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Validation and assessment of SPoRT-LIS surface soil moisture estimates for water resources management applications

Title data

McDonough, Kelsey ; Hutchinson, Stacy ; Hutchinson, J. M. Shawn ; Case, Jonathan ; Rahmani, Vahid:
Validation and assessment of SPoRT-LIS surface soil moisture estimates for water resources management applications.
In: Journal of Hydrology. Vol. 566 (2018) . - pp. 43-54.
ISSN 0022-1694
DOI: https://doi.org/10.1016/j.jhydrol.2018.09.007

Abstract in another language

Evaluation of surface soil moisture is necessary to understand spatiotemporal soil moisture trends and their implications on water resources management. This research evaluated a real-time instantiation of NASA’s Land Information System (LIS) for water resources management applications at a higher spatial and temporal resolution than is currently available with remotely-sensed satellite estimates or in situ measurements of the same product. Managed by NASA’s Short-term Prediction Research and Transition (SPoRT) Center, the “SPoRT-LIS” is an observation-driven, real-time simulation of the Noah land surface model at a 3-km resolution over the full continental United States. Surface soil moisture estimates from SPoRT-LIS (0–10 cm layer) were validated against in situ soil moisture from the International Soil Moisture Network in the Missouri and Arkansas-Red-White River Basins. Validation was conducted at in situ measurement depths of 5-cm and 10-cm, and performance was evaluated across varying soil types, land cover, depth, slope, aspect, and pixel heterogeneity to determine conditions under which SPoRT-LIS surface soil moisture had excellent estimation capability. Results demonstrate that 53% of data at a depth of 5-cm and 51% of the data at a depth of 10-cm were significantly correlated with a Spearman’s ρ greater than 0.5 on a daily basis. Based upon validation results, it is evident that the SPoRT-LIS surface soil moisture estimate is satisfactory for research and operational water resources management applications.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professorship Ecological Services
Profile Fields > Advanced Fields > Ecology and the Environmental Sciences
Result of work at the UBT: No
DDC Subjects: 500 Science > 500 Natural sciences
Date Deposited: 22 Feb 2019 08:29
Last Modified: 22 Feb 2019 08:29
URI: https://eref.uni-bayreuth.de/id/eprint/47501