How does the Spatial Scale Mismatch Between in Situ and Smos Soil Moisture Evolve Through Timescales?

The SMOS (Soil Moisture and Ocean Salinity) mission, together with other passive microwave based missions (AMSR, SMAP), provides soil moisture estimates at resolutions ranging from 30 to 55 km. These estimates are validated by direct comparison to in situ measurements that typically measure over an area of a few centimeters. There exist a spatial scale mismatch between the satellite (large support) and the in situ measurements (point support), which contributes to the differences observed. Their magnitude depends on the spatial representativeness of the in situ measurements, which varies in time and with the selected location. This communication will show how the spatial scale mismatch evolves through timescales. It is characterized by using modeled, in situ and satellite soil moisture time series. Timescales, from 0.5 to 128 days, are obtained using wavelet transforms and the spatial representativeness is assessed with a new approach that uses wavelet-based correlations (WCor).

[1]  A. Robock,et al.  Scales of temporal and spatial variability of midlatitude soil moisture , 1996 .

[2]  Chun-Hsu Su,et al.  Multi-scale analysis of bias correction of soil moisture , 2014 .

[3]  Thomas J. Jackson,et al.  Soil moisture retrieval from AMSR-E , 2003, IEEE Trans. Geosci. Remote. Sens..

[4]  A. Robock,et al.  Temporal and spatial scales of observed soil moisture variations in the extratropics , 2000 .

[5]  Konstantine P. Georgakakos,et al.  Hydroclimatology of Continental Watersheds: 2. Spatial Analyses , 1995 .

[6]  Wade T. Crow,et al.  The Impact of Local Acquisition Time on the Accuracy of Microwave Surface Soil Moisture Retrievals over the Contiguous United States , 2015, Remote. Sens..

[7]  Todd R. Ogden,et al.  Wavelet Methods for Time Series Analysis , 2002 .

[8]  Thomas R. H. Holmes,et al.  An evaluation of AMSR–E derived soil moisture over Australia , 2009 .

[9]  R. Jeu,et al.  Multisensor historical climatology of satellite‐derived global land surface moisture , 2008 .

[10]  Y H Kerr,et al.  Multi‐Timescale Analysis of the Spatial Representativeness of In Situ Soil Moisture Data within Satellite Footprints , 2018, Journal of geophysical research. Atmospheres : JGR.

[11]  C. Bretherton,et al.  Maximal Overlap Wavelet Statistical Analysis With Application to Atmospheric Turbulence , 2006 .

[12]  Eric F. Wood,et al.  High‐resolution modeling of the spatial heterogeneity of soil moisture: Applications in network design , 2015 .

[13]  A. Al Bitar,et al.  Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation , 2016 .

[14]  M. Sale,et al.  An analytical method for predicting surface soil moisture from rainfall observations , 2003 .

[15]  Arnaud Mialon,et al.  The SMOS Soil Moisture Retrieval Algorithm , 2012, IEEE Transactions on Geoscience and Remote Sensing.