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Observations and ensemble statics of the TOPAZ4 reanalysis of 1991-2013

Jiping Xie

This dataset is collective static information outputted by the TOPAZ4 reanalysis in 1991-2013. They include the assimilated observations and the concerned optimization information using the EnKF. Also they are ones of the basic reference datasets for the paper of “Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013” accepted by Ocean Science in January 2017. The file ensemble-static-TOPAZ4-part0.tar.gz contains files before 20000 (Julian day relative to 1/1/1950) and ensemble-static-TOPAZ4-part1.tar.gz contains files after 20000.

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Arctic Ocean and Sea-ice Reanalysis from TOPAZ4 (1991-2018)

Laurent Bertino

A data-assimilative reanalyses of ocean and sea ice in the Arctic are composed of 3D daily and monthly mean fields of temperature, salinity, sea surface height, zonal velocity, meridional velocity, sea ice concentration, sea ice thickness and sea ice velocity. It was generated from TOPAZ4 which is driven by the forcing of ERA-Interim reanalysis during the years of 1991-2018. The files named as TP4a_002-003_daily_yyyy.tgz in which the daily state using netCDF format covers the Arctic ocean (>58N) by the grids with a spatial resolution of 12.5x12.5 km and 40 levels on vertical (0, 2, 4, 6, 10, 15, 20, 25, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1000, 1200, 1400, 1600, 1800, 2000, 2500, 3000, 3500, 4000). TOPAZ4 is a coupled ocean and sea ice data assimilation system for the North Atlantic and the Arctic that is based on the HYCOM ocean model and the ensemble Kalman filter data assimilation method using 100 dynamical members. The native ocean model uses 28 hybrid z-isopycnal layers, and the top layer has a minimum thickness of 3 m. The horizontal resolution in the model is 12–16 km, which is eddy permitting from the Equator to the Nordic Seas but is still far from being eddy resolving in the Arctic. The concerned daily outputs on the model native grids are also included in this dataset whose name takes the format of TP4DAILY_yyyy.tar.gz. These daily files are binary format with the suffix .a. The .b files are ACSII and list the related fields in the concerned .a files. The matlab script of loada.m is a function how to load one field from the input .a file, which needs the supports from the model grid information from reginal.

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NERSC Arctic Sea Ice Observing System

Tor I. Olaussen

Daily ice maps and statistics in the Arctic region since 1978 until present.

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Navn på prosjekter NERSC internal

Fram Strait/Ocean Acidification in the Arctic

Asuka Yamakawa

This dataset was collected as part of the Sailbuoy "Ocean Acidification Vehicle" (OAV) (Iskant seilas) project. A new sensor package developed by Aanderaa Data Instruments was used to measure temperature, conductivity, pH, partial pressure of carbon dioxide (pCO2), and dissolved oxygen (O2). Most of the sensors were housed in a bulb on the keel of the SailBuoy together with a UV-antifouling device. Data were recorded in the Fram Strait every 10 min. from 30 June 2016 to 18 July 2016, when the Sailbuoy was deployed and recovered during the UNDER-ICE 2016 field experiment.

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Navn på prosjekter {"Iskantseilas (RFF contract 248173)",""}