Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2019.104738 |
Assessing the sensitivity of land-atmosphere coupling strength to boundary and surface layer parameters in the WRF model over Amazon | |
Wang, Chen1,2; Qian, Yun2; Duan, Qingyun3; Huang, Maoyi2; Berg, Larry K.2; Shin, Hyeyum H.4; Feng, Zhe2; Yang, Ben5; Quan, Jiping6; Hong, Songyou7; Yan, Junhua1 | |
2020-04-01 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2020 |
卷号 | 234 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA; South Korea |
英文摘要 | Modeling tools can be used to diagnose regional land-atmosphere (L-A) coupling strength in the absence of sufficient observations, but subject to uncertainties associated with parameters in model physical parameterizations. Different sensitivity analysis (SA) approaches may lead to different conclusions about the underlying sensitivities. In this study, we quantify simulation uncertainties related to parameter perturbations, and use different approaches to conduct parameter SA on the WRF model pertaining to L-A coupling strength for simulations over the Amazon region. A total of twenty parameters from the Yonsei University (YSU) planetary boundary layer (PBL) and the revised MM5 surface layer (SL) schemes were selected in this analysis. Three different SA methods, the Morris One-at-A-Time (MOAT) method, the Multivariate Adaptive Regression Splines (MARS) method, and the Sobol' method, were employed to analyze seven WRF-simulated variables and five L-A coupling metrics. Results show that 1) parameter perturbations cause large simulation uncertainties which are comparable to those in the observations; 2) three different SA methods give consistent L-A coupling strength outcomes; 3) six out of the twenty parameters contribute 80%-95% of the total variance in the metrics analyzed, and first-order effects dominate over interaction effects; 4) the twelve variables/metrics of interest show similar sensitivity patterns to the selected parameters, which is consistent across all the methods used. Physical mechanisms for how the sensitive parameters act in determining the L-A coupling strength and associated variables also are illustrated. Our results will help quantifying L-A coupling strength and establishing a basis for parameter calibration over the Amazon region. |
英文关键词 | L-A coupling strength Amazon region WRF model Model uncertainties Parameter sensitivity analysis |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000513182600015 |
WOS关键词 | GLOBAL OPTIMIZATION ; MICROPHYSICS PARAMETERIZATION ; VERTICAL DIFFUSION ; PRECIPITATION ; SIMULATION ; FLUXES ; RANGE |
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/278817 |
专题 | 地球科学 |
作者单位 | 1.Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Ec, South China Bot Garden, Guangzhou 510650, Peoples R China; 2.Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99352 USA; 3.Hohai Univ, Coll Hydrol & Water Resources, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China; 4.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA; 5.Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China; 6.China Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China; 7.Korea Inst Atmospher Predict Syst, Seoul, South Korea |
推荐引用方式 GB/T 7714 | Wang, Chen,Qian, Yun,Duan, Qingyun,et al. Assessing the sensitivity of land-atmosphere coupling strength to boundary and surface layer parameters in the WRF model over Amazon[J]. ATMOSPHERIC RESEARCH,2020,234. |
APA | Wang, Chen.,Qian, Yun.,Duan, Qingyun.,Huang, Maoyi.,Berg, Larry K..,...&Yan, Junhua.(2020).Assessing the sensitivity of land-atmosphere coupling strength to boundary and surface layer parameters in the WRF model over Amazon.ATMOSPHERIC RESEARCH,234. |
MLA | Wang, Chen,et al."Assessing the sensitivity of land-atmosphere coupling strength to boundary and surface layer parameters in the WRF model over Amazon".ATMOSPHERIC RESEARCH 234(2020). |
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