Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박선기 | * |
dc.contributor.author | 오승민 | * |
dc.date.accessioned | 2023-01-04T16:31:04Z | - |
dc.date.available | 2023-01-04T16:31:04Z | - |
dc.date.issued | 2022 | * |
dc.identifier.issn | 2052-4463 | * |
dc.identifier.other | OAK-32629 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/262960 | - |
dc.description.abstract | Machine learning (ML) has emerged as a novel tool for generating large-scale land surface data in recent years. ML can learn the relationship between input and target, e.g. meteorological variables and in-situ soil moisture, and then estimate soil moisture across space and time, independently of prior physics-based knowledge. Here we develop a high-resolution (0.1 degrees) daily soil moisture dataset in Europe (SoMo.ml-EU) using Long Short-Term Memory trained with in-situ measurements. The resulting dataset covers three vertical layers and the period 2003-2020. Compared to its previous version with a lower spatial resolution (0.25 degrees), it shows a closer agreement with independent in-situ data in terms of temporal variation, demonstrating the enhanced usefulness of in-situ observations when processed jointly with high-resolution meteorological data. Regional comparison with other gridded datasets also demonstrates the ability of SoMo.ml-EU in describing the variability of soil moisture, including drought conditions. As a result, our new dataset will benefit regional studies requiring high-resolution observation-based soil moisture, such as hydrological and agricultural analyses. | * |
dc.language | English | * |
dc.publisher | NATURE PORTFOLIO | * |
dc.title | High-resolution European daily soil moisture derived with machine learning (2003-2020) | * |
dc.type | Article | * |
dc.type | Data Paper | * |
dc.relation.issue | 1 | * |
dc.relation.volume | 9 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | SCIENTIFIC DATA | * |
dc.identifier.doi | 10.1038/s41597-022-01785-6 | * |
dc.identifier.wosid | WOS:000883388900003 | * |
dc.author.google | Sungmin, O. | * |
dc.author.google | Orth, Rene | * |
dc.author.google | Weber, Ulrich | * |
dc.author.google | Park, Seon Ki | * |
dc.contributor.scopusid | 박선기(7501828935) | * |
dc.contributor.scopusid | 오승민(57217588426) | * |
dc.date.modifydate | 20240322114032 | * |