{"title":"Variational Assimilation of the SMAP Surface Soil Moisture Retrievals into an Integrated Urban Land Model","authors":"Ch. Meng, H. Li, J. Cui","doi":"10.3103/s1068373924060037","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Soil moisture is a key parameter in land surface modeling. In this study, a variational data assimilation algorithm was applied to an integrated urban land model (IUM) to assimilate the NASA Soil Moisture Active Passive (SMAP) mission Level-4 Soil Moisture product. The 10 cm soil moisture data observed in situ at eight sites was used for validation. A very simple analytical algorithm was developed to characterize the error weighting matrix in the cost function. The results indicated that with assimilation, the simulation results of the surface volumetric soil moisture improved in almost the whole research region as compared with the SMAP data. In most of the time periods, accuracy of simulated surface volumetric soil moisture increased. With assimilation, as compared with the observations at eight sites, the 10 cm volumetric soil moisture improved over the whole research time period.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.3103/s1068373924060037","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Soil moisture is a key parameter in land surface modeling. In this study, a variational data assimilation algorithm was applied to an integrated urban land model (IUM) to assimilate the NASA Soil Moisture Active Passive (SMAP) mission Level-4 Soil Moisture product. The 10 cm soil moisture data observed in situ at eight sites was used for validation. A very simple analytical algorithm was developed to characterize the error weighting matrix in the cost function. The results indicated that with assimilation, the simulation results of the surface volumetric soil moisture improved in almost the whole research region as compared with the SMAP data. In most of the time periods, accuracy of simulated surface volumetric soil moisture increased. With assimilation, as compared with the observations at eight sites, the 10 cm volumetric soil moisture improved over the whole research time period.
期刊介绍：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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