Articles | Volume 15, issue 1
https://doi.org/10.5194/hess-15-91-2011
© Author(s) 2011. 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-15-91-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Evaluation of global continental hydrology as simulated by the Land-surface Processes and eXchanges Dynamic Global Vegetation Model
S. J. Murray
QUEST, School of Earth Sciences, Wills Memorial Building, University of Bristol, Queens Road, Bristol, BS8 1RJ, UK
P. N. Foster
QUEST, School of Earth Sciences, Wills Memorial Building, University of Bristol, Queens Road, Bristol, BS8 1RJ, UK
I. C. Prentice
QUEST, School of Earth Sciences, Wills Memorial Building, University of Bristol, Queens Road, Bristol, BS8 1RJ, UK
Department of Biological Sciences, Macquarie University, North Ryde, NSW 2109, Australia
Grantham Institute of Climate Change, and Division of Biology, Imperial College, Silwood Park, Ascot, SL5 7PY, UK
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- The use of dynamic global vegetation models for simulating hydrology and the potential integration of satellite observations S. Murray et al. 10.1177/0309133312460072
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29 citations as recorded by crossref.
- Modeling the Terrestrial Biosphere J. Fisher et al. 10.1146/annurev-environ-012913-093456
- Modeling fire and the terrestrial carbon balance I. Prentice et al. 10.1029/2010GB003906
- Vegetation plays an important role in mediating future water resources A. Ukkola et al. 10.1088/1748-9326/11/9/094022
- The use of dynamic global vegetation models for simulating hydrology and the potential integration of satellite observations S. Murray et al. 10.1177/0309133312460072
- Modifying a dynamic global vegetation model for simulating large spatial scale land surface water balances G. Tang & P. Bartlein 10.5194/hess-16-2547-2012
- A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model H. Zhou et al. 10.1002/hyp.15152
- Downscaling of soil moisture products using deep learning: Comparison and analysis on Tibetan Plateau H. Zhao et al. 10.1016/j.jhydrol.2022.127570
- Reliable, robust and realistic: the three R's of next-generation land-surface modelling I. Prentice et al. 10.5194/acp-15-5987-2015
- Transient simulations of the carbon and nitrogen dynamics in northern peatlands: from the Last Glacial Maximum to the 21st century R. Spahni et al. 10.5194/cp-9-1287-2013
- Global and regional analysis of climate and human drivers of wildfire A. Aldersley et al. 10.1016/j.scitotenv.2011.05.032
- Remote sensing and modeling fusion for investigating the ecosystem water-carbon coupling processes P. Sun et al. 10.1016/j.scitotenv.2019.134064
- Investigating the response of leaf area index to droughts in southern African vegetation using observations and model simulations S. Lawal et al. 10.5194/hess-26-2045-2022
- Can climate change cause groundwater scarcity? An estimate for Bihar B. Sharma et al. 10.1002/joc.4266
- Combination of Multiple Variables and Machine Learning for Regional Cropland Water and Carbon Fluxes Estimation: A Case Study in the Haihe River Basin M. Cheng et al. 10.3390/rs16173280
- Present and future water resources in India: Insights from satellite remote sensing and a dynamic global vegetation model S. MURRAY 10.1007/s12040-012-0264-9
- A comprehensive benchmarking system for evaluating global vegetation models D. Kelley et al. 10.5194/bg-10-3313-2013
- Trends in 20th century global rainfall interception as simulated by a dynamic global vegetation model: implications for global water resources S. Murray 10.1002/eco.1325
- Including the dynamic relationship between climatic variables and leaf area index in a hydrological model to improve streamflow prediction under a changing climate Z. Tesemma et al. 10.5194/hess-19-2821-2015
- Impact of vegetation dynamics on hydrological processes in a semi-arid basin by using a land surface-hydrology coupled model Y. Jiao et al. 10.1016/j.jhydrol.2017.05.060
- Simulating oxygen isotope ratios in tree ring cellulose using a dynamic global vegetation model S. Keel et al. 10.5194/bg-13-3869-2016
- Comparison of Different Machine Learning Approaches for Monthly Satellite-Based Soil Moisture Downscaling over Northeast China Y. Liu et al. 10.3390/rs10010031
- Analyzing the Impacts of Climate Variability and Land Surface Changes on the Annual Water–Energy Balance in the Weihe River Basin of China W. Deng et al. 10.3390/w10121792
- Comparison of two model calibration approaches and their influence on future projections under climate change in the Upper Indus Basin M. Ismail et al. 10.1007/s10584-020-02902-3
- A worldwide analysis of trends in water-balance evapotranspiration A. Ukkola & I. Prentice 10.5194/hess-17-4177-2013
- Recent Trends in the Daily Rainfall Regime in Southern West Africa F. Nkrumah et al. 10.3390/atmos10120741
- Hydrologic nonstationarity and extrapolating models to predict the future: overview of session and proceeding F. Chiew & J. Vaze 10.5194/piahs-371-17-2015
- Spatial variability and temporal trends in water‐use efficiency of European forests M. Saurer et al. 10.1111/gcb.12717
- Hydrological evaluation of the LPX dynamic global vegetation model for small river catchments in the UK A. Ukkola & S. Murray 10.1002/hyp.9735
- Future global water resources with respect to climate change and water withdrawals as estimated by a dynamic global vegetation model S. Murray et al. 10.1016/j.jhydrol.2012.02.044
1 citations as recorded by crossref.
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