Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Volume 10, issue 12 | Copyright
Geosci. Model Dev., 10, 4307-4319, 2017
https://doi.org/10.5194/gmd-10-4307-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model evaluation paper 29 Nov 2017

Model evaluation paper | 29 Nov 2017

Evaluation of integrated assessment model hindcast experiments: a case study of the GCAM 3.0 land use module

Abigail C. Snyder et al.
Related authors
A crop yield change emulator for use in GCAM and similar models: Persephone v1.0
Abigail Snyder, Katherine V. Calvin, Meridel Phillips, and Alex C. Ruane
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-195,https://doi.org/10.5194/gmd-2018-195, 2018
Manuscript under review for GMD
Computationally Efficient Emulators for Earth System Models
Robert Link, Cary Lynch, Abigail Snyder, Corinne Hartin, Ben Kravitz, and Ben Bond-Lamberty
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-60,https://doi.org/10.5194/gmd-2018-60, 2018
Revised manuscript under review for GMD
Related subject area
Biogeosciences
GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes
Yilong Wang, Philippe Ciais, Daniel Goll, Yuanyuan Huang, Yiqi Luo, Ying-Ping Wang, A. Anthony Bloom, Grégoire Broquet, Jens Hartmann, Shushi Peng, Josep Penuelas, Shilong Piao, Jordi Sardans, Benjamin D. Stocker, Rong Wang, Sönke Zaehle, and Sophie Zechmeister-Boltenstern
Geosci. Model Dev., 11, 3903-3928, https://doi.org/10.5194/gmd-11-3903-2018,https://doi.org/10.5194/gmd-11-3903-2018, 2018
Parameter calibration in global soil carbon models using surrogate-based optimization
Haoyu Xu, Tao Zhang, Yiqi Luo, Xin Huang, and Wei Xue
Geosci. Model Dev., 11, 3027-3044, https://doi.org/10.5194/gmd-11-3027-2018,https://doi.org/10.5194/gmd-11-3027-2018, 2018
Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0)
Werner von Bloh, Sibyll Schaphoff, Christoph Müller, Susanne Rolinski, Katharina Waha, and Sönke Zaehle
Geosci. Model Dev., 11, 2789-2812, https://doi.org/10.5194/gmd-11-2789-2018,https://doi.org/10.5194/gmd-11-2789-2018, 2018
A protocol for an intercomparison of biodiversity and ecosystem services models using harmonized land-use and climate scenarios
HyeJin Kim, Isabel M. D. Rosa, Rob Alkemade, Paul Leadley, George Hurtt, Alexander Popp, Detlef P van Vuuren, Peter Anthoni, Almut Arneth, Daniele Baisero, Emma Caton, Rebecca Chaplin-Kramer, Louise Chini, Adriana De Palma, Fulvio Di Fulvio, Moreno Di Marco, Felipe Espinoza, Simon Ferrier, Shinichiro Fujimori, Ricardo E. Gonzalez, Maya Gueguen, Carlos Guerra, Mike Harfoot, Thomas D. Harwood, Tomoko Hasegawa, Vanessa Haverd, Petr Havlík, Stefanie Hellweg, Samantha L. L. Hill, Akiko Hirata, Andrew J. Hoskins, Jan H. Janse, Walter Jetz, Justin A. Johnson, Andreas Krause, David Leclère, Ines S. Martins, Tetsuya Matsui, Cory Merow, Michael Obersteiner, Haruka Ohashi, Benjamin Poulter, Andy Purvis, Benjamin Quesada, Carlo Rondinini, Aafke Schipper, Richard Sharp, Kiyoshi Takahashi, Wilfried Thuiller, Nicolas Titeux, Piero Visconti, Christopher Ware, Florian Wolf, and Henrique M. Pereira
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-115,https://doi.org/10.5194/gmd-2018-115, 2018
Revised manuscript accepted for GMD
ORCHIMIC (v1.0), a microbe-mediated model for soil organic matter decomposition
Ye Huang, Bertrand Guenet, Philippe Ciais, Ivan A. Janssens, Jennifer L. Soong, Yilong Wang, Daniel Goll, Evgenia Blagodatskaya, and Yuanyuan Huang
Geosci. Model Dev., 11, 2111-2138, https://doi.org/10.5194/gmd-11-2111-2018,https://doi.org/10.5194/gmd-11-2111-2018, 2018
Cited articles
Baldos, U. L. C. and Hertel, T. W.: Looking back to move forward on model validation: insights from a global model of agricultural land use, Environ. Res. Lett., 8, 034024, https://doi.org/10.1088/1748-9326/8/3/034024, 2013.
Beckman, J., Hertel, T., and Tyner, W.: Validating energy-oriented CGE models, Energ. Econ., 33, 799–806, 2011.
Calvin, K., Wise, M., Kyle, P., Clarke, L., and Edmonds, J.: A Hindcast Experiment Using the GCAM 3.0 Agriculture and Land-use Module, Climate Change Economics, 8, 1750005, https://doi.org/10.1142/S2010007817500051, 2017.
Clarke, L., Lurz, J., Wise, M., Edmonds, J., Kim, S., Smith, S., and Pitcher, H.: Model documentation for the minicam climate change science program stabilization scenarios: Ccsp product 2.1 a, Pacific Northwest National Laboratory, PNNL-16735, 2007.
Publications Copernicus
Download
Short summary
Experiments conducting a model forecast for a period in which observational data are available are rarely undertaken in the integrated assessment model (IAM) community. When undertaken, results are often evaluated using global aggregates that mask deficiencies. Comparing land allocation simulations in GCAM with FAO observational data from 1990 to 2010, we find quantitative evidence that global aggregates alone are not sufficient for evaluating IAMs with global supply constraints similar to GCAM.
Experiments conducting a model forecast for a period in which observational data are available...
Citation
Share