气候变化领域集成服务门户(CCPortal): Improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures

CCPortal

DOI	10.5194/tcd-9-3205-2015
	Improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures
	Navari M.; Margulis S.A.; Bateni S.M.; Tedesco M.; Alexander P.; Fettweis X.
发表日期	2015
ISSN	19940432
卷号	9 期号:3
英文摘要	The Greenland ice sheet (GrIS) has been the focus of climate studies due to its considerable impact on sea level rise. Accurate estimates of surface mass fluxes would contribute to understanding the cause of its recent unprecedented changes and would help to better estimate the past, current and future contribution of the GrIS to sea level rise. Though the estimates of the GrIS surface mass balance have improved significantly over the last decade, there is considerable disparity between the results from different methodologies that need to be addressed. In this study, an Ensemble Batch Smoother data assimilation approach was developed to assess the feasibility of generating a reanalysis estimate of the GrIS surface mass fluxes via integrating remotely sensed ice surface temperature measurements with a regional climate model (a priori) estimate. The performance of the proposed methodology for generating an improved posterior estimate was investigated within an observing system simulation experiment (OSSE) framework using synthetically generated ice surface temperature measurements. The results showed that assimilation of ice surface temperature time series were able to overcome uncertainties in near-surface meteorological forcing variables that drive the GrIS surface processes. Our findings show that the proposed methodology is able to generate posterior reanalysis estimates of the surface mass fluxes that are in good agreement with the synthetic true estimates. The results also showed that the proposed data assimilation framework improves the root-mean-square-error (RMSE) of the posterior estimates of runoff, sublimation/evaporation, surface condensation and surface mass loss fluxes by 61, 64, 76, and 62 % respectively over the nominal a priori climate model estimates. © Author(s) 2015.
学科领域	climate modeling; data assimilation; error correction; estimation method; ice sheet; remote sensing; sea level change; simulation; surface temperature; uncertainty analysis; Arctic; Greenland; Greenland Ice Sheet
语种	英语
scopus关键词	climate modeling; data assimilation; error correction; estimation method; ice sheet; remote sensing; sea level change; simulation; surface temperature; uncertainty analysis; Arctic; Greenland; Greenland Ice Sheet
来源期刊	Cryosphere Discussions
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119883
作者单位	Department of Civil and Environmental Engineering, University of California Los Angeles, Los Angeles, CA, United States; Department of Civil and Environmental Engineering, Water Resources Research Centre, University of Hawaii at ManoaHI, United States; Department of Earth and Atmospheric Sciences, City College of New York, New York, NY, United States; Graduate Center of the City University of New York, New York, NY, United States; Department of Geography, University of Liège, Liège, Belgium
推荐引用方式 GB/T 7714	Navari M.,Margulis S.A.,Bateni S.M.,et al. Improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures[J],2015,9(3).
APA	Navari M.,Margulis S.A.,Bateni S.M.,Tedesco M.,Alexander P.,&Fettweis X..(2015).Improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures.Cryosphere Discussions,9(3).
MLA	Navari M.,et al."Improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures".Cryosphere Discussions 9.3(2015).