Data Package Metadata   View Summary

Model estimates of hydrological, dissolved organic carbon, soil temperature and moisture for Elson Lagoon watershed, Alaska, 1981-2020

General Information
Data Package:
Local Identifier:knb-lter-ble.23.2
Title:Model estimates of hydrological, dissolved organic carbon, soil temperature and moisture for Elson Lagoon watershed, Alaska, 1981-2020
Alternate Identifier:DOI PLACE HOLDER
Abstract:
This dataset contains model estimates of dissolved organic carbon (DOC) yield (mg C/m^2) and runoff (mm), for surface and subsurface flows, soil temperature (oC), and soil moisture (% of soil volume) for grid cells spanning the Elson Lagoon watershed in northwest Alaska. Daily air temperature, precipitation, and wind speed data from Utqiagvik airport were used for meteorological forcings for the daily simulation by the Permafrost Water Balance Model (PWBM) from 1981 to 2020. The DOC and runoff data files are organized by grid cell and month. The soil temperature and soil moisture files are organized by grid cell and day of year (DOY). The estimates are most useful for analyses of the dynamics of the watershed’s surface and subsurface runoff and DOC yield. Leachate DOC concentrations can be obtained using the gridded runoff and yield values. A manuscript describing the data and associated analysis has been accepted for publication in Environmental Research Letters (Rawlins et al., 2021).
Short Name:elson-hydromodel
Publication Date:2021-09-03
Language:English

Time Period
Begin:
1980-01-01
End:
2020-12-31

People and Organizations
Contact:Information Manager (Beaufort Lagoon Ecosystems LTER) [  email ]
Organization:Beaufort Lagoon Ecosystems LTER
Creator:Rawlins, Michael A (University of Massachusetts Amherst)

Data Entities
Data Table Name:
Daily profile soil temperature and moisture from Elson Lagoon watershed, model estimates, 1981-2020
Description:
Daily model estimated soil temperatures and moisture content at eight depth levels, Elson Lagoon watershed, Alaska, 1980-2010
Data Table Name:
Monthly surface/subsurface DOC and runoff from Elson Lagoon watershed, model estimates, 1981-2020
Description:
Monthly model estimated surface and subsurface dissolved organic carbon and runoff, Elson Lagoon watershed, Alaska, 1981-2020
Data Table Name:
Model domain definition, grid cells' coordinates
Description:
Model grid cells coordinates
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/23/2/75dea6256cbe9e66c75d9ec0745f3258
Name:Daily profile soil temperature and moisture from Elson Lagoon watershed, model estimates, 1981-2020
Description:Daily model estimated soil temperatures and moisture content at eight depth levels, Elson Lagoon watershed, Alaska, 1980-2010
Number of Records:67673520
Number of Columns:5

Table Structure
Object Name:BLE_LTER_Elson_hydromodel_soil_temperature_moisture.csv
Size:2025981642 byte
Authentication:bcdde0ba1c0b98d98222f6ba61714035 Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 cell IDDateSoil depthSoil moistureSoil temperature
Column Name:cellID  
date  
soil_depth  
soil_moisture  
soil_temperature  
Definition:Grid cell IDDate YYYY-DDDSoil depth in metersModel estimated soil moisture content in percent of soil volumeModel stimated soil temperature in Celsius
Storage Type:string  
date  
float  
float  
float  
Measurement Type:nominaldateTimeratioratiointerval
Measurement Values Domain:
Definitionany
FormatYYYY-DDD
Precision1
Unitmeter
Typereal
Unitpercent
Typereal
Unitcelsius
Typereal
Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/23/2/837514ecaa77b11c48bc65a260352d2f
Name:Monthly surface/subsurface DOC and runoff from Elson Lagoon watershed, model estimates, 1981-2020
Description:Monthly model estimated surface and subsurface dissolved organic carbon and runoff, Elson Lagoon watershed, Alaska, 1981-2020
Number of Records:138960
Number of Columns:8

Table Structure
Object Name:BLE_LTER_Elson_hydromodel_DOC_runoff.csv
Size:6850797 byte
Authentication:99508f884f4afb9e8efe908928a66b54 Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
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Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 cell IDMonthLatitudeLongitudeDOC_surfaceDOC_subsurfacerunoff_surfacerunoff_subsurface
Column Name:cellID  
date  
latitude  
longitude  
DOC_surface  
DOC_subsurface  
runoff_surface  
runoff_subsurface  
Definition:Grid cell IDMonth YYYY-MMLatitude at center of model grid cell. Coordinates based on EASE-Grid version 2.0, 1km resolution.Longitude at center of model grid cell. Coordinates based on EASE-Grid 2.0, 1km resolution.Monthly total of model estimated dissolved organic carbon from grid cell surfaceMonthly total of model estimated dissolved organic carbon from grid cell subsurfaceMonthly total of model estimated runoff from grid cell surfaceMonthly total of model estimated runoff from grid cell subsurface
Storage Type:string  
date  
float  
float  
float  
float  
float  
float  
Measurement Type:nominaldateTimeintervalintervalratioratioratioratio
Measurement Values Domain:
Definitionany
FormatYYYY-MM
Precision1
Unitdegree
Typereal
Unitdegree
Typereal
UnitmilligramsPerSquareMeter
Typereal
UnitmilligramsPerSquareMeter
Typereal
Unitmillimeter
Typereal
Unitmillimeter
Typereal
Missing Value Code:        
Code-999.9
Explmissing value indicates no DOC was produced on grid cell that day
Code-999.9
Explmissing value indicates no DOC was produced on grid cell that day
   
Accuracy Report:                
Accuracy Assessment:                
Coverage:                
Methods:                

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/23/2/cad71caa917bbadf0ebfa843a1ef3abe
Name:Model domain definition, grid cells' coordinates
Description:Model grid cells coordinates
Number of Records:579
Number of Columns:5

Table Structure
Object Name:BLE_LTER_Elson_hydromodel_domain.csv
Size:18930 byte
Authentication:4484442edf2fc4f42182dff4e17bf4db Calculated By MD5
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 cell IDEASE-Grid rowEASE-Grid columnLatitudeLongitude
Column Name:cellID  
EASE_grid_row  
EASE_grid_column  
latitude  
longitude  
Definition:Grid cell IDRow number from the EASE-Grid version 2.0, 1 km resolution.Column number from the EASE-Grid version 2.0, 1 km resolution.Latitude at center of model grid cell. Coordinates based on EASE-Grid version 2.0, 1km resolution.Longitude at center of model grid cell. Coordinates based on EASE-Grid 2.0, 1km resolution.
Storage Type:string  
integer  
integer  
float  
float  
Measurement Type:nominalintervalintervalintervalinterval
Measurement Values Domain:
Definitionany
Unitdimensionless
Typeinteger
Unitdimensionless
Typeinteger
Unitdegree
Typereal
Unitdegree
Typereal
Missing Value Code:          
Accuracy Report:          
Accuracy Assessment:          
Coverage:          
Methods:          

Data Package Usage Rights

This data package is released to the public domain under Creative Commons CC0 1.0 “No Rights Reserved” (see: https://creativecommons.org/publicdomain/zero/1.0/). It may be distributed, remixed, and built upon. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. It is considered professional etiquette to provide attribution of the original work if this data package is shared or utilized in whole or by individual components. A generic citation is provided for this data package on the website of the repository where these data were obtained in the summary metadata page.

Communication (and collaboration) with the creators of this data package is recommended to prevent duplicate research or publication. The consumer of these data ("Data User" herein) is urged to contact the authors of these data if any questions about methodology or results occur. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplication or inappropriate use. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation may occur if data are used outside of the context of the original study. The Data User should be aware that periodic updates of this data package may be available from the website and it is the responsibility of the Data User to check for new versions of the data.

While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy cannot be guaranteed. This data package (with its components) is made available “as is” and with no warranty of accuracy or fitness for use. The creators of this data package and the repository where these data were obtained shall not be liable for any damages resulting from misinterpretation, use or misuse of the data package or its components. Thank you.

Keywords

By Thesaurus:
LTER Controlled Vocabulary v1dissolved organic carbon, hydrologic processes, hydrology, permafrost, runoff, soil temperature
Geographic Names Information SystemElson Lagoon
BLE LTER Controlled VocabularyBeaufort Lagoon Ecosystems LTER, BLE, LTER

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

The archived data are from a numerical model simulation across the watershed draining to Elson Lagoon over the period 1981–2020 with the Permafrost Water Balance Model (v4). The transient 40-year simulation was preceded by a 50-year spinup on year 1980 to stabilize soil temperature, moisture, and soil dissolved organic carbon (DOC) pools. Meteorological forcings of near-surface (2 m) air temperature, precipitation, and wind speed were drawn from observations at Utqiaǵvik, Alaska. Model parameterizations include static (non-time-varying) fields of soil texture and vegetation cover.

The PWBM was recently updated to include process representations related to water loss from the surface and DOC production, decomposition, storage and loading to stream and river networks (Rawlins et al., 2021 and Rawlins, 2021). DOC production is influenced by the amount of surface and soil organic matter and the dynamics of surface/soil temperature and moisture. The decomposition of DOC is assumed to result in losses to carbon dioxide and/or sorption to the mineral soil. Transfer of DOC from the surface or a soil layer to the stream and river network takes place whenever surface or subsurface runoff occurs

DOC = SDOC (t) Q

where DOC is mass loaded to a stream or river network (g C m2 day−1), SDOC (t) is soilwater DOC storage (g C m−3), and Q is runoff (m day−1). Soil carbon density for each grid cell was assigned 50 kg m−3, which was the areally weighted mean amount calculated from soil cores collected along a transect within the watershed (Bockheim et al., 1999). Aboveground carbon was parameterized based on estimates of biomass from sites originally established near Utqiaǵvik in 1972, and resampled in 1999, 2008 and 2012 (Lara et al., 2012; Villarreal et al., 2012). Biomass from the vegetation communities in these plots averages 49.9 g C m−2 (Goswami et al., 2015). Parameterization of aboveground carbon storage was obtained by applying the rate increase derived from satellite-based estimates of net primary productivity (Zhang et al., 2008) for the period 1985–2005 to the vegetation communities' plots average set at its midpoint year 1992. Rawlins et al. (2021) provide additional detail on the recent model updates, and Rawlins (2021) specifics related to the archived data.

Bockheim, J., Everett, L., Hinkel, K., Nelson, F., and Brown, J. (1999). Soil organic carbon storage and distribution in Arctic tundra, Barrow, Alaska. Soil Science Society of America Journal, 63(4):934–940.

Goswami, S., Gamon, J., Vargas, S., and Tweedie, C. (2015). Relationships of NDVI, biomass, and leaf area index (LAI) for six key plant species in Barrow, Alaska. Technical report, PeerJ PrePrints.

Lara, M., Villarreal, S., Johnson, D., Hollister, R., Webber, P., and Tweedie, C. (2012). Estimated change in tundra ecosystem function near Barrow, Alaska between 1972 and 2010. Environmental Research Letters, 7(1):015507.

Rawlins, M. A., Connolly, C. T., and McClelland, J. W. (2021). Modeling terrestrial dissolved organic carbon loading to western Arctic rivers. Journal of Geophysical Research-Biogeosciences, in press.

Rawlins, M. A. (2021). Increasing Freshwater and Dissolved Organic Carbon Flows to Northwest Alaska’s Elson Lagoon, Environmental Research Letters, in press.

Villarreal, S., Hollister, R., Johnson, D., Lara, M., Webber, P., and Tweedie, C. (2012). Tundra vegetation change near Barrow, Alaska (1972–2010). Environmental Research Letters, 7(1):015508.

Zhang, K., Kimball, J. S., Mu, Q., Jones, L. A., Goetz, S. J., and Running, S. W. (2009). Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005. J. Hydrol., 379:92–110.

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@environmentaldatainitiative.org
Web Address:
https://environmentaldatainitiative.org
Creators:
Organization:Beaufort Lagoon Ecosystems LTER
Address:
750 Channel View Dr.,
Port Aransas, TX 78373 USA
Email Address:
BLE-IM@utexas.edu
Web Address:
https://ble.lternet.edu/
Individual: Michael A Rawlins
Organization:University of Massachusetts Amherst
Address:
233 Morill Science Center II,
Amherst, MA 01003 USA
Email Address:
rawlins@geo.umass.edu
Id:https://orcid.org/0000-0002-3323-8256
Contacts:
Organization:Beaufort Lagoon Ecosystems LTER
Position:Information Manager
Address:
MC R8000 The University of Texas at Austin,
Austin, TX 78712 USA
Email Address:
BLE-IM@utexas.edu
Web Address:
https://ble.lternet.edu/
Metadata Providers:
Organization:Beaufort Lagoon Ecosystems LTER
Address:
750 Channel View Dr.,
Port Aransas, TX 78373 USA
Email Address:
BLE-IM@utexas.edu
Web Address:
https://ble.lternet.edu/

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
1980-01-01
End:
2020-12-31
Geographic Region:
Description:Elson Lagoon watershed: Bounding box contains the watershed (579 km2) draining to Elson Lagoon in northwest Alaska, close to Barrow (Utqiavik). The grid resolution is 1 km2 specified by the Northern Hemisphere EASE-Grid version 2. Continuous permafrost is present throughout the watershed.
Bounding Coordinates:
Northern:  71.337900Southern:  71.019200
Western:  -156.794200Eastern:  -155.847600

Project

Parent Project Information:

Title:LTER: Beaufort Sea Lagoons: An Arctic Coastal Ecosystem in Transition
Personnel:
Individual: Kenneth Dunton
Organization:The University of Texas at Austin, Marine Science Institute
Phone:
361-749-6744 (voice)
Email Address:
ken.dunton@utexas.edu
Id:https://orcid.org/0000-0003-3498-8021
Role:Lead Principal Investigator
Individual: James McClelland
Organization:The University of Texas at Austin, Marine Science Institute
Phone:
361-749-6756 (voice)
Email Address:
jimm@utexas.edu
Id:https://orcid.org/0000-0001-9619-8194
Role:Co-Lead Principal Investigator
Individual: Byron Crump
Organization:Oregon State University
Email Address:
byron.crump@oregonstate.edu
Id:https://orcid.org/0000-0001-7062-1273
Role:Co-Principal Investigator
Individual: Amber Hardison
Organization:Virginia Institute of Marine Science, College of William & Mary
Email Address:
akhardison@vims.edu
Id:https://orcid.org/0000-0002-0891-3731
Role:Co-Principal Investigator
Individual: Katrin Iken
Organization:University of Alaska Fairbanks
Email Address:
kbiken@alaska.edu
Id:https://orcid.org/0000-0001-7961-1012
Role:Co-Principal Investigator
Individual: Jeremy Kasper
Organization:University of Alaska Fairbanks
Email Address:
jlkasper@alaska.edu
Id:https://orcid.org/0000-0003-0975-6114
Role:Co-Principal Investigator
Individual: Vanessa Lougheed
Organization:The University of Texas at El Paso
Email Address:
vlougheed@utep.edu
Id:https://orcid.org/0000-0002-6091-1151
Role:Co-Principal Investigator
Individual: Andrew Mahoney
Organization:University of Alaska Fairbanks
Email Address:
armahoney@alaska.edu
Id:https://orcid.org/0000-0002-8699-3175
Role:Co-Principal Investigator
Individual: Bailey McMeans
Organization:University of Toronto Missisauga
Email Address:
bailey.mcmeans@utoronto.ca
Id:https://orcid.org/0000-0002-9793-6811
Role:Co-Principal Investigator
Individual: Michael Rawlins
Organization:University of Massachusetts Amherst
Email Address:
rawlins@geo.umass.edu
Id:https://orcid.org/0000-0002-3323-8256
Role:Co-Principal Investigator
Individual: Yvette Spitz
Organization:Oregon State University
Email Address:
yvette.spitz@oregonstate.edu
Id:https://orcid.org/0000-0002-6026-4900
Role:Co-Principal Investigator
Individual: Craig Tweedie
Organization:The University of Texas at El Paso
Email Address:
ctweedie@utep.edu
Id:https://orcid.org/0000-0002-3409-8881
Role:Co-Principal Investigator
Individual: Christina Bonsell
Organization:The University of Texas at Austin
Email Address:
cbonsell@utexas.edu
Id:https://orcid.org/0000-0002-8564-0618
Role:Project Manager
Individual: Nathan McTigue
Organization:The University of Texas at Austin
Email Address:
mctigue@utexas.edu
Id:https://orcid.org/0000-0002-7686-7095
Role:Project Manager
Individual: Timothy Whiteaker
Organization:The University of Texas at Austin
Email Address:
whiteaker@utexas.edu
Id:https://orcid.org/0000-0002-1940-4158
Role:Information Manager
Individual: An T. Nguyen
Organization:The University of Texas at Austin
Email Address:
enthusiast@utexas.edu
Id:https://orcid.org/0000-0001-6519-0173
Role:Information Manager
Abstract:

This project established a new Long Term Ecological Research (LTER) site along the Alaskan Arctic coastline. Research based out of Utqiagvik (formerly Barrow), Deadhorse, and Kaktovik will address how changes in shoreline erosion and freshwater inflows to the coastal ocean over seasonal, annual, and longer timeframes influence near-shore food webs. Research will be conducted in collaboration with local stakeholder groups and the U.S. Fish and Wildlife Service. This research will advance our fundamental understanding of how input of materials from land and oceanographic conditions interact to influence coastal food webs. It will also allow us to track and understand: 1) how natural climate cycles influence coastal ecosystems in the Arctic, and 2) how climate change effects such as permafrost thaw, shifting precipitation regimes, and losses of sea ice alter coastal ecosystems. Near-shore food webs along the Alaskan Arctic coastline support large populations of migratory fish and waterfowl that are essential to the culture of Iñupiat communities of northern Alaska. The research at this LTER site will create a framework for anticipating the impacts of future changes on the coastal ecosystem that are of great concern to these communities. Results from this LTER program will also be of interest to a broader science community that is working to understand potential connections between Arctic change and global carbon cycling. Finally, this LTER project includes a strong commitment to education through graduate and undergraduate student involvement, post-doctoral mentoring, continuation of a very successful Summer Science K-12 Program in Kaktovik, and establishment of a parallel K-12 program in Utqiagvik. In addition, this project will employ native high school seniors or recently graduated students living in Utqiagvik and Kaktovik as field research assistants.

Recent studies suggest that the ecological framework for understanding what controls food web structure needs to be expanded to include temporal forcing. More specifically, there is mounting evidence that differential availability of seasonally-distinct resources is critical for defining trophic linkages and maintaining stability and resilience of food webs. This new LTER program will use lagoons along the Alaskan Beaufort Sea coast as experimental units to test this concept, and broaden it to include temporal variations over longer timeframes. The Beaufort lagoons are ideal for testing this concept because they experience extreme variability in seasonal cycles, which are now subject to rapid directional shifts driven by climate change. Our overarching question is: How do variations in terrestrial inputs, local production, and exchange between lagoon and ocean waters over seasonal, inter-annual, inter-decadal, and longer timeframes interact to control food web structure through effects on carbon and nitrogen cycling, microbial and metazoan community composition, and trophic linkages? Arctic lagoons provide a unique opportunity to study these interactions in the absence of fringing wetlands that often modulate land-ocean interactions in other lagoon systems. In addition, barrier island geomorphology, which exerts a strong control on water exchange between lagoons and the open ocean, is highly dynamic in the Arctic because sea-ice effects on coastal geomorphology are superimposed on the effects of currents, sea level, and waves. Thus, connections between inputs from land and lagoon ecosystems are more direct, and water exchanges between lagoons and the open ocean are more variable than is typical of lower latitude systems. Specific study sites will be located in Elson Lagoon (western Beaufort), Simpson Lagoon and Stefansson Sound (central Beaufort), and Kaktovik and Jago lagoons (eastern Beaufort). The LTER will include seasonal field work during ice covered, ice break-up, and open water periods and also include sensor deployments for continuous measurements of key biogeochemical and hydrographic parameters.

Funding:

BLE LTER is supported by the National Science Foundation under award #1656026 (2017-08-01 to 2022-07-31).

Additional Award Information:
Funder:National Science Foundation
Funder ID:http://dx.doi.org/10.13039/100000001
Number:1656026
Title:LTER: Beaufort Sea Lagoons: An Arctic Coastal Ecosystem in Transition
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=1656026

Maintenance

Maintenance:
Description:No regular updates anticipated.
Frequency:notPlanned
Other Metadata

Additional Metadata

additionalMetadata
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EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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