Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > Impact of the New ERA5 Reanalysis in the Computation of Radar Altimeter Wet Path Delays
Publication

Publications

Impact of the New ERA5 Reanalysis in the Computation of Radar Altimeter Wet Path Delays

Title
Impact of the New ERA5 Reanalysis in the Computation of Radar Altimeter Wet Path Delays
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
Vol. 57
Pages: 9849-9857
ISSN: 0196-2892
Publisher: IEEE
Other information
Authenticus ID: P-00Q-XWV
Abstract (EN): Satellite altimetry allows the estimation of accurate water surface heights only with accurate determination of all involved terms, namely, the wet tropospheric correction (WTC) or its symmetric value, the wet path delay (WPD). WPD is best determined from onboard microwave radiometer (MWR) measurements; however, the corresponding WPD retrievals become invalid close to land (e.g., coastal and inland waters). Alternative WPD sources are numerical weather models (NWMs), e.g., from the European Centre for Medium-Range Weather Forecasts (ECMWF). NWMs provide the parameters at 6-h intervals; however, ERA5 (the latest ECMWF reanalysis) provides hourly atmospheric parameters at $0.25<^>{\circ } \times 0.25<^>{\circ }$ . The best spatial resolution is provided by the ECMWF operational model at $0.125<^>{\circ } \times 0.125<^>{\circ }$ . Motivated by this new and improved temporal resolution, the focus of this paper is the global assessment of the impact of different temporal resolutions of ERA5 in the WPD computation. The same assessment is also performed concerning the spatial resolution of ERA5 and operational models. Aiming to identify the best compromise between spatial/temporal resolutions, accuracy, and computational time, WPDs computed using various combinations of these resolutions were inter-compared and compared with MWR-derived WPD. The results show that the global root mean square (RMS) of the differences between MWR and ERA5 is 1.2 cm and the effect of using 1-h intervals instead of 6-h intervals is small, significant only for latitudes 3060 S and 3060 N. Hourly intervals do not have a significant impact on the WPD from ERA5, being a temporal resolution of 3 h high enough to ensure the same accuracy of 1 h, showing that ERA5 cannot map the WPD short space and time scales.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 9
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
Modelling the Altitude Dependence of the Wet Path Delay for Coastal Altimetry Using 3-D Fields from ERA5 (2019)
Article in International Scientific Journal
Vieira, T; Fernandes, MJ; Clara Lazaro

See all (11)

Of the same journal

Retrieving TSM concentration from multispectral satellite data by multiple regression and artificial neural networks (2007)
Article in International Scientific Journal
Ana C Teodoro; Fernando Veloso Gomes; Hernani Goncalves
Monitoring Vegetation Dynamics Inferred by Satellite Data Using the PhenoSat Tool (2013)
Article in International Scientific Journal
Arlete Rodrigues; Andre R S Marcal; Mario Cunha
Improved Sea State Bias Estimation for Altimeter Reference Missions With Altimeter-Only Three-Parameter Models (2019)
Article in International Scientific Journal
N. Pires; Fernandes, MJ; Gommenginger, C; Scharroo, R
Impact Analysis of Global Warming on Wet Path Delay Over the Satellite Altimetry Era (1993-2022) (2024)
Article in International Scientific Journal
Vieira, T; Aguiar, P; Clara Lazaro; Vasconcellos, B; Fernandes, MJ

See all (10)

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: 2025-07-13 at 11:42:07 | Privacy Policy | Personal Data Protection Policy | Whistleblowing