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  
The Impact of a Simple Representation of Non-Structural Carbohydrates on the Simulated Response of Tropical Forests to Drought
Simon Jones, Lucy Rowland, Peter Cox, Debbie Hemming, Andy Wiltshire, Karina Williams, Nicolas C. Parazoo, Junjie Liu, Antonio C. L. da Costa, Patrick Meir, Maurizio Mencuccini, and Anna Harper
Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-452,https://doi.org/10.5194/bg-2019-452, 2019
Manuscript under review for BG
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., 19, 13017–13035, https://doi.org/10.5194/acp-19-13017-2019,https://doi.org/10.5194/acp-19-13017-2019, 2019
Short summary
JULES-BE: representation of bioenergy crops and harvesting in the Joint UK Land Environment Simulator vn5.1
Emma W. Littleton, Anna B. Harper, Naomi E. Vaughan, Rebecca J. Oliver, Maria Carolina Duran-Rojas, and Timothy M. Lenton
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-175,https://doi.org/10.5194/gmd-2019-175, 2019
Revised manuscript under review for GMD
Short summary
Mapping the yields of lignocellulosic bioenergy crops from observations at the global scale
Wei Li, Philippe Ciais, Elke Stehfest, Detlef van Vuuren, Alexander Popp, Almut Arneth, Fulvio Di Fulvio, Jonathan Doelman, Florian Humpenöder, Anna Harper, Taejin Park, David Makowski, Petr Havlik, Michael Obersteiner, Jingmeng Wang, Andreas Krause, and Wenfeng Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-118,https://doi.org/10.5194/essd-2019-118, 2019
Revised manuscript under review for ESSD
How can the First ISLSCP Field Experiment contribute to present-day efforts 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., 12, 3207–3240, https://doi.org/10.5194/gmd-12-3207-2019,https://doi.org/10.5194/gmd-12-3207-2019, 2019
Short summary
Related subject area  
Climate and Earth System Modeling
Machine dependence and reproducibility for coupled climate simulations: the HadGEM3-GC3.1 CMIP Preindustrial simulation
Maria-Vittoria Guarino, Louise C. Sime, David Schroeder, Grenville M. S. Lister, and Rosalyn Hatcher
Geosci. Model Dev., 13, 139–154, https://doi.org/10.5194/gmd-13-139-2020,https://doi.org/10.5194/gmd-13-139-2020, 2020
Short summary
Ground subsidence effects on simulating dynamic high-latitude surface inundation under permafrost thaw using CLM5
Altug Ekici, Hanna Lee, David M. Lawrence, Sean C. Swenson, and Catherine Prigent
Geosci. Model Dev., 12, 5291–5300, https://doi.org/10.5194/gmd-12-5291-2019,https://doi.org/10.5194/gmd-12-5291-2019, 2019
Short summary
Sensitivity studies with the regional climate model COSMO-CLM 5.0 over the CORDEX Central Asia Domain
Emmanuele Russo, Ingo Kirchner, Stephan Pfahl, Martijn Schaap, and Ulrich Cubasch
Geosci. Model Dev., 12, 5229–5249, https://doi.org/10.5194/gmd-12-5229-2019,https://doi.org/10.5194/gmd-12-5229-2019, 2019
Short summary
PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate
Philip B. Holden, Neil R. Edwards, Thiago F. Rangel, Elisa B. Pereira, Giang T. Tran, and Richard D. Wilkinson
Geosci. Model Dev., 12, 5137–5155, https://doi.org/10.5194/gmd-12-5137-2019,https://doi.org/10.5194/gmd-12-5137-2019, 2019
Short summary
A regional atmosphere–ocean climate system model (CCLMv5.0clm7-NEMOv3.3-NEMOv3.6) over Europe including three marginal seas: on its stability and performance
Cristina Primo, Fanni D. Kelemen, Hendrik Feldmann, Naveed Akhtar, and Bodo Ahrens
Geosci. Model Dev., 12, 5077–5095, https://doi.org/10.5194/gmd-12-5077-2019,https://doi.org/10.5194/gmd-12-5077-2019, 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