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author,
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Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2024-05-02T11:12:00Z
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Abstract:
Gridded ice displacement fields obtained from satellite image processing. It is a low resolution product (62.5km resolution). The time span of the ice displacement is approximately 48 hours. This dataset is intended both for process studies and data assimilation. Daily products are freely available from the OSI SAF distribution chain.
License : All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.
Access: Open
Merged model Data Files (MMDFs) were produced with the HARMONIE-AROME (HIRLAM–ALADIN Research on Mesoscale Operational NWP in Euromed–Application of Research to Operations at Mesoscale) model configuration for operational weather forecasting for the European Arctic with the name AROME-Arctic. AROME-Arctic MMDFs are based on the operational forecasts (cy40h.1) and are available for the SOP1 and SOP2 at Sodankylä and Ny-Ålesund. Lateral Boundary Conditions are derived from the ECMWF IFS-HRES. The data archived in the MMDFs are provided hourly for the single model grid-point closest to the site.
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, Environment and Climate Change Canada / Environnement et Changement Climatique Canada
Merged model Data Files (MMDFs) for ECCC-CAPS are available for the whole period from February 2018 to December 2018. Prior to the 28th of June 2018 CAPS was uncoupled and run with the GEM version 4.9.2. After the 29th of June 2018 CAPS was coupled with the Regional Ice and Ocean Prediction system (RIOPS) and run with the GEM version 4.9.4. Atmospheric Lateral Boundary Conditions (LBCs) and initial conditions (ICs) are from ECCC Global Deterministic Prediction System (GDPS). Initial surface fields are from the Canadian Land Data Assimilation System (CaLDAS). The CAPS timeseries are produced for a beam of 7 x 7 grid-points centred on each of the twelve land-based Arctic observatories listed in Table 1. Timeseries up to 48 hours leadtime are made available for the daily runs initialized at 00 UTC. The data is archived with a time frequency of 7.5 min, equivalent to five timesteps of 90 s each.
Merged model Data Files (MMDFs) for the operational forecasts with the IFS high resolution deterministic forecasts are available for the period starting Jan 2018. MMDFs is provided at the model timestep (7.5 min) for a single model grid point closest to the observatory. In addition to the grid point data a number of parameters (including albedo, surface temperature and surface energy fluxes) are provided on the land-surface model tiles to enable detailed evaluation of processes even at heterogeneous sites. A complete description for the two versions of the IFS can be found here: https://www.ecmwf.int/en/publications/ifs-documentation.
Merged model Data Files (MMDFs) from DWD’s ICON are available from February 2018 onwards containing 7.5-day forecasts starting at 00 and 12 UTC for Sodankylä, Ny-Ålesund, and Utqiaġvik (Barrow). The mesh width is 13 km. Different model versions are used during this period. In February icon-nwp-2.1.02 was used followed by icon-2.3.0-nwp0 during 2018-02-14 to 2028-06-06, and from 2018-09-19 to 2018-12-05 icon-2.3.0-nwp2 was in operation. Since 2018-02-14, a new orographic data set came in operations, however, for the 3 data points provided the changes were less than 1 m in height.
Institutions: CNRM/ Universite de Toulouse/ Meteo-France/CNRS, CNRM/ Universite de Toulouse/ Meteo-France/CNRS, Norwegian Meteorological Institute / Arctic Data Centre
The version of ARPEGE submitted to YOPPsiteMIP was a pre-operational version based on the cy43t2_op1 operational system but coupled with the 1D sea-ice model GELATO. The resolution of the model used for these simulations is the same as is used operationally at Meteo France which is variable (using a stretching factor of 2.2) with the pole (highest resolution of 7.5 km) over France for SOP1 and SOP2 and over Antarctica in SOP-SH and 105 vertical levels. The horizontal resolution is about 8-9 km over the North-Pole and timeseries have been provided for the three SOPs in the MMDF format for the 21 YOPP observatories with an hourly output for both state variables (instantaneous) and fluxes (accumulated).
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. every fourth timestep). Depending on variable, the output is instantaneous or a 15-min averaged value.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre (NO/MET/ADC)
The Isfjorden Weather Information Network provides standard meteorological near-surface measurements from the Isfjorden region in Svalbard. The network includes weather stations permanently installed on lighthouses around the fjord and onboard small tourist cruise ships trafficking the fjord from the spring to the autumn. Data is available since August 2021 and new observations become available here in near real-time.
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. Location 78o13’21’’N/15o39’9’’E,
20 m above sea level. Measurements were recorded every 10 minutes
Near-surface remote sensing techniques including hyperspectral sensors are essential monitoring tools to provide spatial and temporal resolution. More frequent and finer scale observations help to monitor specific plant communities and accurately time the phenological stages of vegetation and snow cover, A Hyperspectral field sensor (FloX) was installed as an integral part of an automatic system for monitoring vegetation and environmental seasonal changes (phenology) on Svalbard (AsMoVEn) funded by SIOS. The fluorescence box (FloX) is a unique instrument, enabling continuous observation of sun-induced chlorophyll fluorescence (SIF). FLoX measures spectral data of extremely high resolution, The FloX is specifically designed to passively measure chlorophyll fluorescence under natural light conditions. The core of the system is the QEPro spectrometer from Ocean Optics covering the Red/Near Infrared region (650 – 800 nm) with a spectral resolution (FWHM) of 0.3 nm. This is the spectral range where chlorophyll fluorescence is emitted and where the two atmospheric oxygen absorption bands (O2B and O2A, at 689 nm and 760 nm respectively) are used to measure it. The FLoX has an additional spectrometer measuring in visible and NIR-region (400– 950 nm) with a spectral resolution (FWHM) of 1.5 nm allowing extraction of different vegetation indices from the visible and near-infrared region.
This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.
This data set contains daily snow cover derived from radiance data acquired by the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Joint Polar Satellite System's first satellite (JPSS-1). The data is a gridded composite, generated from 6 minute swaths, and projected to a 375 m Sinusoidal grid. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of screens designed to alleviate errors and flag uncertain snow cover detections.
This Near Real-Time (NRT) data set corresponds to the standard SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture (SPL2SMP) product. The data provide estimates of global land surface conditions measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4°S to 86.4°N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product SPL2SMP (<a href="https://doi.org/10.5067/LPJ8F0TAK6E0">https://doi.org/10.5067/LPJ8F0TAK6E0</a>).