Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021A new gas absorption optical depth parameterisation for RTTOV version 1324citations

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Chart of shared publication
Brunel, Pascal
1 / 1 shared
Turner, Emma
1 / 6 shared
Silveira, Bruna
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Vidot, Jérôme
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Hocking, James
1 / 1 shared
Roquet, Pascale
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2021

Co-Authors (by relevance)

  • Brunel, Pascal
  • Turner, Emma
  • Silveira, Bruna
  • Vidot, Jérôme
  • Hocking, James
  • Roquet, Pascale
OrganizationsLocationPeople

article

A new gas absorption optical depth parameterisation for RTTOV version 13

  • Brunel, Pascal
  • Lupu, Cristina
  • Turner, Emma
  • Silveira, Bruna
  • Vidot, Jérôme
  • Hocking, James
  • Roquet, Pascale
Abstract

<jats:p>Abstract. This paper describes a new gas optical depth parameterisation implemented in the most recent release, version 13, of the radiative transfer model RTTOV (Radiative Transfer for TOVS). RTTOV is a fast, one-dimensional radiative transfer model for simulating top-of-atmosphere visible, infrared, and microwave radiances observed by downward-viewing space-borne passive sensors. A key component of the model is the fast parameterisation of absorption by the various gases in the atmosphere. The existing parameterisation in RTTOV has been extended over many years to allow for additional variable gases in RTTOV simulations and to account for solar radiation and better support geostationary sensors by extending the validity to higher zenith angles. However, there are limitations inherent in the current approach which make it difficult to develop it further, for example by adding new variable gases. We describe a new parameterisation that can be applied across the whole spectrum, that allows for a wide range of zenith angles in support of solar radiation and geostationary sensors, and for which it will be easier to add new variable gases in support of user requirements. Comparisons against line-by-line radiative transfer simulations and against observations in the ECMWF operational system yield promising results, suggesting that the new parameterisation generally compares well with the old one in terms of accuracy. Further validation is planned, including testing in operational numerical weather prediction data assimilation systems.</jats:p>

Topics
  • impedance spectroscopy
  • simulation
  • one-dimensional