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Ecosystem Site Anomaly Visualization Notebook Tool

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This notebook allows users to visualize anomalies in ecosystem variables. Daily averages for a selected year are compared to daily averages for a reference period of either 11 or 21 years. The results are aggregated to either months of the year, or kept as days of the year in which case all data for a selected month is plotted.

Eddy covariance fluxes at 73 sites that are part of the collection "Warm Winter 2020" have been considered for these analyses. The daily average values found in the files with the structure "FLX_SE-Deg_FLUXNET2015_FULLSET_DD_2001-2020_beta-3" are used. Considered variables include: Gross Primary Production (GPP) during daytime, shortwave incoming radiation and vapor pressure deficit. In this revised version of the tool, the quality flags linked to the variables have been implemented. Another change is that data from the 'ICOS release 2023-1 of Level 2 Ecosystem data' for the years 2021 and 2022 is now available for use in the tool. These years are accessible for a subset of sites, including DE-Kli, FR-Aur, CZ-wet, BE-Lon, DE-Gri, DE-Hai, SE-Deg, IT-Tor, FI-Let, FR-Fon, and FI-Hyy.

This archive contains scripts and data, in addition to the notebook, and the whole package is needed for the tool to run. An alternative to downloading the notebook package is to use the up-to-date version of the tool available on exploredata in the folder "icos_jupyter_notebooks". You can request a password for this service here: https://www.icos-cp.eu/data-services/tools/jupyter-notebook/exploredata-password. Observe that once you log out from exploredata, any changes will automatically be dropped.

2023
ICOS ERIC - Carbon Portal
flux anomalies, eddy covariance, meteorological anomalies, Warm Winter 2020, ICOS, greenhouse gas monitoring, visualization
Storm, I., Klasen, V., 2023. Ecosystem Site Anomaly Visualization Notebook Tool. ICOS ERIC - Carbon Portal. https://doi.org/10.18160/0GP0-HW10
BibTex
@misc{https://doi.org/10.18160/0gp0-hw10,
  doi = {10.18160/0GP0-HW10},
  url = {https://meta.icos-cp.eu/objects/RXZNNrZQ0Xq9yIhNxP1PjNB7},
  author = {Storm, Ida and Klasen, Verena},
  keywords = {flux anomalies, eddy covariance, meteorological anomalies, Warm Winter 2020, ICOS, greenhouse gas monitoring, visualization},
  title = {Ecosystem Site Anomaly Visualization Notebook Tool},
  publisher = {ICOS ERIC - Carbon Portal},
  year = {2023},
  copyright = {CC BY 4.0}
}
RIS
TY  - COMP
T1  - Ecosystem Site Anomaly Visualization Notebook Tool
AU  - Storm, Ida
AU  - Klasen, Verena
DO  - 10.18160/0GP0-HW10
UR  - https://meta.icos-cp.eu/objects/RXZNNrZQ0Xq9yIhNxP1PjNB7
AB  - This notebook allows users to visualize anomalies in ecosystem variables. Daily averages for a selected year are compared to daily averages for a reference period of either 11 or 21 years. The results are aggregated to either months of the year, or kept as days of the year in which case all data for a selected month is plotted.

Eddy covariance fluxes at 73 sites that are part of the collection "Warm Winter 2020" have been considered for these analyses. The daily average values found in the files with the structure "FLX_SE-Deg_FLUXNET2015_FULLSET_DD_2001-2020_beta-3" are used. Considered variables include: Gross Primary Production (GPP) during daytime, shortwave incoming radiation and vapor pressure deficit. In this revised version of the tool, the quality flags linked to the variables have been implemented. Another change is that data from the 'ICOS release 2023-1 of Level 2 Ecosystem data' for the years 2021 and 2022 is now available for use in the tool. These years are accessible for a subset of sites, including DE-Kli, FR-Aur, CZ-wet, BE-Lon, DE-Gri, DE-Hai, SE-Deg, IT-Tor, FI-Let, FR-Fon, and FI-Hyy.

KW  - flux anomalies
KW  - eddy covariance
KW  - meteorological anomalies
KW  - Warm Winter 2020
KW  - ICOS
KW  - greenhouse gas monitoring
KW  - visualization
PY  - 2023
PB  - ICOS ERIC - Carbon Portal
ER  -
282 MB (295184623 bytes)
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RXZNNrZQ0Xq9yIhNxP1PjNB74uUGyIHIHWoKzlagnXQ

Submission

2023-09-06 13:05:25
2023-09-06 13:04:04

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