Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Volume 9, issue 7
Geosci. Model Dev., 9, 2415-2440, 2016
https://doi.org/10.5194/gmd-9-2415-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 2415-2440, 2016
https://doi.org/10.5194/gmd-9-2415-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 22 Jul 2016

Development and technical paper | 22 Jul 2016

Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information

Anna B. Harper et al.
Related authors  
Representation of fire, land-use change and vegetation dynamics in the Joint UK Land Environment Simulator vn4.9 (JULES)
Chantelle Burton, Richard Betts, Manoel Cardoso, Ted R. Feldpausch, Anna Harper, Chris D. Jones, Douglas I. Kelley, Eddy Robertson, and Andy Wiltshire
Geosci. Model Dev., 12, 179-193, https://doi.org/10.5194/gmd-12-179-2019,https://doi.org/10.5194/gmd-12-179-2019, 2019
Short summary
On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems?
Brendan Byrne, Dylan B. A. Jones, Kimberly Strong, Saroja M. Polavarapu, Anna B. Harper, David F. Baker, and Shamil Maksyutov
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-909,https://doi.org/10.5194/acp-2018-909, 2019
Manuscript under review for ACP
Short summary
Revisiting the First ISLSCP Field Experiment to evaluate water stress in JULESv5.0
Karina E. Williams, Anna B. Harper, Chris Huntingford, Lina M. Mercado, Camilla T. Mathison, Pete D. Falloon, Peter M. Cox, and Joon Kim
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-210,https://doi.org/10.5194/gmd-2018-210, 2018
Revised manuscript accepted for GMD
Short summary
Vegetation distribution and terrestrial carbon cycle in a carbon cycle configuration of JULES4.6 with new plant functional types
Anna B. Harper, Andrew J. Wiltshire, Peter M. Cox, Pierre Friedlingstein, Chris D. Jones, Lina M. Mercado, Stephen Sitch, Karina Williams, and Carolina Duran-Rojas
Geosci. Model Dev., 11, 2857-2873, https://doi.org/10.5194/gmd-11-2857-2018,https://doi.org/10.5194/gmd-11-2857-2018, 2018
Short summary
Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites
Donghai Wu, Philippe Ciais, Nicolas Viovy, Alan K. Knapp, Kevin Wilcox, Michael Bahn, Melinda D. Smith, Sara Vicca, Simone Fatichi, Jakob Zscheischler, Yue He, Xiangyi Li, Akihiko Ito, Almut Arneth, Anna Harper, Anna Ukkola, Athanasios Paschalis, Benjamin Poulter, Changhui Peng, Daniel Ricciuto, David Reinthaler, Guangsheng Chen, Hanqin Tian, Hélène Genet, Jiafu Mao, Johannes Ingrisch, Julia E. S. M. Nabel, Julia Pongratz, Lena R. Boysen, Markus Kautz, Michael Schmitt, Patrick Meir, Qiuan Zhu, Roland Hasibeder, Sebastian Sippel, Shree R. S. Dangal, Stephen Sitch, Xiaoying Shi, Yingping Wang, Yiqi Luo, Yongwen Liu, and Shilong Piao
Biogeosciences, 15, 3421-3437, https://doi.org/10.5194/bg-15-3421-2018,https://doi.org/10.5194/bg-15-3421-2018, 2018
Short summary
Related subject area  
Climate and Earth System Modeling
The UKC3 regional coupled environmental prediction system
Huw W. Lewis, Juan Manuel Castillo Sanchez, Alex Arnold, Joachim Fallmann, Andrew Saulter, Jennifer Graham, Mike Bush, John Siddorn, Tamzin Palmer, Adrian Lock, John Edwards, Lucy Bricheno, Alberto Martínez-de la Torre, and James Clark
Geosci. Model Dev., 12, 2357-2400, https://doi.org/10.5194/gmd-12-2357-2019,https://doi.org/10.5194/gmd-12-2357-2019, 2019
Short summary
The Monash Simple Climate Model experiments (MSCM-DB v1.0): an interactive database of mean climate, climate change, and scenario simulations
Dietmar Dommenget, Kerry Nice, Tobias Bayr, Dieter Kasang, Christian Stassen, and Michael Rezny
Geosci. Model Dev., 12, 2155-2179, https://doi.org/10.5194/gmd-12-2155-2019,https://doi.org/10.5194/gmd-12-2155-2019, 2019
Short summary
Evaluation of the WRF lake module (v1.0) and its improvements at a deep reservoir
Fushan Wang, Guangheng Ni, William J. Riley, Jinyun Tang, Dejun Zhu, and Ting Sun
Geosci. Model Dev., 12, 2119-2138, https://doi.org/10.5194/gmd-12-2119-2019,https://doi.org/10.5194/gmd-12-2119-2019, 2019
Short summary
Calculating the turbulent fluxes in the atmospheric surface layer with neural networks
Lukas Hubert Leufen and Gerd Schädler
Geosci. Model Dev., 12, 2033-2047, https://doi.org/10.5194/gmd-12-2033-2019,https://doi.org/10.5194/gmd-12-2033-2019, 2019
Short summary
BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia
Chun-Hsu Su, Nathan Eizenberg, Peter Steinle, Dörte Jakob, Paul Fox-Hughes, Christopher J. White, Susan Rennie, Charmaine Franklin, Imtiaz Dharssi, and Hongyan Zhu
Geosci. Model Dev., 12, 2049-2068, https://doi.org/10.5194/gmd-12-2049-2019,https://doi.org/10.5194/gmd-12-2049-2019, 2019
Short summary
Cited articles  
Aerts, R.: The advantages of being evergreen, Trends Ecol. Evol., 10, 402–407, 1995.
Ali, A. A., Xu, C., Rogers, A., McDowell, N. G., Medlyn, B. E., Fisher, R. A., Wullschleger, S. D., Reich, P. B., Vrugt, J. A., Bauerle, W., Santiago, L. S., and Wilson, C. J.: Global scale environmental control of plant photosynthetic capacity, Ecol. Appl., 25, 2349–2365, https://doi.org/10.1890/14-2111.1, 2015.
Anav, A., Friedlingstein, F., Kidston, M., Bopp, L., Ciais, P., Cox, P. M., Jones, C. D., Jung, M., Myneni, R., and Zhu, Z.: Evaluating the land and ocean components of the global carbon cycle in the CMIP5 earth system models, J. Climate, 26, 6801–6843, https://doi.org/10.1175/JCLI-D-12-00417.1, 2013.
Arora, V., Boer, G., Friedlingstein, P., Eby, M., Jones, C., Christian, J., Bonan, G., Bopp, L., Brovkin, V., Cadule, P., Hajima, T., Ilyina, T., Lindsay, K., Tjiputra, J., and Wu, T.: Carbon-concentration and carbon-climate feedbacks in CMIP5 Earth system models, J. Climate, 26, 5289–5314, https://doi.org/10.1175/JCLI-D-12-00494.1, 2013.
Atkin, O. K., Evans, J. R., Ball, M. C., and Lambers, H.: Leaf respiration of snow gum in the light and dark. Interactions between temperature and irradiance, Plant Physiol., 122, 915–923, 2000.
Publications Copernicus
Download
Short summary
Dynamic global vegetation models (DGVMs) are used to predict the response of vegetation to climate change. We improved the representation of carbon uptake by ecosystems in a DGVM by including a wider range of trade-offs between nutrient allocation to photosynthetic capacity and leaf structure, based on observed plant traits from a worldwide data base. The improved model has higher rates of photosynthesis and net C uptake by plants, and more closely matches observations at site and global scales.
Dynamic global vegetation models (DGVMs) are used to predict the response of vegetation to...
Citation