Morphogenesis of typical winter and summer snow surface patterns in a continental alpine environment
Identifieur interne : 001720 ( Istex/Corpus ); précédent : 001719; suivant : 001721Morphogenesis of typical winter and summer snow surface patterns in a continental alpine environment
Auteurs : Ute C. Herzfeld ; Helmut Mayer ; Nel Caine ; Mark Losleben ; Tim ErbrechtSource :
- Hydrological Processes [ 0885-6087 ] ; 2003-02-28.
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Abstract
Snow surface roughness is an important variable in the study of surface–atmosphere exchanges, including the investigation of snow melt at several scales, meltwater production and meltwater flux, wind transport and erosion in winter. In this paper the morphogenesis of the snow surface in winter and in summer is investigated both phenomenologically and quantitatively. For the first time, snow surface roughness and microtopography is measured spatially, using the Glacier Roughness Sensor (GRS), an instrument developed especially for this purpose. Data are analysed by application of geostatistical characterization and classification methods. Parameters that are useful as snow surface descriptors are defined and extracted from vario functions of first and second order, which are calculated for snow‐surface‐roughness data. As a result of the geostatistical analysis, characteristics of morphogenetic processes of the winter and summer snow surface are derived. Characteristic parameters are given for suncups (summer) and sastrugi (winter) and their development stages, as well as quantitative discriminators between these forms, which may facilitate automation of snow surface classification. As an application, the interaction of environmentally induced processes and self‐organizational processes is analysed. Copyright © 2003 John Wiley & Sons, Ltd.
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DOI: 10.1002/hyp.1158
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In this paper the morphogenesis of the snow surface in winter and in summer is investigated both phenomenologically and quantitatively. For the first time, snow surface roughness and microtopography is measured spatially, using the Glacier Roughness Sensor (GRS), an instrument developed especially for this purpose. Data are analysed by application of geostatistical characterization and classification methods. Parameters that are useful as snow surface descriptors are defined and extracted from vario functions of first and second order, which are calculated for snow‐surface‐roughness data. As a result of the geostatistical analysis, characteristics of morphogenetic processes of the winter and summer snow surface are derived. Characteristic parameters are given for suncups (summer) and sastrugi (winter) and their development stages, as well as quantitative discriminators between these forms, which may facilitate automation of snow surface classification. As an application, the interaction of environmentally induced processes and self‐organizational processes is analysed. Copyright © 2003 John Wiley & Sons, Ltd.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Ute C. 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In this paper the morphogenesis of the snow surface in winter and in summer is investigated both phenomenologically and quantitatively. For the first time, snow surface roughness and microtopography is measured spatially, using the Glacier Roughness Sensor (GRS), an instrument developed especially for this purpose. Data are analysed by application of geostatistical characterization and classification methods. Parameters that are useful as snow surface descriptors are defined and extracted from vario functions of first and second order, which are calculated for snow‐surface‐roughness data. As a result of the geostatistical analysis, characteristics of morphogenetic processes of the winter and summer snow surface are derived. Characteristic parameters are given for suncups (summer) and sastrugi (winter) and their development stages, as well as quantitative discriminators between these forms, which may facilitate automation of snow surface classification. As an application, the interaction of environmentally induced processes and self‐organizational processes is analysed. Copyright © 2003 John Wiley & Sons, Ltd.</abstract><qualityIndicators><score>7.244</score><pdfVersion>1.3</pdfVersion><pdfPageSize>595 x 842 pts (A4)</pdfPageSize><refBibsNative>true</refBibsNative><abstractCharCount>1359</abstractCharCount><pdfWordCount>11605</pdfWordCount><pdfCharCount>64686</pdfCharCount><pdfPageCount>31</pdfPageCount><abstractWordCount>187</abstractWordCount></qualityIndicators><title>Morphogenesis of typical winter and summer snow surface patterns in a continental alpine environment</title><refBibs><json:item><host><author></author><title>Bagnold RA. 1941. The Physics of Blown Sand and Desert Dunes. Methuen & Co. 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De Gruyter: Berlin.</title></host></json:item><json:item><author><json:item><name>M‐K Woo</name></json:item><json:item><name>HO Slaymaker</name></json:item></author><host><volume>57</volume><pages><last>212</last><first>201</first></pages><author></author><title>Geografiska Annaler A</title></host><title>Alpine streamflow response to variable snowpack thickness and extent</title></json:item></refBibs><genre><json:string>article</json:string></genre><host><volume>17</volume><publisherId><json:string>HYP</json:string></publisherId><pages><total>31</total><last>649</last><first>619</first></pages><issn><json:string>0885-6087</json:string></issn><issue>3</issue><subject><json:item><value>Research Article</value></json:item></subject><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>1099-1085</json:string></eissn><title>Hydrological Processes</title><doi><json:string>10.1002/(ISSN)1099-1085</json:string></doi></host><categories><wos><json:string>science</json:string><json:string>water resources</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>engineering</json:string><json:string>environmental engineering</json:string></scienceMetrix></categories><publicationDate>2003</publicationDate><copyrightDate>2003</copyrightDate><doi><json:string>10.1002/hyp.1158</json:string></doi><id>D8722522BF4FC29A8E7FD2AE3988C2F07C78F4DA</id><score>0.3802324</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/D8722522BF4FC29A8E7FD2AE3988C2F07C78F4DA/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/D8722522BF4FC29A8E7FD2AE3988C2F07C78F4DA/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/D8722522BF4FC29A8E7FD2AE3988C2F07C78F4DA/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Morphogenesis of typical winter and summer snow surface patterns in a continental alpine environment</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>John Wiley & Sons, Ltd.</publisher><pubPlace>Chichester, UK</pubPlace><availability><p>Copyright © 2003 John Wiley & Sons, Ltd.</p></availability><date>2003</date></publicationStmt><notesStmt><note>National Science Foundation - No. EAR‐0001514;</note><note>Deutsche Forschungsgemeinschaft - No. He1547‐4 He1547‐7/1;</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Morphogenesis of typical winter and summer snow surface patterns in a continental alpine environment</title><author xml:id="author-1"><persName><forename type="first">Ute C.</forename><surname>Herzfeld</surname></persName><affiliation>Geomathematik, Fachbereich Geographie/Geowissenschaften, Universität Trier, D‐54286 Trier, Germany</affiliation><affiliation>Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO 80309‐0450, USA</affiliation><affiliation>Instaar, University of Colorado, Boulder, CO 80309‐0450, USA.===</affiliation></author><author xml:id="author-2"><persName><forename type="first">Helmut</forename><surname>Mayer</surname></persName><affiliation>Geomathematik, Fachbereich Geographie/Geowissenschaften, Universität Trier, D‐54286 Trier, Germany</affiliation><affiliation>Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO 80309‐0450, USA</affiliation></author><author xml:id="author-3"><persName><forename type="first">Nel</forename><surname>Caine</surname></persName><affiliation>Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO 80309‐0450, USA</affiliation><affiliation>Department of Geography, University of Colorado Boulder, Boulder, CO 80309‐0260, USA</affiliation></author><author xml:id="author-4"><persName><forename type="first">Mark</forename><surname>Losleben</surname></persName><affiliation>Mountain Research Station, Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO 80309‐0450, USA</affiliation></author><author xml:id="author-5"><persName><forename type="first">Tim</forename><surname>Erbrecht</surname></persName><affiliation>Geomathematik, Fachbereich Geographie/Geowissenschaften, Universität Trier, D‐54286 Trier, Germany</affiliation><affiliation>Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO 80309‐0450, USA</affiliation></author></analytic><monogr><title level="j">Hydrological Processes</title><title level="j" type="abbrev">Hydrol. 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As an application, the interaction of environmentally induced processes and self‐organizational processes is analysed. 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In this paper the morphogenesis of the snow surface in winter and in summer is investigated both phenomenologically and quantitatively. For the first time, snow surface roughness and microtopography is measured spatially, using the Glacier Roughness Sensor (GRS), an instrument developed especially for this purpose. Data are analysed by application of geostatistical characterization and classification methods. Parameters that are useful as snow surface descriptors are defined and extracted from vario functions of first and second order, which are calculated for snow‐surface‐roughness data. As a result of the geostatistical analysis, characteristics of morphogenetic processes of the winter and summer snow surface are derived. Characteristic parameters are given for suncups (summer) and sastrugi (winter) and their development stages, as well as quantitative discriminators between these forms, which may facilitate automation of snow surface classification. As an application, the interaction of environmentally induced processes and self‐organizational processes is analysed. Copyright © 2003 John Wiley & Sons, Ltd.</abstract><note type="funding">National Science Foundation - No. EAR‐0001514; </note><note type="funding">Deutsche Forschungsgemeinschaft - No. He1547‐4 He1547‐7/1; </note><subject lang="en"><genre>keywords</genre><topic>snow surface roughness</topic><topic>Glacier Roughness Sensor</topic><topic>vario functions</topic><topic>geostatistical classification</topic><topic>sun cups</topic><topic>sastrugi</topic><topic>self‐organizational processes</topic></subject><relatedItem type="host"><titleInfo><title>Hydrological Processes</title></titleInfo><titleInfo type="abbreviated"><title>Hydrol. 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