Zobrazeno 1 - 10 of 67 pro vyhledávání: '"Olivier Caumont"'
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Akademický článek
Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF – a performance test
Autor: Hans-Stefan Bauer, Thomas Schwitalla, Volker Wulfmeyer, Atoossa Bakhshaii, Uwe Ehret, Malte Neuper, Olivier Caumont
Publikováno v: Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 67, Iss 0, Pp 1-29 (2015)
Quantitative precipitation estimation and forecasting (QPE and QPF) are among the most challenging tasks in atmospheric sciences. In this work, QPE based on numerical modelling and data assimilation is investigated. Key components are the Weather Res
Externí odkaz: https://doaj.org/article/5c635d360ad74ba7bd93ffaa89830b22
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2
An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties
Autor: Alistair Bell, Pauline Martinet, Olivier Caumont, Frédéric Burnet, Julien Delanoë, Susana Jorquera, Yann Seity, Vinciane Unger
Publikováno v: Atmospheric Measurement Techniques
Atmospheric Measurement Techniques, 2022, 15 (18), pp.5415-5438. ⟨10.5194/amt-15-5415-2022⟩
Atmospheric Measurement Techniques Discussions
Atmospheric Measurement Techniques Discussions, Copernicus Publications / European Geosciences Union 2022, pp.(Discussions). ⟨10.5194/amt-2022-30⟩
The 1D-Var retrieval framework described hereused the NWPSAF 1D package. This can be downloaded fromthe NWPSAF website (https://nwp-saf.eumetsat.int/site/software/1d-var/download/, last access: 22 August 2022, Pavelin and Collard, 2009). The radiativ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0c6171364c22d819250616787ca1032
https://doi.org/10.5194/amt-15-5415-2022
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3
A satellite lightning observation operator for storm-scale numerical weather prediction
Autor: Pauline Combarnous, Felix Erdmann, Olivier Caumont, Éric Defer, Maud Martet
Publikováno v: Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences, 2022, 22 (9), pp.2943-2962. ⟨10.5194/nhess-22-2943-2022⟩
This study aims at simulating satellite-measured lightning observations with numerical weather prediction (NWP) system variables. A total of eight parameters, calculated with the AROME-France NWP system variables, were selected from a literature revi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d958be9a6733079a69b1bee224ef784
https://doi.org/10.5194/nhess-22-2943-2022
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4
Deep Learning for Hail Size Estimation Using Polarimetric Radar Data
Autor: Vincent Forcadell, Clotilde Augros, Kevin Dedieu, Olivier Caumont
In 2022, convective storms producing large hailstones were responsible of significant damages in Europe, particularly in France, where the insurance sector was severely hit. As a result, prices for 2023 might rise significantly compared to 2022, leav
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1686e2cebf050d8bda07ef23d8cbbc3
https://doi.org/10.5194/ecss2023-63
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5
Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) observations in AROME-France – Proof of Concept
Autor: Felix Erdmann, Olivier Caumont, Eric Defer
Publikováno v: eISSN
This study develops a Lightning Data Assimilation (LDA) scheme for the regional, convection-permitting NWP model AROME-France. The LDA scheme intends to assimilate total lightning, i.e., cloud-to-ground (CG) and inter- and intra-cloud (IC), of the fu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7e97cdb9e42f4c3ed54dab9650e091a
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-637/
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6
Added value of assimilating surface pressure observations from personal weather stations in AROME-France
Autor: Alan Demortier, Olivier Caumont, Vivien Pourret, Marc Mandement
The rise of connected objects, such as personal weather stations (PWSs), and the availability of their data, have opened up a new field of possibilities for real-time weather observation. For instance, the Netatmo PWS network measures temperature, re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1541cfe76d850bb6267de5fecc847cd7
https://doi.org/10.5194/ems2022-251
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7
Multiscale Forecasting of High-Impact Weather: Current Status and Future Challenges
Autor: Béatrice Vincendon, Brian Golding, Jianjie Wang, K. C. Gouda, Paul Joe, Juanzhen Sun, Nusrat Yussouf, Peter Steinle, Olivier Caumont, Jimy Dudhia, Sharanya J. Majumdar
Publikováno v: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Bulletin of the American Meteorological Society
Bulletin of the American Meteorological Society, 2021, 102 (3), pp.E635-E659. ⟨10.1175/BAMS-D-20-0111.1⟩
Improving the forecasting and communication of weather hazards such as urban floods and extreme winds has been recognized by the World Meteorological Organization (WMO) as a priority for international weather research. The WMO established the 10-yr H
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cf727ec20b6d90bf86266907a9548e7
https://doi.org/10.1175/bams-d-20-0111.1
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8
Optimal estimation of thermodynamic and microphysical profiles within fog events from ground-based microwave radiometer and cloud radar synergy
Autor: Pauline Martinet, Alistair Bell, Olivier Caumont, Benoit Vié, Frédéric Burnet, Julien Delanoë
The fog lifecyle and more especially formation and dissipation times are still poorly represented in even the highest resolution operational numerical weather prediction (NWP) models, causing large economic costs in the aviation industry. A new, cont
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7956aba26e0d145950de063be373d3b9
https://doi.org/10.5194/egusphere-egu22-12410
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9
An observation operator for geostationary lightning imager data assimilation in storm-scale numerical weather prediction systems
Autor: Pauline Combarnous, Felix Erdmann, Olivier Caumont, Eric Defer, Maud Martet
In spite of the continuous improvement of numerical weather prediction (NWP) systems, thunderstorms remain hard to predict with accuracy. This difficulty partly results from a lack of observations to describe the initial state of the atmosphere. Tota
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb032251451e55ed1e1473e884d6e4b6
https://doi.org/10.5194/egusphere-egu22-4254
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10
An observation operator for geostationary lightning imager data assimilation in the French storm-scale numerical weather prediction system AROME
Autor: Pauline Combarnous, Felix Erdmann, Olivier Caumont, Éric Defer, Maud Martet
The Lightning Imager (LI) onboard the Meteosat Third Generation (MTG) satellites will provide total lightning observations continuously over Europe with a spatial resolution of a few kilometers. The objective of this study is to prepare the assimilat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::420264613d1866d7b6caad3f997d4b33
https://doi.org/10.5194/nhess-2022-39
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