Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Marco Matricardi"'
Autor:
Robin J. Hogan, Marco Matricardi
Publikováno v:
Journal of Advances in Modeling Earth Systems. 14
Autor:
Robin J. Hogan, Marco Matricardi
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 6501-6521 (2020)
Most radiation schemes in weather and climate models use the “correlated k distribution” (CKD) method to treat gas absorption, which approximates a broadband spectral integration by N pseudo-monochromatic calculations. Larger N means more accurac
Autor:
Samuel Quesada Ruiz, Marco Matricardi, Gareth Thomas, Angela Benedetti, Julie Letertre Danczak
The ESA-funded Aerosol Radiance Assimilation Study (ARAS) has provided ground-breaking research in using visible radiance data from satellite to estimate the concentration of aerosols.Satellite observations in the infrared and microwave parts of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06925549f3e37d85787829939d1e0897
https://doi.org/10.5194/egusphere-egu21-10986
https://doi.org/10.5194/egusphere-egu21-10986
Autor:
W. Paul Menzel, Zhenglong Li, L. Larrabee Strow, Jun Li, James A. Jung, Agnes Lim, Manuel López-Puertas, Sergio DeSouza-Machado, Marco Matricardi
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
In recent years, significant progress has been made in fast radiative transfer model (RTM) simulation of daytime nonlocal thermodynamic equilibrium (NLTE) emission. However, NLTE remains as one important reason that prevents the hyperspectral shortwa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de21b27b368a91ff4abca9879bcedb5f
http://hdl.handle.net/10261/219132
http://hdl.handle.net/10261/219132
Autor:
Gareth Thomas, Samuel Quesada Ruiz, Julie Letertre-Danczak, Marco Matricardi, Angela Benedetti
The Aerosol Radiance Assimilation Study (ARAS) has created a new approach for the assimilation of visible/near-IR radiances into the ECMWF’s Integrated Forecast System (IFS) for the constraining aerosol properties within the model. The capability i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb7d4938b2015c7afbad45d4136af2f1
https://doi.org/10.5194/egusphere-egu2020-20358
https://doi.org/10.5194/egusphere-egu2020-20358
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
The direct assimilation in 4D-Var of principal component (PC) scores derived from Infrared Atmospheric Sounding Interferometer (IASI) spectra has recently been demonstrated. To maximize the exploitation of the IASI instrument, a future step is to con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a5b4d2b4117f158b442db58f3c22be0
http://hdl.handle.net/10261/215329
http://hdl.handle.net/10261/215329
Autor:
Reima Eresmaa, Massimo Bonavita, Niels Bormann, Marco Matricardi, A. P. McNally, Rossana Dragani
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 142:1767-1780
Autor:
David A. Rundle, Peter Rayer, Emma Turner, Marco Matricardi, Alan J. Geer, Pascale Roquet, Niels Bormann, Jérôme Vidot, James Hocking, Roger Saunders, Pascal Brunel, Cristina Lupu
Publikováno v:
Geoscientific Model Development Discussions
Geoscientific Model Development Discussions, Copernicus Publ, 2018, 11 (7), pp.2717-2737. ⟨10.5194/gmd-11-2717-2018⟩
Geoscientific Model Development Discussions, 2018, 11 (7), pp.2717-2737. ⟨10.5194/gmd-11-2717-2018⟩
Geoscientific Model Development, Vol 11, Pp 2717-2737 (2018)
Geoscientific Model Development Discussions, Copernicus Publ, 2018, 11 (7), pp.2717-2737. ⟨10.5194/gmd-11-2717-2018⟩
Geoscientific Model Development Discussions, 2018, 11 (7), pp.2717-2737. ⟨10.5194/gmd-11-2717-2018⟩
Geoscientific Model Development, Vol 11, Pp 2717-2737 (2018)
This paper gives an update of the RTTOV (Radiative Transfer for TOVS) fast radiative transfer model, which is widely used in the satellite retrieval and data assimilation communities. RTTOV is a fast radiative transfer model for simulating top-of-atm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::732f8a9886e92145ed8201decbd14038
https://www.geosci-model-dev.net/11/2717/2018/
https://www.geosci-model-dev.net/11/2717/2018/