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Volume 13, issue 14
Biogeosciences, 13, 4271–4277, 2016
https://doi.org/10.5194/bg-13-4271-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 13, 4271–4277, 2016
https://doi.org/10.5194/bg-13-4271-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Technical note 29 Jul 2016

Technical note | 29 Jul 2016

Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange

Joshua B. Fisher et al.

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Cited articles

Baker, I. T., Prihodko, L., Denning, A. S., Goulden, M., Miller, S., and da Rocha, H. R.: Seasonal drought stress in the Amazon: Reconciling models and observations, J. Geophys. Res., 113, G00B01, https://doi.org/10.1029/2007jg000644, 2008.
Baldocchi, D. and Ma, S.: How will land use affect air temperature in the surface boundary layer? Lessons learned from a comparative study on the energy balance of an oak savanna and annual grassland in California, USA, Tellus B, 65, 1–19, https://doi.org/10.3402/tellusb.v65i0.19994, 2013.
Fisher, J. B., Huntzinger, D. N., Schwalm, C. R., and Sitch, S.: Modeling the terrestrial biosphere, Annu. Rev. Env. Resour., 39, 91–123, 2014.
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Atmospheric models of CO2 require estimates of land CO2 fluxes at relatively high temporal resolutions because of the high rate of atmospheric mixing and wind heterogeneity. However, land CO2 fluxes are often provided at monthly time steps. Here, we describe a new dataset created from 15 global land models and 4 combined products in the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP), which we have converted from monthly to 3-hourly output.
Atmospheric models of CO2 require estimates of land CO2 fluxes at relatively high temporal...
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