Articles | Volume 7, issue 6
https://doi.org/10.5194/gmd-7-2917-2014
https://doi.org/10.5194/gmd-7-2917-2014
Model description paper
 | 
10 Dec 2014
Model description paper |  | 10 Dec 2014

Coupling the high-complexity land surface model ACASA to the mesoscale model WRF

L. Xu, R. D. Pyles, K. T. Paw U, S. H. Chen, and E. Monier

Related authors

A novel assessment of the vertical velocity correction for non-orthogonal sonic anemometers
Kyaw Tha Paw U, Mary Rose Mangan, Jilmarie Stephens, Kosana Suvočarev, Jenae' Clay, Olmo Guerrero Medina, Emma Ware, Amanda Kerr-Munslow, James McGregor, John Kochendorfer, Megan McAuliffe, and Megan Metz
Atmos. Meas. Tech., 18, 1485–1497, https://doi.org/10.5194/amt-18-1485-2025,https://doi.org/10.5194/amt-18-1485-2025, 2025
Short summary
A Flexible ROMS-based Hybrid Coupled Model for ENSO Studies–Model Formulation and Performance Evaluation
Yang Yu, Yin-Nan Li, Rong-Hua Zhang, Shu-Hua Chen, Yu-Heng Tseng, Wenzhe Zhang, and Hongna Wang
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-187,https://doi.org/10.5194/gmd-2024-187, 2024
Revised manuscript accepted for GMD
Short summary
Uncertainty caused by resistances in evapotranspiration
Wen Li Zhao, Yu Jiu Xiong, Kyaw Tha Paw U, Pierre Gentine, Baoyu Chen, and Guo Yu Qiu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-160,https://doi.org/10.5194/hess-2019-160, 2019
Manuscript not accepted for further review
Short summary
Estimates of climate system properties incorporating recent climate change
Alex G. Libardoni, Chris E. Forest, Andrei P. Sokolov, and Erwan Monier
Adv. Stat. Clim. Meteorol. Oceanogr., 4, 19–36, https://doi.org/10.5194/ascmo-4-19-2018,https://doi.org/10.5194/ascmo-4-19-2018, 2018
Short summary
Baseline evaluation of the impact of updates to the MIT Earth System Model on its model parameter estimates
Alex G. Libardoni, Chris E. Forest, Andrei P. Sokolov, and Erwan Monier
Geosci. Model Dev., 11, 3313–3325, https://doi.org/10.5194/gmd-11-3313-2018,https://doi.org/10.5194/gmd-11-3313-2018, 2018
Short summary

Related subject area

Atmospheric sciences
Tuning the ICON-A 2.6.4 climate model with machine-learning-based emulators and history matching
Pauline Bonnet, Lorenzo Pastori, Mierk Schwabe, Marco Giorgetta, Fernando Iglesias-Suarez, and Veronika Eyring
Geosci. Model Dev., 18, 3681–3706, https://doi.org/10.5194/gmd-18-3681-2025,https://doi.org/10.5194/gmd-18-3681-2025, 2025
Short summary
A novel method for quantifying the contribution of regional transport to PM2.5 in Beijing (2013–2020): combining machine learning with concentration-weighted trajectory analysis
Kang Hu, Hong Liao, Dantong Liu, Jianbing Jin, Lei Chen, Siyuan Li, Yangzhou Wu, Changhao Wu, Shitong Zhao, Xiaotong Jiang, Ping Tian, Kai Bi, Ye Wang, and Delong Zhao
Geosci. Model Dev., 18, 3623–3634, https://doi.org/10.5194/gmd-18-3623-2025,https://doi.org/10.5194/gmd-18-3623-2025, 2025
Short summary
Quantification of CO2 hotspot emissions from OCO-3 SAM CO2 satellite images using deep learning methods
Joffrey Dumont Le Brazidec, Pierre Vanderbecken, Alban Farchi, Grégoire Broquet, Gerrit Kuhlmann, and Marc Bocquet
Geosci. Model Dev., 18, 3607–3622, https://doi.org/10.5194/gmd-18-3607-2025,https://doi.org/10.5194/gmd-18-3607-2025, 2025
Short summary
Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data
Wonbae Bang, Jacob T. Carlin, Kwonil Kim, Alexander V. Ryzhkov, Guosheng Liu, and GyuWon Lee
Geosci. Model Dev., 18, 3559–3581, https://doi.org/10.5194/gmd-18-3559-2025,https://doi.org/10.5194/gmd-18-3559-2025, 2025
Short summary
Improving winter condition simulations in SURFEX-TEB v9.0 with a multi-layer snow model and ice
Gabriel Colas, Valéry Masson, François Bouttier, Ludovic Bouilloud, Laura Pavan, and Virve Karsisto
Geosci. Model Dev., 18, 3453–3472, https://doi.org/10.5194/gmd-18-3453-2025,https://doi.org/10.5194/gmd-18-3453-2025, 2025
Short summary

Cited articles

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 Models, J. Climate, 26, 6801–6843, 2013.
Belcher, S. E., Harman, I. N., and Finnigan, J. J.: The wind in the willows: flows in forest canopies in complex terrain, Annu. Rev. Fluid Mech., 44, 479–504, 2012.
Borge, R., Alexandrov, V., José del Vas, J., Lumbreras, J., and Rodr\'iguez, E.: A comprehensive sensitivity analysis of the WRF model for air quality applications over the Iberian Peninsula, Atmos. Environ., 42, 8560–8574, 2008.
Chen, F. and Avissar, R.: The impact of land-surface wetness heterogeneity on mesoscale heat fluxes, J. Appl. Meteorol., 33, 1323–1340, 1994.
Chen, F. and Dudhia, J.: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity, Mon. Weather Rev., 129, 569–585, 2001a.
Download
Share