FACE-IT WP1 Summary: 2021
Robert Schlegel & Jean-Pierre Gattuso
2021-10-04
Last updated: 2021-09-28
Checks: 6 1
Knit directory: WP1/
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Structure
- WP1 Lead: Jean-Pierre Gattuso
- Data Scientist: Robert Schlegel
Key drivers (D1.1: 6 months)
| Category | Drivers |
|---|---|
| Cryosphere | Coastal ice, fast ice, glacier, permafrost, sea ice, snow cover |
| Physical | Bathymetry, current, evaporation, heatflux, Kd, MLD, precipitation, river discharge, salinity, SLP, air/sea temperature, sedimentation rate, suspended matter, wind |
| Physical | Calcium carbonate (CaCO3), DIC, DOC, DON, O2, nutrients, pCO2, pH, total alkalinity |
| Biology | Calcification, nitrogen fixation, photosynthesis, primary production, respiration, species presence/abundance |
| Social | Fish/game landings, local and national resource management, national statistics, tourist arrivals/vessels |
Meta-database (D1.2: 12 months)
Other deliverables
- Data management plan (D8.1: 6 months)
- Created FACE-IT GitHub repository
- All WP1 progress available on public website
Cross-package interactions
- Ny-Ålesund, Kongsfjorden, Svalbard (July - August, 2021)
- Participated in fieldwork for WP3
- Worked adjacent to WP2
- Data collections efforts
Effective coordination of data collection
- Who is responsible for what?
- Who has other people working with data collection?
- WP1 is of service to everybody, but we can’t provide this service without replies to our inquiries
Data issues
- What to do with complex data types
- e.g. Seabird database and geospatial glacier fronts
Inglefieldbukta
- Is the current Inglefieldbukta bounding box to small?
- What is the scientific justification of choosing a much larger semi-open fjord?
- Current area (figure)
- Potential expanded area (figure)
What’s next?
- Review article (D1.3: 24 months)
- Intended as broad overview of drivers of change in FACE-IT study sites
- Will require expertise from many FACE-IT researchers
- WP1 will reach out to site coordinators as fist step in collaborative process
Summary
- Who has use for the collected data?
- How would they like to access them?
- What format(s) is most useful?
- Who has there own data collection efforts?
- What shall be done about Inglefieldbukta site?
- How shall we begin to merge the data needs of scoial science?
R version 4.1.1 (2021-08-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.6 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C
[3] LC_TIME=fr_FR.UTF-8 LC_COLLATE=en_GB.UTF-8
[5] LC_MONETARY=fr_FR.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=fr_FR.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] DT_0.18 kableExtra_1.3.4 forcats_0.5.1 stringr_1.4.0
[5] dplyr_1.0.6 purrr_0.3.4 readr_1.4.0 tidyr_1.1.3
[9] tibble_3.1.2 ggplot2_3.3.3 tidyverse_1.3.1
loaded via a namespace (and not attached):
[1] Rcpp_1.0.6 svglite_2.0.0 lubridate_1.7.10 assertthat_0.2.1
[5] rprojroot_2.0.2 digest_0.6.27 utf8_1.2.1 R6_2.5.0
[9] cellranger_1.1.0 backports_1.2.1 reprex_2.0.0 evaluate_0.14
[13] highr_0.9 httr_1.4.2 pillar_1.6.1 rlang_0.4.11
[17] readxl_1.3.1 rstudioapi_0.13 whisker_0.4 jquerylib_0.1.4
[21] rmarkdown_2.8 webshot_0.5.2 htmlwidgets_1.5.3 munsell_0.5.0
[25] broom_0.7.7 compiler_4.1.1 httpuv_1.6.1 modelr_0.1.8
[29] xfun_0.23 pkgconfig_2.0.3 systemfonts_1.0.2 htmltools_0.5.1.1
[33] tidyselect_1.1.1 workflowr_1.6.2 viridisLite_0.4.0 fansi_0.5.0
[37] crayon_1.4.1 dbplyr_2.1.1 withr_2.4.2 later_1.2.0
[41] grid_4.1.1 jsonlite_1.7.2 gtable_0.3.0 lifecycle_1.0.0
[45] DBI_1.1.1 git2r_0.28.0 magrittr_2.0.1 scales_1.1.1
[49] cli_2.5.0 stringi_1.6.2 fs_1.5.0 promises_1.2.0.1
[53] xml2_1.3.2 bslib_0.2.5.1 ellipsis_0.3.2 generics_0.1.0
[57] vctrs_0.3.8 tools_4.1.1 glue_1.4.2 crosstalk_1.1.1
[61] hms_1.1.0 yaml_2.2.1 colorspace_2.0-1 rvest_1.0.0
[65] knitr_1.33 haven_2.4.1 sass_0.4.0
Social data