Meteorological observations from the automatic weather stations Drescher and Filchner, 1991-2002

Automatic weather stations (AWS) are due to the extreme cold conditions an attractive option to get more dens climatic data from Antarctica. These data is needed for weather forecast models or other climatic models. Data sets of the European Centre for Medium-Range Weather Forecasts (ECMWF) analysis...

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Bibliographic Details
Main Authors: Brüne, Markus, König-Langlo, Gert
Format: Dataset
Language:English
Published: PANGAEA 2002
Subjects:
AWI_Meteo
Meteorological Long-Term Observations @ AWI
Southern Ocean
Weddell
Weddell Sea
Antarc*
Antarctica
Sea ice
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.872940
https://doi.org/10.1594/PANGAEA.872940
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.872940
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.872940 2023-05-15T13:44:47+02:00 Meteorological observations from the automatic weather stations Drescher and Filchner, 1991-2002 Brüne, Markus König-Langlo, Gert MEDIAN LATITUDE: -74.970555 * MEDIAN LONGITUDE: -34.586945 * SOUTH-BOUND LATITUDE: -77.071110 * WEST-BOUND LONGITUDE: -50.108890 * NORTH-BOUND LATITUDE: -72.870000 * EAST-BOUND LONGITUDE: -19.065000 * DATE/TIME START: 1991-01-01T03:00:00 * DATE/TIME END: 2002-05-31T21:00:00 2002-02-25 application/zip, 2 datasets https://doi.pangaea.de/10.1594/PANGAEA.872940 https://doi.org/10.1594/PANGAEA.872940 en eng PANGAEA https://doi.pangaea.de/10.1594/PANGAEA.872940 https://doi.org/10.1594/PANGAEA.872940 CC-BY-3.0: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Supplement to: Brüne, Markus (2002): Interpretation of data from the automatic weather stations Drescher and Filchner and Comparison with European Centre for Medium-Range Weather Forecasts (ECMWF) analysis model results. Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany, 44 pp, hdl:10013/epic.50460.d001 AWI_Meteo Meteorological Long-Term Observations @ AWI Dataset 2002 ftpangaea https://doi.org/10.1594/PANGAEA.872940 2023-01-20T07:33:54Z Automatic weather stations (AWS) are due to the extreme cold conditions an attractive option to get more dens climatic data from Antarctica. These data is needed for weather forecast models or other climatic models. Data sets of the European Centre for Medium-Range Weather Forecasts (ECMWF) analysis model are used for comparison with AWS in the Weddell Sea. This region if of particular interest for the BRIOS2 (Bremerhaven Regional Ice-Ocean Simulations) model which produce results related to sea ice processes, water mass modifications and circulation patterns, all leading to a better understanding of the thermohaline ocean circulation in the Southern Ocean. Therefore, observation at AWS' can be used as a validation of the ECMWF model and can reveal sources for errors for climate models using a ECMWF forcing. Dataset Antarc* Antarctica Sea ice Southern Ocean Weddell Sea PANGAEA - Data Publisher for Earth & Environmental Science Southern Ocean Weddell Weddell Sea ENVELOPE(-50.108890,-19.065000,-72.870000,-77.071110)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic AWI_Meteo
Meteorological Long-Term Observations @ AWI
spellingShingle AWI_Meteo
Meteorological Long-Term Observations @ AWI
Brüne, Markus
König-Langlo, Gert
Meteorological observations from the automatic weather stations Drescher and Filchner, 1991-2002
topic_facet AWI_Meteo
Meteorological Long-Term Observations @ AWI
description Automatic weather stations (AWS) are due to the extreme cold conditions an attractive option to get more dens climatic data from Antarctica. These data is needed for weather forecast models or other climatic models. Data sets of the European Centre for Medium-Range Weather Forecasts (ECMWF) analysis model are used for comparison with AWS in the Weddell Sea. This region if of particular interest for the BRIOS2 (Bremerhaven Regional Ice-Ocean Simulations) model which produce results related to sea ice processes, water mass modifications and circulation patterns, all leading to a better understanding of the thermohaline ocean circulation in the Southern Ocean. Therefore, observation at AWS' can be used as a validation of the ECMWF model and can reveal sources for errors for climate models using a ECMWF forcing.
format Dataset
author Brüne, Markus
König-Langlo, Gert
author_facet Brüne, Markus
König-Langlo, Gert
author_sort Brüne, Markus
title Meteorological observations from the automatic weather stations Drescher and Filchner, 1991-2002
title_short Meteorological observations from the automatic weather stations Drescher and Filchner, 1991-2002
title_full Meteorological observations from the automatic weather stations Drescher and Filchner, 1991-2002
title_fullStr Meteorological observations from the automatic weather stations Drescher and Filchner, 1991-2002
title_full_unstemmed Meteorological observations from the automatic weather stations Drescher and Filchner, 1991-2002
title_sort meteorological observations from the automatic weather stations drescher and filchner, 1991-2002
publisher PANGAEA
publishDate 2002
url https://doi.pangaea.de/10.1594/PANGAEA.872940
https://doi.org/10.1594/PANGAEA.872940
op_coverage MEDIAN LATITUDE: -74.970555 * MEDIAN LONGITUDE: -34.586945 * SOUTH-BOUND LATITUDE: -77.071110 * WEST-BOUND LONGITUDE: -50.108890 * NORTH-BOUND LATITUDE: -72.870000 * EAST-BOUND LONGITUDE: -19.065000 * DATE/TIME START: 1991-01-01T03:00:00 * DATE/TIME END: 2002-05-31T21:00:00
long_lat ENVELOPE(-50.108890,-19.065000,-72.870000,-77.071110)
geographic Southern Ocean
Weddell
Weddell Sea
geographic_facet Southern Ocean
Weddell
Weddell Sea
genre Antarc*
Antarctica
Sea ice
Southern Ocean
Weddell Sea
genre_facet Antarc*
Antarctica
Sea ice
Southern Ocean
Weddell Sea
op_source Supplement to: Brüne, Markus (2002): Interpretation of data from the automatic weather stations Drescher and Filchner and Comparison with European Centre for Medium-Range Weather Forecasts (ECMWF) analysis model results. Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany, 44 pp, hdl:10013/epic.50460.d001
op_relation https://doi.pangaea.de/10.1594/PANGAEA.872940
https://doi.org/10.1594/PANGAEA.872940
op_rights CC-BY-3.0: Creative Commons Attribution 3.0 Unported
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.1594/PANGAEA.872940
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