Variability and change in terrestrial snow cover: data acquisition and links to the atmosphere
Terrestrial snow cover is of significance to global geophysical systems because of its influence on both climatological and hydrological processes. Snow cover acts as a layer which modifies energy exchange between the surface and atmosphere, and as the frozen storage term in the water balance, affec...
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Veröffentlicht in: | Progress in physical geography 2000-12, Vol.24 (4), p.469-498 |
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description | Terrestrial snow cover is of significance to global geophysical systems because of its influence on both climatological and hydrological processes. Snow cover acts as a layer which modifies energy exchange between the surface and atmosphere, and as the frozen storage term in the water balance, affecting runoff and streamflow. This review addresses two challenges with regard to snow cover: how to monitor this variable adequately over time, and how to couple trends and variability in snow cover to atmospheric circulation. Developments in remote-sensing technology have provided a range of satellite-derived data products which complement in situ snow measurement procedures. Variability in data spatial resolution and domain, temporal repeatability, time series length and the level of snow-cover information derived (for example, snow extent vs. snow water equivalent) means that data application plays a large role in the utilization of an appropriate dataset. Given the variability in snow-cover data properties, the state of knowledge regarding interactions between snow cover and the atmosphere is similarly mixed. No standardized trends in continental or hemispheric snow cover are evident and the direction of forcing between snow cover and the atmosphere is still ambiguous. Identified associations are typically regional in extent, and statistically moderate in strength, proving cause-and-effect relationships difficult to identify. Future research needs are outlined, with an emphasis on passive-microwave imagery. These data have the necessary characteristics (quantitative estimates of snow-water equivalent, all-weather imaging) to provide the input data to the process based studies necessary to isolate linkages between snow cover and the atmosphere. |
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Snow cover acts as a layer which modifies energy exchange between the surface and atmosphere, and as the frozen storage term in the water balance, affecting runoff and streamflow. This review addresses two challenges with regard to snow cover: how to monitor this variable adequately over time, and how to couple trends and variability in snow cover to atmospheric circulation. Developments in remote-sensing technology have provided a range of satellite-derived data products which complement in situ snow measurement procedures. Variability in data spatial resolution and domain, temporal repeatability, time series length and the level of snow-cover information derived (for example, snow extent vs. snow water equivalent) means that data application plays a large role in the utilization of an appropriate dataset. Given the variability in snow-cover data properties, the state of knowledge regarding interactions between snow cover and the atmosphere is similarly mixed. No standardized trends in continental or hemispheric snow cover are evident and the direction of forcing between snow cover and the atmosphere is still ambiguous. Identified associations are typically regional in extent, and statistically moderate in strength, proving cause-and-effect relationships difficult to identify. Future research needs are outlined, with an emphasis on passive-microwave imagery. These data have the necessary characteristics (quantitative estimates of snow-water equivalent, all-weather imaging) to provide the input data to the process based studies necessary to isolate linkages between snow cover and the atmosphere.</description><identifier>ISSN: 0309-1333</identifier><identifier>EISSN: 1477-0296</identifier><identifier>DOI: 10.1177/030913330002400401</identifier><identifier>CODEN: PPGEEC</identifier><language>eng</language><publisher>Thousand Oaks, CA: SAGE Publications</publisher><subject>Atmosphere ; Atmospheric aerosols ; Atmospheric circulation ; Atmospheric sciences ; Bgi / Prodig ; Classification ; Climate ; Climatology ; Data acquisition ; Data processing ; Earth science ; Earth, ocean, space ; Energy storage ; Equivalence ; Exact sciences and technology ; External geophysics ; Forecasting techniques ; Geophysics ; Hydrology ; Hydrometeorology ; Imagery ; Microwave imagery ; Nivology. Glaciology ; Physical geography ; Precipitation ; Remote sensing ; Reproducibility ; Runoff ; Snow cover ; Snow-water equivalent ; Snow. Ice. Glaciers ; Spatial resolution ; Stream discharge ; Stream flow ; Studies ; Terrestrial environments ; Trends ; Variability ; Water balance ; Water resources</subject><ispartof>Progress in physical geography, 2000-12, Vol.24 (4), p.469-498</ispartof><rights>Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2001</rights><rights>2001 INIST-CNRS</rights><rights>Copyright Sage Publications Ltd. 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Snow cover acts as a layer which modifies energy exchange between the surface and atmosphere, and as the frozen storage term in the water balance, affecting runoff and streamflow. This review addresses two challenges with regard to snow cover: how to monitor this variable adequately over time, and how to couple trends and variability in snow cover to atmospheric circulation. Developments in remote-sensing technology have provided a range of satellite-derived data products which complement in situ snow measurement procedures. Variability in data spatial resolution and domain, temporal repeatability, time series length and the level of snow-cover information derived (for example, snow extent vs. snow water equivalent) means that data application plays a large role in the utilization of an appropriate dataset. Given the variability in snow-cover data properties, the state of knowledge regarding interactions between snow cover and the atmosphere is similarly mixed. No standardized trends in continental or hemispheric snow cover are evident and the direction of forcing between snow cover and the atmosphere is still ambiguous. Identified associations are typically regional in extent, and statistically moderate in strength, proving cause-and-effect relationships difficult to identify. Future research needs are outlined, with an emphasis on passive-microwave imagery. These data have the necessary characteristics (quantitative estimates of snow-water equivalent, all-weather imaging) to provide the input data to the process based studies necessary to isolate linkages between snow cover and the atmosphere.</description><subject>Atmosphere</subject><subject>Atmospheric aerosols</subject><subject>Atmospheric circulation</subject><subject>Atmospheric sciences</subject><subject>Bgi / Prodig</subject><subject>Classification</subject><subject>Climate</subject><subject>Climatology</subject><subject>Data acquisition</subject><subject>Data processing</subject><subject>Earth science</subject><subject>Earth, ocean, space</subject><subject>Energy storage</subject><subject>Equivalence</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Forecasting techniques</subject><subject>Geophysics</subject><subject>Hydrology</subject><subject>Hydrometeorology</subject><subject>Imagery</subject><subject>Microwave imagery</subject><subject>Nivology. Glaciology</subject><subject>Physical geography</subject><subject>Precipitation</subject><subject>Remote sensing</subject><subject>Reproducibility</subject><subject>Runoff</subject><subject>Snow cover</subject><subject>Snow-water equivalent</subject><subject>Snow. Ice. Glaciers</subject><subject>Spatial resolution</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Studies</subject><subject>Terrestrial environments</subject><subject>Trends</subject><subject>Variability</subject><subject>Water balance</subject><subject>Water resources</subject><issn>0309-1333</issn><issn>1477-0296</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AVQMV</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>K50</sourceid><sourceid>M1D</sourceid><sourceid>M2O</sourceid><recordid>eNp90E1v1DAQBmALgcRS-AOcLIG4hdrjj8TcUFUoUiUuwJFo4ky6Lll7a3uL-u9JWIQqEJx8mGfGr17GnkvxWsq2PRVKOKmUEkKAFkIL-YBtpG7bRoCzD9lmBc0qHrMnpVwvrm0BNuzrF8wBhzCHescxjtxvMV4RD5FXyplKXcYzLzF95z7dUn7DR6zI0d8cQgk1pPhzbQ7xW-E18boljnWXyn5LmZ6yRxPOhZ79ek_Y53fnn84umsuP7z-cvb1svBaqNmaUjhyAGpyabGdIoTOTbb0FQg8WR3KdsxpAT86MvhuBzDANo5BewQDqhL063t3ndHNYUve7UDzNM0ZKh9IvHbVGmm6BL_6A1-mQ45Ktlw46aYSWq4Kj8jmVkmnq9znsMN_1UvRr4f3fhd87jcXjPGWMPpTfmx10YO2iXv5PGeu00WuC0yMreEX3Mv77-x8EmpkN</recordid><startdate>20001201</startdate><enddate>20001201</enddate><creator>Derksen, C.</creator><creator>LeDrew, E.</creator><general>SAGE Publications</general><general>Sage Publications</general><general>Turpin</general><general>Sage Publications Ltd</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7XB</scope><scope>88J</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AVQMV</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K50</scope><scope>L6V</scope><scope>M1D</scope><scope>M2O</scope><scope>M2R</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7UA</scope><scope>C1K</scope></search><sort><creationdate>20001201</creationdate><title>Variability and change in terrestrial snow cover: data acquisition and links to the atmosphere</title><author>Derksen, C. ; LeDrew, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-5d19e9223b93f685e3a95f67c62eac26ade98964224f95dc8d2e5bfbd01c32b23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Atmosphere</topic><topic>Atmospheric aerosols</topic><topic>Atmospheric circulation</topic><topic>Atmospheric sciences</topic><topic>Bgi / Prodig</topic><topic>Classification</topic><topic>Climate</topic><topic>Climatology</topic><topic>Data acquisition</topic><topic>Data processing</topic><topic>Earth science</topic><topic>Earth, ocean, space</topic><topic>Energy storage</topic><topic>Equivalence</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Forecasting techniques</topic><topic>Geophysics</topic><topic>Hydrology</topic><topic>Hydrometeorology</topic><topic>Imagery</topic><topic>Microwave imagery</topic><topic>Nivology. Glaciology</topic><topic>Physical geography</topic><topic>Precipitation</topic><topic>Remote sensing</topic><topic>Reproducibility</topic><topic>Runoff</topic><topic>Snow cover</topic><topic>Snow-water equivalent</topic><topic>Snow. Ice. Glaciers</topic><topic>Spatial resolution</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Studies</topic><topic>Terrestrial environments</topic><topic>Trends</topic><topic>Variability</topic><topic>Water balance</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Derksen, C.</creatorcontrib><creatorcontrib>LeDrew, E.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>Arts Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Access via Art, Design & Architecture Collection (ProQuest)</collection><collection>ProQuest Engineering Collection</collection><collection>Arts & Humanities Database</collection><collection>Research Library</collection><collection>Social Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Progress in physical geography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Derksen, C.</au><au>LeDrew, E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variability and change in terrestrial snow cover: data acquisition and links to the atmosphere</atitle><jtitle>Progress in physical geography</jtitle><date>2000-12-01</date><risdate>2000</risdate><volume>24</volume><issue>4</issue><spage>469</spage><epage>498</epage><pages>469-498</pages><issn>0309-1333</issn><eissn>1477-0296</eissn><coden>PPGEEC</coden><abstract>Terrestrial snow cover is of significance to global geophysical systems because of its influence on both climatological and hydrological processes. Snow cover acts as a layer which modifies energy exchange between the surface and atmosphere, and as the frozen storage term in the water balance, affecting runoff and streamflow. This review addresses two challenges with regard to snow cover: how to monitor this variable adequately over time, and how to couple trends and variability in snow cover to atmospheric circulation. Developments in remote-sensing technology have provided a range of satellite-derived data products which complement in situ snow measurement procedures. Variability in data spatial resolution and domain, temporal repeatability, time series length and the level of snow-cover information derived (for example, snow extent vs. snow water equivalent) means that data application plays a large role in the utilization of an appropriate dataset. Given the variability in snow-cover data properties, the state of knowledge regarding interactions between snow cover and the atmosphere is similarly mixed. No standardized trends in continental or hemispheric snow cover are evident and the direction of forcing between snow cover and the atmosphere is still ambiguous. Identified associations are typically regional in extent, and statistically moderate in strength, proving cause-and-effect relationships difficult to identify. Future research needs are outlined, with an emphasis on passive-microwave imagery. These data have the necessary characteristics (quantitative estimates of snow-water equivalent, all-weather imaging) to provide the input data to the process based studies necessary to isolate linkages between snow cover and the atmosphere.</abstract><cop>Thousand Oaks, CA</cop><pub>SAGE Publications</pub><doi>10.1177/030913330002400401</doi><tpages>30</tpages></addata></record> |
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subjects | Atmosphere Atmospheric aerosols Atmospheric circulation Atmospheric sciences Bgi / Prodig Classification Climate Climatology Data acquisition Data processing Earth science Earth, ocean, space Energy storage Equivalence Exact sciences and technology External geophysics Forecasting techniques Geophysics Hydrology Hydrometeorology Imagery Microwave imagery Nivology. Glaciology Physical geography Precipitation Remote sensing Reproducibility Runoff Snow cover Snow-water equivalent Snow. Ice. Glaciers Spatial resolution Stream discharge Stream flow Studies Terrestrial environments Trends Variability Water balance Water resources |
title | Variability and change in terrestrial snow cover: data acquisition and links to the atmosphere |
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