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Evaluation of the Antarctic Mesoscale Prediction System Based on Snow Accumulation Observations over the Ross Ice Shelf
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作者 Yihui LIU Yetang WANG +3 位作者 Minghu DING Weijun SUN Tong ZHANG yuetong xu 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2017年第5期587-598,共12页
Recent snow height measurements(2008–15) from nine automatic weather stations(AWSs) on the Ross Ice Shelf are used to examine the synoptic and seasonal variability in snow accumulation,and also to evaluate the perfor... Recent snow height measurements(2008–15) from nine automatic weather stations(AWSs) on the Ross Ice Shelf are used to examine the synoptic and seasonal variability in snow accumulation,and also to evaluate the performance of the Antarctic Mesoscale Prediction System(AMPS) for precipitation. The number of snow accumulation events varies from one station to another between 2008 and 2015,thus demonstrating geographic dependence. The interannual variability in snow accumulation is too high to determine its seasonality based on the current AWS observations with limited time coverage.Comparison between the AMPS and AWS snow height measurements show that approximately 28% of the AWS events are reproduced by AMPS. Furthermore,there are significant correlations between AMPS and AWS coincident event sizes at five stations(p < 0.05). This finding suggests that AMPS has a certain ability to represent actual precipitation events. 展开更多
关键词 snow accumulation measurements precipitation evaluation Ross Ice Shelf
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MODAS:exploring maize germplasm with multi-omics data association studies
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作者 Songyu Liu Feng xu +5 位作者 yuetong xu Qian Wang Jun Yan Jinyu Wang Xianbing Wang Xiangfeng Wang 《Science Bulletin》 SCIE EI CSCD 2022年第9期903-906,M0003,共5页
Exploiting crop germplasm with multi-omics data can greatly enhance the power of gene discovery and interpret the genetic relations of genes.Here,we present MODAS(Multi-Omics Data Association Studies)software,freely a... Exploiting crop germplasm with multi-omics data can greatly enhance the power of gene discovery and interpret the genetic relations of genes.Here,we present MODAS(Multi-Omics Data Association Studies)software,freely available at https://modasbio.github.io/,to cope with high dimensional,noisy,and heterogeneous features typical of multi-omics data with advanced machine learning and statistical methods.MODAS features four analytical modules with extraordinary computing efficiency(Fig.S1 online). 展开更多
关键词 MODAS methods. 关联分析
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