img/cc-badges/CC-BY.04d377d96855.png)
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