Combining satellite observations to develop a global soil moisture product for near-real-time applications

Enenkel, Markus; Reimer, Christoph; Dorigo, Wouter; Wagner, Wolfgang; Pfeil, Isabella; Parinussa, Robert; De Jeu, Richard

doi:https://doi.org/10.5194/hess-20-4191-2016

Articles | Volume 20, issue 10

https://doi.org/10.5194/hess-20-4191-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-4191-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 10

Research article

|

17 Oct 2016

Research article |

| 17 Oct 2016

Combining satellite observations to develop a global soil moisture product for near-real-time applications

Markus Enenkel, Christoph Reimer, Wouter Dorigo, Wolfgang Wagner, Isabella Pfeil, Robert Parinussa, and Richard De Jeu

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Cumulative views and downloads (calculated since 03 Nov 2015)

Month	HTML	PDF	XML	Total
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Dec 2015	20	53	2	75
Jan 2016	32	11	0	43
Feb 2016	20	15	2	37
Mar 2016	12	6	0	18
Apr 2016	6	2	0	8
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Jun 2016	6	4	0	10
Jul 2016	5	5	2	12
Aug 2016	6	5	1	12
Sep 2016	8	3	1	12
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Nov 2016	84	12	12	108
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Feb 2017	13	29	0	42
Mar 2017	24	42	2	68
Apr 2017	29	46	1	76
May 2017	33	17	2	52
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Sep 2025	81	16	2	99
Oct 2025	20	38	5	63
Nov 2025	5	1	2	8

Latest update: 07 Nov 2025

Short summary

Soil moisture is a crucial variable for a variety of applications, ranging from weather forecasting and agricultural production to the monitoring of floods and droughts. Satellite observations are particularly important in regions where no in situ measurements are available. Our study presents a method to integrate global near-real-time satellite observations from different sensors into one harmonized, daily data set. A first validation shows good results on a global scale.