Evaluation of convection-resolving models using satellite data: The diurnal cycle of summer convection over the Alps

Diurnal moist convection is an important element of summer precipitation over Central Europe and the Alps. It is poorly represented in models using parameterized convection. In this study, we investigate the diurnal cycle of convection during 11 days in June 2007 using the COSMO model. The numerical...

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Main Authors: Michael Keller, Oliver Fuhrer, Juerg Schmidli, Martin Stengel, Reto Stöckli, Christoph Schär
Format: Article
Language:English
Published: Borntraeger 2016-05-01
Series:Meteorologische Zeitschrift
Subjects:
Online Access:http://dx.doi.org/10.1127/metz/2015/0715
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author Michael Keller
Oliver Fuhrer
Juerg Schmidli
Martin Stengel
Reto Stöckli
Christoph Schär
author_facet Michael Keller
Oliver Fuhrer
Juerg Schmidli
Martin Stengel
Reto Stöckli
Christoph Schär
author_sort Michael Keller
collection DOAJ
description Diurnal moist convection is an important element of summer precipitation over Central Europe and the Alps. It is poorly represented in models using parameterized convection. In this study, we investigate the diurnal cycle of convection during 11 days in June 2007 using the COSMO model. The numerical simulations are compared with satellite measurements of GERB and SEVIRI, AVHRR satellite-based cloud properties and ground-based precipitation and temperature measurements. The simulations use horizontal resolutions of 12 km (convection-parameterizing model, CPM) and 2 km (convection-resolving model, CRM) and either a one-moment microphysics scheme (1M) or a two-moment microphysics scheme (2M).They are conducted for a computational domain that covers an extended Alpine area from Northern Italy to Northern Germany. The CPM with 1M exhibits a significant overestimation of high cloud cover. This results in a compensation effect in the top of the atmosphere energy budget due to an underestimation of outgoing longwave radiation (OLR) and an overestimation of reflected solar radiation (RSR). The CRM reduces high cloud cover and improves the OLR bias from a domain mean of −20.1 to −2.6 W/m2. When using 2M with ice sedimentation in the CRM, high cloud cover is further reduced. The stronger diurnal cycle of high cloud cover and associated convection over the Alps, compared to less mountainous regions, is well represented by the CRM but underestimated by the CPM. Despite substantial differences in high cloud cover, the use of a 2M has no significant impact on the diurnal cycle of precipitation. Furthermore, a negative mid-level cloud bias is found for all simulations.
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spelling doaj.art-a1eec2d0ec45403092e70c30498961c72022-12-21T20:11:07ZengBorntraegerMeteorologische Zeitschrift0941-29482016-05-0125216517910.1127/metz/2015/071585363Evaluation of convection-resolving models using satellite data: The diurnal cycle of summer convection over the AlpsMichael KellerOliver FuhrerJuerg SchmidliMartin StengelReto StöckliChristoph SchärDiurnal moist convection is an important element of summer precipitation over Central Europe and the Alps. It is poorly represented in models using parameterized convection. In this study, we investigate the diurnal cycle of convection during 11 days in June 2007 using the COSMO model. The numerical simulations are compared with satellite measurements of GERB and SEVIRI, AVHRR satellite-based cloud properties and ground-based precipitation and temperature measurements. The simulations use horizontal resolutions of 12 km (convection-parameterizing model, CPM) and 2 km (convection-resolving model, CRM) and either a one-moment microphysics scheme (1M) or a two-moment microphysics scheme (2M).They are conducted for a computational domain that covers an extended Alpine area from Northern Italy to Northern Germany. The CPM with 1M exhibits a significant overestimation of high cloud cover. This results in a compensation effect in the top of the atmosphere energy budget due to an underestimation of outgoing longwave radiation (OLR) and an overestimation of reflected solar radiation (RSR). The CRM reduces high cloud cover and improves the OLR bias from a domain mean of −20.1 to −2.6 W/m2. When using 2M with ice sedimentation in the CRM, high cloud cover is further reduced. The stronger diurnal cycle of high cloud cover and associated convection over the Alps, compared to less mountainous regions, is well represented by the CRM but underestimated by the CPM. Despite substantial differences in high cloud cover, the use of a 2M has no significant impact on the diurnal cycle of precipitation. Furthermore, a negative mid-level cloud bias is found for all simulations.http://dx.doi.org/10.1127/metz/2015/0715convectiondiurnal cycleAlpsconvection-resolvingsatellite observationscloud validation
spellingShingle Michael Keller
Oliver Fuhrer
Juerg Schmidli
Martin Stengel
Reto Stöckli
Christoph Schär
Evaluation of convection-resolving models using satellite data: The diurnal cycle of summer convection over the Alps
Meteorologische Zeitschrift
convection
diurnal cycle
Alps
convection-resolving
satellite observations
cloud validation
title Evaluation of convection-resolving models using satellite data: The diurnal cycle of summer convection over the Alps
title_full Evaluation of convection-resolving models using satellite data: The diurnal cycle of summer convection over the Alps
title_fullStr Evaluation of convection-resolving models using satellite data: The diurnal cycle of summer convection over the Alps
title_full_unstemmed Evaluation of convection-resolving models using satellite data: The diurnal cycle of summer convection over the Alps
title_short Evaluation of convection-resolving models using satellite data: The diurnal cycle of summer convection over the Alps
title_sort evaluation of convection resolving models using satellite data the diurnal cycle of summer convection over the alps
topic convection
diurnal cycle
Alps
convection-resolving
satellite observations
cloud validation
url http://dx.doi.org/10.1127/metz/2015/0715
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