Spatial lake dynamics and lake-ice datasets of the Northern Seward and Baldwin Peninsulas in Alaska

Nitze, Ingmar; Cooley, Sarah W; Duguay, Claude R; Jones, Benjamin M; Grosse, Guido

The data publication contains supplementary data to the article "Supplementary Dataset to: The catastrophic thermokarst lake drainage events of 2018 in northwestern Alaska: Fast-forward into the future".

This data publication includes four datasets:

  1. Lake change datasets for 1999-2014 and 2017-2018 based on Landsat and Sentinel-1 data as Polygon Shapefiles
  2. Lake change datasets for 2017 and 2018 based on high-temporal resolution PlanetScope imagery as Polygon Shapefiles and csv.
  3. Lake ice simulations for the study area for 1980-2018.
  4. Study sites in two versions: a) including seawater and b) clipped to land area. Files are Polygon Shapefiles.

The datasets cover the land area of the Baldwin Peninsula and northern Seward Peninsula in north-western Alaska. The datasets are (#1) remote sensing based observations and (#3) modelled data. Methods are described in detail in the original manuscript (open access). Dataset #4 is the extent of the study site in two versions, a) full extent including seawater and b) land only including lakes. The land boundary was clipped with the “Global Self-consistent, Hierarchical, High-resolution Geography Database” (GSHHG; Wessel and Smith, 1996) dataset in scale “h”. The datasets cover different temporal periods and have a different temporal resolution. Data were collected to measure the extent of a rapid and widespread thermokarst lake drainage event in northwestern Alaska in 2018 and to compare the affected number of lakes and area to previous periods. Lake-ice model data were calculated to simulate lake-ice conditions since 1980 and to put the lake-ice and weather conditions in 2017/2018 into context.

Citation

In order to use these data, you must cite this data set with the following citation:

Text Citation
BibTeX Citation
RIS Citation

Contact

Nitze, Ingmar

Metadata Access

DCAT in RDF/XML-Format

DCAT in Turtle-Format

DCAT in JSON-LD-Format

APGC Dataset Metadata in JSON-Format

Duomenys ir ištekliai

Papildoma informacija

Laukas Reikšmė
Identifier DOI:10.1594/PANGAEA.922808
Project(s)
Institute AWI Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
Šaltinis https://doi.pangaea.de/10.1594/PANGAEA.922808
Publication Date 2020-09-17
Versija 1
Product lake dynamics and lake-ice datasets
Sensor Landsat, Sentinel-1, PlanetScope imagery, CLIMo
Files
  1. Lake change datasets for 1999-2014 and 2017-2018 based on Landsat and Sentinel-1 data as Polygon Shapefiles
  2. Lake change datasets for 2017 and 2018 based on high-temporal resolution PlanetScope imagery as Polygon Shapefiles and csv
  3. Lake ice simulations for the study area for 1980-2018
  4. Study sites in two versions: a) including seawater and b) clipped to land area. Files are Polygon Shapefiles
Variables [Units]
  1. ID: lake ID of original input dataset (Nitze et al., 2018)
  2. 1999_ha: lake area 1999 in ha (from Nitze et al., 2018) [ha]
  3. 2014_ha: lake area 1999 in ha (from Nitze et al., 2018) [ha]
  4. 2017_ha: lake area 2017 in ha (based on Sentinel-1 data) [ha]
  5. 2018_ha: lake area 1999 in ha (based on Sentinel-1 data) [ha]
  6. 9914_ch_pc: lake area change 1999-2014 in % (from Nitze et al., 2018) [%]
  7. 1718_ch_pc: lake area change 2017-2018 in % (based on Sentinel-1 data) [%]
  8. 9914_ch_ha: lake area change 1999-2014 in ha (from Nitze et al., 2018) [ha]
  9. 1718_ch_ha: lake area change 2017-2018 in ha (based on Sentinel-1 data) [ha]
  10. lake_id: unique object id
  11. mean_17: mean lake area in 2017 in [m²]
  12. obs_17: number of observations in 2017
  13. max_17 : maximum lake area in 2017 in [m²]
  14. min_17: minimum lake area in 2017 in [m²]
  15. range_17: range (max-min) of lake area in 2017 in [m²]
  16. std_17: standard deviation of lake area in 2017 in [m²]
  17. per_17: percentage of lake area range [0-1] in 2017
  18. mean_18: mean lake area in 2018 in [m²]
  19. obs_18: number of observations in 2018
  20. max_18: maximum lake area in 2018 in [m²]
  21. min_18: minimum lake area in 2018 in [m²]
  22. range_18: range (max-min) of lake area in 2018 in [m²]
  23. std_18: standard deviation of lake area in 2018 in [m²]
  24. per_18: percentage of lake area range [0-1] in 2018
Region NW Alaska
Spatial Reference EPSG:4326 WGS 84
Spatial Resolution
Spatial Coverage Latitude 65.279900 to 66.971200, Longitude -168.331500 to -160.502400
Temporal Coverage 1999-2014, 2017-2018, 1980-2018
Temporal Resolution
Formatas Shapefile, CSV, other
Is Supplement To

Nitze, Ingmar; Cooley, Sarah W; Duguay, Claude R; Jones, Benjamin M; Grosse, Guido (2020): The catastrophic thermokarst lake drainage events of 2018 in northwestern Alaska: fast-forward into the future. The Cryosphere, 14(12), 4279-4297, https://doi.org/10.5194/tc-14-4279-2020
Related to

Wessel, Pål; Smith, Walter H F (1996): A global, self-consistent, hierarchical, high-resolution shoreline database. Journal of Geophysical Research: Solid Earth, 101(B4), 8741-8743, https://doi.org/10.1029/96JB00104

Dataset extent