MET Norway's operational ocean model ROMS is run on the NorKyst-800m
grid, a polar-stereographic grid covering the Norwegian coastal zone
with 800 m grid spacing. The model is run daily (00UTC) with
atmospheric forcing from Arome2.5km, vertical boundary conditions
from Nordic-4km, and tides from TPXO 7.2, to provide forecasts to
+66 hrs.
The daily operational runs are joined into a long timeseries using a
best estimate approach.
Miljølaster Fjordkrysning E39 Statens vegvesen region midt
Institutions: The Norwegian Public Roads Administration
Last metadata update: 2020-08-29T12:45:00Z
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Abstract:
This is a collection of observations from several moored buoys in the Norwegian archipelago and fjords. The buoys measure wind and waves as well as currents, temperature and salinity at several depths in Halsafjord, Sulafjord and Vartdalsfjord and at an offshore location (winter 2019/2020). Both high-frequency recordings of 0,5 - 2 Hz and 10 - 20 minute mean values are provided. The data collection is co-located with the data collection Meteorological Observations in tall masts for the Coastal Highway E39 project in Mid-Norway ( https://adc.met.no/datasets/10.21343/z9n1-qw63 ). The first buoys were deployed October 2016 and the campaign will continue until at least 2024. The dataset is publicly available.
Historical AROME Arctic files from the operational numerical weather prodiction model run. The moste recent datasets are also available labelled post-processed or extracted as separate datsets.
Post processed forecasts based on the latest run of the AROME-Arctic model. Parameters like temperature, cloud cover, precipitation and wind have gone through additional post-processing. Horizontal data resolution is 2,5km. The forecast is updated 4 times per day. For historical data see https://thredds.met.no/thredds/catalog/aromearcticarchive/catalog.html
Extracted variables based on the latest run of the AROME-Arctic model, without additional post-processing. Data on surface, and selected model and pressure levels. Horizontal data resolution is 2,5km. The forecast is updated 4 times per day. For historical data see https://thredds.met.no/thredds/catalog/aromearcticarchive/catalog.html
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2021-11-04T16:50:00Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99880. Data are climate consistent following a number of automated and manual quality control routines.
This ocean model is operated at 20km resolution covering the Nordic Seas
and the Arctic Ocean. This specific dataset provides the daily analysis
from the operational model. Only the analysis is provided for historical
periods, the daily forecast with 1 hour resolution is provided as a
separate dataset. Currently the WMS presentation of this dataset is not
supporting the 3D nature.
A numerical model is applied to describe the dynamics of the oceans, such
as sea level variations (tides and storm surge), movements in the water
column (currents) and the salinity and temperature. To simulate the ocean,
a 3-D grid is applied with different sizes, i.e., small grids for fine
scale or detailed calculations, and larger or coarser grids to cover
larger areas (and depth). The model runs on a supercomputer, and provides
forecasts of sea level, currents, salinity and temperature for a
time-range between 66 (2.75 days) and 240 hours (10 days). The model is
run operationally, i.e, in a "24/7/365" environment to provide a 99.5%
stability on a yearly basis. Currents from the model is further applied in
emergency-models that simulates pathways of oil slicks and drifting
objects (Search And Rescue).
The ocean model used is the Regional Ocean Modeling System (ROMS). This is
a three-dimensional, free-surface, terrain-following numerical model that
solve the Reynolds-averaged Navier-Stokes equations using the hydrostatic
and Boussinesq assumptions (Haidvogel et al., 2008).
Haidvogel, D. B., H. Arango, W. P. Budgell, B. D. Cornuelle, E.
Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L.
Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M.
Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner,
and J. Wilkin, Ocean forecasting in terrain-following coordinates:
Formulation and skill assessment of the Regional Ocean Modeling System,
JOURNAL OF COMPUTATIONAL PHYSICS, 227, 3595–3624, 2008.
THIS MODEL IS DISCONTINUED AND NO FORECAST DATA IS AVAILABLE ONLINE.
This ocean model is operated at 20km resolution covering the Nordic Seas
and the Arctic Ocean. This specific dataset provides the hourly forecast
fields from the operational model. For historical purposes, the daily
analysis is provided as another dataset. If for some reason the
historical forecast is required, pleased use the contact information
provided to receive this (manual task).
A numerical model is applied to describe the dynamics of the oceans, such
as sea level variations (tides and storm surge), movements in the water
column (currents) and the salinity and temperature. To simulate the ocean,
a 3-D grid is applied with different sizes, i.e., small grids for fine
scale or detailed calculations, and larger or coarser grids to cover
larger areas (and depth). The model runs on a supercomputer, and provides
forecasts of sea level, currents, salinity and temperature for a
time-range between 66 (2.75 days) and 240 hours (10 days). The model is
run operationally, i.e, in a "24/7/365" environment to provide a 99.5%
stability on a yearly basis. Currents from the model is further applied in
emergency-models that simulates pathways of oil slicks and drifting
objects (Search And Rescue).
The ocean model used is the Regional Ocean Modeling System (ROMS). This is
a three-dimensional, free-surface, terrain-following numerical model that
solve the Reynolds-averaged Navier-Stokes equations using the hydrostatic
and Boussinesq assumptions (Haidvogel et al., 2008).
Haidvogel, D. B., H. Arango, W. P. Budgell, B. D. Cornuelle, E.
Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L.
Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M.
Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner,
and J. Wilkin, Ocean forecasting in terrain-following coordinates:
Formulation and skill assessment of the Regional Ocean Modeling System,
JOURNAL OF COMPUTATIONAL PHYSICS, 227, 3595–3624, 2008.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2021-11-04T16:50:00Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99740. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-01-13T17:55:09Z
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Abstract:
Sea ice concentration charts based on a manual interpretation of different satellite data. The main satellite sensor used are the SAR sensor (Synthetic Aperture Radar) suplemented by visual and infrared sensors and data from passive microwave sensors. As part of the Copernicus project the sea ice concentration product is gridded to a 1km spatial resoluton and converted to a NetCDF format. The concentration intervals follow the World Meteorological Organization (WMO) total concentration standard. A new product is delivered every weekday around 1500 UTC.
International Polar Year, Integrated Arctic Ocean Observing System - Norway, Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies (IPY, iAOOS-Norway, DAMOCLES)
Institutions: Norwegian Polar Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2009-05-05T10:48:07Z
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Abstract:
Radiation measurements made during the spring 2008 cruise to the Fram Strait. Transmission of light through ice, measured by divers on day 4 of fifth floe. At fourth site, approx. 20 m from ice edge, 0.42 m snow on 1.04 m ice. Each measurement type (incident, reflected, etc) was made with a different TriOS Ramses spectroradiometer. These are known to have calibration issues at the longest and shortest wavelengths for which data are reported; we recommend using only data from about 350 to 920 nm. No significant quality control has been done to these data.
Access: Open