A regional ocean–atmosphere coupled model developed for CORDEX East Asia: assessment of Asian summer monsoon simulation

Zou, Liwei; Zhou, Tianjun

doi:10.1007/s00382-016-3032-8

Cited by 30 publications

(18 citation statements)

References 60 publications

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“…The first year (1980) of the simulation is regarded as the spin‐up time, and the results are excluded in following analysis. The DD has been applied in a number of studies on the East Asia‐western North Pacific climate and exhibits a reasonable performance in simulating the climatology and interannual variability of the East Asia‐western North Pacific summer monsoon circulation and precipitation (Zou et al, ; Zou & Zhou, , ; Zou & Zhou, , ; Zou & Zhou, ).…”

Section: Methodsmentioning

confidence: 99%

Extreme Climate Event Changes in China in the 1.5 and 2 °C Warmer Climates: Results From Statistical and Dynamical Downscaling

Zou

Zhou

2018

JGR Atmospheres

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This study compared statistical downscaling model (SD) and dynamical downscaling model (DD) for changes in extreme temperature and precipitation indices, driven by the same global climate model output, in the 1.5 and 2 °C warmer climates in China. Simple bias correction (BC) methods were used to correct the climatology of temperature and precipitation in both models. After BC, both models show comparable performance in reproducing the spatial distributions of the extreme temperature and precipitation indices. Corrected model data were used to analyze future changes. Changing patterns of the extreme temperature indices are similar in the two models. Compared with the 2 °C warmer climate, warming 0.5 °C less can help reduce about 6% of summer day (SU) and 11% of tropical night (TR) increases (relative to 1986–2005) in China. Specifically, the reduced values of TR in northwest and northeast China are larger than 30% and 70%, respectively, in both models. Extreme wet indices will increase in most parts of China in the warmer climates. In DD, 5‐day maximum precipitation (RX5day) will increase by approximately 10% and 14% in the 1.5 and 2 °C warmer climates, respectively, with maximal values (17% and 28%, respectively) occurring in north China. In SD, differences in extreme wet indices between the two warmer climates are small, and RX5day will increase more than 20% in northeast China. In DD, specific humidity will increase, and the East Asian summer monsoon will be enhanced in the warmer climates, favoring a larger increase in wet extremes in north China compared to other parts of east China.

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Section: Methodsmentioning

confidence: 99%

Extreme Climate Event Changes in China in the 1.5 and 2 °C Warmer Climates: Results From Statistical and Dynamical Downscaling

Zou

Zhou

2018

JGR Atmospheres

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“…Coupled three‐dimensional RCM/ocean models have received increasing attention in more recent years. Coupled models have been developed for the Mediterranean (e.g., Ruti et al, ), Baltic Sea (e.g., Doscher et al, ; Jacob et al, ; Kjellstrom et al, ; Schrum et al, ), Indian Ocean (e.g., Di Sante et al, ; Ratnam et al, ; Samala et al, ), Arctic (e.g., Doscher et al, ; Roberts et al, ), Antarctic (e.g., Bailey & Lynch, ), Caspian Sea (e.g., Turuncoglu, Giuliani, et al, ), Maritime Continent (e.g., Wei et al, ), and China Sea (e.g., Zou & Zhou, ). A strong impetus in this RCM‐ocean coupling activity was given, specifically, by the MED‐CORDEX initiative (Ruti et al, ), which has resulted in the development of a large ensemble of coupled models for the Mediterranean basin.…”

Section: Main Achievements and Outstanding Issues In Rcm Researchmentioning

confidence: 99%

Thirty Years of Regional Climate Modeling: Where Are We and Where Are We Going next?

2019

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The year 2019 marks the thirtieth anniversary of the development of the first regional climate model (RCM), and here an overview is provided of the progress in regional modeling research and of the main challenges lying ahead. RCMs were primarily developed to provide fine‐scale climate information for impact studies, but they have evolved into general and multipurpose modeling tools. Among the main achievements in RCM research the focus is on: the development of community RCMs applicable to a wide variety of studies and regional contexts; the increase of model simulation length up to centennial scales and spatial resolutions up to convection‐permitting scales (few kilometers), leading to a better understanding of regional to local climate change signals; the development of fully coupled Regional Earth System Models; the inception of intercomparison projects culminating in the international Coordinated Regional Climate Downscaling Experiment; the extensive use of RCM simulations for impact assessments; and the involvement of the scientific community from developing countries in climate modeling research. Among the outstanding issues in need of more attention are the Added Value of using this downscaling technique; various technical aspects concerning RCM simulations; and uncertainties in RCM‐based climate projections. Future directions in RCM research are discussed, with highlight on: transition to convection‐permitting modeling systems; further development of Regional Earth System Models including the human component; next phase of the Coordinated Regional Climate Downscaling Experiment project; and use of RCMs in the distillation of actionable information for contribution to climate service activities. A brief historical overview of regional climate modeling is also presented.

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“…While high-resolution RCMs are computationally less expensive and have the ability to resolve finer scale orographic precipitation, they require the specification of lateral boundary conditions, which inhibit self-consistent interactions between global and regional scales of motion (Fox-Rabinovitz et al 2006). Recently many evaluation studies using RCMs have been conducted through Coordinated Regional Climate Downscaling Experiment (CORDEX) program (Kim et al 2014(Kim et al , 2015Huang et al 2015;Zhou et al 2016;Zou et al 2016;Pattnayak et al 2017). Especially, there have been many interests and efforts regarding added value of RCMs (Di Luca et al 2015;Torma et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of precipitation extremes over the Asian domain: observation and modelling studies

et al. 2018

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In this study, a comparison in the precipitation extremes as exhibited by the seven reference datasets is made to ascertain whether the inferences based on these datasets agree or they differ. These seven datasets, roughly grouped in three categories i.e. rain-gauge based (APHRODITE, CPC-UNI), satellite-based (TRMM, GPCP1DD) and reanalysis based (ERA-Interim, MERRA, and JRA55), having a common data period 1998-2007 are considered. Focus is to examine precipitation extremes in the summer monsoon rainfall over South Asia, East Asia and Southeast Asia. Measures of extreme precipitation include the percentile thresholds, frequency of extreme precipitation events and other quantities. Results reveal that the differences in displaying extremes among the datasets are small over South Asia and East Asia but large differences among the datasets are displayed over the Southeast Asian region including the maritime continent. Furthermore, precipitation data appear to be more consistent over East Asia among the seven datasets. Decadal trends in extreme precipitation are consistent with known results over South and East Asia. No trends in extreme precipitation events are exhibited over Southeast Asia. Outputs of the Coupled Model Intercomparison Project Phase 5 (CMIP5) simulation data are categorized as high, medium and lowresolution models. The regions displaying maximum intensity of extreme precipitation appear to be dependent on model resolution. High-resolution models simulate maximum intensity of extreme precipitation over the Indian sub-continent, medium-resolution models over northeast India and South China and the low-resolution models over Bangladesh, Myanmar and Thailand. In summary, there are differences in displaying extreme precipitation statistics among the seven datasets considered here and among the 29 CMIP5 model data outputs.

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A regional ocean–atmosphere coupled model developed for CORDEX East Asia: assessment of Asian summer monsoon simulation

Abstract: resolution to develop high-resolution regional climate change projections over the CORDEX East Asia domain.

Cited by 30 publications

References 60 publications

Extreme Climate Event Changes in China in the 1.5 and 2 °C Warmer Climates: Results From Statistical and Dynamical Downscaling

Extreme Climate Event Changes in China in the 1.5 and 2 °C Warmer Climates: Results From Statistical and Dynamical Downscaling

Thirty Years of Regional Climate Modeling: Where Are We and Where Are We Going next?

Evaluation of precipitation extremes over the Asian domain: observation and modelling studies

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