A multi-physics ensemble of present-day climate regional simulations over the Iberian Peninsula

Jerez, Sónia; Montávez, Juan Pedro; Jiménez‐Guerrero, Pedro; Gómez-Navarro, Juan José; Lorente‐Plazas, Raquel; Zorita, Eduardo

doi:10.1007/s00382-012-1539-1

Cited by 75 publications

(73 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…MM5 consists of a climatic version developed at the University of Murcia (Gómez-Navarro et al 2011, Jerez et al 2012a of the Fifth-Generation Pennsylvania State University-NCAR Mesoscale Model (Dudhia 1993, Grell et al 1994. MM5 has been extensively used in a number of regional cli- Boo et al 2006, Nunez et al 2009, Gómez-Navarro et al 2010.…”

Section: Mm5mentioning

confidence: 99%

“…MM5 has been extensively used in a number of regional cli- Boo et al 2006, Nunez et al 2009, Gómez-Navarro et al 2010. The physical configuration has been chosen in order to minimize the computational cost, since none of the tested configurations provides the best performance for all kinds of synoptic events and regions (Fernández et al 2007, Jerez et al 2012a). The physical options used were Grell cumulus parameterization (Grell 1993), Simple Ice for microphysics (Dudhia 1989), rapid radiative transfer model (RRTM) radiation scheme (Mlawer et al 1997) and medium-range forecast scheme (MRF) for planetary boundary layer (Hong & Pan 1996).…”

Section: Mm5mentioning

confidence: 99%

See 1 more Smart Citation

Mean fields and interannual variability in RCM simulations over Spain: the ESCENA project

Jiménez‐Guerrero¹,

Montávez²,

Domínguez³

et al. 2013

Clim. Res.

View full text Add to dashboard Cite

The ESCENA (2008 to 2012) project is a Spanish initiative, which applies the dynamical downscaling technique to generate climate change scenarios based on an ensemble of Regional Climate Models (RCMs) consisting of PROMES, WRF, MM5 or REMO over Peninsular Spain and the Balearic and Canary Islands using a high resolution of 25 km. We describe the mean fields and interannual variability for temperature and precipitation in an ensemble of simulations forced by the high resolution ERA-Interim reanalysis (1990 to 2007) and compare them to the Spain02 observed data set. Maximum surface air temperature shows seasonal cold biases up to -2.5K in all models and it is clearly underestimated during the coldest seasons, but less so during summertime (JJA). Generally, there is a better agreement between observed and simulated minimum surface air temperature, which is slightly overestimated (up to + 2K) especially during wintertime (DJF). Regarding precipitation, all models except PROMES tend to show low dry biases during all seasons, especially for autumn on the Mediterranean coast of the Iberian Peninsula. With respect to the interannual variability, the PROMES simulations overestimate the standard deviation of maximum surface air temperature, while the remaining models tend to slightly underestimate it, and most models tend to underestimate the standard deviation of precipitation. The results highlight the ability of these RCMs to reproduce the mean fields and the interannual variability in a very complex terrain such as the Iberian Peninsula, showing a great diversity of climatic behavior. The evaluation of the ensemble results indicates a great improvement in the temporal correlation and the representation of the spatial patterns of temperature and precipitation for all seasons with respect to the individual models.

show abstract

Section: Mm5mentioning

confidence: 99%

Section: Mm5mentioning

confidence: 99%

Mean fields and interannual variability in RCM simulations over Spain: the ESCENA project

Jiménez‐Guerrero¹,

Montávez²,

Domínguez³

et al. 2013

Clim. Res.

View full text Add to dashboard Cite

show abstract

“…The RCM used for the present study is the climate version of the Fifth-Generation Pennsylvania-State UniversityNational Center for Atmospheric Research Mesoscale Model (Dudhia, 1993;Grell et al, 1994;Gómez-Navarro et al, 2011;Jerez et al, 2013). Two two-way nested domains are employed in the simulation with a spatial resolution of 135 and 45 km, respectively.…”

Section: Data and Simulations Detailsmentioning

confidence: 99%

“…This cost criterion is selected because none of the tested configurations provides an optimal performance for different kinds of synoptic events and regions (Jerez et al, 2013). The physical options implemented are as follows: Grell cumulus parametrization (Grell, 1993), Simple Ice for microphysics (Dudhia, 1989), RRTM radiation scheme (Mlawer et al, 1997) and MRF for boundary layer (Hong and Pan, 1996).…”

Section: Data and Simulations Detailsmentioning

confidence: 99%

A regional climate palaeosimulation for Europe in the period 1500–1990 – Part 1: Model validation

et al. 2013

View full text Add to dashboard Cite

Abstract. We present and analyse a high-resolution regional climate palaeosimulation encompassing the European region for the period 1500–1990. We use the regional model MM5 driven at the boundaries by the global model ECHO-G. Both models are forced by reconstructions of three external factors: greenhouse gas concentrations, total solar irradiance and volcanic activity. The simulation skill is assessed in a recent period by comparing the model results with the Climate Research Unit (CRU) database. The results show that although the regional model is tightly driven by the boundary conditions, it is able to improve the reliability of the simulations, narrowing the differences to the observations, especially in areas of complex topography. Additionally, the evolution of the spatial distributions of temperature and precipitation through the last five centuries is analysed, showing that the mean values of temperature reflects the influence of the external forcings. However, contrary to the results obtained under climate change scenario conditions, higher-order momenta of seasonal temperature and precipitation are hardly affected by changes in the external forcings.

show abstract

“…The MM5 setup used here is the same as in Gomez-Navarro et al (2011). Detailed descriptions of the climate modeling system used and its skill to realistically reproduce regional climatic features, such as temperature and precipitation annual cycles or the interaction between the large-scale circulation and the orography, which largely modulates the rainfall patterns having an important influence on air quality, can be found there and in Jerez et al (2013a). Although these two works focus only on the Iberian Peninsula, there is extensive literature demonstrating the ability of similar MM5 modeling systems for reproducing diverse meteorological features over Europe (e.g., Kotlarski et al, 2005;Renfrew et al, 2009;Pfeiffer and Zängl, 2010).…”

Section: Air-quality Modeling Systemmentioning

confidence: 99%

Impact of the North Atlantic Oscillation on European aerosol ground levels through local processes: a seasonal model-based assessment using fixed anthropogenic emissions

et al. 2013

View full text Add to dashboard Cite

Abstract. The North Atlantic Oscillation (NAO) controls a large amount of the European climate variability with asymmetric impacts in both time and space. Here we investigate how the NAO impact on the local atmospheric processes (disregarding the NAO impact on the large intercontinental transport mechanisms) influences the levels of various aerosol species using simulated data under constant emissions, which are fixed to the 2005 levels in order to avoid anthropogenic-induced signals. In particular, we analyze interannual variations at the seasonal timescale and focus on the ground-level. The results show that positive NAO phases favor increased aerosol concentrations in southern (northern) regions during winter (summer), while negative NAO phases enhance them in northern (southern) regions during winter (summer). The underlying processes are clearly related to the NAO impact on precipitation and wind, as they act to clean the atmosphere through removal and dispersion processes, and to the NAO impact on the radiation balance (i.e., cloudiness) as it affects the biogenic emitting activity and on the oxidative capacity of the atmosphere. Differences for all the species studied (natural inert, secondary inorganic and organic aerosols) are up to 5 µg m −3 , reaching 10 and 20 µg m −3 for PM 10 and PM 2.5 respectively, which represents variations of about 20-40 % in their mean levels between opposite NAO phases.

show abstract

A multi-physics ensemble of present-day climate regional simulations over the Iberian Peninsula

Cited by 75 publications

References 60 publications

Mean fields and interannual variability in RCM simulations over Spain: the ESCENA project

Mean fields and interannual variability in RCM simulations over Spain: the ESCENA project

A regional climate palaeosimulation for Europe in the period 1500–1990 – Part 1: Model validation

Impact of the North Atlantic Oscillation on European aerosol ground levels through local processes: a seasonal model-based assessment using fixed anthropogenic emissions

Contact Info

Product

Resources

About