The impact of boundary forcing on RegCM4.2 surface energy budget

Güttler, Ivan; Branković, Čedo; Srnec, Lidija; Patarčić, Mirta

doi:10.1007/s10584-013-0995-x

Cited by 7 publications

(5 citation statements)

References 33 publications

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“…In line with the study of Güttler et al (2014), RegCM4 exhibits a significant underestimation of ALB over CE, EE and NA (see Table 3) compared to climatological data from CERES (see Sect. 2.3).…”

Section: Other Parameterssupporting

confidence: 85%

“…Overall, CFC, COT and AOD are the major determinants of the SSR differences between RegCM4 and CM SAF, causing an absolute deviation on an annual basis of 8.4, 3.8 and 4.5 %, respectively. These results highlight the importance of other parameters apart from CFC, which has been examined in previous model evaluation studies (e.g., Jaeger et al, 2008;Markovic et al, 2008;Kothe and Ahrens, 2010;Kothe et al, 2011Kothe et al, , 2014Güttler et al, 2014).…”

Section: Discussionsupporting

confidence: 55%

“…The ability of regional climate models to assess surface solar radiation (SSR) patterns has not received much attention despite the fact that SSR plays a core role in various climatic processes and parameters such as (1) evapotranspiration (e.g., Teuling et al, 2009), (2) hydrological cycle (e.g., Allen and Ingram, 2002;Ramanathan et al, 2001;Wang et al, 2010;Wild and Liepert, 2010), (3) photosynthesis (e.g., Gu et al, 2002;Mercado et al, 2009), (4) oceanic heat budget (e.g., Lewis et al, 1990;Webster et al, 1996;Bodas-Salcedo et al, 2014), and (5) global energy balance (e.g., Kim and Ramanathan, 2008;Stephens et al, 2012;Trenberth et al, 2009;Wild et al, 2013) and solar energy production (Hammer et al, 2003) and largely affects temperature and precipitation. The same holds for the parameters that drive SSR levels, such as cloud macrophysical and microphysical properties (cloud fractional cover, CFC; cloud optical thickness, COT; and cloud effective radius, Re), aerosol optical properties (aerosol optical depth, AOD; asymmetry factor, ASY; and single-scattering albedo, SSA), surface broadband albedo (ALB) and atmospheric water vapor amount (WV).…”

Section: Introductionmentioning

confidence: 99%

“…The same holds for the parameters that drive SSR levels, such as cloud macrophysical and microphysical properties (cloud fractional cover, CFC; cloud optical thickness, COT; and cloud effective radius, Re), aerosol optical properties (aerosol optical depth, AOD; asymmetry factor, ASY; and single-scattering albedo, SSA), surface broadband albedo (ALB) and atmospheric water vapor amount (WV). However, in the last few years, there have been a few regional climate model studies focusing on the SSR levels or the net surface shortwave radiation, either to examine the dimming/brightening effect (e.g., Zubler et al, 2011;Chiacchio et al, 2015) or to evaluate the models (e.g., Jaeger et al, 2008;Markovic et al, 2008;Kothe and Ahrens, 2010;Kothe et al, 2011Kothe et al, , 2014Güttler et al, 2014). These studies highlight the dominating effect of cloud cover and surface albedo.…”

Section: Introductionmentioning

confidence: 99%

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On the ability of RegCM4 regional climate model to simulate surface solar radiation patterns over Europe: an assessment using satellite-based observations

et al. 2015

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Abstract. In this work, we assess the ability of RegCM4 regional climate model to simulate surface solar radiation (SSR) patterns over Europe. A decadal RegCM4 run (2000–2009) was implemented and evaluated against satellite-based observations from the Satellite Application Facility on Climate Monitoring (CM SAF), showing that the model simulates adequately the SSR patterns over the region. The SSR bias between RegCM4 and CM SAF is +1.5 % for MFG (Meteosat First Generation) and +3.3 % for MSG (Meteosat Second Generation) observations. The relative contribution of parameters that determine the transmission of solar radiation within the atmosphere to the deviation appearing between RegCM4 and CM SAF SSR is also examined. Cloud macrophysical and microphysical properties such as cloud fractional cover (CFC), cloud optical thickness (COT) and cloud effective radius (Re) from RegCM4 are evaluated against data from CM SAF. Generally, RegCM4 underestimates CFC by 24.3 % and Re for liquid/ice clouds by 36.1 %/28.3 % and overestimates COT by 4.3 %. The same procedure is repeated for aerosol optical properties such as aerosol optical depth (AOD), asymmetry factor (ASY) and single-scattering albedo (SSA), as well as other parameters, including surface broadband albedo (ALB) and water vapor amount (WV), using data from MACv1 aerosol climatology, from CERES satellite sensors and from ERA-Interim reanalysis. It is shown here that the good agreement between RegCM4 and satellite-based SSR observations can be partially attributed to counteracting effects among the above mentioned parameters. The potential contribution of each parameter to the RegCM4–CM SAF SSR deviations is estimated with the combined use of the aforementioned data and a radiative transfer model (SBDART). CFC, COT and AOD are the major determinants of these deviations on a monthly basis; however, the other parameters also play an important role for specific regions and seasons. Overall, for the European domain, CFC, COT and AOD are the most important factors, since their underestimations and overestimations by RegCM4 cause an annual RegCM4–CM SAF SSR absolute deviation of 8.4, 3.8 and 4.5 %, respectively.

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Section: Other Parameterssupporting

confidence: 85%

Section: Discussionsupporting

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the ability of RegCM4 regional climate model to simulate surface solar radiation patterns over Europe: an assessment using satellite-based observations

et al. 2015

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“…The issue then includes a series of papers focusing on the individual domains. Guttler et al (2014) first assess the energy budget of the model over the Mediterranean domain; Mariotti et al (2014) focus on the changes in intraseasonal and seasonal characteristics of monsoon climates over the Africa domain; Diro et al (2014) report an analysis of changes in different characteristics of tropical cyclones over the Central Amrica domain (this being the first time that such an analysis is carried out for the RegCM4 system); the papers by da and Llopart et al (2014) examine the model simulations over the South America domain in terms of climate response to el Nino conditions and land-atmosphere interactions.…”

Section: Papers Appearing In the Special Issuementioning

confidence: 99%

Introduction to the special issue: the phase I CORDEX RegCM4 hyper-matrix (CREMA) experiment

Giorgi

2014

Climatic Change

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This special issue of Climatic Change gathers a series of papers detailing the first analysis of the Phase I CORDEX RegCM4 hyper-Matrix (or CREMA) experiment. CORDEX (COordinated Regional Downscaling Experiment) is a newly implemented modeling framework under the auspices of the World Climate Research Program (WCRP) whose goals are to: i) assess and improve different regional climate downscaling techniques; ii) produce a new generation of 21st century regional climate projections over regions worldwide; iii) foster the interactions between the climate science and end-user communities and in particular the involvement of scientists from developing countries (Giorgi et al. 2009; Jones et al. 2011). It is envisioned to achieve these objectives through the completion and analysis of large multi-model, multimethod simulations with different downscaling techniques (dynamical and empirical) using a common and intercomparable experiment framework. regional climate models (RCMs) are thus key components of the CORDEX initiative. During the last decades a number of RCMs systems have been developed (e.g. Giorgi 2006; Rummukainen 2010). One of these is the RegCM system developed and maintained at the Abdus Salam International Centre for Theoretical Physics (ICTP). This model has evolved through successive versions (Dickinson et al. 1989; Giorgi et al. 1993a, b; Giorgi and Mearns 1999; Pal et al. 2007) up to the most recent RegCM4 (Giorgi et al. 2012). Over the last 25 years the RegCM has been applied to a wide range of studies by a large user community coordinated through the Regional Climate research NETwork, or RegCNET (Giorgi et al. 2006). The Phase I CREMA experiment represents the first contribution of the RegCNET modeling community to the CORDEX effort. The Phase I CREMA experiment consists of a series of 34 scenario simulations completed with the RegCM4 over 5 CORDEX domains (see Table 1): Africa, Mediterranean, Central America, South America and South Asia. Each domain follows the CORDEX specifications (see Giorgi et al. 2009), with a horizontal grid spacing of 50 km, and all simulations cover the period 1970-2100. In the CREMA experiment we attempted to cover, albeit in a limited way,

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Sensitivity of the regional climate model RegCM4.2 to planetary boundary layer parameterisation

et al. 2013

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The impact of boundary forcing on RegCM4.2 surface energy budget

Cited by 7 publications

References 33 publications

On the ability of RegCM4 regional climate model to simulate surface solar radiation patterns over Europe: an assessment using satellite-based observations

On the ability of RegCM4 regional climate model to simulate surface solar radiation patterns over Europe: an assessment using satellite-based observations

Introduction to the special issue: the phase I CORDEX RegCM4 hyper-matrix (CREMA) experiment

Sensitivity of the regional climate model RegCM4.2 to planetary boundary layer parameterisation

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