Simulation of temperature and precipitation climatology for the Central Asia CORDEX domain using RegCM 4.0

Öztürk, Tuğba; Altinsoy, HA; Türkeş, Murat; Kurnaz, M. Levent

doi:10.3354/cr01082

Cited by 84 publications

(54 citation statements)

References 34 publications

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“…The model has been applied to 2 new regions by Alma zroui (2012; the Middle East) and Ozturk et al (2012;central Asia). In Almazroui et al (2012), model experiments are driven by both reanalysis of observations and a GCM, and RegCM4 nesting improves the results from this driving GCM.…”

Section: Contributions To This Climate Specialmentioning

confidence: 99%

INTRODUCTION The road towards RegCM4 F. Giorgi1,*, R. O. Anyah2

Giorgi¹,

Anyah²

2012

Clim. Res.

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The RegCM model system was originally developed in the late 1980s, and it was the first limited area model applied to climate studies. Over the last 25 yr, the system has been improved through successive model versions (RegCM1 to RegCM4), incorporating increasingly comprehensive physics packages and interactively coupled components of the climate system (chemistry/aerosol, ocean, lake, biosphere). The present Climate Special includes studies using RegCM3 and the latest version RegCM4. The papers illustrate that RegCM is a flexible and versatile system which can be used for different regions of the World and for a wide range of applications. Plans for the development of the next non-hydrostatic version RegCM5 are also described.

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Section: Contributions To This Climate Specialmentioning

confidence: 99%

INTRODUCTION The road towards RegCM4 F. Giorgi1,*, R. O. Anyah2

Giorgi¹,

Anyah²

2012

Clim. Res.

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“…For this study, we use a similar model set-up for dynamic downscaling over different regions of the globe that are defined within CORDEX. These CORDEX domains are widely used for regional studies across the globe (e.g., [24][25][26][27][28]). The driving simulations of MPI-ESM are performed within the framework of the Coupled Model Intercomparison Project Phase 5 (CMIP5) [29], using the Representative Concentration Pathways (RCPs), which prescribe future atmospheric greenhouse gas concentrations and aerosols [30].…”

Section: Introductionmentioning

confidence: 99%

How Does a Regional Climate Model Modify the Projected Climate Change Signal of the Driving GCM: A Study over Different CORDEX Regions Using REMO

et al. 2013

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Global and regional climate model simulations are frequently used for regional climate change assessments and in climate impact modeling studies. To reflect the inherent and methodological uncertainties in climate modeling, the assessment of regional climate change requires ensemble simulations from different global and regional climate model combinations. To interpret the spread of simulated results, it is useful to understand how the climate change signal is modified in the GCM-RCM modelmodelgeneral circulation model-regional climate model (GCM-RCM) chain. This kind of information can also be useful for impact modelers; for the process of experiment design and when interpreting model results. In this study, we investigate how the simulated historical and future climate of the Max-Planck-Institute earth system model (MPI-ESM) is modified by dynamic downscaling with the regional model REMO in different world regions. The historical specific analysis across multiple world regions and for multi-scenarios. We used a classification of climate types by Köppen-Trewartha to define evaluation regions with certain climate conditions. A systematic comparison of near-surface temperature and precipitation simulated by the regional and the global model is done. In general, the historical time period is well represented by the GCM and the RCM. Some different biases occur in the RCM compared to the GCM as in the Amazon Basin, northern Africa and the West Asian domain. Both models project similar warming, although somewhat less so by the RCM for certain regions and climate types. A common feature in regions of tropical climate types is that REMO shows dryer climate conditions than forMax Planck Institute for Meteorology-Earth System Model (MPI-ESM) for RCP 4.5 and RCP 8.5, leading to an opposing sign in the climate change signal. With an increase in radiative forcing from RCP 2.6 to RCP 8.5 and towards the end of the 21st century, some of the detected differences between GCM and RCM are more pronounced.

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“…Several studies utilizing RCMs demonstrate the merits of dynamical downscaling in Asia for hindcasts and future projections (Chotamonsak et al 2011;Kim et al 2008;Ozturk et al 2012;Qian et al 2003;Sato and Xue 2013;Schiemann et al 2008). However, it has to be kept in mind that inter-model variations can be substantial (Fu et al 2005;Leung et al 1999).…”

Section: And Clemens Simmermentioning

confidence: 99%

Dynamical downscaling with COSMO and COSMO-CLM in the Sino-Mongolian Altai region

Kurzrock¹,

Buerkert

Oyunmunkh

et al. 2016

Meteorol Atmos Phys

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For the first time, regional atmospheric simulations with spatial resolution down to 6 km have been performed in the Sino-Mongolian Altai region using the COSMO weather forecast and regional climate model. Two 5-year periods (1979-1982 and 2008-2012) have been simulated for a first evaluation of the model in this special region. The added value of a dynamical downscaling with the COSMO regional climate model CCLM towards the driving ERA-Interim reanalysis is investigated by comparison with weather station observations. In the mountainous region, the CCLM simulation much better relates to the observed monthly mean 2 m temperature and maximum monthly precipitation sums in summer than ERAInterim. In addition, the intensity distribution of sub-daily precipitation amounts becomes more realistic with increasing altitude. CCLM does, however, overestimate convection in the mountains and accordingly simulates too much precipitation. Moreover, wintertime near-surface temperature inversions are underrated in the southern nearGobi area, which leads to too high 2 m temperatures in that region. To examine the ability of the COSMO model to reproduce the vertical thermodynamic structure of the troposphere, additional simulations with the weather forecast version of COSMO were performed for July 2013 and compared to radiosonde measurements of the WATER-COPE field experiment in this region. The results indicate that the COSMO model is quite capable of qualitatively simulating a range of features of the local tropospheric stratification. Mean differences between observed and simulated dew point and temperature profiles were in the range of only to 1-2°C in the lower troposphere.

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Simulation of temperature and precipitation climatology for the Central Asia CORDEX domain using RegCM 4.0

Cited by 84 publications

References 34 publications

INTRODUCTION The road towards RegCM4 F. Giorgi1,*, R. O. Anyah2

INTRODUCTION The road towards RegCM4 F. Giorgi1,*, R. O. Anyah2

How Does a Regional Climate Model Modify the Projected Climate Change Signal of the Driving GCM: A Study over Different CORDEX Regions Using REMO

Dynamical downscaling with COSMO and COSMO-CLM in the Sino-Mongolian Altai region

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