Landing page collection

SIOS instrument #49 - Hyperspectral measurements including sun-induced fluorescence (SIF) in Adventdalen

By laraf |
https://doi.org/10.21343/zdm7-jd72

Near-surface remote sensing techniques including hyperspectral sensors are essential monitoring tools to provide spatial and temporal resolution.

Tømmervik, H., & Nilsen, L. (2023). SIOS instrument #49 - Hyperspectral measurements including sun-induced fluorescence (SIF) in Adventdalen. Norwegian Meteorological Institute. https://doi.org/10.21343/ZDM7-JD72

CC-BY-4.0

Snow depth from Magnaprobe

By laraf |
https://doi.org/10.21343/mnnt-c460

Snow depth survey from GPS snow probe (Magnaprobe) from Snow Hydro.

Vickers, H. (2023). Snow depth from Magnaprobe. Norwegian Meteorological Institute. https://doi.org/10.21343/MNNT-C460

CC-BY-4.0

Snow depth from UAV GPR

By laraf |
https://doi.org/10.21343/zaw8-2g80

Snow depth survey from drone-mounted UWB radar system.

Jenssen, R.-O. R. (2023). Snow depth from UAV GPR. Norwegian Meteorological Institute. https://doi.org/10.21343/ZAW8-2G80

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Regional WAM with CMIP5 forcing

By laraf |
https://doi.org/10.21343/9v8w-5y36

Wind field ensembles from six CMIP5 models force wave model time slices of the northeast Atlantic over the last three decades of the 20th and the 21st centuries.

Aarnes, O. J., & Furevik, B. R. (2023). Regional WAM with CMIP5 forcing. Norwegian Meteorological Institute. https://doi.org/10.21343/9V8W-5Y36

CC-BY-4.0

Time series of surface solar radiation and photosynthetic active radiation (PAR) in Longyearbyen, Svalbard

By laraf |
https://doi.org/10.21343/yj1j-qs47

Time series from March 19th 2012 of solar radiation and photosynthetic active radiation (PAR) from data loggers located at the roof of the University Centre in Svalbard (UNIS) in Longyearbyen, Norway.

Vader, A., & Eidesen, P. B. (2022). Time series of surface solar radiation and photosynthetic active radiation (PAR) in Longyearbyen, Svalbard. Norwegian Meteorological Institute. https://doi.org/10.21343/YJ1J-QS47

CC-BY-4.0

CryoGrid simulations of Svalbard mass balance, refreezing and runoff, 1991-2022

By laraf |
https://doi.org/10.21343/ncwc-s086

This collection contains a high-resolution (2.5 km) dataset of glacier mass balance, runoff and snow conditions in Svalbard from 1991-2022, one of the fastest warming regions in the Arctic.

Schmidt, L. S. (2022). CryoGrid simulations of Svalbard mass balance, refreezing and runoff, 1991-2022. Norwegian Meteorological Institute. https://doi.org/10.21343/NCWC-S086

CC-BY-4.0

Direct observations of sea ice drift and waves in ice in the period 2017-2022

By laraf |
https://doi.org/10.21343/azky-0x44

Sea ice drift trajectories and waves in sea ice data collected over the period 2017-2022 by a consortium of researchers, both in the Arctic and the Antarctic.

Rabault, J., Voermans, J., Brazhnikov, D., Turnbull, I., Marchenko, A., Nose, T., & Biuw, M. (2022). Direct observations of sea ice drift and waves in ice in the period 2017-2022. Norwegian Meteorological Institute. https://doi.org/10.21343/AZKY-0X44

CC-BY-4.0

Wave measurements from the Gronfjorden 2020 deployment in the Thin Ice Measurement Technology project

By laraf |
https://doi.org/10.21343/6njw-gv07

The wave measurements in landfast ice from the XX:project. The wave measurements were obtained by instruments deployed on the landfast ice. For more information about the deployment, see: XX:publication_or_report.

Voermans, J., & Rabault, J. (2022). Wave measurements from the Gronfjorden 2020 deployment in the Thin Ice Measurement Technology project [Data set]. Norwegian Meteorological Institute. https://doi.org/10.21343/6NJW-GV07

CC-BY-4.0