Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.668 IF 5.668
  • IF 5-year value: 6.201 IF 5-year
    6.201
  • CiteScore value: 6.13 CiteScore
    6.13
  • SNIP value: 1.633 SNIP 1.633
  • IPP value: 5.91 IPP 5.91
  • SJR value: 2.938 SJR 2.938
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 174 Scimago H
    index 174
  • h5-index value: 87 h5-index 87
Volume 15, issue 10
Atmos. Chem. Phys., 15, 5987–6005, 2015
https://doi.org/10.5194/acp-15-5987-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 15, 5987–6005, 2015
https://doi.org/10.5194/acp-15-5987-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 29 May 2015

Review article | 29 May 2015

Reliable, robust and realistic: the three R's of next-generation land-surface modelling

I. C. Prentice et al.

Related authors

A new multivariable benchmark for Last Glacial Maximum climate simulations
Sean F. Cleator, Sandy P. Harrison, Nancy K. Nichols, I. Colin Prentice, and Ian Roulstone
Clim. Past, 16, 699–712, https://doi.org/10.5194/cp-16-699-2020,https://doi.org/10.5194/cp-16-699-2020, 2020
Short summary
P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production
Benjamin D. Stocker, Han Wang, Nicholas G. Smith, Sandy P. Harrison, Trevor F. Keenan, David Sandoval, Tyler Davis, and I. Colin Prentice
Geosci. Model Dev., 13, 1545–1581, https://doi.org/10.5194/gmd-13-1545-2020,https://doi.org/10.5194/gmd-13-1545-2020, 2020
Short summary
Quantitative assessment of fire and vegetation properties in historical simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project
Stijn Hantson, Douglas I. Kelley, Almut Arneth, Sandy P. Harrison, Sally Archibald, Dominique Bachelet, Matthew Forrest, Thomas Hickler, Gitta Lasslop, Fang Li, Stephane Mangeon, Joe R. Melton, Lars Nieradzik, Sam S. Rabin, I. Colin Prentice, Tim Sheehan, Stephen Sitch, Lina Teckentrup, Apostolos Voulgarakis, and Chao Yue
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-261,https://doi.org/10.5194/gmd-2019-261, 2020
Preprint under review for GMD
Short summary
N2O changes from the Last Glacial Maximum to the preindustrial – Part II: Terrestrial N2O emissions constrain carbon-nitrogen interactions
Fortunat Joos, Renato Spahni, Benjamin D. Stocker, Sebastian Lienert, Jurek Müller, Hubertus Fischer, Jochen Schmitt, I. Colin Prentice, Bette Otto-Bliesner, and Zhengyu Liu
Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-118,https://doi.org/10.5194/bg-2019-118, 2019
Revised manuscript accepted for BG
Short summary
Climate changes in interior semi-arid Spain from the last interglacial to the late Holocene
Dongyang Wei, Penélope González-Sampériz, Graciela Gil-Romera, Sandy P. Harrison, and I. Colin Prentice
Clim. Past Discuss., https://doi.org/10.5194/cp-2019-16,https://doi.org/10.5194/cp-2019-16, 2019
Revised manuscript not accepted
Short summary

Related subject area

Subject: Biosphere Interactions | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Effects of aerosol dynamics and gas–particle conversion on dry deposition of inorganic reactive nitrogen in a temperate forest
Genki Katata, Kazuhide Matsuda, Atsuyuki Sorimachi, Mizuo Kajino, and Kentaro Takagi
Atmos. Chem. Phys., 20, 4933–4949, https://doi.org/10.5194/acp-20-4933-2020,https://doi.org/10.5194/acp-20-4933-2020, 2020
Short summary
Ozone–vegetation feedback through dry deposition and isoprene emissions in a global chemistry–carbon–climate model
Cheng Gong, Yadong Lei, Yimian Ma, Xu Yue, and Hong Liao
Atmos. Chem. Phys., 20, 3841–3857, https://doi.org/10.5194/acp-20-3841-2020,https://doi.org/10.5194/acp-20-3841-2020, 2020
Short summary
Pathway dependence of ecosystem responses in China to 1.5 °C global warming
Xu Yue, Hong Liao, Huijun Wang, Tianyi Zhang, Nadine Unger, Stephen Sitch, Zhaozhong Feng, and Jia Yang
Atmos. Chem. Phys., 20, 2353–2366, https://doi.org/10.5194/acp-20-2353-2020,https://doi.org/10.5194/acp-20-2353-2020, 2020
Short summary
A model-based analysis of foliar NOx deposition
Erin R. Delaria and Ronald C. Cohen
Atmos. Chem. Phys., 20, 2123–2141, https://doi.org/10.5194/acp-20-2123-2020,https://doi.org/10.5194/acp-20-2123-2020, 2020
Short summary
Quantifying the UK's carbon dioxide flux: an atmospheric inverse modelling approach using a regional measurement network
Emily D. White, Matthew Rigby, Mark F. Lunt, T. Luke Smallman, Edward Comyn-Platt, Alistair J. Manning, Anita L. Ganesan, Simon O'Doherty, Ann R. Stavert, Kieran Stanley, Mathew Williams, Peter Levy, Michel Ramonet, Grant L. Forster, Andrew C. Manning, and Paul I. Palmer
Atmos. Chem. Phys., 19, 4345–4365, https://doi.org/10.5194/acp-19-4345-2019,https://doi.org/10.5194/acp-19-4345-2019, 2019
Short summary

Cited articles

Abramowitz, G.: Towards a benchmark for land surface models, Geophys. Res. Lett., 32, L22702, https://doi.org/10.1029/2005GL024419, 2005.
Ahlström, A., Schurgers, G., Arneth, A., and Smith, B.: Robustness and uncertainty in terrestrial ecosystem carbon response to CMIP5 climate change projections, Environ. Res. Lett., 7, 044008, https://doi.org/10.1088/1748-9326/7/4/044008, 2012.
Ainsworth, E. A. and Long, S. P.: What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2, New Phytol., 165, 351–372, 2005.
Amenu, G. G. and Kumar, P.: A model for hydraulic redistribution incorporating coupled soil-root moisture transport, Hydrol. Earth Syst. Sci., 12, 55–74, https://doi.org/10.5194/hess-12-55-2008, 2008.
Anav, A., Friedlingstein, P., Kidston, M., Bopp, L., Ciais, P., Cox, P., Jones, C., Jung, M., Myneni, R., and Zhu, Z.: Evaluating the land and ocean components of the global carbon cycle in the CMIP5 Earth system mode, J. Climate, 26, 6801–6843, 2013.
Publications Copernicus
Download
Short summary
Land surface models (LSMs) describe how carbon and water fluxes react to environmental change. They are key component of climate models, yet they differ enormously. Many perform poorly, despite having many parameters. We outline a development strategy emphasizing robustness, reliability and realism, none of which is guaranteed by complexity alone. We propose multiple constraints, benchmarking and data assimilation, and representing unresolved processes stochastically, as tools in this endeavour.
Land surface models (LSMs) describe how carbon and water fluxes react to environmental change....
Citation