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Overview Research Site Status and Provenance Access and Downloads
Dataset Title
Greenhouse gas flux measurements at the zero curtain, North Slope, Alaska, 2012-2025
Dataset DOI
https://dx.doi.org/10.18739/A20Z70Z1H
Related Paper DOIs (one per line)
https://doi.org/10.5194/bg-19-5953-2022
https://doi.org/10.1088/1748-9326/abe2d1
https://doi.org/10.1111/gcb.15193
https://doi.org/10.1088/1748-9326/ab4d32
https://doi.org/10.1029/2019JG005242
https://doi.org/10.1029/2018JG004444
https://doi.org/10.3390/rs9121227
https://doi.org/10.1016/j.agrformet.2016.07.008
https://doi.org/10.3390/rs8120978
https://doi.org/10.1073/pnas.1516017113
https://doi.org/10.1007/s11104-014-2377-1
https://doi.org/10.1127/0941-2948/2006/0167
Abstract
Overview- This project proposes to create a long-term, year-round field observations to better understand the controls on greenhouse gas (GHG) emissions from the Arctic at time scales that will encompass significant climate change and variability. Research over decadal time frames is critical for understanding the effect of climate variability and change on carbon dioxide (CO2) and methane (CH4) fluxes and to provide the baseline needed to evaluate temporal changes. This is particularly relevant in arctic ecosystems where the large spatial heterogeneity prevents using nearby stations to build a time series in the GHG emissions, given that fluxes can vary substantially over the meter scale. This project will allow creating the longest running year-round Arctic eddy covariance network, and to standardize, upgrade, and apply the network to improve understanding of the long-term effects of climate variability and change on trace gas feedbacks from the Arctic. This project will make existing data more useful and relevant and will expand an already large user base. A special emphasis will be on the fall zero curtain period when an unfrozen soil layer hovers around 0°Celsius (C) supporting significant CO2 and CH4 releases to the atmosphere, and the entire cold season (Zona et al., 2016). Zero curtain processes plausibly explain how upland tundra can be a larger emitter of CH4 than low-lying, wet tundra, and how the cold seasons might emit more CH4 than the summer season (Zona et al., 2016, Commane et al., 2017). At present, however, cold season observations are too short to adequately test hypotheses concerning the controlling mechanisms or to develop understanding that allows us to predict, with confidence, future CO2 and CH4 fluxes form the Arctic. Five Arctic eddy covariance flux towers will be used to evaluate the long term changes in the CO2 and CH4 fluxes across three moisture environments in Barrow (recently renamed as Utqiaġvik) (CMDL (Climate Monitoring and Diagnostics Laboratory), BEO (Barrow Environmental Observatory), and BES (Biocomplexity Experiment South) towers) and a ~300km latitudinal gradient passing through Atqasuk (ATQ) and culminating in Ivotuk (IVO). These measurements are intended to be of sufficient duration and breadth to capture and interpret the effect of extreme and/or unexpected events on GHG fluxes in the Arctic. The support from this grant would allow expansion of the time series to a more than 20-year record of CO2 and 11-year record of CH4 fluxes, resulting in an unprecedented dataset, critical to refining our analytical and predictive ability of the controls of CH4 loss from the Arctic.
Program Affiliations
GWF: Global Water Futures
GWFO: Global Water Futures Observatories
Related Research Project(s)
Related ProjectPart
GWF-NWF: Northern Water Futures
Creators and Contributors
NameRoleEmailInstitution
Donatella Zona
dzona@mail.sdsu.edu
San Diego State University
Keywords
Keyword
carbon fluxes
methane fluxes
Temporal Extent
Begin Date
End Date
2013-07-10
2022-12-31
Geographic Bounding Box
West Boundary Longitude
-156.7886
East Boundary Longitude
-156.7886
North Boundary Latitude
71.2906
South Boundary Latitude
71.2906
Is Boundary Rectangular
○ Yes
◉ No
Research Site Description (if needed)
Barrow, Atqasuk, Ivotuk. North Slope of Alaska
Research Site Location
Map Not Available
Display
View on Global Map
Dataset Version
79
Dataset Creation Date
2025-12-29
Status of data collection/production
○ Planned
◉ In Progress
○ Abandoned
○ Complete
○ Web Service
Data Update Frequency
○ Continually
○ Daily
○ Weekly
○ Biweekly
○ Monthly
○ Anually
○ As needed
○ Irregular
○ None planned
◉ Unknown
Primary Source of Data
◻ Unknown/Unspecified
◻ Census
◻ Field collected samples
◻ Field experiment
▣ Field observation
◻ Field survey
◻ Human biological samples
◻ Lab experiment
◻ Model simulation
◻ Previously collected
◻ Qualitative (from observations or interviews)
◻ Social survey
◻ Traditional knowledge
◻ Other Source of Data (Please specify in field below)
Terms of Use
This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ .
Does the data have access restrictions?
▣ No restriction (data is currently open to public)
◻ Limited (data is currently under embargo until publication)
◻ Limited (data involves intellectual property issues related to local or traditional knowledge)
◻ Limited (release of data may cause harm to the environment or to the public)
◻ Limited (pre-existing data has been used and is subject to access restrictions)
◻ Limited (data involves human subjects)
◻ Limited (data is supported by industry partnerships)
◻ Limited (data is supported by government partnerships)
Datasets and Real-time Data Feeds
Data Centre Postings
File formats and online databases
◻ Link to online database or web services (e.g., WISKI, ECCC)
◻ Archive files (.zip, .rar, .7z, .tar, .tgz, .tar.gz, etc.)
▣ CSV files (.csv - comma or tab separated value files)
◻ Excel document files (.xlsx, .xls)
◻ Image files (e.g., .tiff, .jpeg, .png, .gif, etc.)
◻ NetCDF files (.netcdf, .nc)
◻ Text files (.txt)
◻ Word document files (.docx, .doc)
▣ Other (Please specify in field below)
Other Data Formats (if applicable)
.xml
List of Parameters and Variables
Parameter/VariableUnitFrequencySource
H
W m⁻²
ATQ_fluxes_, BEO_fluxes_, BES_fluxes_, CMDL_fluxes_, IVO_fluxes_*
LE
W m⁻²
ATQ_fluxes_, BEO_fluxes_, BES_fluxes_, CMDL_fluxes_, IVO_fluxes_*
co2_flux
µmol m⁻² s⁻¹
All flux CSVs
ch4_flux
µmol m⁻² s⁻¹
All flux CSVs
h2o_flux
mmol m⁻² s⁻¹
All flux CSVs
co2_molar_density
mmol m⁻³
All flux CSVs
co2_mole_fraction
µmol mol⁻¹
All flux CSVs
co2_mixing_ratio
µmol mol⁻¹
All flux CSVs
air_temperature
K
All flux CSVs
air_pressure
Pa
All flux CSVs
qc_H
quality flag
All flux CSVs
qc_LE
quality flag
All flux CSVs
qc_co2_flux
quality flag
All flux CSVs
qc_ch4_flux
quality flag
All flux CSVs
qc_h2o_flux
quality flag
All flux CSVs
Air_T_AVG
°C
Meteorological CSVs
HMP_AirT_AVG
°C
Meteorological CSVs
Panel_T_AVG
°C
Meteorological CSVs
RH_AVG
%
Meteorological CSVs
HMP_RH_AVG
%
Meteorological CSVs
WS_MS_S_WVT
m s⁻¹
Meteorological CSVs
WD_D1_WVT
degrees
Meteorological CSVs
WD_SD1_WVT
degrees
Meteorological CSVs
Wind_Spd
m s⁻¹
Meteorological CSVs
Wind_Dir
degrees
Meteorological CSVs
Press_mb_AVG
mb (millibar)
Meteorological CSVs
Air_Pressure
kPa
Meteorological CSVs
Air_Pressure
Pa
Meteorological CSVs
PAR_AVG
µmol m⁻² s⁻¹
Meteorological CSVs
PAR_Up_AVG
µmol m⁻² s⁻¹
Meteorological CSVs
PAR_Down_AVG
µmol m⁻² s⁻¹
Meteorological CSVs
PAR_DOWN_AVG
µmol m⁻² s⁻¹
Meteorological CSVs
Rsolar_AVG
W m⁻²
Meteorological CSVs
Rnet_Raw_AVG
W m⁻²
Meteorological CSVs
Rnet_NWC_AVG
W m⁻²
Meteorological CSVs
Rnet_WC_AVG
W m⁻²
Meteorological CSVs
SS_Tl_R_AVG
µmol m⁻² s⁻¹
Meteorological CSVs
SS_Dif_R_AVG
µmol m⁻² s⁻¹
Meteorological CSVs
Total_Rad
W m⁻²
Meteorological CSVs
Rn
W m⁻²
Meteorological CSVs
PPT_TOT
mm
Meteorological CSVs
Rain_tot
mm
Meteorological CSVs
SnowDepth
m
Meteorological CSVs
Snow_Depth_Avg
m
Meteorological CSVs
Snow depth sensor
m
Meteorological CSVs
G_1_AVG
W m⁻²
Meteorological CSVs
G_2_AVG
W m⁻²
Meteorological CSVs
G_3_AVG
W m⁻²
Meteorological CSVs
G_4_AVG
W m⁻²
Meteorological CSVs
G_5_AVG
W m⁻²
Meteorological CSVs
G_All4_Av_AVG
W m⁻²
Meteorological CSVs
Tsurf
°C
Meteorological CSVs
T_Temp_C_AVG
°C
Meteorological CSVs
Soil_1_AVG
°C
Meteorological CSVs
Soil_2_AVG
°C
Meteorological CSVs
Soil2_1_AVG
°C
Meteorological CSVs
Soil2_2_AVG
°C
Meteorological CSVs
P3_SolT5_AVG
°C
Meteorological CSVs
P3_SolT15_AVG
°C
Meteorological CSVs
P3_SolT30_AVG
°C
Meteorological CSVs
P4_SolT5_AVG
°C
Meteorological CSVs
P4_SolT15_AVG
°C
Meteorological CSVs
P4_SolT30_AVG
°C
Meteorological CSVs
ST_1_AVG
°C
Meteorological CSVs
ST_2_AVG
°C
Meteorological CSVs
ST_3_AVG
°C
Meteorological CSVs
ST_4_AVG
°C
Meteorological CSVs
ST_5_AVG
°C
Meteorological CSVs
ST_6_AVG
°C
Meteorological CSVs
SoilT1_0
°C
Meteorological CSVs
SoilT1_10
°C
Meteorological CSVs
SoilT1_20
°C
Meteorological CSVs
SoilT1_30
°C
Meteorological CSVs
SoilT1_40
°C
Meteorological CSVs
SoilT2_0
°C
Meteorological CSVs
SoilT2_10
°C
Meteorological CSVs
SoilT2_20
°C
Meteorological CSVs
SoilT2_30
°C
Meteorological CSVs
SoilT2_40
°C
Meteorological CSVs
SoilT3_*
°C
Meteorological CSVs
SoilT4_*
°C
Meteorological CSVs
SoilD_T_*
°C
Meteorological CSVs
SWC_1_AVG (ATQ)
%
Meteorological CSVs
SWC_2_AVG (ATQ)
%
Meteorological CSVs
SWC_3_AVG (ATQ)
%
Meteorological CSVs
SWC_4_AVG (ATQ)
%
Meteorological CSVs
P2_SWC_5_AVG (ATQ)
%
Meteorological CSVs
P2_SWC_15_AVG (ATQ)
%
Meteorological CSVs
P2_SWC_30_AVG (ATQ)
%
Meteorological CSVs
P2_SWC_40_AVG (ATQ)
%
Meteorological CSVs
P3_SWC_5_AVG (ATQ)
%
Meteorological CSVs
P3_SWC_15_AVG (ATQ)
%
Meteorological CSVs
P3_SWC_30_AVG (ATQ)
%
Meteorological CSVs
P3_SWC_40_AVG (ATQ)
%
Meteorological CSVs
SCW_High-10cm (BEO/BES)
%
Meteorological CSVs
SCW_High-20cm (BEO/BES)
%
Meteorological CSVs
SCW_High-30cm (BEO/BES)
%
Meteorological CSVs
SCW_High-40cm (BEO/BES)
%
Meteorological CSVs
SCW_Low-10cm (BEO/BES)
%
Meteorological CSVs
SCW_Low-20cm (BEO/BES)
%
Meteorological CSVs
SCW_Low-30cm (BEO/BES)
%
Meteorological CSVs
SCW_Low-40cm (BEO/BES)
%
Meteorological CSVs
SWC2_0_10_AVG_L (IVO/Later Datasets)
%
Meteorological CSVs
SWC2_0_20_AVG_L (IVO/Later Datasets)
%
Meteorological CSVs
SWC2_0_30_AVG_L (IVO/Later Datasets)
%
Meteorological CSVs
VWC_* (IVO/Later Datasets)
%
Meteorological CSVs
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