Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4629-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-4629-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Technical note
| 
14 Sep 2017
Technical note |
| 14 Sep 2017
Technical note: A hydrological routing scheme for the Ecosystem Demography model (ED2+R) tested in the Tapajós River basin in the Brazilian Amazon
Fabio F. Pereira
Sustainability Science Program, Kennedy School of
Government, Harvard University, Cambridge, MA 02138, USA
now at: Department of Renewable Energy Engineering,
Federal University of Alagoas, Maceió, AL, Brazil
Sustainability Science Program, Kennedy School of
Government, Harvard University, Cambridge, MA 02138, USA
Ca' Foscari University of Venice, Venice,
Italy
now at: European Commission, DG Joint Research Centre, Ispra, Italy
Mauricio E. Arias
Sustainability Science Program, Kennedy School of
Government, Harvard University, Cambridge, MA 02138, USA
Department of Civil and Environmental Engineering,
University of South Florida, Tampa, FL 33620, USA
Eunjee Lee
Sustainability Science Program, Kennedy School of
Government, Harvard University, Cambridge, MA 02138, USA
now at: Goddard Earth Sciences Technology and
Research, Universities Space Research Association, Columbia, MD 21046, USA
current address: Global Modeling and Assimilation Office, NASA Goddard Space
Flight Center, Greenbelt, MD 22071, USA
John Briscoe
Sustainability Science Program, Kennedy School of
Government, Harvard University, Cambridge, MA 02138, USA
deceased, 12 November 2014
Paul R. Moorcroft
Sustainability Science Program, Kennedy School of
Government, Harvard University, Cambridge, MA 02138, USA
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Cited
10 citations as recorded by crossref.
- The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description M. Longo et al. 10.5194/gmd-12-4309-2019
- Impacts of climate change and deforestation on hydropower planning in the Brazilian Amazon M. Arias et al. 10.1038/s41893-020-0492-y
- Modeling the effects of land cover change on sediment concentrations in a gold-mined Amazonian basin C. Abe et al. 10.1007/s10113-019-01513-8
- Developing and optimizing shrub parameters representing sagebrush (<i>Artemisia</i> spp.) ecosystems in the northern Great Basin using the Ecosystem Demography (EDv2.2) model K. Pandit et al. 10.5194/gmd-12-4585-2019
- Going local: Evaluating and regionalizing a global hydrological model’s simulation of river flows in a medium-sized East African basin C. Siderius et al. 10.1016/j.ejrh.2018.10.007
- Future Climate and Land Use Change Impacts on River Flows in the Tapajós Basin in the Brazilian Amazon F. Farinosi et al. 10.1029/2019EF001198
- Climate classification by Thornthwaite (1948) humidity index in future scenarios for Maranhão State, Brazil L. de Oliveira Aparecido et al. 10.1007/s10668-021-02082-9
- Decoupling the effects of deforestation and climate variability in the Tapajós river basin in the Brazilian Amazon M. Arias et al. 10.1002/hyp.11517
- Reducing uncertainty of high-latitude ecosystem models through identification of key parameters H. Mevenkamp et al. 10.1088/1748-9326/ace637
- To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
10 citations as recorded by crossref.
- The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description M. Longo et al. 10.5194/gmd-12-4309-2019
- Impacts of climate change and deforestation on hydropower planning in the Brazilian Amazon M. Arias et al. 10.1038/s41893-020-0492-y
- Modeling the effects of land cover change on sediment concentrations in a gold-mined Amazonian basin C. Abe et al. 10.1007/s10113-019-01513-8
- Developing and optimizing shrub parameters representing sagebrush (<i>Artemisia</i> spp.) ecosystems in the northern Great Basin using the Ecosystem Demography (EDv2.2) model K. Pandit et al. 10.5194/gmd-12-4585-2019
- Going local: Evaluating and regionalizing a global hydrological model’s simulation of river flows in a medium-sized East African basin C. Siderius et al. 10.1016/j.ejrh.2018.10.007
- Future Climate and Land Use Change Impacts on River Flows in the Tapajós Basin in the Brazilian Amazon F. Farinosi et al. 10.1029/2019EF001198
- Climate classification by Thornthwaite (1948) humidity index in future scenarios for Maranhão State, Brazil L. de Oliveira Aparecido et al. 10.1007/s10668-021-02082-9
- Decoupling the effects of deforestation and climate variability in the Tapajós river basin in the Brazilian Amazon M. Arias et al. 10.1002/hyp.11517
- Reducing uncertainty of high-latitude ecosystem models through identification of key parameters H. Mevenkamp et al. 10.1088/1748-9326/ace637
- To what extent does river routing matter in hydrological modeling? N. Cortés-Salazar et al. 10.5194/hess-27-3505-2023
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Latest update: 25 Apr 2024
Short summary
ED2 is a terrestrial biosphere model (TBM) suited for investigating combined impacts of changes in climate, atmospheric CO2, and land cover on the water cycle. In this study, we describe the integration of ED2 with a hydrological routing scheme. The resulting ED2+R model calculates the lateral propagation of surface and subsurface runoff resulting from the TBM and determines spatiotemporal patterns of river flows. We successfully evaluated the ED2+R model in the Tapajós, Brazilian Amazon.
ED2 is a terrestrial biosphere model (TBM) suited for investigating combined impacts of changes...
