干旱区生态环境知识资源中心(Arid): 基于多源遥感数据的疏勒河上游山区流域VIC-CAS模型积雪模拟效果评估

Arid

	基于多源遥感数据的疏勒河上游山区流域VIC-CAS模型积雪模拟效果评估
其他题名	Evaluation on snow coverage and snow depth simulated by VIC-CAS model based on multi-source remote sensing data in mountainous upper reach of the Shule River basin
	郭佳锴; 李哲; 李飞; 张世强
来源期刊	冰川冻土
ISSN	1000-0240
出版年	2021
卷号	43 期号:2 页码:1000-0240
中文摘要	积雪积累和消融过程是冰冻圈水文模型的重要组成部分,利用多源遥感数据对水文模型模拟的积雪分布和深度进行评估是进一步增强融雪过程模拟的物理基础,也是提高模拟可靠性的重要手段。基于2002-2013年疏勒河上游山区流域MODIS地表反射率数据集和中国雪深长时间序列数据集,对VIC-CAS模型模拟的逐日积雪覆盖度和雪深进行了综合评估。结果表明:从不同降雪年份来看,VICCAS模型可以较好地模拟多雪年(2008年)疏勒河上游山区流域积雪的覆盖度,在平雪年(2004年)和少雪年(2013年)模型模拟精度相对较低。从不同海拔的模拟结果来看,在流域占比最高的4 000~5 000 m高程带精度最高,2 000~3 000 m高程带精度最低;对比模拟雪深与中国雪深产品发现,多雪年的一致性较高,平雪年和少雪年的一致性较低。这表明VIC-CAS模型对疏勒河上游日尺度的积雪覆盖度和雪深的模拟精度相对较低,特别在低海拔处和薄雪情况下,其原因可能是对积雪再分布和风吹雪过程的模拟算法和参数化存在较大的不确定性,需要进一步改进。
英文摘要	The accumulation and melting processes of snow are the important parts of the cryospheric hydrologi-cal model.Generally,the simulated snow cover and snow depth time-series by distributed hydrological model were difficult to evaluate,which mainly calibrated and validated by observed runoff data.The multi-source re-mote sensing snow cover and snow depth products give a good choice for evaluating the spatial-temporal patterns of snow cover and snow depth of simulation,which probably help to enhance the physical basement of model. However,due to the cryospheric components include glacier,snow cover,permafrost always distributed togeth-er in one basin,the evaluation on snow cover in one basin should base on that there are enough precipitation ob-servation data in alpine areas of the basin,and glacier meltwater were reasonable simulated,which indicated that the large uncertainties of simulated cover were removed.There are more than 20 precipitation observation instru-ments were installed since 2009 in the upper reach of the Shule River basin(URSRB)with average elevation above 4 000 m a.s.l.,and the annual precipitation gradient were obtained with 14.654 mm·(100m)~(-1).The riv-er runoff of Changmabao in URSRB was successfully simulated by VIC-CAS model,which coupled with glacier modules with VIC-3L model,and the simulated single glacier area changes were compared with that observed from multiple temporal remote sensing data.The simulation suggested that it well represent the glacier meltwater and glacier change.Thus,the simulated snow coverage and snow depth by VIC-CAS model were evaluated by remote sensing products in URSRB.Based on 4 383 daily MODIS surface reflectance datasets and the Longterm Snow Depth Dataset of China from 2002 to 2013,in which the snow depth algorithm developed by Che and Dai of Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Scienc-es,the daily snow cover and snow depth simulated by VIC-CAS model were comprehensively compared in URSRB.All the forcing data,parameters,and the calibration and validation processes of VIC-CAS model in URSRB are the same with previous published literature.The comparison of stats in monthly average snow cover-age and spatial pattern of annual average snow coverage in 182 sub-basins suggested that VIC-CAS model can better simulate the snow cover a in more snow year such as 2008,which has the higher relative coefficient(r)by 0.67 and lower root mean square error(RMSE)by 0.12.The simulation accuracy of VIC-CAS model is rel-atively lower in normal year such as 2004 with r by 0.37 and RMSE by 0.13 and less snow year such as 2013,which has r by 0.52 and RMSE by 0.09.The spatial distribution of annual average simulated snow cover has the similar patterns with that from remote sensing data,especially in more snow year,although the simulated snow coverage is less than observed by remote sensing data.The best simulation of snow coverage is located at 4 000~5 000 m a.s.l.altitude zone,which has high r by 0.44,0.66,0.60,and RMSE by 0.15,0.12,0.11 in normal year,more snow year,and less snow year,respectively,while that is the worst at 2 000~3 000 m a.s.l. altitude zone,which has r by-0.1.
中文关键词	VIC-CAS模型 ; 积雪覆盖度 ; 雪深 ; 精度评价 ; 疏勒河上游山区流域
英文关键词	VIC-CAS model snow coverage snow depth accuracy assessment mountainous upper reach of the Shule River basin
类型	Article
语种	中文
国家	中国
收录类别	CSCD
WOS类目	Geology
CSCD记录号	CSCD:6972502
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364910
作者单位	郭佳锴, 西北大学;;西北大学城市与环境学院, 陕西省地表系统与环境承载力重点实验室;;, 西安;;西安, 陕西;;陕西 710127;;710127, 中国.; 李哲, 西北大学;;西北大学城市与环境学院, 陕西省地表系统与环境承载力重点实验室;;, 西安;;西安, 陕西;;陕西 710127;;710127, 中国.; 李飞, 西北大学;;西北大学城市与环境学院, 陕西省地表系统与环境承载力重点实验室;;, 西安;;西安, 陕西;;陕西 710127;;710127, 中国.; 张世强, 西北大学;;西北大学城市与环境学院, 陕西省地表系统与环境承载力重点实验室;;, 西安;;西安, 陕西;;陕西 710127;;710127, 中国.
推荐引用方式 GB/T 7714	郭佳锴,李哲,李飞,等. 基于多源遥感数据的疏勒河上游山区流域VIC-CAS模型积雪模拟效果评估[J],2021,43(2):1000-0240.
APA	郭佳锴,李哲,李飞,&张世强.(2021).基于多源遥感数据的疏勒河上游山区流域VIC-CAS模型积雪模拟效果评估.冰川冻土,43(2),1000-0240.
MLA	郭佳锴,et al."基于多源遥感数据的疏勒河上游山区流域VIC-CAS模型积雪模拟效果评估".冰川冻土 43.2(2021):1000-0240.