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USING THE ROTATIONALLY INVARIANT SPECTRUM TO STUDY THE IMPACT OF ASSIMILATING INSAR PRODUCTS IN AN NWP MODEL. / Nico, Giovanni; Mateus, Pedro; Catalão, João.

International Geoscience and Remote Sensing Symposium (IGARSS). 2021. p. 7188-7191.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Nico, G, Mateus, P & Catalão, J 2021, USING THE ROTATIONALLY INVARIANT SPECTRUM TO STUDY THE IMPACT OF ASSIMILATING INSAR PRODUCTS IN AN NWP MODEL. in International Geoscience and Remote Sensing Symposium (IGARSS). pp. 7188-7191, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 11/07/21. https://doi.org/10.1109/IGARSS47720.2021.9554190

APA

Nico, G., Mateus, P., & Catalão, J. (2021). USING THE ROTATIONALLY INVARIANT SPECTRUM TO STUDY THE IMPACT OF ASSIMILATING INSAR PRODUCTS IN AN NWP MODEL. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 7188-7191) https://doi.org/10.1109/IGARSS47720.2021.9554190

Vancouver

Nico G, Mateus P, Catalão J. USING THE ROTATIONALLY INVARIANT SPECTRUM TO STUDY THE IMPACT OF ASSIMILATING INSAR PRODUCTS IN AN NWP MODEL. In International Geoscience and Remote Sensing Symposium (IGARSS). 2021. p. 7188-7191 https://doi.org/10.1109/IGARSS47720.2021.9554190

Author

Nico, Giovanni ; Mateus, Pedro ; Catalão, João. / USING THE ROTATIONALLY INVARIANT SPECTRUM TO STUDY THE IMPACT OF ASSIMILATING INSAR PRODUCTS IN AN NWP MODEL. International Geoscience and Remote Sensing Symposium (IGARSS). 2021. pp. 7188-7191

BibTeX

@inproceedings{ccc1f0627cae4424b7464a84a029a5b3,
title = "USING THE ROTATIONALLY INVARIANT SPECTRUM TO STUDY THE IMPACT OF ASSIMILATING INSAR PRODUCTS IN AN NWP MODEL",
abstract = "This work presents a study on the enhancement of Numerical Weather Prediction (NWP) model simulations when assimilating SAR interferometry (InSAR) Precipitable Waver Vapor (PWV). A 3dVar assimilation scheme is used to assimilate InSAR data. The rotationally invariant spectrum of PWV maps obtained by GNSS, InSAR, and the NWP model is computed before and after the 3dVar assimilation. The average distance of GNSS stations in this region is about 100 km. The spatial resolution of NWP model simulations is 3 km. The spectra analysis shows that there are two cut frequencies, at 10-5 m-1 ÷ 2.10-5 m-1 and at 2.10-4 m-1 ÷ 3.10-4 m-1. The lower and higher cut frequencies seem to be related to the average distance of GNSS stations and the spatial resolution of NWP simulations.",
keywords = "InSAR meteorology, Numerical Weather Prediction (NWP) model, SAR Interferometry (InSAR), Synthetic Aperture Radar (SAR)",
author = "Giovanni Nico and Pedro Mateus and Jo{\~a}o Catal{\~a}o",
year = "2021",
month = jan,
day = "1",
doi = "10.1109/IGARSS47720.2021.9554190",
language = "English",
pages = "7188--7191",
booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS)",
note = " 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS ; Conference date: 11-07-2021 Through 16-07-2021",

}

RIS

TY - GEN

T1 - USING THE ROTATIONALLY INVARIANT SPECTRUM TO STUDY THE IMPACT OF ASSIMILATING INSAR PRODUCTS IN AN NWP MODEL

AU - Nico, Giovanni

AU - Mateus, Pedro

AU - Catalão, João

PY - 2021/1/1

Y1 - 2021/1/1

N2 - This work presents a study on the enhancement of Numerical Weather Prediction (NWP) model simulations when assimilating SAR interferometry (InSAR) Precipitable Waver Vapor (PWV). A 3dVar assimilation scheme is used to assimilate InSAR data. The rotationally invariant spectrum of PWV maps obtained by GNSS, InSAR, and the NWP model is computed before and after the 3dVar assimilation. The average distance of GNSS stations in this region is about 100 km. The spatial resolution of NWP model simulations is 3 km. The spectra analysis shows that there are two cut frequencies, at 10-5 m-1 ÷ 2.10-5 m-1 and at 2.10-4 m-1 ÷ 3.10-4 m-1. The lower and higher cut frequencies seem to be related to the average distance of GNSS stations and the spatial resolution of NWP simulations.

AB - This work presents a study on the enhancement of Numerical Weather Prediction (NWP) model simulations when assimilating SAR interferometry (InSAR) Precipitable Waver Vapor (PWV). A 3dVar assimilation scheme is used to assimilate InSAR data. The rotationally invariant spectrum of PWV maps obtained by GNSS, InSAR, and the NWP model is computed before and after the 3dVar assimilation. The average distance of GNSS stations in this region is about 100 km. The spatial resolution of NWP model simulations is 3 km. The spectra analysis shows that there are two cut frequencies, at 10-5 m-1 ÷ 2.10-5 m-1 and at 2.10-4 m-1 ÷ 3.10-4 m-1. The lower and higher cut frequencies seem to be related to the average distance of GNSS stations and the spatial resolution of NWP simulations.

KW - InSAR meteorology

KW - Numerical Weather Prediction (NWP) model

KW - SAR Interferometry (InSAR)

KW - Synthetic Aperture Radar (SAR)

UR - http://www.scopus.com/inward/record.url?scp=85129876598&partnerID=8YFLogxK

U2 - 10.1109/IGARSS47720.2021.9554190

DO - 10.1109/IGARSS47720.2021.9554190

M3 - Conference contribution

AN - SCOPUS:85129876598

SP - 7188

EP - 7191

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

Y2 - 11 July 2021 through 16 July 2021

ER -

ID: 114329537