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- W2012096518 abstract "Abstract A regional ensemble prediction system (REPS) with the limited-area version of the Canadian Global Environmental Multiscale (GEM) model at 15-km horizontal resolution is developed and tested. The total energy norm singular vectors (SVs) targeted over northeastern North America are used for initial and boundary perturbations. Two SV perturbation strategies are tested: dry SVs with dry simplified physics and moist SVs with simplified physics, including stratiform condensation and convective precipitation as well as dry processes. Model physics uncertainties are partly accounted for by stochastically perturbing two parameters: the threshold vertical velocity in the trigger function of the Kain–Fritsch deep convection scheme, and the threshold humidity in the Sundqvist explicit scheme. The perturbations are obtained from first-order Markov processes. Short-range ensemble forecasts in summer with 16 members are performed for five different experiments. The experiments employ different perturbation and piloting strategies, and two different surface schemes. Verification focuses on quantitative precipitation forecasts and is done using a range of probabilistic measures. Results indicate that using moist SVs instead of dry SVs has a stronger impact on precipitation than on dynamical fields. Forecast skill for precipitation is greatly influenced by the dominant synoptic weather systems. For stratiform precipitation caused by strong baroclinic systems, the forecast skill is improved in the moist SV experiments relative to the dry SV experiments. For convective precipitation rates in the range 15–50 mm (24 h)−1 produced by weak synoptic baroclinic systems, all experiments exhibit noticeably poorer forecast skills. Skill improvements due to the Interactions between Soil, Biosphere, and Atmosphere (ISBA) surface scheme and stochastic perturbations are also observed." @default.
- W2012096518 created "2016-06-24" @default.
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- W2012096518 date "2008-02-01" @default.
- W2012096518 modified "2023-10-14" @default.
- W2012096518 title "A Regional Ensemble Prediction System Based on Moist Targeted Singular Vectors and Stochastic Parameter Perturbations" @default.
- W2012096518 cites W1965818033 @default.
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- W2012096518 cites W1979422307 @default.
- W2012096518 cites W1984350169 @default.
- W2012096518 cites W1987044403 @default.
- W2012096518 cites W1987536493 @default.
- W2012096518 cites W1989096418 @default.
- W2012096518 cites W2000530301 @default.
- W2012096518 cites W2010104690 @default.
- W2012096518 cites W2017859586 @default.
- W2012096518 cites W2023005676 @default.
- W2012096518 cites W2023483283 @default.
- W2012096518 cites W2030983955 @default.
- W2012096518 cites W2032435355 @default.
- W2012096518 cites W2032521431 @default.
- W2012096518 cites W2033009410 @default.
- W2012096518 cites W2034956278 @default.
- W2012096518 cites W2038810091 @default.
- W2012096518 cites W2042058640 @default.
- W2012096518 cites W2042507029 @default.
- W2012096518 cites W2047634553 @default.
- W2012096518 cites W2048972150 @default.
- W2012096518 cites W2052786465 @default.
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- W2012096518 cites W2065541775 @default.
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- W2012096518 cites W2069313066 @default.
- W2012096518 cites W2069824076 @default.
- W2012096518 cites W2073113195 @default.
- W2012096518 cites W2073241381 @default.
- W2012096518 cites W2077718253 @default.
- W2012096518 cites W2090433598 @default.
- W2012096518 cites W2093756001 @default.
- W2012096518 cites W2096533374 @default.
- W2012096518 cites W2097804995 @default.
- W2012096518 cites W2099425512 @default.
- W2012096518 cites W2105307466 @default.
- W2012096518 cites W2105748500 @default.
- W2012096518 cites W2109005173 @default.
- W2012096518 cites W2111017104 @default.
- W2012096518 cites W2118752450 @default.
- W2012096518 cites W2129320947 @default.
- W2012096518 cites W2132409542 @default.
- W2012096518 cites W2142794782 @default.
- W2012096518 cites W2144668858 @default.
- W2012096518 cites W2147924375 @default.
- W2012096518 cites W2154838439 @default.
- W2012096518 cites W2158457987 @default.
- W2012096518 cites W2160288696 @default.
- W2012096518 cites W2166372516 @default.
- W2012096518 cites W2166397721 @default.
- W2012096518 cites W2170766202 @default.
- W2012096518 cites W2174126236 @default.
- W2012096518 cites W2174226965 @default.
- W2012096518 cites W2174766545 @default.
- W2012096518 cites W2176150232 @default.
- W2012096518 cites W2176231028 @default.
- W2012096518 cites W2176355220 @default.
- W2012096518 cites W2176871001 @default.
- W2012096518 cites W2176887294 @default.
- W2012096518 cites W2177513005 @default.
- W2012096518 cites W2178057317 @default.
- W2012096518 cites W2178336316 @default.
- W2012096518 cites W2178985716 @default.
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- W2012096518 cites W4252684946 @default.
- W2012096518 cites W4253768378 @default.
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- W2012096518 doi "https://doi.org/10.1175/2007mwr2109.1" @default.
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