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.
| Original language | English |
|---|---|
| Article number | 125176 |
| Journal | Journal of Hydrology |
| Volume | 589 |
| DOIs | |
| Publication status | Published - 2020 Oct |
Bibliographical note
Funding Information:This research was supported by Korea Environment Industry and technology Institute through Water Management Research Program, funded by Korea Ministry of Environment (grant number: 79622). Computing was supported by the resources at the NASA Center for Climate Simulation (NCCS). The GLDAS and FLDAS data were provided by NASA's Earth Science Division and distributed by the Goddard Earth Sciences (GES) Data and Information Services Center (DISC) (https://disc.gsfc.nasa.gov). The CCI SM products were made available from ESA CCI website (https://www.esa-soilmoisture-cci.org).
Funding Information:
This research was supported by Korea Environment Industry and technology Institute through Water Management Research Program, funded by Korea Ministry of Environment (grant number: 79622 ). Computing was supported by the resources at the NASA Center for Climate Simulation (NCCS). The GLDAS and FLDAS data were provided by NASA’s Earth Science Division and distributed by the Goddard Earth Sciences (GES) Data and Information Services Center (DISC) (https://disc.gsfc.nasa.gov). The CCI SM products were made available from ESA CCI website (https://www.esa-soilmoisture-cci.org).
Publisher Copyright:
© 2020 Elsevier B.V.
All Science Journal Classification (ASJC) codes
- Water Science and Technology
