Landing page collection

MMDFs for the ECMWF-IFS global forecast model for various Polar sites

By laraf |
https://doi.org/10.21343/a6ka-7142

Merged model Data Files (MMDFs) for the operational forecasts with the IFS high resolution deterministic forecasts are available for the period starting Jan 2018.

Day, J. (2023). MMDFs for the ECMWF-IFS global forecast model for various Polar sites. Norwegian Meteorological Institute. https://doi.org/10.21343/A6KA-7142

CC-BY-4.0

MMDFs for the Roshydromet-SLAV global forecast model for various Arctic sites

By laraf |
https://doi.org/10.21343/j4sj-4n61

Merged model Data Files (MMDFs) were produced by the SLAV model for both SOP1 and SOP2 containing 7-day forecasts starting at 00 UTC. The output is available for 4 horizontal grid points surrounding selected observatories, every 15 minutes (i.e.

Tolstykh, M. (2023). MMDFs for the Roshydromet-SLAV global forecast model for various Arctic sites. Norwegian Meteorological Institute. https://doi.org/10.21343/J4SJ-4N61

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Antarctic sea-ice drift vectors Jun-Aug 2016 supporting doi:10.1016/j.rse.2023.113813

By laraf |
https://doi.org/10.21343/8cxn-np86

Sea ice motion vectors derived from passive microwave imagery of the GCOM-W1 AMSR2 instrument to support the analysis presented in Tian T. et al (2023) doi:10.1016/j.rse.2023.113813.

Lavergne, T. (2023). Antarctic sea-ice drift vectors Jun-Aug 2016 supporting doi:10.1016/j.rse.2023.113813 [Data set]. Norwegian Meteorological Institute. https://doi.org/10.21343/8CXN-NP86

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CryoGrid simulations of climatic mass balance and runoff from glaciers in Franz Josef Land and Novaya Zemlya, 1991-2022

By laraf |
https://doi.org/10.21343/k5gq-bh33

This collection contains a high-resolution (2.5 km) dataset of glacier mass balance and runoff in Franz Josef Land and Novaya Zemlya from 1991-2022, situated in one of the fastest warming regions in the Arctic.

Schmidt, L. S. (2023). CryoGrid simulations of climatic mass balance and runoff from glaciers in Franz Josef Land and Novaya Zemlya, 1991-2022 [Data set]. Norwegian Meteorological Institute. https://doi.org/10.21343/K5GQ-BH33

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Standard meteorological near-surface observations at Kapp Thordsen in Isfjorden, Svalbard.

By laraf |
https://doi.org/10.21343/9zm9-y798

The file contains time series of the standard meteorological near-surface parameters temperature, humidity, pressure, wind speed and wind direction.

Frank, L., Jonassen, M. O., & Remes, T. (2023). Standard meteorological near-surface observations at Kapp Thordsen in Isfjorden, Svalbard. Norwegian Meteorological Institute. https://doi.org/10.21343/9ZM9-Y798

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Meteorological near-surface observations in the area of Adventdalen, Svalbard, in summer 2022

By laraf |
https://doi.org/10.21343/tsvh-y187

Three temporary automatic weather stations were installed in the area of Adventdalen to observe characteristics of local flows between July and September 2022.

Henkies, M., Sikora, S., & Sjöblom, A. (2023). Meteorological near-surface observations in the area of Adventdalen, Svalbard, in summer 2022 [Data set]. Norwegian Meteorological Institute. https://doi.org/10.21343/TSVH-Y187

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Wind Lidar Measurements in Adventdalen, Svalbard, 2022

By laraf |
https://doi.org/10.21343/mfng-6727

A scanning Doppler Lidar was placed in Adventdalen (Central Spitsbergen, Svalbard, Norway) close to the permanent weather mast SN99870.

Henkies, M., Duscha, C., Reuder, J., & Sjöblom, A. (2023). Wind Lidar Measurements in Adventdalen, Svalbard, 2022 [Data set]. Norwegian Meteorological Institute. https://doi.org/10.21343/MFNG-6727

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NDVI for Svalbard

By laraf |
https://doi.org/10.21343/30hv-1e14

Daily NDVI estimates since 2000 for Svalbard. Only areas with summer NDVI > 0.0, other areas has -1.001 in value

Karlsen, S. R. (2023). NDVI for Svalbard. Norwegian Meteorological Institute. https://doi.org/10.21343/30HV-1E14

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Geophone and Hydrophone deployments in Svalbard for 2022

By laraf |
https://doi.org/10.21343/5vhg-a209

Geophone and Hydrophone deployments in Svalbard 2022, to measure the vibrations in sea ice following the appearance of cracks. For more information, see https://github.com/jvoermans/Geophone_Logger .

Voermans, J., Rabault, J., Marchenko, A., Nose, T., Waseda, T., & Babanin, A. (2023). Geophone and Hydrophone deployments in Svalbard for 2022 [Data set]. Norwegian Meteorological Institute. https://doi.org/10.21343/5VHG-A209

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Standard meteorological near-surface observations measured onboard MS Berg in Isfjorden, Svalbard.

By laraf |
https://doi.org/10.21343/5x4s-hx67

The file contains time series of the standard meteorological near-surface parameters temperature, humidity, pressure, wind speed and wind direction.

Frank, L., Jonassen, M. O., & Remes, T. (2023). Standard meteorological near-surface observations measured onboard MS Berg in Isfjorden, Svalbard. Norwegian Meteorological Institute. https://doi.org/10.21343/5X4S-HX67

CC-BY-4.0