气候变化领域集成服务门户(CCPortal): A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data

CCPortal

DOI	10.1029/2020GL089829
	A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data
	Sheikholeslami R.; Razavi S.
发表日期	2020
ISSN	0094-8276
卷号	47 期号:20
英文摘要	Sensitivity analysis in Earth and environmental systems modeling typically demands an onerous computational cost. This issue coexists with the reliance of these algorithms on ad hoc designs of experiments, which hampers making the most out of the existing data sets. We tackle this problem by introducing a method for sensitivity analysis, based on the theory of variogram analysis of response surfaces (VARS), that works on any sample of input-output data or pre-computed model evaluations. Called data-driven VARS (D-VARS), this method characterizes the relationship strength between inputs and outputs by investigating their covariograms. We also propose a method to assess “robustness” of the results against sampling variability and numerical methods' imperfectness. Using two hydrologic modeling case studies, we show that D-VARS is highly efficient and statistically robust, even when the sample size is small. Therefore, D-VARS can provide unique opportunities to investigate geophysical systems whose models are computationally expensive or available data is scarce. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	Computation theory; Geophysics; Numerical methods; Computational costs; Designs of experiments; Environmental systems modeling; Geophysical systems; Hydrologic modeling; Input-output data; Response surface; Variogram analysis; Sensitivity analysis; data set; detection method; geophysical method; hydrological modeling; measurement method; sensitivity analysis; variogram
语种	英语
来源期刊	Geophysical Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169577
作者单位	Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom; School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada; Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada; Department of Civil, Geological, and Environmental Engineering, University of Saskatchewan, Saskatoon, SK, Canada
推荐引用方式 GB/T 7714	Sheikholeslami R.,Razavi S.. A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data[J],2020,47(20).
APA	Sheikholeslami R.,&Razavi S..(2020).A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data.Geophysical Research Letters,47(20).
MLA	Sheikholeslami R.,et al."A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data".Geophysical Research Letters 47.20(2020).