000857189 001__ 857189
000857189 005__ 20240712100854.0
000857189 0247_ $$2doi$$a10.5194/acp-18-14327-2018
000857189 0247_ $$2ISSN$$a1680-7316
000857189 0247_ $$2ISSN$$a1680-7324
000857189 0247_ $$2ISSN$$a=
000857189 0247_ $$2ISSN$$aAtmospheric
000857189 0247_ $$2ISSN$$achemistry
000857189 0247_ $$2ISSN$$aand
000857189 0247_ $$2ISSN$$aphysics
000857189 0247_ $$2ISSN$$a(Online)
000857189 0247_ $$2Handle$$a2128/20036
000857189 0247_ $$2WOS$$aWOS:000446731000004
000857189 0247_ $$2altmetric$$aaltmetric:49402473
000857189 037__ $$aFZJ-2018-06426
000857189 082__ $$a550
000857189 1001_ $$00000-0002-2822-5303$$aSourdeval, Odran$$b0$$eCorresponding author
000857189 245__ $$aIce crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation
000857189 260__ $$aKatlenburg-Lindau$$bEGU$$c2018
000857189 3367_ $$2DRIVER$$aarticle
000857189 3367_ $$2DataCite$$aOutput Types/Journal article
000857189 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1542203359_10165
000857189 3367_ $$2BibTeX$$aARTICLE
000857189 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000857189 3367_ $$00$$2EndNote$$aJournal Article
000857189 520__ $$aThe number concentration of cloud particles is a key quantity for understanding aerosol–cloud interactions and describing clouds in climate and numerical weather prediction models. In contrast with recent advances for liquid clouds, few observational constraints exist regarding the ice crystal number concentration (Ni). This study investigates how combined lidar–radar measurements can be used to provide satellite estimates of Ni, using a methodology that constrains moments of a parameterized particle size distribution (PSD). The operational liDAR–raDAR (DARDAR) product serves as an existing base for this method, which focuses on ice clouds with temperatures Tc < −30°C.Theoretical considerations demonstrate the capability for accurate retrievals of Ni, apart from a possible bias in the concentration in small crystals when Tc≳ − 50°C, due to the assumption of a monomodal PSD shape in the current method. This is verified via a comparison of satellite estimates to coincident in situ measurements, which additionally demonstrates the sufficient sensitivity of lidar–radar observations to Ni. Following these results, satellite estimates of Ni are evaluated in the context of a case study and a preliminary climatological analysis based on 10 years of global data. Despite a lack of other large-scale references, this evaluation shows a reasonable physical consistency in Ni spatial distribution patterns. Notably, increases in Ni are found towards cold temperatures and, more significantly, in the presence of strong updrafts, such as those related to convective or orographic uplifts. Further evaluation and improvement of this method are necessary, although these results already constitute a first encouraging step towards large-scale observational constraints for Ni. Part 2 of this series uses this new dataset to examine the controls on Ni.
000857189 536__ $$0G:(DE-HGF)POF3-244$$a244 - Composition and dynamics of the upper troposphere and middle atmosphere (POF3-244)$$cPOF3-244$$fPOF III$$x0
000857189 588__ $$aDataset connected to CrossRef
000857189 7001_ $$00000-0002-3815-4756$$aGryspeerdt, Edward$$b1
000857189 7001_ $$0P:(DE-Juel1)129131$$aKrämer, Martina$$b2
000857189 7001_ $$0P:(DE-HGF)0$$aGoren, Tom$$b3
000857189 7001_ $$0P:(DE-HGF)0$$aDelanoë, Julien$$b4
000857189 7001_ $$0P:(DE-Juel1)129108$$aAfchine, Armin$$b5$$ufzj
000857189 7001_ $$00000-0002-2840-8687$$aHemmer, Friederike$$b6
000857189 7001_ $$00000-0001-7057-194X$$aQuaas, Johannes$$b7
000857189 773__ $$0PERI:(DE-600)2069847-1$$a10.5194/acp-18-14327-2018$$gVol. 18, no. 19, p. 14327 - 14350$$n19$$p14327 - 14350$$tAtmospheric chemistry and physics$$v18$$x1680-7324$$y2018
000857189 8564_ $$uhttps://juser.fz-juelich.de/record/857189/files/acp-18-14327-2018.pdf$$yOpenAccess
000857189 8564_ $$uhttps://juser.fz-juelich.de/record/857189/files/acp-18-14327-2018.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000857189 909CO $$ooai:juser.fz-juelich.de:857189$$pdnbdelivery$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire
000857189 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129131$$aForschungszentrum Jülich$$b2$$kFZJ
000857189 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129108$$aForschungszentrum Jülich$$b5$$kFZJ
000857189 9131_ $$0G:(DE-HGF)POF3-244$$1G:(DE-HGF)POF3-240$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lAtmosphäre und Klima$$vComposition and dynamics of the upper troposphere and middle atmosphere$$x0
000857189 9141_ $$y2018
000857189 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000857189 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000857189 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences
000857189 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bATMOS CHEM PHYS : 2017
000857189 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000857189 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000857189 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000857189 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000857189 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000857189 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000857189 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Peer review
000857189 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bATMOS CHEM PHYS : 2017
000857189 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000857189 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000857189 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000857189 9201_ $$0I:(DE-Juel1)IEK-7-20101013$$kIEK-7$$lStratosphäre$$x0
000857189 9801_ $$aFullTexts
000857189 980__ $$ajournal
000857189 980__ $$aVDB
000857189 980__ $$aUNRESTRICTED
000857189 980__ $$aI:(DE-Juel1)IEK-7-20101013
000857189 981__ $$aI:(DE-Juel1)ICE-4-20101013