On the improvement of ASCAT wind data assimilation in global NWP

On the improvement of ASCAT wind data assimilation in global NWP

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23-28 July 2017, Fort Worth, TX, USA.-- 4 pages, 4 figures.-- © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

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Main Authors: Lin, Wenming, Portabella, Marcos, Stoffelen, Ad, de Chiara, Giovanna, Martínez, Justino
Format: capítulo de libro biblioteca
Published: Institute of Electrical and Electronics Engineers 2017-07-23
Online Access:http://hdl.handle.net/10261/161792
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spelling dig-icm-es-10261-1617922021-12-01T13:00:17Z On the improvement of ASCAT wind data assimilation in global NWP Lin, Wenming Portabella, Marcos Stoffelen, Ad de Chiara, Giovanna Martínez, Justino 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23-28 July 2017, Fort Worth, TX, USA.-- 4 pages, 4 figures.-- © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works The assimilation of Advanced Scatterometer (ASCAT) winds has proven to be beneficial for the European Center for Medium Range Weather Forecasting (ECMWF) system, particularly over the Tropics. In this study, several important aspects of the ASCAT data are addressed in order to further test and improve the impact of scatterometer wind data assimilation into ECMWF Integrated Forecasting System (IFS). First, an improved wind quality control (QC) is proposed and used to remove unrepresentative ASCAT winds. Second, a new ASCAT wind product, more representative of the ECMWF model resolved scales, is produced by averaging the relatively-high resolution ASCAT wind vector cells to lower resolution in an aggregation process. Two months of ASCAT low resolution data are then used to evaluate the impact of the refined QC and the aggregation technique on the IFS data assimilation Peer Reviewed 2018-03-07T13:09:25Z 2018-03-07T13:09:25Z 2017-07-23 2018-03-07T13:09:26Z capítulo de libro http://purl.org/coar/resource_type/c_3248 issn: 2153-7003 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): 402-405 (2017) 978-1-5090-4951-6 978-1-5090-4950-9 http://hdl.handle.net/10261/161792 10.1109/IGARSS.2017.8126980 https://doi.org/10.1109/IGARSS.2017.8126980 Sí open Institute of Electrical and Electronics Engineers
institution ICM ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-icm-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del ICM España
description 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23-28 July 2017, Fort Worth, TX, USA.-- 4 pages, 4 figures.-- © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
format capítulo de libro
author Lin, Wenming
Portabella, Marcos
Stoffelen, Ad
de Chiara, Giovanna
Martínez, Justino
spellingShingle Lin, Wenming
Portabella, Marcos
Stoffelen, Ad
de Chiara, Giovanna
Martínez, Justino
On the improvement of ASCAT wind data assimilation in global NWP
author_facet Lin, Wenming
Portabella, Marcos
Stoffelen, Ad
de Chiara, Giovanna
Martínez, Justino
author_sort Lin, Wenming
title On the improvement of ASCAT wind data assimilation in global NWP
title_short On the improvement of ASCAT wind data assimilation in global NWP
title_full On the improvement of ASCAT wind data assimilation in global NWP
title_fullStr On the improvement of ASCAT wind data assimilation in global NWP
title_full_unstemmed On the improvement of ASCAT wind data assimilation in global NWP
title_sort on the improvement of ascat wind data assimilation in global nwp
publisher Institute of Electrical and Electronics Engineers
publishDate 2017-07-23
url http://hdl.handle.net/10261/161792
work_keys_str_mv AT linwenming ontheimprovementofascatwinddataassimilationinglobalnwp
AT portabellamarcos ontheimprovementofascatwinddataassimilationinglobalnwp
AT stoffelenad ontheimprovementofascatwinddataassimilationinglobalnwp
AT dechiaragiovanna ontheimprovementofascatwinddataassimilationinglobalnwp
AT martinezjustino ontheimprovementofascatwinddataassimilationinglobalnwp
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