研究目的
To present recent improvements in the SMOS-IC retrieval algorithm and recent applications using the soil moisture or VOD retrievals from the SMOS-IC data set.
研究成果
The SMOS-IC data set is very well suited for applications due to its accuracy in terms of both SM and VOD data and its independence of auxiliary data. It has been validated through various inter-comparison analyses and is useful for monitoring carbon stocks, vegetation water content, and soil moisture in link with climate modelling.
研究不足
The algorithm considers pixels as homogeneous and does not use modelled ECMWF SM data nor vegetation data estimated from optical observations. It only uses ECMWF temperature fields to compute the effective surface temperature.
1：Experimental Design and Method Selection:
The SMOS-IC algorithm corresponds to a two-parameter inversion of the L-MEB model (L-band Microwave Emission of the Biosphere) with minimal use of ancillary data and optimal use of space-borne observations.
2：Sample Selection and Data Sources:
Uses SMOS observations and considers pixels as homogeneous.
3：List of Experimental Equipment and Materials:
SMOS satellite data.
4：Experimental Procedures and Operational Workflow:
Simple and efficient filtering methods are used, and processing is very fast.
5：Data Analysis Methods:
Evaluation based on ISMN in situ networks, modelled ECMWF SM data, new in situ SM networks in Brazil, core SMAP SM cal-val sites, and spatial correlation between L-VOD and above-ground biomass data.
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