Modeling seasonal snowpack evolution in the complex terrain and forested Colorado Headwaters region: A model intercomparison study (SCI)
文献类型：期刊论文
| 作者 | Chen F. ; Barlage M. ; Tewari M. ; Rasmussen R. ; Jin J. M. ; Lettenmaier D. ; Livneh B. ; Lin C. Y. ; Miguez-Macho G. ; Niu G. Y. ; Wen L. J. ; Yang Z. L. |
| 刊名 | Journal of Geophysical Research-Atmospheres
 |
| 出版日期 | 2014 |
| 卷号 | 119期号:24页码:13795-13819 |
| 英文摘要 | Correctly modeling snow is critical for climate models and for hydrologic applications. Snowpack simulated by six land surface models (LSM: Noah, Variable Infiltration Capacity, snow-atmosphere-soil transfer, Land Ecosystem-Atmosphere Feedback, Noah with Multiparameterization, and Community Land Model) were evaluated against 1 year snow water equivalent (SWE) data at 112 Snow Telemetry (SNOTEL) sites in the Colorado River Headwaters region and 4 year flux tower data at two AmeriFlux sites. All models captured the main characteristics of the seasonal SWE evolution fairly well at 112 SNOTEL sites. No single model performed the best to capture the combined features of the peak SWE, the timing of peak SWE, and the length of snow season. Evaluating only simulated SWE is deceiving and does not reveal critical deficiencies in models, because the models could produce similar SWE for starkly different reasons. Sensitivity experiments revealed that the models responded differently to variations of forest coverage. The treatment of snow albedo and its cascading effects on surface energy deficit, surface temperature, stability correction, and turbulent fluxes was a major intermodel discrepancy. Six LSMs substantially overestimated (underestimated) radiative flux (heat flux), a crucial deficiency in representing winter land-atmosphere feedback in coupled weather and climate models. Results showed significant intermodel differences in snowmelt efficiency and sublimation efficiency, and models with high rate of snow accumulation and melt were able to reproduce the observed seasonal evolution of SWE. This study highlights that the parameterization of cascading effects of snow albedo and below-canopy turbulence and radiation transfer is critical not only for SWE simulation but also for correctly capturing the winter land-atmosphere interactions. |
| 收录类别 | SCI |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.casnw.net/handle/362004/24952]  |
| 专题 | 寒区旱区环境与工程研究所_中科院寒区旱区环境与工程研究所（未分类）_期刊论文 |
| 推荐引用方式 GB/T 7714 | Chen F.,Barlage M.,Tewari M.,et al. Modeling seasonal snowpack evolution in the complex terrain and forested Colorado Headwaters region: A model intercomparison study (SCI)[J]. Journal of Geophysical Research-Atmospheres,2014,119(24):13795-13819. |
| APA | Chen F..,Barlage M..,Tewari M..,Rasmussen R..,Jin J. M..,...&Yang Z. L..(2014).Modeling seasonal snowpack evolution in the complex terrain and forested Colorado Headwaters region: A model intercomparison study (SCI).Journal of Geophysical Research-Atmospheres,119(24),13795-13819. |
| MLA | Chen F.,et al."Modeling seasonal snowpack evolution in the complex terrain and forested Colorado Headwaters region: A model intercomparison study (SCI)".Journal of Geophysical Research-Atmospheres 119.24(2014):13795-13819. |
入库方式： OAI收割
来源：寒区旱区环境与工程研究所
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