Characterization of Aeolus wind measurement errors

Living Planet Symposium, 23-27 May 2022, Bonn, Germany The resolution of regional numerical weather prediction (NWP) models has continuously been increased over the past decades, in part, thanks to the improved computational capabilities. At such small scales, the fast weather evolution is driven by...

Full description

Bibliographic Details
Main Authors: Cossu, Federico, Portabella, Marcos, Lin, Wenming, de Haan, Siebren, Marseille, Gert-Jan, Stoffelen, Ad, Vogelzang, Jur
Format: Still Image
Language:English
Published: European Space Agency 2022
Subjects:
Online Access:http://hdl.handle.net/10261/331942
id ftcsic:oai:digital.csic.es:10261/331942
record_format openpolar
spelling ftcsic:oai:digital.csic.es:10261/331942 2024-02-11T10:08:33+01:00 Characterization of Aeolus wind measurement errors Cossu, Federico Portabella, Marcos Lin, Wenming de Haan, Siebren Marseille, Gert-Jan Stoffelen, Ad Vogelzang, Jur 2022-05-25 http://hdl.handle.net/10261/331942 en eng European Space Agency Sí Living Planet Symposium (2022) http://hdl.handle.net/10261/331942 none póster de congreso 2022 ftcsic 2024-01-16T11:51:16Z Living Planet Symposium, 23-27 May 2022, Bonn, Germany The resolution of regional numerical weather prediction (NWP) models has continuously been increased over the past decades, in part, thanks to the improved computational capabilities. At such small scales, the fast weather evolution is driven by wind rather than by temperature and pressure. Over the ocean, where global NWP models are not able to resolve wind scales below 100-150 km, regional models provide wind dynamics and variance equivalent to 25 km or lower. However, although this variance is realistic, it often results in spurious circulation (e.g., moist convection systems), thus misleading weather forecasts and interpretation. An accurate and consistent initialization of the evolution of the 3 dimensional (3-D) wind structure is therefore essential in regional weather analysis. The present study is carried out in the framework of the EUMETSAT research fellowship project entitled WIND-4D, which focuses on a comprehensive characterization of the spatial scales and measurement errors for the different operational space-borne wind products currently used and/or planned to be used in regional models. In addition, a thorough investigation and improvement of the 4-D (including time) consistency between different horizontal and/or vertical satellite wind products will be carried out. Such products include the Ocean and Sea Ice Satellite Application Facility (OSI SAF) scatterometer-derived sea-surface wind fields, the Nowcasting and Very Short-Range Forecasting (NWC) SAF Atmospheric Motion Vectors (AMVs), Aeolus and/or Infrared Atmospheric Sounding Interferometer (IASI) wind profiles. Densely sampled aircraft wind profiles (Mode-S) will be used to verify and characterize the satellite products. Moreover, data assimilation experiments of the consistent datasets into the HARMONIE-AROME regional model will be carried out in two different regions, i.e., the Netherlands and the Iberian Peninsula regional configurations. Regarding the characterization of the ... Still Image Sea ice Digital.CSIC (Spanish National Research Council) Aeolus ENVELOPE(161.267,161.267,-77.483,-77.483)
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language English
description Living Planet Symposium, 23-27 May 2022, Bonn, Germany The resolution of regional numerical weather prediction (NWP) models has continuously been increased over the past decades, in part, thanks to the improved computational capabilities. At such small scales, the fast weather evolution is driven by wind rather than by temperature and pressure. Over the ocean, where global NWP models are not able to resolve wind scales below 100-150 km, regional models provide wind dynamics and variance equivalent to 25 km or lower. However, although this variance is realistic, it often results in spurious circulation (e.g., moist convection systems), thus misleading weather forecasts and interpretation. An accurate and consistent initialization of the evolution of the 3 dimensional (3-D) wind structure is therefore essential in regional weather analysis. The present study is carried out in the framework of the EUMETSAT research fellowship project entitled WIND-4D, which focuses on a comprehensive characterization of the spatial scales and measurement errors for the different operational space-borne wind products currently used and/or planned to be used in regional models. In addition, a thorough investigation and improvement of the 4-D (including time) consistency between different horizontal and/or vertical satellite wind products will be carried out. Such products include the Ocean and Sea Ice Satellite Application Facility (OSI SAF) scatterometer-derived sea-surface wind fields, the Nowcasting and Very Short-Range Forecasting (NWC) SAF Atmospheric Motion Vectors (AMVs), Aeolus and/or Infrared Atmospheric Sounding Interferometer (IASI) wind profiles. Densely sampled aircraft wind profiles (Mode-S) will be used to verify and characterize the satellite products. Moreover, data assimilation experiments of the consistent datasets into the HARMONIE-AROME regional model will be carried out in two different regions, i.e., the Netherlands and the Iberian Peninsula regional configurations. Regarding the characterization of the ...
format Still Image
author Cossu, Federico
Portabella, Marcos
Lin, Wenming
de Haan, Siebren
Marseille, Gert-Jan
Stoffelen, Ad
Vogelzang, Jur
spellingShingle Cossu, Federico
Portabella, Marcos
Lin, Wenming
de Haan, Siebren
Marseille, Gert-Jan
Stoffelen, Ad
Vogelzang, Jur
Characterization of Aeolus wind measurement errors
author_facet Cossu, Federico
Portabella, Marcos
Lin, Wenming
de Haan, Siebren
Marseille, Gert-Jan
Stoffelen, Ad
Vogelzang, Jur
author_sort Cossu, Federico
title Characterization of Aeolus wind measurement errors
title_short Characterization of Aeolus wind measurement errors
title_full Characterization of Aeolus wind measurement errors
title_fullStr Characterization of Aeolus wind measurement errors
title_full_unstemmed Characterization of Aeolus wind measurement errors
title_sort characterization of aeolus wind measurement errors
publisher European Space Agency
publishDate 2022
url http://hdl.handle.net/10261/331942
long_lat ENVELOPE(161.267,161.267,-77.483,-77.483)
geographic Aeolus
geographic_facet Aeolus
genre Sea ice
genre_facet Sea ice
op_relation
Living Planet Symposium (2022)
http://hdl.handle.net/10261/331942
op_rights none
_version_ 1790607934599725056