Towards a soil moisture drought monitoring system for South Korea SCIE SCOPUS

DC Field Value Language Jung H.C. - Kang D.-H. - Kim E. - Getirana A. - Yoon Y. - Kumar S. - Peters-lidard C.D. - Hwang E. - 2020-12-10T07:46:02Z - 2020-12-10T07:46:02Z - 2020-06-29 - 2020-10 -
dc.identifier.issn 0022-1694 -
dc.identifier.uri -
dc.description.abstract The Korea Land Data Assimilation System (KLDAS) has been established for agricultural drought (i.e. soil moisture deficit) monitoring in South Korea, running the Noah-MP land surface model within the NASA Land Information System (LIS) framework with the added value of local precipitation forcing dataset and soil texture maps. KLDAS soil moisture is benchmarked against three global products: the Global Land Data Assimilation System (GLDAS), the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS), and the European Space Agency Climate Change Initiative (ESA CCI) satellite product. The evaluation is performed using in situ measurements for 2013-2015 and one month standardized precipitation index (SPI-1) for 1982-2016, focusing on four major river basins in South Korea. The KLDAS outperforms all benchmark products in capturing soil moisture states and variability at a basin scale. Compared to GLDAS and FLDAS products, the EAS CCI product is not feasible for long term agricultural monitoring due to lower data quality for early periods (1979-1991) of soil moisture estimates. KLDAS shows that the most recent 2015 drought event leads to highest drought areas in the Han and Geum River basins in the past 35 years. This work supports KLDAS as an effective agricultural drought monitoring system to provide continuous regional high-resolution soil moisture estimates in South Korea. -
dc.description.uri 1 -
dc.language English -
dc.publisher ELSEVIER -
dc.subject SURFACE -
dc.subject PRECIPITATION -
dc.subject MODEL -
dc.subject ASSIMILATION -
dc.subject INDEXES -
dc.subject RETRIEVALS -
dc.title Towards a soil moisture drought monitoring system for South Korea -
dc.type Article -
dc.citation.title JOURNAL OF HYDROLOGY -
dc.citation.volume 589 -
dc.identifier.bibliographicCitation JOURNAL OF HYDROLOGY, v.589 -
dc.identifier.doi 10.1016/j.jhydrol.2020.125176 -
dc.identifier.scopusid 2-s2.0-85086597941 -
dc.identifier.wosid 000568830400042 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.description.isOpenAccess N -
dc.subject.keywordPlus SURFACE -
dc.subject.keywordPlus PRECIPITATION -
dc.subject.keywordPlus MODEL -
dc.subject.keywordPlus ASSIMILATION -
dc.subject.keywordPlus INDEXES -
dc.subject.keywordPlus RETRIEVALS -
dc.subject.keywordAuthor Agricultural drought -
dc.subject.keywordAuthor Soil moisture -
dc.subject.keywordAuthor Precipitation -
dc.subject.keywordAuthor Land surface model -
dc.relation.journalWebOfScienceCategory Engineering, Civil -
dc.relation.journalWebOfScienceCategory Geosciences, Multidisciplinary -
dc.relation.journalWebOfScienceCategory Water Resources -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Engineering -
dc.relation.journalResearchArea Geology -
dc.relation.journalResearchArea Water Resources -
Appears in Collections:
Ocean Research, Operations & Support Department > Korea Ocean Satellite Center > 1. Journal Articles
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