Journal cover Journal topic
Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union
Geosci. Instrum. Method. Data Syst., 2, 113-120, 2013
http://www.geosci-instrum-method-data-syst.net/2/113/2013/
doi:10.5194/gi-2-113-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
20 Feb 2013
Potential soil moisture products from the aquarius radiometer and scatterometer using an observing system simulation experiment
Y. Luo1, X. Feng2, P. Houser2, V. Anantharaj3, X. Fan4, G. De Lannoy5, X. Zhan6, and L. Dabbiru3 1I. M. Systems Group, Inc. at NOAA/NCEP/EMC, Camp Springs, MD 20746, USA
2Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USA
3Geosystems Research Institute, Mississippi State University, MS 39762, USA
4Department of Geography and Geology, Western Kentucky University, Bowling Green, KY 42101, USA
5Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium
6NOAA/NESDIS Center for Satellite Applications and Research, Camp Springs, MD 20746, USA
Abstract. Using an observing system simulation experiment (OSSE), we investigate the potential soil moisture retrieval capability of the National Aeronautics and Space Administration (NASA) Aquarius radiometer (L-band 1.413 GHz) and scatterometer (L-band, 1.260 GHz). We estimate potential errors in soil moisture retrievals and identify the sources that could cause those errors. The OSSE system includes (i) a land surface model in the NASA Land Information System, (ii) a radiative transfer and backscatter model, (iii) a realistic orbital sampling model, and (iv) an inverse soil moisture retrieval model.

We execute the OSSE over a 1000 × 2200 km2 region in the central United States, including the Red and Arkansas river basins. Spatial distributions of soil moisture retrieved from the radiometer and scatterometer are close to the synthetic truth. High root mean square errors (RMSEs) of radiometer retrievals are found over the heavily vegetated regions, while large RMSEs of scatterometer retrievals are scattered over the entire domain. The temporal variations of soil moisture are realistically captured over a sparely vegetated region with correlations 0.98 and 0.63, and RMSEs 1.28% and 8.23% vol/vol for radiometer and scatterometer, respectively. Over the densely vegetated region, soil moisture exhibits larger temporal variation than the truth, leading to correlation 0.70 and 0.67, respectively, and RMSEs 9.49% and 6.09% vol/vol respectively. The domain-averaged correlations and RMSEs suggest that radiometer is more accurate than scatterometer in retrieving soil moisture. The analysis also demonstrates that the accuracy of the retrieved soil moisture is affected by vegetation coverage and spatial aggregation.


Citation: Luo, Y., Feng, X., Houser, P., Anantharaj, V., Fan, X., De Lannoy, G., Zhan, X., and Dabbiru, L.: Potential soil moisture products from the aquarius radiometer and scatterometer using an observing system simulation experiment, Geosci. Instrum. Method. Data Syst., 2, 113-120, doi:10.5194/gi-2-113-2013, 2013.
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