Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Camille Birman"'
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 75, Iss 1, Pp 88–107-88–107 (2023)
The goal of this study is to examine the impact of assimilating satellite derived surface temperature over land (LST) in the surface scheme of AROME-France model. The LST is retrieved from SEVIRI radiances during the assimilation process in the atmos
Externí odkaz:
https://doaj.org/article/2a5bd057fa784d3283e8564c959f2e31
Autor:
Camille Birman, Jean-François Mahfouf, Mathias Milz, Jana Mendrok, Stefan A. Buehler, Manfred Brath
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 69, Iss 1 (2017)
This study examines the information content on hydrometeors that could be provided by a future HYperspectral Microwave Sensor (HYMS) with frequencies ranging from 6.9 to 874 GHz (millimeter and sub-millimeter regions). Through optimal estimation theo
Externí odkaz:
https://doaj.org/article/b98e4d605bd8477092da8f8aff42b4d4
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2371 (2019)
In Numerical Weather Prediction (NWP), an accurate description of surface temperature is needed to assimilate satellite observations. These observations produced by infrared and microwave sensors, help retrieving good quality land surface temperature
Externí odkaz:
https://doaj.org/article/8e1df953517a4be5944d372d8df3fa4d
Autor:
Matthieu Lafaysse, Yves Durand, Fatima Karbou, Gérald Giraud, Laurent Mérindol, Laura Hermozo, Camille Birman, Jean-François Mahfouf
Publikováno v:
Journal of Hydrometeorology. 18:1425-1451
A one-dimensional variational data assimilation (1DVar) method to retrieve profiles of precipitation in mountainous terrain is described. The method combines observations from the French Alpine region rain gauges and precipitation estimates from weat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73f3161eb5416e537c48e135614515df
https://doi.org/10.1175/jhm-d-16-0144.1
https://doi.org/10.1175/jhm-d-16-0144.1
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2371 (2019)
Remote Sensing
Volume 11
Issue 20
Pages: 2371
Remote Sensing, 2019, 11 (20), pp.2371. ⟨10.3390/rs11202371⟩
Remote Sensing, MDPI, 2019, 11 (20), pp.2371. ⟨10.3390/rs11202371⟩
Remote Sensing
Volume 11
Issue 20
Pages: 2371
Remote Sensing, 2019, 11 (20), pp.2371. ⟨10.3390/rs11202371⟩
Remote Sensing, MDPI, 2019, 11 (20), pp.2371. ⟨10.3390/rs11202371⟩
International audience; In Numerical Weather Prediction (NWP), an accurate description of surface temperature is needed to assimilate satellite observations. These observations produced by infrared and microwave sensors, help retrieving good quality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2799048aceeb9d3cd9478772550585f7
https://www.mdpi.com/2072-4292/11/20/2371
https://www.mdpi.com/2072-4292/11/20/2371
Publikováno v:
Journal of Applied Meteorology and Climatology. 54:880-895
Surface emissivities computed at 89 GHz from AMSU-A, AMSU-B, and SSMI/S instruments are used to detect rain events and to estimate a daily precipitation rate over land surfaces. This new retrieval algorithm, called the emissivity rainfall retrieval (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6cdc78e029af6c850cd04dc9405a68c
https://doi.org/10.1175/jamc-d-14-0192.1
https://doi.org/10.1175/jamc-d-14-0192.1
Autor:
Emiliano Orlandi, Filipe Aires, Catherine Prigent, Mathias Milz, Jean-François Mahfouf, Camille Birman
Publikováno v:
Quarterly Journal of the Royal Meteorological Society
Quarterly Journal of the Royal Meteorological Society, 2015, 141 (693), pp.3268-3284. ⟨10.1002/qj.2608⟩
Quarterly Journal of the Royal Meteorological Society, Wiley, 2015, 141 (693), pp.3268-3284. ⟨10.1002/qj.2608⟩
Quarterly Journal of the Royal Meteorological Society, 2015, 141 (693), pp.3268-3284. ⟨10.1002/qj.2608⟩
Quarterly Journal of the Royal Meteorological Society, Wiley, 2015, 141 (693), pp.3268-3284. ⟨10.1002/qj.2608⟩
This study examines the information content on atmospheric temperature and humidity profiles that could be provided by a future spaceborne microwave sensor with a few hundred radiances in the millimetre and submillimetre spectral domains (ranging fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::526d179e48249607bcca2e210ebe39b4
https://hal.science/hal-02400595
https://hal.science/hal-02400595
Autor:
Jean-François Mahfouf, Manfred Brath, Camille Birman, Mathias Milz, Jana Mendrok, Stefan A. Buehler
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 69, Iss 1 (2017)
Tellus Series A-Dynamic Meteorology and Oceanography
Tellus Series A-Dynamic Meteorology and Oceanography
This study examines the information content on hydrometeors that could be provided by a future HYperspectralMicrowave Sensor (HYMS) with frequencies ranging from 6.9 to 874 GHz (millimeter and sub-millimeter regions). Through optimal estimation theor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5fc8ac02db356b739b5a3810b3d45f4
https://doi.org/10.1080/16000870.2016.1271562
https://doi.org/10.1080/16000870.2016.1271562
Autor:
Sassi, Mohamed Zied
Publikováno v:
Météorologie. Université Paul Sabatier-Toulouse III, 2020. Français. ⟨NNT : 2020TOU30240⟩
Modeling surface-atmosphere radiative exchanges is crucial in numerical weather prediction. The surface temperature is a key parameter in this modelization. Above sea, the surface temperature varies on large space and time scales, unlike the continen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::de79e877d112661ff813de91138fbcc9
https://tel.archives-ouvertes.fr/tel-03228475/document
https://tel.archives-ouvertes.fr/tel-03228475/document