DOI: 10.5194/hess-23-255-2019
论文题名: An improved perspective in the spatial representation of soil moisture: Potential added value of SMOS disaggregated 1 km resolution "all weather" product
作者: Khodayar S. ; Coll A. ; Lopez-Baeza E.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期: 1 起始页码: 255
结束页码: 275
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
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). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163075
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
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]. Hydrology and Earth System Sciences,2019-01-01,23(1)