Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4473-2018
https://doi.org/10.5194/hess-22-4473-2018
Research article
 | Highlight paper
 | 
22 Aug 2018
Research article | Highlight paper |  | 22 Aug 2018

Estimating time-dependent vegetation biases in the SMAP soil moisture product

Simon Zwieback, Andreas Colliander, Michael H. Cosh, José Martínez-Fernández, Heather McNairn, Patrick J. Starks, Marc Thibeault, and Aaron Berg

Related authors

Patterns and rates of soil movement and shallow failures across several small watersheds on the Seward Peninsula, Alaska
Joanmarie Del Vecchio, Emma R. Lathrop, Julian B. Dann, Christian G. Andresen, Adam D. Collins, Michael M. Fratkin, Simon Zwieback, Rachel C. Glade, and Joel C. Rowland
Earth Surf. Dynam., 11, 227–245, https://doi.org/10.5194/esurf-11-227-2023,https://doi.org/10.5194/esurf-11-227-2023, 2023
Short summary
Accelerated mobilization of organic carbon from retrogressive thaw slumps on the northern Taymyr Peninsula
Philipp Bernhard, Simon Zwieback, and Irena Hajnsek
The Cryosphere, 16, 2819–2835, https://doi.org/10.5194/tc-16-2819-2022,https://doi.org/10.5194/tc-16-2819-2022, 2022
Short summary
Assessing volumetric change distributions and scaling relations of retrogressive thaw slumps across the Arctic
Philipp Bernhard, Simon Zwieback, Nora Bergner, and Irena Hajnsek
The Cryosphere, 16, 1–15, https://doi.org/10.5194/tc-16-1-2022,https://doi.org/10.5194/tc-16-1-2022, 2022
Short summary
Top-of-permafrost ground ice indicated by remotely sensed late-season subsidence
Simon Zwieback and Franz J. Meyer
The Cryosphere, 15, 2041–2055, https://doi.org/10.5194/tc-15-2041-2021,https://doi.org/10.5194/tc-15-2041-2021, 2021
Short summary
Linking tundra vegetation, snow, soil temperature, and permafrost
Inge Grünberg, Evan J. Wilcox, Simon Zwieback, Philip Marsh, and Julia Boike
Biogeosciences, 17, 4261–4279, https://doi.org/10.5194/bg-17-4261-2020,https://doi.org/10.5194/bg-17-4261-2020, 2020
Short summary

Related subject area

Subject: Global hydrology | Techniques and Approaches: Remote Sensing and GIS
Investigating sources of variability in closing the terrestrial water balance with remote sensing
Claire I. Michailovsky, Bert Coerver, Marloes Mul, and Graham Jewitt
Hydrol. Earth Syst. Sci., 27, 4335–4354, https://doi.org/10.5194/hess-27-4335-2023,https://doi.org/10.5194/hess-27-4335-2023, 2023
Short summary
Dynamic rainfall erosivity estimates derived from IMERG data
Robert A. Emberson
Hydrol. Earth Syst. Sci., 27, 3547–3563, https://doi.org/10.5194/hess-27-3547-2023,https://doi.org/10.5194/hess-27-3547-2023, 2023
Short summary
Benchmarking multimodel terrestrial water storage seasonal cycle against GRACE observations over major global river basins
Sadia Bibi, Tingju Zhu, Ashraf Rateb, Bridget R. Scanlon, Muhammad Aqeel Kamran, Abdelrazek Elnashar, Ali Bennour, and Ci Li
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-163,https://doi.org/10.5194/hess-2023-163, 2023
Revised manuscript accepted for HESS
Short summary
A global analysis of water storage variations from remotely sensed soil moisture and daily satellite gravimetry
Daniel Blank, Annette Eicker, Laura Jensen, and Andreas Güntner
Hydrol. Earth Syst. Sci., 27, 2413–2435, https://doi.org/10.5194/hess-27-2413-2023,https://doi.org/10.5194/hess-27-2413-2023, 2023
Short summary
Soil moisture estimates at 1 km resolution making a synergistic use of Sentinel data
Remi Madelon, Nemesio J. Rodríguez-Fernández, Hassan Bazzi, Nicolas Baghdadi, Clement Albergel, Wouter Dorigo, and Mehrez Zribi
Hydrol. Earth Syst. Sci., 27, 1221–1242, https://doi.org/10.5194/hess-27-1221-2023,https://doi.org/10.5194/hess-27-1221-2023, 2023
Short summary

Cited articles

Adegoke, J. O. and Carleton, A. M.: Relations between Soil Moisture and Satellite Vegetation Indices in the U.S. Corn Belt, J. Hydrometeorol., 3, 395–405, https://doi.org/10.1175/1525-7541(2002)003<0395:RBSMAS>2.0.CO;2, 2002. a
Al Bitar, A., Mialon, A., Kerr, Y. H., Cabot, F., Richaume, P., Jacquette, E., Quesney, A., Mahmoodi, A., Tarot, S., Parrens, M., Al-Yaari, A., Pellarin, T., Rodriguez-Fernandez, N., and Wigneron, J.-P.: The global SMOS Level 3 daily soil moisture and brightness temperature maps, Earth Syst. Sci. Data, 9, 293–315, https://doi.org/10.5194/essd-9-293-2017, 2017. a, b
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.: U.S. Climate Reference Network Soil Moisture and Temperature Observations, J. Hydrometeorol., 14, 977–988, https://doi.org/10.1175/JHM-D-12-0146.1, 2013. a
Brooks, S. P. and Gelman, A.: General Methods for Monitoring Convergence of Iterative Simulations, J. Comput. Graph. Stat., 7, 434–455, https://doi.org/10.1080/10618600.1998.10474787, 1998. a
Chan, S., Bindlish, R., O'Neill, P., Jackson, T., Njoku, E., Dunbar, S., Chaubell, J., Piepmeier, J., Yueh, S., Entekhabi, D., Colliander, A., Chen, F., Cosh, M., Caldwell, T., Walker, J., Berg, A., McNairn, H., Thibeault, M., Martínez-Fernández, J., Uldall, F., Seyfried, M., Bosch, D., Starks, P., Collins, C. H., Prueger, J., van der Velde, R., Asanuma, J., Palecki, M., Small, E., Zreda, M., Calvet, J., Crow, W., and Kerr, Y.: Development and assessment of the SMAP enhanced passive soil moisture product, Remote Sens. Environ., 204, 931–941, https://doi.org/10.1016/j.rse.2017.08.025, 2017. a, b, c
Download
Short summary
Satellite soil moisture products can provide critical information on incipient droughts and the interplay between vegetation and water availability. However, time-variant systematic errors in the soil moisture products may impede their usefulness. Using a novel statistical approach, we detect such errors (associated with changing vegetation) in the SMAP soil moisture product. The vegetation-associated biases impede drought detection and the quantification of vegetation–water interactions.