GSTDTAP  > 气候变化
DOI10.1002/joc.4804
The Andes Cordillera. Part I: snow distribution, properties, and trends (1979-2014)
Mernild, Sebastian H.1,2,6; Liston, Glen E.3; Hiemstra, Christopher A.4; Malmros, Jeppe K.5; Yde, Jacob C.6; McPhee, James7,8
2017-03-30
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2017
卷号37期号:4
文章类型Article
语种英语
国家Chile; USA; Denmark; Norway
英文摘要

Snow cover presence, duration, properties, and water amount play a major role in Earth's climate system through its impact on the surface energy budget. Snow cover conditions and trends (1979-2014) were simulated for South America-for the entire Andes Cordillera. Recent data sets and SnowModel developments allow relatively high-resolutions of 3-h time step and 4-km horizontal grid increment for this domain. US Geological Survey's Global Multi-resolution Terrain Elevation Data 2010 topography, Global Land Cover (GlobCover), Randolph Glacier Inventory (v. 4.0) glacier, and NASA modern-era retrospective analysis for research and applications data sets were used to simulate first-order atmospheric forcing (e.g. near-surface air temperature and precipitation, including the fraction of precipitation falling as snow) and terrestrial snow characteristics (e.g. snow cover days, snow water equivalent depth, and snow density). Simulated snow conditions were verified against moderate-resolution imaging spectroradiometer-derived snow cover extent and 3064 individual direct observations of snow depths. Regional variability in mean annual air temperature occurred: positive trends in general were seen in the high Andes Cordillera, and negative trends at relatively lower elevations both east and west of the Cordillera. Snow precipitation showed more heterogeneous patterns than air temperature due to the influence from atmospheric conditions, topography, and orography. Overall, for the Cordillera, much of the area north of 23 degrees S had a decrease in the number of snow cover days, while the southern half experienced the opposite. The snow cover extent changed approximate to-15% during the simulation period, mostly between the elevations of approximate to 3000 and 5000m above sea level (a.s.l.). However, below 1000ma.s.l. (in Patagonia) the snow cover extent increased. The snow properties varied over short distances both along and across the Andes Cordillera.


英文关键词Andes Cordillera modelling NASA MERRA MODIS SnowModel snow snow classification South America
领域气候变化
收录类别SCI-E
WOS记录号WOS:000397497700003
WOS关键词SURFACE MASS-BALANCE ; RIVER DRAINAGE-BASIN ; SEASONAL SNOW ; ICE-SHEET ; SOUTHEAST GREENLAND ; PATAGONIA ICEFIELD ; AMMASSALIK ISLAND ; WATER EQUIVALENT ; ENERGY-BALANCE ; UPPER TREELINE
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/36964
专题气候变化
作者单位1.Univ Magallanes, Antarctic & Subantarctic Program, Punta Arenas, Chile;
2.Ctr Estudios Avanzados Zonas Aridas, La Serena, Chile;
3.Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA;
4.US Army, Cold Reg Res & Engn Lab, Ft Wainwright, AK USA;
5.Univ Copenhagen, Dept Geosci & Nat Resource Management, Copenhagen, Denmark;
6.Sogn & Fjordane Univ Coll, Fac Sci & Engn, Postboks 133, N-6851 Sogndal, Norway;
7.Univ Chile, Fac Ciencias Fis & Matemat, Dept Civil Engn, Santiago, Chile;
8.Univ Chile, Fac Ciencias Fis & Matemat, Adv Min Technol Ctr, Santiago, Chile
推荐引用方式
GB/T 7714
Mernild, Sebastian H.,Liston, Glen E.,Hiemstra, Christopher A.,et al. The Andes Cordillera. Part I: snow distribution, properties, and trends (1979-2014)[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(4).
APA Mernild, Sebastian H.,Liston, Glen E.,Hiemstra, Christopher A.,Malmros, Jeppe K.,Yde, Jacob C.,&McPhee, James.(2017).The Andes Cordillera. Part I: snow distribution, properties, and trends (1979-2014).INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(4).
MLA Mernild, Sebastian H.,et al."The Andes Cordillera. Part I: snow distribution, properties, and trends (1979-2014)".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.4(2017).
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