Articles | Volume 7, issue 3
https://doi.org/10.5194/gmd-7-711-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-711-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
06 May 2014
Development and technical paper |
| 06 May 2014
High-resolution hydraulic parameter maps for surface soils in tropical South America
T. R. Marthews
Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK
C. A. Quesada
Instituto Nacional de Pesquisas da Amazônia, 69060-001 Manaus, Brazil
D. R. Galbraith
School of Geography, University of Leeds, Leeds LS2 9JT, UK
Y. Malhi
Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK
C. E. Mullins
44 Leadervale Rd., Edinburgh EH16 6PA, UK
M. G. Hodnett
Higher Park, Pennymoor, Tiverton, Devon EX16 8LL, UK
I. Dharssi
Bureau of Meteorology, Melbourne 3001, Australia
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- Dry‐season decline in tree sapflux is correlated with leaf turgor loss point in a tropical rainforest I. Maréchaux et al. 10.1111/1365-2435.13188
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- Background climate conditions regulated the photosynthetic response of Amazon forests to the 2015/2016 El Nino-Southern Oscillation event M. Fancourt et al. 10.1038/s43247-022-00533-3
- Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2) A. Martínez-de la Torre et al. 10.5194/gmd-12-765-2019
- Significant feedbacks of wetland methane release on climate change and the causes of their uncertainty N. Gedney et al. 10.1088/1748-9326/ab2726
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- How drought events during the last century have impacted biomass carbon in Amazonian rainforests Y. Yao et al. 10.1111/gcb.16504
- Parameterizing the JULES land surface model for different land covers in the tropical Andes H. Chou et al. 10.1080/02626667.2022.2094709
- A global data set of soil hydraulic properties and sub-grid variability of soil water retention and hydraulic conductivity curves C. Montzka et al. 10.5194/essd-9-529-2017
- Incorporation of a dynamic root distribution into CLM4.5: Evaluation of carbon and water fluxes over the Amazon Y. Wang et al. 10.1007/s00376-016-5226-8
- Amazon forest response to CO2 fertilization dependent on plant phosphorus acquisition K. Fleischer et al. 10.1038/s41561-019-0404-9
- A Global High‐Resolution Data Set of Soil Hydraulic and Thermal Properties for Land Surface Modeling Y. Dai et al. 10.1029/2019MS001784
- Bayesian spatial modelling of soil properties and their uncertainty: The example of soil organic matter in Scotland using R-INLA L. Poggio et al. 10.1016/j.geoderma.2016.04.026
- Effect of tree demography and flexible root water uptake for modeling the carbon and water cycles of Amazonia E. Joetzjer et al. 10.1016/j.ecolmodel.2022.109969
- Low Phosphorus Availability Decreases Susceptibility of Tropical Primary Productivity to Droughts D. Goll et al. 10.1029/2018GL077736
- A soil moisture accounting-procedure with a Richards' equation-based soil texture-dependent parameterization S. Mathias et al. 10.1002/2014WR016144
- High-resolution global topographic index values for use in large-scale hydrological modelling T. Marthews et al. 10.5194/hess-19-91-2015
- Ecosystem heterogeneity and diversity mitigate Amazon forest resilience to frequent extreme droughts M. Longo et al. 10.1111/nph.15185
- Mapping of soils and land-related environmental attributes in modern agriculture systems using geomatics M. AbdelRahman et al. 10.1007/s40899-022-00704-2
- Becsült talajhidrológiai paraméterek szimulációs vizsgálata a NAIK Erdészeti Tudományos Intézet két mintaterületén Z. Kozma et al. 10.1556/0088.2019.00031
- Global Groundwater Modeling and Monitoring: Opportunities and Challenges L. Condon et al. 10.1029/2020WR029500
- Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. 10.5194/hess-25-1617-2021
- Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations E. Cooper et al. 10.5194/hess-25-2445-2021
- EFFECTS OF MEASURED SOIL PROPERTIES IN HYDROLOGICAL SIMULATION IN A HUMID TROPICAL RIVER BASIN E. YAMAMOTO et al. 10.2208/jscejhe.78.2_I_757
- Variation in stem mortality rates determines patterns of above‐ground biomass in Amazonian forests: implications for dynamic global vegetation models M. Johnson et al. 10.1111/gcb.13315
- Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics B. Szabó et al. 10.5194/hess-23-2615-2019
- Estimation and mapping of field capacity in Brazilian soils M. Turek et al. 10.1016/j.geoderma.2020.114557
- Comparison of measured brightness temperatures from SMOS with modelled ones from ORCHIDEE and H-TESSEL over the Iberian Peninsula A. Barella-Ortiz et al. 10.5194/hess-21-357-2017
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