干旱区生态环境知识资源中心(Arid): Monitoring soil moisture at the catchment scale - A novel approach combining antecedent precipitation index and radar-derived rainfall data

Arid

DOI	10.1016/j.jhydrol.2020.125155
	Monitoring soil moisture at the catchment scale - A novel approach combining antecedent precipitation index and radar-derived rainfall data
	Schoener, Gerhard; Stone, Mark C.
通讯作者	Schoener, G
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2020
卷号	589
英文摘要	Knowledge about soil moisture is important for event-based rainfall-runoff models but monitoring conditions at the catchment scale is not a trivial task. Soil moisture is highly variable in space and time, particularly in dry climates with seasonal and spatially heterogeneous rainfall. Point measurements are difficult to upscale, and remotely sensed (RS) data often lack in spatial or temporal resolution for local or regional studies. Longer latency periods - the time required before data becomes available - of some RS data make them less applicable to time-sensitive analyses such as flash flood forecasting. This study evaluated a novel approach for estimating catchment-scale volumetric soil moisture using an antecedent precipitation index (API) -based model. The model was trained and tested using in-situ soil moisture measurements collected during a 3-month field sampling campaign in a 142 km(2) study area in central New Mexico. The calibrated model was applied at the catchment scale to produce soil moisture grids from radar-derived rainfall estimates. Model performance, resolution and latency were compared to satellite-based soil moisture estimates. Benefits of the proposed new method include high spatial resolution (1 x 1 km or less depending on the precipitation data source) and high prediction accuracy (root mean square errors 0.014-0.018 m(3)/m(3)). Given the short latency period for radar-derived rainfall data, the method has potential for use in operational flood risk assessment and forecasting.
英文关键词	Soil moisture Semi-arid Antecedent precipitation index (API) Quantitative precipitation estimate (QPE)
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000568830400024
WOS关键词	RUNOFF ; EVAPOTRANSPIRATION ; MODEL ; VARIABILITY ; VALIDATION ; STABILITY ; NETWORK
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326253
作者单位	[Schoener, Gerhard] Southern Sandoval Cty Arroyo Flood Control Author, 1041 Commercial Dr SE, Rio Rancho, NM 87124 USA; [Stone, Mark C.] Univ New Mexico, Dept Civil Construct & Environm Engn, Albuquerque, NM 87131 USA
推荐引用方式 GB/T 7714	Schoener, Gerhard,Stone, Mark C.. Monitoring soil moisture at the catchment scale - A novel approach combining antecedent precipitation index and radar-derived rainfall data[J],2020,589.
APA	Schoener, Gerhard,&Stone, Mark C..(2020).Monitoring soil moisture at the catchment scale - A novel approach combining antecedent precipitation index and radar-derived rainfall data.JOURNAL OF HYDROLOGY,589.
MLA	Schoener, Gerhard,et al."Monitoring soil moisture at the catchment scale - A novel approach combining antecedent precipitation index and radar-derived rainfall data".JOURNAL OF HYDROLOGY 589(2020).