Simulation of the climate of the XX century in the Alpine space

Bucchignani, Edoardo; Sanna, Antonella; Gualdi, Silvio; Castellari, Sergio; Schiano, Pasquale

doi:10.1007/s11069-011-9883-8

Cited by 16 publications

(15 citation statements)

References 11 publications

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“…A configuration quite similar to the one adopted in the present work has been already validated in a work concerning the Italian climate [Bucchignani et al, 2013b], showing satisfactory results. With respect to the model configuration used by Bucchignani et al [2013a], the number of soil levels has been increased from 5 to 7, and the Runge-Kutta scheme (and its order) has been changed, as well as the description of the forests, and some parameters for the turbulent diffusion parameterization and for the cloud representation. Moreover, the frequency of convection scheme has been modified, and finally, the subgrid scale orography processes have been introduced.…”

Section: The Simulation Setupmentioning

confidence: 99%

“…A direct comparison with the results of Bucchignani et al [2013a] is not possible, because in that work, a different data set (CRU) was used for validation. However, it is worth noting that the strong cold bias present in winter in some areas in the mentioned paper has now been removed, while in summer, the already good results have been generally improved.…”

Section: 1002/2013jd021105mentioning

confidence: 99%

“…For all precipitation classes, no significant differences are observed between the two resolutions. Also, for precipitations, a direct comparison with the results of Bucchignani et al [2013a] is not possible due to the different data set used. However, it is important to highlight that differently from the present results, a dry bias was observed in both seasons in the mentioned study, particularly evident in summer.…”

Section: Precipitationsmentioning

confidence: 99%

“…The capabilities in simulating the climate extremes have also been evaluated, being these values largely used for impact studies and hard to predict because they are rare and obey different statistical laws. The second aim is to improve the quality of the results presented in similar works [Bucchignani et al, 2013a;Haslinger et al, 2013] not only by adopting a higher spatial resolution but also by using a more recent model version, an optimized model configuration (e.g., convection scheme and time step adopted) and more accurate observational data sets. The last aim is to investigate the effects of increasing spatial resolution on the quality of results.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Performance evaluation of high-resolution regional climate simulations in the Alpine space and analysis of extreme events

Montesarchio

Zollo

Bucchignani

et al. 2014

J. Geophys. Res. Atmos.

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This study aimed to assess the capabilities of high-resolution simulations in reproducing the main features of the climate in the complex topography region of the Alps for the period 1971-2000. This is to provide a reliable tool for impact studies on local scale. Two simulations, driven by ERA-40 Reanalysis, have been carried out, respectively, at spatial resolutions of 0.125°and 0.0715°with the regional climate model COSMO-CLM. The model response has been analyzed in terms of 2 m temperature and precipitation, and comparisons with available observations have been carried out. A number of climate indices have also been analyzed, widely adopted to monitor changes in extreme climate events. Finally, the effects of increasing spatial resolution have also been investigated. The model at high spatial resolution (0.0715°) provides a satisfactory representation of temperature. The simulated precipitation patterns are also improved due to the high model resolution that allows reproducing localized precipitation phenomena with a medium-high error, especially where summer thunderstorms over the complex topography of the Alpine region occurs.

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Section: The Simulation Setupmentioning

confidence: 99%

Section: 1002/2013jd021105mentioning

confidence: 99%

Section: Precipitationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance evaluation of high-resolution regional climate simulations in the Alpine space and analysis of extreme events

Montesarchio

Zollo

Bucchignani

et al. 2014

J. Geophys. Res. Atmos.

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show abstract

“…The winter overestimation over mountain areas is very likely due to an underestimation of the orographic effects: In presence of a mountainous terrain, the airflow experiences a forced lifting, causing an adiabatic cooling and condensation. This effect can be underestimated, if the resolution of the orography is not fine enough, so an overestimation of the precipitation on the lee side of the mountains may occur [25]. Since summer precipitation is mainly due to convection, the observed bias proves that the model resolution is not fine enough to capture phenomena such as localized convection.…”

Section: Precipitationmentioning

confidence: 99%

Numerical Simulation of the Period 1971–2100 over the Mediterranean Area with a Regional Model, Scenario SRES-A1B

2017

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Abstract:In this work, we discuss the results of numerical simulations performed with the regional model COSMO-CLM over the Mediterranean area at a spatial resolution of 14 km, employing an optimized model configuration. An assessment of model capabilities to reproduce the main features of the recent and past climate has been performed, using two different simulations: The first simulation is driven by the ERA40 Reanalysis and the second, by the CMCC-MED global model. Validation is performed through a comparison with the E-OBS dataset. Climate projections, according to the SRES A1B emission scenario, have been further analyzed in terms of change of 2-m temperature and precipitation, and have shown a significant warming expected at the end of the 21st Century, along with a general reduction in precipitation, particularly evident in spring and summer.

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Regional climate modeling over China with COSMO‐CLM: Performance assessment and climate projections

et al. 2014

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This study presents the results of high-resolution (0.125°) climate simulations over a Chinese area performed with an optimized configuration of the regional climate model COSMO-CLM, driven by ERA-Interim Reanalysis over the period 1979-2011 and by the output of the global model CMCC-CM (resolution 0.75°) over the period 1979-2100. The main aim of this work was to analyze the capabilities of COSMO-CLM to describe the climate of China in the recent past; validation revealed a good improvement in reproducing the precipitation and a reasonable improvement in 2 m temperature representation compared to results reported elsewhere. Climate projections, under the new IPCC RCP4.5 and RCP8.5 emission scenarios, show a significant warming expected in China over the 21st century, while precipitation changes are expected only on a regional scale: increases in precipitation are projected for both scenarios in the northern part of the domain, while the southern area will be affected by a reduction in winter.

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Simulation of the climate of the XX century in the Alpine space

Cited by 16 publications

References 11 publications

Performance evaluation of high-resolution regional climate simulations in the Alpine space and analysis of extreme events

Performance evaluation of high-resolution regional climate simulations in the Alpine space and analysis of extreme events

Numerical Simulation of the Period 1971–2100 over the Mediterranean Area with a Regional Model, Scenario SRES-A1B

Regional climate modeling over China with COSMO‐CLM: Performance assessment and climate projections

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