Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > Modelling the Altitude Dependence of the Wet Path Delay for Coastal Altimetry Using 3-D Fields from ERA5
Publication

Publications

Modelling the Altitude Dependence of the Wet Path Delay for Coastal Altimetry Using 3-D Fields from ERA5

Title
Modelling the Altitude Dependence of the Wet Path Delay for Coastal Altimetry Using 3-D Fields from ERA5
Type
Article in International Scientific Journal
Year
2019
Authors
Vieira, T
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Fernandes, MJ
(Author)
FCUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Clara Lazaro
(Author)
FCUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Journal
Title: Remote SensingImported from Authenticus Search for Journal Publications
Vol. 11
Final page: 2973
ISSN: 2072-4292
Publisher: MDPI
Other information
Authenticus ID: P-00R-FR2
Abstract (EN): Wet path delay (WPD) for satellite altimetry has been provided from external sources, raising the need of converting this value between different altitudes. The only expression available for this purpose considers the same altitude reduction, irrespective of geographic location and time. The focus of this study is the modelling of the WPD altitude dependence, aiming at developing improved expressions. Using ERA5 pressure level fields (2010-2013), WPD vertical profiles were computed globally. At each location and for each vertical profile, an exponential function was fitted using least squares, determining the corresponding decay coefficient. The time evolution of these coefficients reveals regions where they are highly variable, making this modelling more difficult, and regions where an annual signal exists. The output of this modelling consists of a set of so-called University of Porto (UP) coefficients, dependent on geographic location and time. An assessment with ERA5 data (2014) shows that for the location where the Kouba coefficient results in a maximum Root Mean Square (RMS) error of 3.2 cm, using UP coefficients this value is 1.2 cm. Independent comparisons with WPD derived from Global Navigation Satellite Systems and radiosondes show that the use of UP coefficients instead of Kouba's leads to a decrease in the RMS error larger than 1 cm.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 21
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same authors

On the role of the troposphere in satellite altimetry (2021)
Another Publication in an International Scientific Journal
Fernandes, MJ; Clara Lazaro; Vieira, T
A coastally improved global dataset of wet tropospheric corrections for satellite altimetry (2019)
Other Publications
Clara Lazaro; Fernandes, MJ; Vieira, T; Vieira, E
A coastally improved global dataset of wet tropospheric corrections for satellite altimetry (2020)
Other Publications
Clara Lazaro; Fernandes, MJ; Vieira, T; Vieira, E
Synergistic Use of the SRAL/MWR and SLSTR Sensors on Board Sentinel-3 for the Wet Tropospheric Correction Retrieval (2022)
Article in International Scientific Journal
Aguiar, P; Vieira, T; Clara Lazaro; Fernandes, MJ

See all (11)

Of the same journal

Using a Tandem Flight Configuration between Sentinel-6 and Jason-3 to Compare SAR and Conventional Altimeters in Sea Surface Signatures of Internal Solitary Waves (2023)
Article in International Scientific Journal
Magalhaes, JM; Lapa, IG; Santos Ferreira, AM; da Silva, JCB; Piras, F; Moreau, T; Amraoui, S; Passaro, M; Schwatke, C; Hart Davis, M; Maraldi, C; Donlon, C
'The Best of Two Worlds'-Combining Classifier Fusion and Ecological Models to Map and Explain Landscape Invasion by an Alien Shrub (2021)
Article in International Scientific Journal
Mouta, N; Silva, R; Pais, S; Alonso, JM; Goncalves, JF; Joao Honrado; Vicente, JR
Synergistic Use of the SRAL/MWR and SLSTR Sensors on Board Sentinel-3 for the Wet Tropospheric Correction Retrieval (2022)
Article in International Scientific Journal
Aguiar, P; Vieira, T; Clara Lazaro; Fernandes, MJ
Studies of Internal Waves in the Strait of Georgia Based on Remote Sensing Images (2019)
Article in International Scientific Journal
Wang, CX; Wang, X; da Silva, JCB

See all (50)

Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-15 at 09:19:39 | Privacy Policy | Personal Data Protection Policy | Whistleblowing