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Volume 13, issue 5
Biogeosciences, 13, 1387–1408, 2016
https://doi.org/10.5194/bg-13-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 13, 1387–1408, 2016
https://doi.org/10.5194/bg-13-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 04 Mar 2016

Research article | 04 Mar 2016

Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties

Zhen Zhang et al.

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Beven, K. J. and Cloke, H. L.: Comment on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water” by Eric F. Wood et al., Water Resour. Res., 48, W01801, https://doi.org/10.1029/2011WR010982, 2012.
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Bindlish, R., Jackson, T. J., Gasiewski, A., Stankov, B., Klein, M., Cosh, M. H., Mladenova, I., Watts, C., Vivoni, E., Lakshmi, V., Bolten, J., and Keefer, T.: Aircraft based soil moisture retrievals under mixed vegetation and topographic conditions, Remote Sens. Environ., 112, 375–390, 2008.
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This study investigates improvements and uncertainties associated with estimating global inundated area and wetland CH4 emissions using TOPMODEL. Different topographic information and catchment aggregation schemes are evaluated against seasonal and permanently inundated wetland observations. Reducing uncertainty in prognostic wetland dynamics modeling must take into account forcing data as well as topographic scaling schemes.
This study investigates improvements and uncertainties associated with estimating global...
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