Sensitivity of Southeast Asia rainfall simulations to cumulus and air-sea flux parameterizations in RegCM4

Juneng, Liew; Tangang, Fredolin; Chung, Jing Xiang; Ngai, Sheau Tieh; Tay, Tze Wei; Narisma, Gemma; Cruz, Faye; Phan-Van, Tan; Ngo‐Duc, Thanh; Santisirisomboon, Jerasorn; Singhruck, Patama; Gunawan, Dodo; Aldrian, Edvin

doi:10.3354/cr01386

Cited by 69 publications

(123 citation statements)

References 79 publications

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“…3b). Compared with ERA-Interim, rainfall patterns can also be more correlated in NHRCM over the Maritime Continent, such as in Peninsular Malaysia (R13), but may also be less correlated in other regions, similar with Juneng et al (2016). However, APH-RODITE is noted to have lower precipitation values over high terrain (e.g., Vietnam, as noted in Kieu-Thi et al (2016)) and the equatorial area, which may be due to differences involved in data processing (Yatagai et al 2012;Juneng et al 2016).…”

Section: Rainfallmentioning

confidence: 96%

“…A regional analysis is also conducted over 20 subregions in the domain (see Fig. 1) defined by Juneng et al (2016), which was based on precipitation climatology in the literature. Figure 2 shows the ability of NHRCM to represent seasonal patterns in rainfall and winds over Southeast Asia, consistent with the findings of Cruz et al (2016) and Kieu-Thi et al (2016).…”

Section: and Hidetaka Sasakimentioning

confidence: 99%

“…While this area includes the western section of the Pacific Ocean, the analysis in this paper will focus on Southeast Asia. Boundary conditions have been obtained from the 0.75° resolution ECMWF ERA-Interim reanalysis (Dee et al 2011), following the framework for model evaluation of the CORDEX project, which allows some comparison with other RCMs (Giorgi et al 2009;Juneng et al 2016;Ngo-Duc et al 2016). The model is run for 20 years, starting from April 1988 to May 2009.…”

Section: Rainfallmentioning

confidence: 99%

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Simulation of Present Climate over Southeast Asia Using the Non-Hydrostatic Regional Climate Model

Cruz

Sasaki

2017

SOLA

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This study evaluates the performance of the Non-hydrostatic Regional Climate Model (NHRCM) in simulating the present climate over Southeast Asia to determine its applicability in downscaling climate projections in the region. Simulations from 1989 to 2008 are conducted over the region at 25-km resolution using boundary conditions from the ECMWF ERA-Interim dataset. The topographic effect on rainfall is well represented in NHRCM but can result in wet (dry) biases in the windward (leeward) side of mountains. NHRCM is able to reduce the overestimated rainfall in ERA-Interim, particularly over eastern Philippines and in the Maritime Continent, with improvements in spatial patterns. Both seasonality and daily distribution of rainfall are represented in most regions. On the other hand, there is a tendency to underestimate the number of wet days, especially during the respective wet season of the subregion, and to overestimate daily rainfall intensity. NHRCM also has an overall cold model bias, which reduces the warm bias in ERA-Interim, except for some parts of Indochina during boreal winter and spring. These results indicate the improved representation of present climate in Southeast Asia using NHRCM, and its potential applicability in downscaling climate projections to increase projected climate scenarios for the region.(Citation: Cruz, F. T., and H. Sasaki, 2017: Simulation of present climate over Southeast Asia using the Non-hydrostatic Regional Climate Model. SOLA, 13, 13−18,

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Section: Rainfallmentioning

confidence: 96%

Section: and Hidetaka Sasakimentioning

confidence: 99%

Section: Rainfallmentioning

confidence: 99%

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Simulation of Present Climate over Southeast Asia Using the Non-Hydrostatic Regional Climate Model

Cruz

Sasaki

2017

SOLA

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“…In recent years, many attempts have been made to understand regional climate variability over SE Asia using regional climate models (e.g. Aldrian et al 2004, Francisco et al 2006, Im et al 2008, Phan et al 2009, Takahashi et al 2009, 2010, Chotamonsak et al 2011, Raktham et al 2015, Raghavan et al 2016, Juneng et al 2016. To the authors' knowledge, there are no comprehensive studies available evaluating the performance of an RCM over SE Asia and its subregions for different seasons of the year.…”

Section: Introductionmentioning

confidence: 99%

Validation of the WRF regional climate model over the subregions of Southeast Asia: climatology and interannual variability

Ratna¹,

Ratnam²,

Behera³

et al. 2017

Clim. Res.

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This study investigates the capability of a regional climate model in simulating the climate variability over Southeast Asia (SE Asia). The present-day climate, covering the period 1991 to 2015, was dynamically downscaled using the Weather Research and Forecasting (WRF) model with a horizontal resolution of 27 km. The initial and boundary conditions for the WRF model is provided with the European Centre for medium-range weather forecasting (ECMWF) reanalysis (ERA-Interim) data. The model reproduced the mean precipitation climatology as well as the annual cycle. Nevertheless, the model overestimated the boreal summer precipitation over the SE Asian mainland, and underestimated the boreal winter precipitation over the Indonesian region. Model biases are associated with the bias in simulating the vertically integrated moisture fluxes. At an interannual scale, the model shows good performance over the SE Asian mainland and the Philippines in all seasons except for the boreal summer. The influence of El Niño/Southern Oscillation (ENSO) on rainfall over mainland SE Asia and the Philippines during JJA is weak, and the model successfully simulated the weak relationship realistically. In contrast, model interannual variability over the Indonesia region is good only in boreal summer and autumn seasons. This is because the model successfully simulated the significant negative correlation between rainfall and ENSO. The influence of the Indian Ocean Dipole (IOD) is seen only in the boreal autumn over the Indonesian region, and the model reproduced it reasonably well. The improvement in the representation of precipitation anomaly associated with ENSO/IOD is due to reasonably accurate simulation of large-scale circulation over SE Asia

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“…A regional downscaling activity is being conducted as part of the Southeast Asia Regional Climate Downscaling/Coordinated Regional Climate Downscaling Experiment-Southeast Asia (SEACLID/CORDEX-SEA) project 2 (Juneng et al 2016;Ngo-Duc et al 2017;Cruz et al 2017;Chung et al 2018). With participating members from 20 institutions and 14 countries, including the Manila Observatory in the Philippines, the project aims to generate high-resolution climate change scenarios for the Southeast Asia region at 25 km resolution based on multiple RCP scenarios, GCMs and RCMs.…”

Section: New Generation Of Climate Model Projections For the Philippinesmentioning

confidence: 99%

Providing future climate projections using multiple models and methods: insights from the Philippines

et al. 2018

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To meet the growing demand for climate change information to guide national and local adaptation decision-making in the Philippines, the climate science and services community is producing an increasing volume of future climate data using a range of modelling approaches. However, there is a significant methodological challenge in how to best compare and combine information produced using different models and methods. In this paper, we present the landscape of climate model data available in the Philippines and show how multimodel, multi-method climate projections are being used and communicated to inform climate Climatic Change (2018) change policy and planning, focusing on the agriculture sector. We highlight the importance of examining and communicating methodological strengths and weaknesses as well as understanding the needs and capabilities of different user communities. We discuss the assessment of projections from different methods, including global and regional downscaled simulations, and discuss ways to summarise and communicate this information to stakeholders using coproduction approaches. The paper concludes with perspectives on how to best use an Bensemble of opportunity^to construct defensible, plausible and usable climate projections.

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Sensitivity of Southeast Asia rainfall simulations to cumulus and air-sea flux parameterizations in RegCM4

Cited by 69 publications

References 79 publications

Simulation of Present Climate over Southeast Asia Using the Non-Hydrostatic Regional Climate Model

Simulation of Present Climate over Southeast Asia Using the Non-Hydrostatic Regional Climate Model

Validation of the WRF regional climate model over the subregions of Southeast Asia: climatology and interannual variability

Providing future climate projections using multiple models and methods: insights from the Philippines

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