Impacts of boundary conditions on the precipitation simulation of RegCM4 in the CORDEX East Asia domain

Park, Ju-Hee; Oh, Seok‐Geun; Suh, Myoung‐Seok

doi:10.1002/jgrd.50159

Cited by 55 publications

(58 citation statements)

References 74 publications

(100 reference statements)

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“…A comparison of runs using the same convective scheme indicates that the boundary condition also affects the spatial distribution and magnitude of rainfall (e.g., Figs. 4c, g), similar to the finding of Park et al (2013) over Asia. During DJF, rainfall is high over the eastern coastline of the Philippines.…”

Section: B Rainfallsupporting

confidence: 86%

“…(c) skill score of the model experiments relative to APHRODITE using monthly mean temperature for each subregion, and over the Philippines. Park et al (2013) also showed a dry bias in their regional climate simulation over South Korea, but found better results when ERA-Interim was used compared with the NCEP/DOE Reanalysis 2. Using the same boundary condition, the Kain-Fritsch scheme generally has lower dry bias and high correlation and skill scores for rainfall, compared with the Grell scheme (Fig.…”

Section: B Rainfallmentioning

confidence: 98%

“…Fersch and Kunstmann 2014;Park et al 2013). Thus, sensitivity tests have been conducted using two global driving reanalyses: ECMWF ERA-Interim (Dee et al 2011), and NCEP/NCAR Reanalysis Project (NNRP1; Kalnay et al 1996;Kistler et al 2001).…”

Section: Description Of the Numerical Experimentsmentioning

confidence: 99%

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Assessing the Sensitivity of the Non-Hydrostatic Regional Climate Model to Boundary Conditions and Convective Schemes over the Philippines

Cruz

Sasaki

Narisma

2016

Journal of the Meteorological Society of Japan

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Regional climate models have been useful in climate studies and in downscaling climate projections from global climate models, especially for areas characterized by complex topography and coastline features, such as the Philippines. However, several factors may affect model skill, such as uncertainties related to the boundary conditions and model configuration. This study evaluates the performance of the non-hydrostatic regional climate model (NHRCM) over the Philippines. Present-day climate simulations at 50 km resolution are conducted using two sets of boundary conditions (ECMWF ERA-Interim and the NCEP/NCAR Reanalysis Project NNRP1), as well as two convective parameterization schemes in the model (Grell and Kain-Fritsch). Results show that the seasonal changes in the spatial distribution of temperature, rainfall, and winds over the Philippines are simulated reasonably well. NHRCM has an overall cold and dry bias over land, the degree of which depends on the boundary condition and the convective scheme used. After adjusting the simulated temperature because of the difference in topography, the temperature differs from that observed by −0.90°C to −0.42°C on average. The rainfall bias in NHRCM ranges from −62.13 % to −25.20 %. Regardless of the boundary condition, the Grell scheme results in the lowest temperature bias with high skill scores, while the Kain-Fritsch scheme gives the lowest rainfall bias with high correlation and skill scores. The boundary conditions also influence model skill, such that the model bias is lower for temperature when ERA-Interim is used, but lower for rainfall with NNRP1. NHRCM represents the seasonal cycles of temperature and rainfall for all regions, but tends to generate more occurrences of cold and dry months. Improvements in the model are still possible, but these results indicate the potential of the model to be used for providing essential information for describing historical and future changes in the Philippine climate.

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Section: B Rainfallsupporting

confidence: 86%

Section: B Rainfallmentioning

confidence: 98%

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Assessing the Sensitivity of the Non-Hydrostatic Regional Climate Model to Boundary Conditions and Convective Schemes over the Philippines

Cruz

Sasaki

Narisma

2016

Journal of the Meteorological Society of Japan

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“…전구기후모델은 지구규모의 연평균과 계절평균에 대해서는 비교적 신뢰성 있는 자료를 생산하지만, 공간 분해능이 수 백km에 이르며 물리과정을 단순화하여 계산하 기 때문에 지역규모에 대한 상세한 기후현상을 모 의하는 데 한계가 있다 (Giorgi and Mearns, 1991;Hong et al, 2011). 따라서 전구기후모델의 지역별 상세기후에 대한 낮은 모의 수준을 극복하기 위해 지역기후모델을 주로 이용한다 (Christensen et al, 1998;Gao et al, 2008;Hong et al, 2013;Leung et al, 2013;Park et al, 2013). (Noguer et al, 1998;Im et al, 2007;Adeniyi, 2014;Kim et al, 2014) Lee et al, 2014;Oh et al, 2014).…”

Section: 서론unclassified

Impact of Land Surface and Cumulus Parameterization Schemes on the Simulation Skills of RegCM4.0 over CORDEX-East Asia Phase 2 domain

Kim¹,

Suh²,

Oh³

2017

Journal of Climate Research

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: We investigated on the proper combination of physical parameterization schemes of RegCM4.0 for the simulation of regional climate over CORDEX-East Asia Phase 2 domain. Based on the Lee(2016)'s sensitivity experiments for the four combination using two land surface schemes and two cumulus parameterization schemes during 5 years (1979)(1980)(1981)(1982)(1983), we selected the two combinations (CE: CLM+Emanuel and BG: BATS+Grell). The ER A-Interim was used as lateral boundary data of RegCM4.0 for the two experiments during 25 years . Simulation skills of temperature were similar in the two combination of physical processes irrespective of seasons and locations. However, there were a substantial differences in the simulation skills of precipitation according to the combination of physical processes, which were better in CE than BG combination. In general, the CE combination better simulated the precipitation characteristics in July and August over South Korea than BG combination, in terms of frequency and amount of precipitation according to the intensity. The superior skills of CE in simulating precipitation over South Korea can be related to the better simulation of seasonal march of the East Asian summer monsoon including the location and intensity of the North Pacific high pressure system than BG. The results suggested that the CE combination can simulate the climate characteristics in the CORDEX East Asia Phase 2 region better than the BG combination.

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“…The CORDEX-EA is the East-Asian branch of the CORDEX experiment and provides ensemble regional climate simulations (https://cordexea.climate.go.kr/main/modelsPage.do). The CORDEX-EA has been evaluated for simulating the precipitation and temperature over East Asia (Huang et al, 2015;Jin et al, 2016;Lee and Hong, 2014;Oh et al, 2013;Park et al, 2013;Suh 30 et al, 2012;Zou et al, 2014).…”

mentioning

confidence: 99%

High-resolution ensemble projections and uncertainty assessment of regional climate change over China in CORDEX East Asia

Gu¹,

Yu²,

Yang³

et al. 2017

Preprint

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Abstract. An ensemble simulation of 5 regional climate models (RCMs) from the Coordinated Regional Downscaling Experiment in East Asia (CORDEX-East Asia) was evaluated and used for future regional climate change projection in China. Meanwhile, the contributions of model uncertainty and internal variability are identified. The RCMs simulated both the historical climate (1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008) likely to increase in most of the simulation region, except the Tibetan Plateau which decreases -7.8%. Compare with the similar seasonal temperature changes with the driving global climate model (GCM), the seasonal precipitation change shows significant inter-RCM difference and has larger magnitude and variability than driving GCM. The model uncertainty for future temperature projection is clearly dominant over the northeast, northwest China and Tibetan Plateau, reaching up to 70%, and it contribute about 40% of the total uncertainty over north and south China. For precipitation, the internal 20 variability is dominant over most regions except for the Tibetan Plateau which the model uncertainties reach up to 60%. In addition, the model uncertainty increases with prediction lead time over all subregions.

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Impacts of boundary conditions on the precipitation simulation of RegCM4 in the CORDEX East Asia domain

Cited by 55 publications

References 74 publications

Assessing the Sensitivity of the Non-Hydrostatic Regional Climate Model to Boundary Conditions and Convective Schemes over the Philippines

Assessing the Sensitivity of the Non-Hydrostatic Regional Climate Model to Boundary Conditions and Convective Schemes over the Philippines

Impact of Land Surface and Cumulus Parameterization Schemes on the Simulation Skills of RegCM4.0 over CORDEX-East Asia Phase 2 domain

High-resolution ensemble projections and uncertainty assessment of regional climate change over China in CORDEX East Asia

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