Development of Moist Singular Vectors in GRAPES-GEPS and a Preliminary Evaluation

IF 1.6 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Atmosphere-Ocean Pub Date : 2022-07-07 DOI:10.1080/07055900.2022.2092445

Jing Wang, Jing Chen, Yongzhu Liu, Juanjuan Liu, Bin Wang, Xiaoli Li, Fajing Chen, Z. Huo

{"title":"Development of Moist Singular Vectors in GRAPES-GEPS and a Preliminary Evaluation","authors":"Jing Wang, Jing Chen, Yongzhu Liu, Juanjuan Liu, Bin Wang, Xiaoli Li, Fajing Chen, Z. Huo","doi":"10.1080/07055900.2022.2092445","DOIUrl":null,"url":null,"abstract":"ABSTRACT In this study, moist singular vector (MSV) was developed based on GRAPES-GEPS (Global/Regional Assimilation and Prediction System – Global Ensemble Prediction System), the adjoint model of large-scale condensation and cumulus deep convection in GRAPES-4DVar (Four-dimensional variational assimilation). Five consecutive days of numerical experiments were performed for a preliminary evaluation of MSV. The singular values, horizontal distribution structure, spread of MSVs perturbation and its influence on the ensemble prediction were compared for each group of tests. The results showed that in the middle and high latitudes of the northern and southern hemispheres, the addition of both linearized moist physical processes increased the spread of the mid- and low-level SVs, but the linearized large-scale condensation (LC) process plays a leading role in the structure of MSV. The analysis of ensemble forecast shows the inclusion of moist linearized physical processes led to a greater effect of MSV on the rainfall levels of 10 and 25 mm and a slight improvement in anomaly correlation coefficient (ACC) of the atmospheric circulation field, and more obvious improvement due to linearized large-scale condensation. In the future, continuous multi-year testing and tropical-specific analyses are required for operation.","PeriodicalId":55434,"journal":{"name":"Atmosphere-Ocean","volume":"61 1","pages":"57 - 67"},"PeriodicalIF":1.6000,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmosphere-Ocean","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/07055900.2022.2092445","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

ABSTRACT In this study, moist singular vector (MSV) was developed based on GRAPES-GEPS (Global/Regional Assimilation and Prediction System – Global Ensemble Prediction System), the adjoint model of large-scale condensation and cumulus deep convection in GRAPES-4DVar (Four-dimensional variational assimilation). Five consecutive days of numerical experiments were performed for a preliminary evaluation of MSV. The singular values, horizontal distribution structure, spread of MSVs perturbation and its influence on the ensemble prediction were compared for each group of tests. The results showed that in the middle and high latitudes of the northern and southern hemispheres, the addition of both linearized moist physical processes increased the spread of the mid- and low-level SVs, but the linearized large-scale condensation (LC) process plays a leading role in the structure of MSV. The analysis of ensemble forecast shows the inclusion of moist linearized physical processes led to a greater effect of MSV on the rainfall levels of 10 and 25 mm and a slight improvement in anomaly correlation coefficient (ACC) of the atmospheric circulation field, and more obvious improvement due to linearized large-scale condensation. In the future, continuous multi-year testing and tropical-specific analyses are required for operation.

查看原文本刊更多论文

GRAPES-GEPS中潮湿奇异矢量的发展及其初步评价

摘要本研究基于GRAPES-4DVar（四维变分同化）中大规模凝结和积云深对流的伴随模型GRAPES-GEPS（全球/区域同化和预测系统-全球集合预测系统），开发了湿奇异矢量（MSV）。为了对MSV进行初步评估，进行了连续五天的数值实验。比较了每组测试的奇异值、水平分布结构、MSVs扰动的扩展及其对系综预测的影响。结果表明，在南北半球的中高纬度地区，两个线性化湿物理过程的加入都增加了中、低层SV的扩散，但线性化大尺度凝聚（LC）过程在MSV的结构中起主导作用。综合预报的分析表明，包括潮湿线性化物理过程导致MSV对10和25的降雨量水平产生更大的影响毫米，大气环流场的异常相关系数（ACC）略有改善，由于线性化的大规模凝结，改善更为明显。未来，需要持续多年的测试和针对热带地区的分析才能投入使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Atmosphere-Ocean 地学-海洋学

CiteScore

2.50

自引率

16.70%

发文量

审稿时长

>12 weeks

期刊介绍： Atmosphere-Ocean is the principal scientific journal of the Canadian Meteorological and Oceanographic Society (CMOS). It contains results of original research, survey articles, notes and comments on published papers in all fields of the atmospheric, oceanographic and hydrological sciences. Arctic, coastal and mid- to high-latitude regions are areas of particular interest. Applied or fundamental research contributions in English or French on the following topics are welcomed: climate and climatology; observation technology, remote sensing; forecasting, modelling, numerical methods; physics, dynamics, chemistry, biogeochemistry; boundary layers, pollution, aerosols; circulation, cloud physics, hydrology, air-sea interactions; waves, ice, energy exchange and related environmental topics.