A high-resolution atmosphere–ocean coupled model for the western Maritime Continent: development and preliminary assessment

Thompson, Bijoy; Sánchez, Claudio; Sun, Xiaoying; Song, Guiting; Liu, Jianyu; Huang, Xiang‐Yu; Tkalich, Pavel

doi:10.1007/s00382-018-4367-0

Cited by 17 publications

(15 citation statements)

References 64 publications

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“…The SINGV downscaler is the basis for the SINGV data assimilation system (SINGV‐DA: Heng et al ., 2020) and the SINGV ensemble prediction system (SINGV‐EPS: Porson et al ., 2019). Furthermore, SINGV is also used for sub‐kilometre urban‐scale modelling (Simón‐Moral et al ., 2020), regional climate modelling (Timbal et al ., 2019) and coupled atmosphere–ocean modelling (Thompson et al ., 2019), at CCRS.…”

Section: Introductionmentioning

confidence: 99%

SINGV: A convective‐scale weather forecast model for Singapore

Dipankar¹,

Webster

Sun³

et al. 2020

Quart J Royal Meteoro Soc

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Numerical weather prediction (NWP) capabilities in the Maritime Continent are not as developed as in the midlatitudes. Countries in the region do not develop their own modelling systems; rather they adapt models primarily developed for the midlatitudes. Due to the complexity of processes involved in the region, this adaptation is non-trivial. In this article the developments made by the Meteorological Service Singapore (MSS) and the United Kingdom Met Office (UKMO) to implement a convective-scale NWP system for short-range weather prediction for Singapore and the surrounding regions are presented. In particular, this article describes the changes to the initial model configuration, which was based on the UKMO's convective-scale NWP system (the UKV), to produce operational forecasts over this region. Results presented here demonstrate the benefit of convection-permitting simulations over convection parametrized simulations and show that the model performance is greatly affected by the choice of driving model, the cloud scheme, and the turbulence scheme.

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Section: Introductionmentioning

confidence: 99%

SINGV: A convective‐scale weather forecast model for Singapore

Dipankar¹,

Webster

Sun³

et al. 2020

Quart J Royal Meteoro Soc

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“…While SINGV has been the key modelling system for convective-scale NWP activities at MSS we have also worked on using SINGV as an urban model to study the urban impact on weather and climate (Simón-Moral et al 2019) and on coupling SINGV with an ocean model to study the air-sea interaction and its impact on forecasts (Thompson et al 2019). Work also started to develop SINGV as a regional climate model to be used in the next Singapore national climate change projection in 2022 (Timbal et al 2019).…”

Section: Discussionmentioning

confidence: 99%

SINGV – the Convective-Scale Numerical Weather Prediction System for Singapore

Huang

Barker

Webster

et al. 2019

AJSTD

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Extreme rainfall is one of the primary meteorological hazards in Singapore, as well as elsewhere in the deep tropics, and it can lead to significant local flooding. Since 2013, the Meteorological Service Singapore (MSS) and the United Kingdom Met Office (UKMO) have been collaborating to develop a convective-scale Numerical Weather Prediction (NWP) system, called SINGV. Its primary aim is to provide improved weather forecasts for Singapore and the surrounding region, with a focus on improved short-range prediction of localized heavy rainfall. This paper provides an overview of the SINGV development, the latest NWP capabilities at MSS and some key results of evaluation. The paper describes science advances relevant to the development of any km-scale NWP suitable for the deep tropics and provides some insights into the impact of local data assimilation and utility of ensemble predictions.

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“…Additionally, it has been suggested that improvements to model representations of the precipitation distribution over the MC require spatial resolutions on the order of 10 km, which is much higher than that in most modern GCMs (Love et al, ). Recently, advances in regional MC environment and its variability have been achieved (Hassim et al, ; Thompson et al, ). High spatial resolution (~5–10 km) mesoscale models are able to resolve differences in diurnal evolution of convection over land and ocean.…”

Section: Introductionmentioning

confidence: 99%

Contemporary GCM Fidelity in Representing the Diurnal Cycle of Precipitation Over the Maritime Continent

et al. 2019

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This paper presents a multimodel assessment of fidelity in representation of the diurnal cycle of precipitation over the Maritime Continent (MC). Daily mean precipitation rate and amplitude and phase of the diurnal cycle are utilized to validate General Circulation Model (GCM) performance with respect to multiyear annual mean and seasonal cycle. The analysis shows that models' 6‐hourly temporal resolution and 2.5° spatial resolution is sufficient to depict key characteristic of diurnal precipitation. Results show that most models are sensitive to the existence of the MC and show different characteristics of subdaily precipitation. However, 19 out of 20 models underestimate the daily mean precipitation over the eastern Indian Ocean and most of them underestimate both daily mean precipitation and amplitude of the diurnal cycle, especially over islands within the region. Observations show that within the MC the diurnal cycle is higher over land than over ocean. Many models decrease this land‐sea contrast. Most models recognize difference in phase of the diurnal cycle between MC islands and surrounding ocean, but some of them show opposite phasing of the diurnal cycle. Results show that modern models perform better than past generation, sometimes comparably to regional models' run in much higher resolution. Although models perform well with respect to the seasonal cycle of the daily mean precipitation, they fail to realistically represent the seasonal evolution of the diurnal cycle amplitude. Additionally, models show no coherence in land‐ocean contrast derived from a multiyear average of daily mean precipitation and amplitude of the diurnal cycle.

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A high-resolution atmosphere–ocean coupled model for the western Maritime Continent: development and preliminary assessment

Cited by 17 publications

References 64 publications

SINGV: A convective‐scale weather forecast model for Singapore

SINGV: A convective‐scale weather forecast model for Singapore

SINGV – the Convective-Scale Numerical Weather Prediction System for Singapore

Contemporary GCM Fidelity in Representing the Diurnal Cycle of Precipitation Over the Maritime Continent

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