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

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Cited articles

Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.-C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., and Martin, E.: From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations, Hydrol. Earth Syst. Sci., 12, 1323–1337, https://doi.org/10.5194/hess-12-1323-2008, 2008.

Albergel, C., de Rosnay, P., Balsamo, G., Isaksen, L., and Munoz-Sabater, J.: Soil moisture analyses at ECMWF: evaluation using global-based in situ observations, Remote Sens. Environ., 118, 215–226, 2012.

Al Bitar, A., Leroux, D., Kerr, Y. H., Merlin, O., Richaume, P., Sahoo, A., and Wood, E. F.: Evaluation of SMOS soil moisture products over Continental US using the SCAN/SNOTEL Network, IEEE T. Geosci. Remote, 50, 1572–1586, 2012.

Bartalis, Z., Wagner, W., Naeimi, V., Hasenauer, S., Scipai, K., Bonekmap, H., Figa, J., and Anderson, C.: Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT), Hydrol. Land Surf. Stud., 34, L02401, https://doi.org/10.1029/2007GL031088, 2007.

Bell, J. E., Palecki, M. A., Baker, C. B., Collins, W. G., Lawrimore, J. H., Leeper, R. D., Hall, M. E., Kochendorfer, J., Meyers, T. P., Wilson, T., and Diamond, H. J.: US Climate Reference Network soil moisture and temperature observations, J. Hydrometeorol., 14, 977–988, 2013.