Model with Uncertainty

Kranz, Tobias

doi:10.1007/978-3-658-15639-8_4

Cited by 1 publication

(2 citation statements)

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“…The original SPPT scheme is also referred to as the Buizza-Miller-Palmer (BMP) scheme (Buizza et al, 1999). The BMP scheme was later replaced by a more efficient spectral pattern generator created by Palmer et al (2009). This SPPT scheme assumes that the method of averaging is not effective and that parameterization uncertainties are representable as multiplicative noise terms.…”

Section: The Stochastically Perturbed Parameterization Schemesmentioning

confidence: 99%

“…The European Centre for Medium-Range Weather Forecasts (ECMWF) has employed the stochastic parameterization scheme describing unresolved subgrid (Berner et al, 2009;Palmer et al, 2009;Leutbecher et al, 2017). This new ensemble approach is capable of sampling the instability of unsolved atmospheric processes, and this technique could be modified to monitor the model error representation capability.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Applying Individually Perturbed Parametrization Tendency Scheme on the Simulated El Niño-Southern Oscillation in the Community Earth System Model

Wu¹,

Zhang²,

Zhu

et al. 2021

Front. Earth Sci.

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The ensemble technique is considered to be an effective approach in enhancing the model capacity of intra-seasonal climate change. Since El Niño-Southern Oscillation is one of the critical modes of interannual variability in the tropical Pacific, an appropriate ensemble technique may help minimize model bias in ENSO forecast. This research includes a modified stochastically perturbed parameterization tendencies scheme in the Community Earth System Model to investigate its impact on ENSO prediction. This revised scheme uses independent noise patterns to perturb the tendencies from different physical parameterizations. In the original scheme, only the same noise is employed. The result suggests that the altered approach is in a position to further reduce sea surface temperatures and gain more skill in uncertainty estimation compared to the original one. ENSO’s amplitude is improved especially of its warm phase El Niño, but there is a limited improvement in its spatial structure. The modified scheme also ameliorated the variability of ENSO by increasing the magnitude toward observation. The power spectrum exhibits an increased representation. Besides those findings, we notice that simple ensemble mean may not be able to represent the climate status as it smoothes out some useful signals.

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Section: The Stochastically Perturbed Parameterization Schemesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%