Continuous Multitrack Assimilation of Sentinel‐1 Precipitable Water Vapor Maps for Numerical Weather Prediction: How Far Can We Go With Current InSAR Data?-Reference-Cited by-同舟云学术

Continuous Multitrack Assimilation of Sentinel‐1 Precipitable Water Vapor Maps for Numerical Weather Prediction: How Far Can We Go With Current InSAR Data?

Published:2021-02-05 Issue:3 Volume:126 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:Geophys Res Atmos

Author:

Mateus P.¹^ORCID,Miranda P. M. A.¹^ORCID,Nico G.²³^ORCID,Catalao J.¹^ORCID

Affiliation:

1. Instituto Dom Luiz Faculdade de Ciências Universidade de Lisboa Lisbon Portugal

2. Istituto per le Applicazioni del Calcolo Consiglio Nazionale delle Ricerche Bari Italy

3. Department of Cartography and Geoinformatics Institute of Earth Sciences Saint Petersburg State University (SPSU) Saint Petersburg Russia

Funder

Fundação para a Ciência e a Tecnologia

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020JD034171

Reference35 articles.

1. A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results

2. The quiet revolution of numerical weather prediction

3. On the structure of water vapour feedbacks in climate models

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