气候变化领域集成服务门户(CCPortal): An improved perspective in the spatial representation of soil moisture: Potential added value of SMOS disaggregated 1 km resolution "all weather" product

CCPortal

DOI	10.5194/hess-23-255-2019
	An improved perspective in the spatial representation of soil moisture: Potential added value of SMOS disaggregated 1 km resolution "all weather" product
	Khodayar S.; Coll A.; Lopez-Baeza E.
发表日期	2019
ISSN	1027-5606
起始页码	255
结束页码	275
卷号	23 期号:1
英文摘要	This study uses the synergy of multi-resolution soil moisture (SM) satellite estimates from the Soil Moisture Ocean Salinity (SMOS) mission, a dense network of ground-based SM measurements, and a soil-vegetation- atmosphere transfer (SVAT) model, SURFEX (externalized surface), module ISBA (interactions between soil, biosphere and atmosphere), to examine the benefits of the SMOS level 4 (SMOS-L4) version 3.0, or "all weather" high-resolution soil moisture disaggregated product (SMOS-L4 3:0 ; ∼ 1 km). The added value compared to SMOS level 3 (SMOS-L3; ∼ 25 km) and SMOS level 2 (SMOS-L2; ∼ 15 km) is investigated. In situ SM observations over the Valencia anchor station (VAS; SMOS calibration and validation - Cal/Val - site in Europe) are used for comparison. The SURFEX (ISBA) model is used to simulate point-scale surface SM (SSM) and, in combination with high-quality atmospheric information data, namely from the European Centre for Medium-Range Weather Forecasts (ECMWF) and the Système d'analyse fournissant des renseignements atmosphériques à la neige (SAFRAN) meteorological analysis system, to obtain a representative SSM mapping over the VAS. The sensitivity to realistic initialization with SMOS-L4 3:0 is assessed to simulate the spatial and temporal distribution of SSM. Results demonstrate the following: (a) All SMOS products correctly capture the temporal patterns, but the spatial patterns are not accurately reproduced by the coarser resolutions, probably in relation to the contrast with point-scale in situ measurements. (b) The potential of the SMOS-L43:0 product is pointed out to adequately characterize SM spatio-Temporal variability, reflecting patterns consistent with intensive point-scale SSM samples on a daily timescale. The restricted temporal availability of this product dictated by the revisit period of the SMOS satellite compromises the averaged SSM representation for longer periods than a day. (c) A seasonal analysis points out improved consistency during December-January- February and September-October-November, in contrast to significantly worse correlations in March-April-May (in relation to the growing vegetation) and June-July-August (in relation to low SSM values < 0.1m 3 m -3 and low spatial variability). (d) The combined use of the SURFEX (ISBA) SVAT model with the SAFRAN system, initialized with SMOS-L4 3:0 1 km disaggregated data, is proven to be a suitable tool for producing regional SM maps with high accuracy, which could be used as initial conditions for model simulations, flood forecasting, crop monitoring and crop development strategies, among others. © 2019 Author(s).
语种	英语
scopus关键词	Crops; Flood control; Floods; Forestry; Quality control; Soil moisture; Vegetation; Calibration and validations; European centre for medium-range weather forecasts; Meteorological analysis; Soil moisture ocean salinities; Soil-vegetation-atmosphere transfer models; Spatial and temporal distribution; Spatial representations; Spatiotemporal variability; Weather forecasting; accuracy assessment; calibration; correlation; in situ measurement; model validation; numerical model; SMOS; soil moisture; spatial analysis; temporal distribution; timescale; Europe
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159791
作者单位	Khodayar, S., Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology, Karlsruhe, Germany, Earth Physics and Thermodynamics Department, University of Valencia, Valencia, Spain; Coll, A., Earth Physics and Thermodynamics Department, University of Valencia, Valencia, Spain; Lopez-Baeza, E., Earth Physics and Thermodynamics Department, University of Valencia, Valencia, Spain
推荐引用方式 GB/T 7714	Khodayar S.,Coll A.,Lopez-Baeza E.. An improved perspective in the spatial representation of soil moisture: Potential added value of SMOS disaggregated 1 km resolution "all weather" product[J],2019,23(1).
APA	Khodayar S.,Coll A.,&Lopez-Baeza E..(2019).An improved perspective in the spatial representation of soil moisture: Potential added value of SMOS disaggregated 1 km resolution "all weather" product.Hydrology and Earth System Sciences,23(1).
MLA	Khodayar S.,et al."An improved perspective in the spatial representation of soil moisture: Potential added value of SMOS disaggregated 1 km resolution "all weather" product".Hydrology and Earth System Sciences 23.1(2019).