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Analysis of institutional authors

San Jose, R.AuthorPerez, J. L.AuthorMorant, J. L.Author

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June 9, 2019
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Proceedings Paper
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Remote sensing data assimilation in WRF-UCM mesoscale model: Madrid case study

Publicated to: Wit Transactions On Ecology And The Environment. 136 15-+ - 2010-01-01 136(), DOI: 10.2495/AIR100021

Authors:

San Jose, R; Perez, J L; Morant, J L; Gonzalez, R M
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Affiliations

Tech Univ Madrid UPM, Sch Comp Sci, Environm Software & Modelling Grp, Madrid, Spain - Author
Univ Complutense Madrid, Fac Phys, Dept Metereol & Phys, E-28040 Madrid, Spain - Author

Abstract

Data assimilation is a powerful numerical technique that is used to substantially improve numerical meteorological simulations. In this contribution we have used the WRF mesoscale meteorological model (NCAR, US) to show the importance of using remote sensing data (satellite and tower data), the sensitivity of the results and the improvement when compared with observational surface data (wind and temperature). We have used CLC100 m instead of GTOPO 30, 10 m spatial resolution GIS data of Madrid (Spain) city to produce urban land use types according to the Urban Canopy Model (UCM) (NCAR) approach: airborne temperature (4 m spatial resolution), albedo, anthropogenic heat flux, shadowing in UCM and tower data (wind and temperature). The results show a high sensitivity to all of these parameters. For historical simulations - where in-situ meteorological data is available - data assimilation is a crucial tool to improve the results. The sensitivity of the results to the different high resolution input data is also crucial for the results of the simulation. The correlation coefficient for temperature is improved up to 0.960.
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Keywords

Data assimilationMesoscale modelsRemote sensing

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Wit Transactions On Ecology And The Environment, Q3 Agency Scopus (SJR), its regional focus and specialization in Environmental Science (Miscellaneous), give it significant recognition in a specific niche of scientific knowledge at an international level.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-12-21:

  • WoS: 1
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-12-21:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 9 (PlumX).
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (SAN JOSE GARCIA, ROBERTO) .

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Awards linked to the item

We would like to acknowledge INDRA ESPACIO for the remote data provided from different satellites and sources and for partially funding this research. We would also like to acknowledge the BRIDGE EU project FP7/2007-2013, under grant agreement 211345, which partially funded this research. The authors thankfully acknowledge the computer resources, technical expertise and assistance provided by the Centro de Supercomputacion y Visualization de Madrid (CeSVIMa) and the Spanish Supercomputing Network.
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