Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2509-2024
https://doi.org/10.5194/gmd-17-2509-2024
Development and technical paper
 | 
04 Apr 2024
Development and technical paper |  | 04 Apr 2024

A new temperature–photoperiod coupled phenology module in LPJ-GUESS model v4.1: optimizing estimation of terrestrial carbon and water processes

Shouzhi Chen, Yongshuo H. Fu, Mingwei Li, Zitong Jia, Yishuo Cui, and Jing Tang

Related authors

A vegetation phenology dataset by integrating multiple sources using the Reliability Ensemble Averaging method
Yishuo Cui, Shouzhi Chen, Yufeng Gong, Mingwei Li, Zitong Jia, Yuyu Zhou, and Yongshuo H. Fu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-225,https://doi.org/10.5194/essd-2024-225, 2024
Revised manuscript under review for ESSD
Short summary
Integration of the Vegetation Phenology Module Improves Ecohydrological Simulation by the SWAT-Carbon Model
Mingwei Li, Shouzhi Chen, Fanghua Hao, Nan Wang, Zhaofei Wu, Yue Xu, Jing Zhang, Yongqiang Zhang, and Yongshuo H. Fu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-75,https://doi.org/10.5194/hess-2024-75, 2024
Revised manuscript accepted for HESS
Short summary

Related subject area

Solid Earth
Empirical modeling of tropospheric delays with uncertainty
Jungang Wang, Junping Chen, and Yize Zhang
Geosci. Model Dev., 18, 1487–1504, https://doi.org/10.5194/gmd-18-1487-2025,https://doi.org/10.5194/gmd-18-1487-2025, 2025
Short summary
CitcomSVE-3.0: a three-dimensional finite-element software package for modeling load-induced deformation and glacial isostatic adjustment for an Earth with a viscoelastic and compressible mantle
Tao Yuan, Shijie Zhong, and Geruo A
Geosci. Model Dev., 18, 1445–1461, https://doi.org/10.5194/gmd-18-1445-2025,https://doi.org/10.5194/gmd-18-1445-2025, 2025
Short summary
NSOAS24: a new global marine gravity model derived from multi-satellite sea surface slopes
Shengjun Zhang, Xu Chen, Runsheng Zhou, and Yongjun Jia
Geosci. Model Dev., 18, 1221–1239, https://doi.org/10.5194/gmd-18-1221-2025,https://doi.org/10.5194/gmd-18-1221-2025, 2025
Short summary
GEOMAPLEARN 1.2: detecting structures from geological maps with machine learning – the case of geological folds
David Oakley, Christelle Loiselet, Thierry Coowar, Vincent Labbe, and Jean-Paul Callot
Geosci. Model Dev., 18, 939–960, https://doi.org/10.5194/gmd-18-939-2025,https://doi.org/10.5194/gmd-18-939-2025, 2025
Short summary
Accelerated pseudo-transient method for elastic, viscoelastic, and coupled hydromechanical problems with applications
Yury Alkhimenkov and Yury Y. Podladchikov
Geosci. Model Dev., 18, 563–583, https://doi.org/10.5194/gmd-18-563-2025,https://doi.org/10.5194/gmd-18-563-2025, 2025
Short summary

Cited articles

Ahl, D. E., Gower, S. T., Burrows, S. N., Shabanov, N. V., Myneni, R. B., and Knyazikhin, Y.: Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS, Remote Sens. Environ., 104, 88–95, 2006. 
Ahlström, A., Xia, J., Arneth, A., Luo, Y., and Smith, B.: Importance of vegetation dynamics for future terrestrial carbon cycling, Environ. Res. Lett., 10, 054019, https://doi.org/10.1088/1748-9326/10/5/054019, 2015. 
Augspurger, C. K.: Spring 2007 warmth and frost: phenology, damage and refoliation in a temperate deciduous forest, Funct. Ecol., 23, 1031–1039, 2009. 
Badeck, F. W., Bondeau, A., Böttcher, K., Doktor, D., Lucht, W., Schaber, J., and Sitch, S.: Responses of spring phenology to climate change, New Phytol., 162, 295–309, 2004. 
Bartholome, E. and Belward, A. S.: GLC2000: a new approach to global land cover mapping from Earth observation data, Int. J. Remote Sens., 26, 1959–1977, 2005. 
Download
Short summary
It is still a challenge to achieve an accurate simulation of vegetation phenology in the dynamic...
Share