000203404 001__ 203404
000203404 005__ 20210129220353.0
000203404 0247_ $$2doi$$a10.1002/2014RG000475
000203404 0247_ $$2ISSN$$a0034-6853
000203404 0247_ $$2ISSN$$a0096-1043
000203404 0247_ $$2ISSN$$a1944-9208
000203404 0247_ $$2ISSN$$a8755-1209
000203404 0247_ $$2Handle$$a2128/9054
000203404 0247_ $$2WOS$$aWOS:000358322200005
000203404 0247_ $$2altmetric$$aaltmetric:3948346
000203404 0247_ $$2pmid$$apmid:27478878
000203404 037__ $$aFZJ-2015-05347
000203404 041__ $$aEnglish
000203404 082__ $$a550
000203404 1001_ $$0P:(DE-HGF)0$$aPrein, Andreas F.$$b0$$eCorresponding author
000203404 245__ $$aA review on regional convection-permitting climate modeling: Demonstrations, prospects, and challenges
000203404 260__ $$aHoboken, NJ$$bWiley$$c2015
000203404 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1451980014_26987
000203404 3367_ $$2DataCite$$aOutput Types/Journal article
000203404 3367_ $$00$$2EndNote$$aJournal Article
000203404 3367_ $$2BibTeX$$aARTICLE
000203404 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000203404 3367_ $$2DRIVER$$aarticle
000203404 520__ $$aRegional climate modeling using convection-permitting models (CPMs; horizontal grid spacing <4 km) emerges as a promising framework to provide more reliable climate information on regional to local scales compared to traditionally used large-scale models (LSMs; horizontal grid spacing >10 km). CPMs no longer rely on convection parameterization schemes, which had been identified as a major source of errors and uncertainties in LSMs. Moreover, CPMs allow for a more accurate representation of surface and orography fields. The drawback of CPMs is the high demand on computational resources. For this reason, first CPM climate simulations only appeared a decade ago. In this study, we aim to provide a common basis for CPM climate simulations by giving a holistic review of the topic. The most important components in CPMs such as physical parameterizations and dynamical formulations are discussed critically. An overview of weaknesses and an outlook on required future developments is provided. Most importantly, this review presents the consolidated outcome of studies that addressed the added value of CPM climate simulations compared to LSMs. Improvements are evident mostly for climate statistics related to deep convection, mountainous regions, or extreme events. The climate change signals of CPM simulations suggest an increase in flash floods, changes in hail storm characteristics, and reductions in the snowpack over mountains. In conclusion, CPMs are a very promising tool for future climate research. However, coordinated modeling programs are crucially needed to advance parameterizations of unresolved physics and to assess the full potential of CPMs.
000203404 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000203404 536__ $$0G:(DE-HGF)POF3-511$$a511 - Computational Science and Mathematical Methods (POF3-511)$$cPOF3-511$$fPOF III$$x1
000203404 588__ $$aDataset connected to CrossRef
000203404 7001_ $$0P:(DE-HGF)0$$aLanghans, Wolfgang$$b1
000203404 7001_ $$0P:(DE-HGF)0$$aFosser, Giorgia$$b2
000203404 7001_ $$0P:(DE-HGF)0$$aFerrone, Andrew$$b3
000203404 7001_ $$0P:(DE-HGF)0$$aBan, Nikolina$$b4
000203404 7001_ $$0P:(DE-Juel1)156253$$aGörgen, Klaus$$b5$$ufzj
000203404 7001_ $$0P:(DE-HGF)0$$aKeller, Michael$$b6
000203404 7001_ $$0P:(DE-HGF)0$$aTölle, Merja$$b7
000203404 7001_ $$0P:(DE-HGF)0$$aGutjahr, Oliver$$b8
000203404 7001_ $$0P:(DE-HGF)0$$aFeser, Frauke$$b9
000203404 7001_ $$0P:(DE-HGF)0$$aBrisson, Erwan$$b10
000203404 7001_ $$0P:(DE-Juel1)151405$$aKollet, Stefan$$b11
000203404 7001_ $$0P:(DE-HGF)0$$aSchmidli, Juerg$$b12
000203404 7001_ $$0P:(DE-HGF)0$$avan Lipzig, Nicole P. M.$$b13
000203404 7001_ $$0P:(DE-HGF)0$$aLeung, Ruby$$b14
000203404 773__ $$0PERI:(DE-600)2035391-1$$a10.1002/2014RG000475$$gVol. 53, no. 2, p. 323 - 361$$n2$$p323 - 361$$tReviews of geophysics$$v53$$x8755-1209$$y2015
000203404 8564_ $$uhttps://juser.fz-juelich.de/record/203404/files/2015-Reviews_of_Geophysics.pdf$$yOpenAccess
000203404 8564_ $$uhttps://juser.fz-juelich.de/record/203404/files/2015-Reviews_of_Geophysics.gif?subformat=icon$$xicon$$yOpenAccess
000203404 8564_ $$uhttps://juser.fz-juelich.de/record/203404/files/2015-Reviews_of_Geophysics.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
000203404 8564_ $$uhttps://juser.fz-juelich.de/record/203404/files/2015-Reviews_of_Geophysics.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000203404 8564_ $$uhttps://juser.fz-juelich.de/record/203404/files/2015-Reviews_of_Geophysics.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000203404 8564_ $$uhttps://juser.fz-juelich.de/record/203404/files/2015-Reviews_of_Geophysics.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000203404 909CO $$ooai:juser.fz-juelich.de:203404$$pdnbdelivery$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire
000203404 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bREV GEOPHYS : 2013
000203404 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000203404 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000203404 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000203404 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000203404 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000203404 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000203404 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences
000203404 915__ $$0StatID:(DE-HGF)9910$$2StatID$$aIF >= 10$$bREV GEOPHYS : 2013
000203404 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000203404 9141_ $$y2015
000203404 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)151405$$aForschungszentrum Jülich GmbH$$b11$$kFZJ
000203404 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)151405$$aForschungszentrum Jülich GmbH$$b11$$kFZJ
000203404 9131_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0
000203404 9131_ $$0G:(DE-HGF)POF3-511$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data$$vComputational Science and Mathematical Methods$$x1
000203404 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000203404 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x1
000203404 980__ $$ajournal
000203404 980__ $$aVDB
000203404 980__ $$aI:(DE-Juel1)IBG-3-20101118
000203404 980__ $$aI:(DE-Juel1)JSC-20090406
000203404 980__ $$aUNRESTRICTED
000203404 9801_ $$aFullTexts
000203404 981__ $$aI:(DE-Juel1)JSC-20090406