Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Gentili, Bernard; Singh, Rakesh Kumar; Bélanger, Simon; Schlegel, Robert; Gattuso, Jean-Pierre (2024): FjordLight: addendum to PAR data for Arctic fjords [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.965460

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
Fjords in the Arctic are key ecosystems and of great importance to both natural systems and human societies. The in situ monitoring of these systems is however quite difficult and some variables, such as light availability, are more difficult to collect than others. To address this knowledge gap the 'FjordLight' dataset was published on PANGAEA (Gentili et al., 2023). This dataset provides monthly values for bottom PAR (PAR_B) across seven key Arctic fjords, as well as annual averages and monthly climatology values for PAR_B, surface PAR (PAR(0-)), and the extinction coefficient of photosynthetically available radiation (K_PAR). Thanks to the rapid interest from the community for this dataset, we are now expanding upon it with an addendum: a collection of three additional files for each of the seven sites.
Of particular importance to the study of photo-biological processes in the water column is K_PAR; however, the original FjordLight dataset did not include these monthly values because the size of these combined data would make the file large for many users' systems. In the present addendum, all monthly K_PAR data are included. These values are based on estimates of surface turbidity and irradiance derived from remotely sensed observations. Also included in this addendum are one file each for the standard deviation of the monthly climatologies and the annual climatologies for the three PAR variables (e.g. PAR(0-), K_PAR, PAR_B). Note that as these files are in addition to the original FjordLight dataset, they do not contain the same list of global variables and other metadata. All variables in the NetCDF files in this addendum are internally documented. The FjordLight R package that may be utilised to access and work with the FjordLight data has been updated and expanded for reading new files (Gentili et al., 2023; https://cran.r-project.org/web/packages/FjordLight/index.html).
Keyword(s):
Arctic; extinction coefficient; fjord; PAR
Original version:
Gentili, Bernard; Singh, Rakesh Kumar; Bélanger, Simon; Schlegel, Robert; Gattuso, Jean-Pierre (2023): FjordLight: PAR data for Arctic fjords. PANGAEA, https://doi.org/10.1594/PANGAEA.962895
References:
Schlegel, Robert; Gentili, Bernard; Singh, Rakesh Kumar; Krause-Jensen, Dorte; Sejr, Mikael K; Castro de la Guardia, Laura; Miller, Cale A; Gattuso, Jean-Pierre (in review): Underwater light environment in Arctic fjords. Earth System Science Data
Related code / software:
Gentili, Bernard; Gattuso, Jean-Pierre; Schlegel, Robert (2023): FjordLight: Available Light Within the Water Column and Seafloor of Arctic Fjords. R package version 0.7.1. https://cran.r-project.org/web/packages/FjordLight/index.html
Project(s):
Arctic Biodiversity & Livelihoods (FACE-IT)
Comment:
File descriptions:
Satellite data collected between 2003 and 2022 (SeaWiFS/ MODIS/ MERIS/ VIIRS) in conjunction with IBCAO gridded bathymetry data (200 m) and Norwegian mapping authority data (50-150 m) are used to estimate the extinction coefficient of light in the water column for of a series of representative EU Arctic fjords, 2003-2022. Also included are the standard deviation (SD) for the monthly and annual climatologies calculated for all variables (e.g. PAR(0-), K_PAR, PAR_B). The data for each of the seven sites are available as three NetCDF files.
The monthly K_PAR data are available in the files:
*_MonthlyKpar.nc
The monthly climatology SD data:
*_ClimSD.nc
The yearly climatology SD data:
*_YearlySD.nc
The sites are:
disko_*.nc = Disko Bay (Greenland)
is_*.nc = Isfjorden (Svalbard)
kong_*.nc = Kongsforden (Svalbard)
nuup_*.nc = Nuup Kangerlua (Greenland)
por_*.nc = Porsangerfjorden (Norway)
stor_*.nc = Storfjorden (Sbalbard)
young_.nc = Young Sound (Greenland)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 Binary ObjectBinary
2 Binary Object (File Size)Binary (Size)Bytes
3 Binary Object (Media Type)Binary (Type)
4 Binary Object (MD5 Hash)Binary (Hash)
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
21 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.

1 
Binary		2 
Binary (Size) [Bytes]		3 
Binary (Type)		4 
Binary (Hash)
disko_ClimSD.nc281.3 MBytesapplication/x-hdfc0bf9ea58c76a2d974443f8da763dcd6
disko_MonthlyKpar.nc1.8 GBytesapplication/x-hdf9bba4356234fb2064dfa5de64b083e5a
disko_YearlySD.nc703.3 MBytesapplication/x-hdfc87648cb4d630c620a3eab35b24743af
is_ClimSD.nc418.6 MBytesapplication/x-hdfccb88aab05062c30eaafb8dcce96ad48
is_MonthlyKpar.nc2.7 GBytesapplication/x-hdfe272dfcd92f92ba8bce30a7021f72958
is_YearlySD.nc1 GBytesapplication/x-hdf33a417910f4a38ffe8a5d68881120865
kong_ClimSD.nc8.5 MBytesapplication/x-hdf8e8fc42a8982c2501ad88c03fee5287e
kong_MonthlyKpar.nc56.8 MBytesapplication/x-hdfbc697e2882a76ceccaa8fce4aebc6e36
kong_YearlySD.nc21.3 MBytesapplication/x-hdf86bc071a99b6250193fb317fc0bfafe3
nuup_ClimSD.nc78.6 MBytesapplication/x-hdf47df1147e3e9e25c4f9a09bb1d8e5164
nuup_MonthlyKpar.nc524.1 MBytesapplication/x-hdfea1c77d3353e4e03464014f17349ab90
nuup_YearlySD.nc196.6 MBytesapplication/x-hdf0d48f46b0a51c33310ae318807131642
por_ClimSD.nc462.6 MBytesapplication/x-hdf1c02c0def0ee0b28f40cb5111158b153
por_MonthlyKpar.nc3 GBytesapplication/x-hdf6b87758e561815783637a2351787be1e
por_YearlySD.nc1.1 GBytesapplication/x-hdf529e002da41f7becd35b8fe779cb31f4
stor_ClimSD.nc541.9 MBytesapplication/x-hdf95e27180df964872e128cba505f684db
stor_MonthlyKpar.nc3.5 GBytesapplication/x-hdf5b98015f41cb67e26f98d08f34856413
stor_YearlySD.nc1.3 GBytesapplication/x-hdf576a73df0a1c5a9c64668e0656fbd87a
young_ClimSD.nc27.1 MBytesapplication/x-hdf54a7ba3b15253c34ae33afce4a3f991d
young_MonthlyKpar.nc180.7 MBytesapplication/x-hdf6360e387d444790b05fdebea82adb872
young_YearlySD.nc67.8 MBytesapplication/x-hdf94e49a2251620f9f11e759ee6d4e0848