Zobrazeno 1 - 10
of 248
pro vyhledávání: '"L, Descamps"'
Publikováno v:
Atmospheric Chemistry and Physics, Vol 22, Pp 15793-15816 (2022)
Numerical atmospheric dispersion models (ADMs) are used for predicting the health and environmental consequences of nuclear accidents in order to anticipate countermeasures necessary to protect the populations. However, these simulations suffer from
Externí odkaz:
https://doaj.org/article/849d1efcee7a4a1d894ad0ae22576de9
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 1369-1389 (2020)
The western Mediterranean region is prone to devastating flash floods induced by heavy-precipitation events (HPEs), which are responsible for considerable human and material losses. Quantitative precipitation forecasts have improved dramatically in r
Externí odkaz:
https://doaj.org/article/5b99b2ab16f044498e1a7e95a5a129c8
Publikováno v:
HemaSphere, Vol 6, Pp 1782-1783 (2022)
Externí odkaz:
https://doaj.org/article/394249c0c7d448459eb1146b593395a0
Akademický článek
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Publikováno v:
Nonlinear Processes in Geophysics, Vol 15, Iss 4, Pp 503-521 (2008)
A hybrid scheme obtained by combining 3DVar with the Assimilation in the Unstable Subspace (3DVar-AUS) is tested in a QG model, under perfect model conditions, with a fixed observational network, with and without observational noise. The AUS scheme,
Externí odkaz:
https://doaj.org/article/9aac61025bfb4dfba669edcf19b6899e
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 142:880-888
A 32-year global ensemble reforecast dataset has recently been developed at Meteo-France that is approximatively consistent with the operational global ensemble forecast system (called PEARP). Unlike at ECMWF or NCEP, Meteo-France does not possess a
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 141:1671-1685
Meteo-France has implemented a short-range ensemble prediction system known as Prevision d'Ensemble ARPEGE (PEARP). This system is a global ensemble performing forecasts up to 4.5 days. It uses the operational global numerical weather prediction mode
Akademický článek
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Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 141:449-458
This study investigates the impact of a calibration technique using estimated global model error variances on the performance of short-range ensemble forecasts. The calibration technique is rather simple as it consists of adding a random white noise
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 140:846-854
A methodology for estimating model error statistics is proposed. Its application to the global operational model ARPEGE of Meteo-France provides valuable insights into the spatio-temporal dynamics of model error variances. In particular larger model