Journal article
Ensemble superparameterization versus stochastic parameterization: A comparison of model uncertainty representation in tropical weather prediction
- Abstract:
- Stochastic schemes to represent model uncertainty in the European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble prediction system has helped improve its probabilistic forecast skill over the past decade by both improving its reliability and reducing the ensemble mean error. The largest uncertainties in the model arise from the model physics parameterizations. In the tropics, the parameterization of moist convection presents a major challenge for the accurate prediction of weather and climate. Superparameterization is a promising alternative strategy for including the effects of moist convection through explicit turbulent fluxes calculated from a cloud-resolving model (CRM) embedded within a global climate model (GCM). In this paper, we compare the impact of initial random perturbations in embedded CRMs, within the ECMWF ensemble prediction system, with stochastically perturbed physical tendency (SPPT) scheme as a way to represent model uncertainty in medium-range tropical weather forecasts. We especially focus on forecasts of tropical convection and dynamics during MJO events in October–November 2011. These are well-studied events for MJO dynamics as they were also heavily observed during the DYNAMO field campaign. We show that a multiscale ensemble modeling approach helps improve forecasts of certain aspects of tropical convection during the MJO events, while it also tends to deteriorate certain large-scale dynamic fields with respect to stochastically perturbed physical tendencies approach that is used operationally at ECMWF.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 6.8MB, Terms of use)
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- Publisher copy:
- 10.1002/2016ms000857
Authors
- Publisher:
- American Geophysical Union
- Journal:
- Journal of Advances in Modeling Earth Systems More from this journal
- Volume:
- 9
- Issue:
- 2
- Pages:
- 1231-1250
- Publication date:
- 2017-04-20
- Acceptance date:
- 2017-04-11
- DOI:
- EISSN:
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1942-2466
- Language:
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English
- Keywords:
- Pubs id:
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pubs:720249
- UUID:
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uuid:b0f8e0c6-c641-4c6e-9d29-fce02451f7b0
- Local pid:
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pubs:720249
- Source identifiers:
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720249
- Deposit date:
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2019-02-13
Terms of use
- Copyright holder:
- Subramanian et Palmer
- Copyright date:
- 2017
- Notes:
-
© 2017. The Authors.
This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
- Licence:
- CC Attribution (CC BY)
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