A Physically Based Daily Hydrometeorological Model for Complex Mountain Terrain
This paper describes the continued development of the physically based hydrometeorological model Generate Earth Systems Science input (GENESYS) and its application in simulating snowpack in the St. Mary (STM) River watershed, Montana. GENESYS is designed to operate a high spatial and temporal resolu...
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Veröffentlicht in: | Journal of hydrometeorology 2009-12, Vol.10 (6), p.1430-1446 |
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creator | MacDonald, Ryan J. Byrne, James M. Kienzle, Stefan W. |
description | This paper describes the continued development of the physically based hydrometeorological model Generate Earth Systems Science input (GENESYS) and its application in simulating snowpack in the St. Mary (STM) River watershed, Montana. GENESYS is designed to operate a high spatial and temporal resolution over complex mountainous terrain. The intent of this paper is to assess the performance of the model in simulating daily snowpack and the spatial extent of snow cover over the St. Mary River watershed. A new precipitation estimation method that uses snowpack telemetry (SNOTEL) and snow survey data is presented and compared with two other methods, including Parameter-elevation Regressions on Independent Slopes Model (PRISM) precipitation data. A method for determining daily temperature lapse rates from NCEP reanalysis data is also presented and the effect of temperature lapse rate on snowpack simulations is determined. Simulated daily snowpack values compare well with observed values at the Many Glacier SNOTEL site, with varying degrees of accuracy, dependent on the method used to estimate precipitation. The spatial snow cover extent compares well with Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover products for three dates selected to represent snow accumulation and ablation periods. |
doi_str_mv | 10.1175/2009JHM1093.1 |
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GENESYS is designed to operate a high spatial and temporal resolution over complex mountainous terrain. The intent of this paper is to assess the performance of the model in simulating daily snowpack and the spatial extent of snow cover over the St. Mary River watershed. A new precipitation estimation method that uses snowpack telemetry (SNOTEL) and snow survey data is presented and compared with two other methods, including Parameter-elevation Regressions on Independent Slopes Model (PRISM) precipitation data. A method for determining daily temperature lapse rates from NCEP reanalysis data is also presented and the effect of temperature lapse rate on snowpack simulations is determined. Simulated daily snowpack values compare well with observed values at the Many Glacier SNOTEL site, with varying degrees of accuracy, dependent on the method used to estimate precipitation. 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GENESYS is designed to operate a high spatial and temporal resolution over complex mountainous terrain. The intent of this paper is to assess the performance of the model in simulating daily snowpack and the spatial extent of snow cover over the St. Mary River watershed. A new precipitation estimation method that uses snowpack telemetry (SNOTEL) and snow survey data is presented and compared with two other methods, including Parameter-elevation Regressions on Independent Slopes Model (PRISM) precipitation data. A method for determining daily temperature lapse rates from NCEP reanalysis data is also presented and the effect of temperature lapse rate on snowpack simulations is determined. Simulated daily snowpack values compare well with observed values at the Many Glacier SNOTEL site, with varying degrees of accuracy, dependent on the method used to estimate precipitation. The spatial snow cover extent compares well with Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover products for three dates selected to represent snow accumulation and ablation periods.</description><subject>Climate models</subject><subject>Hydrometeorology</subject><subject>Lapse rate</subject><subject>Modeling</subject><subject>Precipitation</subject><subject>Snow</subject><subject>Snow cover</subject><subject>Snowpack</subject><subject>Topographical elevation</subject><subject>Watersheds</subject><issn>1525-755X</issn><issn>1525-7541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNpN0M1LwzAYBvAgCs7p0aOQk7fOJG2S5Tjnx5SNeZjgLaTJW-1Il5l0YP97OybD0_Pw8uM9PAhdUzKiVPI7Roh6nS0oUfmInqAB5Yxnkhf09Nj5xzm6SGlNCCkUHQ_QcoLfvrpUW-N9h-9NAocfTN33WediaKCFEIMPn3uBF8GBx1WIeBqarYef_rLbtKbe4BXE2OclOquMT3D1l0P0_vS4ms6y-fL5ZTqZZzZnqs2EEDxnpKBcKi7KcckUKcDk0pYSrKVSSupKUE5wZ7gipLJCCQtCFU6piudDdHv4u43hewep1U2dLHhvNhB2STPKpCCS9TA7QBtDShEqvY11Y2KnKdH72fS_2TTt_c3Br1Mb4hGzfi42JkX-C6sdaQQ</recordid><startdate>20091201</startdate><enddate>20091201</enddate><creator>MacDonald, Ryan J.</creator><creator>Byrne, James M.</creator><creator>Kienzle, Stefan W.</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>20091201</creationdate><title>A Physically Based Daily Hydrometeorological Model for Complex Mountain Terrain</title><author>MacDonald, Ryan J. ; Byrne, James M. ; Kienzle, Stefan W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c329t-66653204157956b8b2904ea37cb7ecc17771dbe9d65da5900fc696ce694d99f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Climate models</topic><topic>Hydrometeorology</topic><topic>Lapse rate</topic><topic>Modeling</topic><topic>Precipitation</topic><topic>Snow</topic><topic>Snow cover</topic><topic>Snowpack</topic><topic>Topographical elevation</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MacDonald, Ryan J.</creatorcontrib><creatorcontrib>Byrne, James M.</creatorcontrib><creatorcontrib>Kienzle, Stefan W.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of hydrometeorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MacDonald, Ryan J.</au><au>Byrne, James M.</au><au>Kienzle, Stefan W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Physically Based Daily Hydrometeorological Model for Complex Mountain Terrain</atitle><jtitle>Journal of hydrometeorology</jtitle><date>2009-12-01</date><risdate>2009</risdate><volume>10</volume><issue>6</issue><spage>1430</spage><epage>1446</epage><pages>1430-1446</pages><issn>1525-755X</issn><eissn>1525-7541</eissn><abstract>This paper describes the continued development of the physically based hydrometeorological model Generate Earth Systems Science input (GENESYS) and its application in simulating snowpack in the St. Mary (STM) River watershed, Montana. GENESYS is designed to operate a high spatial and temporal resolution over complex mountainous terrain. The intent of this paper is to assess the performance of the model in simulating daily snowpack and the spatial extent of snow cover over the St. Mary River watershed. A new precipitation estimation method that uses snowpack telemetry (SNOTEL) and snow survey data is presented and compared with two other methods, including Parameter-elevation Regressions on Independent Slopes Model (PRISM) precipitation data. A method for determining daily temperature lapse rates from NCEP reanalysis data is also presented and the effect of temperature lapse rate on snowpack simulations is determined. Simulated daily snowpack values compare well with observed values at the Many Glacier SNOTEL site, with varying degrees of accuracy, dependent on the method used to estimate precipitation. The spatial snow cover extent compares well with Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover products for three dates selected to represent snow accumulation and ablation periods.</abstract><pub>American Meteorological Society</pub><doi>10.1175/2009JHM1093.1</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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source | American Meteorological Society; JSTOR Archive Collection A-Z Listing; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
subjects | Climate models Hydrometeorology Lapse rate Modeling Precipitation Snow Snow cover Snowpack Topographical elevation Watersheds |
title | A Physically Based Daily Hydrometeorological Model for Complex Mountain Terrain |
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