Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS

Tobin, Kenneth J.; Torres, Roberto; Crow, Wade T.; Bennett, Marvin E.

doi:https://doi.org/10.5194/hess-21-4403-2017

Articles | Volume 21, issue 9

https://doi.org/10.5194/hess-21-4403-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-4403-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 9

Research article

|

07 Sep 2017

Research article |

| 07 Sep 2017

Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS

Kenneth J. Tobin, Roberto Torres, Wade T. Crow, and Marvin E. Bennett

Data sets

Trend-preserving blending of passive and active microwave soil moisture retrievals Y. Y. Liu, W. A. Dorigo, R. M. Parinussa, R. A. M. de Jeu, W. Wagner, M. F. McCabe, J. P. Evans, and A. I. J. M. van Dijk https://doi.org/10.1016/j.rse.2012.03.014

ESA CCI SM v03.2 ESA http://www.esa-soilmoisture-cci.org/node/145

Multisensor historical climatology of satellite-derived global land surface moisture M. Owe, R. A. M. De Jeu, and T. R. H. Holmes https://doi.org/10.1029/2007JF000769

Data from the AMSR-E mission (Eras 2–4) Land Parameter Retrieval Model (LPRM) https://hydro1.gesdisc.eosdis.nasa.gov/data/WAOB/

Short summary

This study applied the exponential filter to produce an estimate of root-zone soil moisture at 20 to 25 cm depths. Four types of microwave, surface satellite soil moisture were used. The study focused on the continental United States, and in situ data were used from the International Soil Moisture Network for comparison. This study spans almost two decades (1997 to 2014). Root mean square error was close to 0.04, which is the baseline value for accuracy designated for many satellite missions.