Articles | Volume 6, issue 3
https://doi.org/10.5194/gmd-6-861-2013
https://doi.org/10.5194/gmd-6-861-2013
Development and technical paper
 | 
26 Jun 2013
Development and technical paper |  | 26 Jun 2013

Numerical issues associated with compensating and competing processes in climate models: an example from ECHAM-HAM

H. Wan, P. J. Rasch, K. Zhang, J. Kazil, and L. R. Leung

Related authors

Features of mid- and high-latitude low-level clouds and their relation to strong aerosol effects in the Energy Exascale Earth System Model version 2 (E3SMv2)
Hui Wan, Abhishek Yenpure, Berk Geveci, Richard C. Easter, Philip J. Rasch, Kai Zhang, and Xubin Zeng
EGUsphere, https://doi.org/10.5194/egusphere-2024-4020,https://doi.org/10.5194/egusphere-2024-4020, 2025
Short summary
Representing the effects of giant aerosol in droplet nucleation in E3SMv2
Yu Yao, Po-Lun Ma, Yi Qin, Matthew W. Christensen, Hui Wan, Kai Zhang, Balwinder Singh, Meng Huang, and Mikhail Ovchinnikov
EGUsphere, https://doi.org/10.5194/egusphere-2024-523,https://doi.org/10.5194/egusphere-2024-523, 2024
Preprint withdrawn
Short summary
Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 1: Dust budget analyses and the impacts of a revised coupling scheme
Hui Wan, Kai Zhang, Christopher J. Vogl, Carol S. Woodward, Richard C. Easter, Philip J. Rasch, Yan Feng, and Hailong Wang
Geosci. Model Dev., 17, 1387–1407, https://doi.org/10.5194/gmd-17-1387-2024,https://doi.org/10.5194/gmd-17-1387-2024, 2024
Short summary
Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 2: A semi-discrete error analysis framework for assessing coupling schemes
Christopher J. Vogl, Hui Wan, Carol S. Woodward, and Quan M. Bui
Geosci. Model Dev., 17, 1409–1428, https://doi.org/10.5194/gmd-17-1409-2024,https://doi.org/10.5194/gmd-17-1409-2024, 2024
Short summary
Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects
Shixuan Zhang, Kai Zhang, Hui Wan, and Jian Sun
Geosci. Model Dev., 15, 6787–6816, https://doi.org/10.5194/gmd-15-6787-2022,https://doi.org/10.5194/gmd-15-6787-2022, 2022
Short summary

Related subject area

Numerical methods
Hydro-geomorphological modelling of leaky wooden dam efficacy from reach to catchment scale with CAESAR-Lisflood 1.9j
Joshua M. Wolstenholme, Christopher J. Skinner, David Milan, Robert E. Thomas, and Daniel R. Parsons
Geosci. Model Dev., 18, 1395–1411, https://doi.org/10.5194/gmd-18-1395-2025,https://doi.org/10.5194/gmd-18-1395-2025, 2025
Short summary
Enhancing single precision with quasi-double precision: achieving double-precision accuracy in the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 8.2.1
Jiayi Lai, Lanning Wang, Qizhong Wu, Yizhou Yang, and Fang Wang
Geosci. Model Dev., 18, 1089–1102, https://doi.org/10.5194/gmd-18-1089-2025,https://doi.org/10.5194/gmd-18-1089-2025, 2025
Short summary
Advances in land surface forecasting: a comparison of LSTM, gradient boosting, and feed-forward neural networks as prognostic state emulators in a case study with ecLand
Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, Margarita Choulga, Souhail Boussetta, Maria Kalweit, Joschka Bödecker, Carsten F. Dormann, Florian Pappenberger, and Gianpaolo Balsamo
Geosci. Model Dev., 18, 921–937, https://doi.org/10.5194/gmd-18-921-2025,https://doi.org/10.5194/gmd-18-921-2025, 2025
Short summary
Subgrid corrections for the linear inertial equations of a compound flood model – a case study using SFINCS 2.1.1 Dollerup release
Maarten van Ormondt, Tim Leijnse, Roel de Goede, Kees Nederhoff, and Ap van Dongeren
Geosci. Model Dev., 18, 843–861, https://doi.org/10.5194/gmd-18-843-2025,https://doi.org/10.5194/gmd-18-843-2025, 2025
Short summary
Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study
Chayan Banerjee, Kien Nguyen, Clinton Fookes, Gregory Hancock, and Thomas Coulthard
Geosci. Model Dev., 18, 803–818, https://doi.org/10.5194/gmd-18-803-2025,https://doi.org/10.5194/gmd-18-803-2025, 2025
Short summary

Cited articles

Beljaars, A.: Numerical schemes for parameterizations, in: Numerical Methods in Atmospheric Models, ECMWF Seminar proceedings, European Centre for Medium-range Weather Forecast, Reading, UK, 1–42, 1991.
Beljaars, A., Bechtold, P., Koehler, M., Morcrette, J.-J., Tompkins, A., Viterbo, P., and Wedi, N.: The numerics of physical parameterization, in: ECMWF Seminar Proceedings, European Centre for Medium-range Weather Forecast, Reading, UK, 113–134, 2004.
Benard, P., Marki, A., Neytchev, P., and Prtenjak, M.: Stabilization of nonlinear vertical diffusion schemes in the context of NWP models, Mon. Wea. Rev., 128, 1937–1948, https://doi.org/10.1175/1520-0493(2000)128<1937:SONVDS>2.0.CO;2, 2000.
Brinkop, S. and Roeckner, E.: Sensitivity of a general circulationmodel to parameterizations of cloud-turbulence interactions inthe atmospheric boundary layer, Tellus A, 47, 197–220, 1995.
Butcher, J. C.: Numerical methods for ordinary differential equations, John Wiley & Sons Ltd., 2nd edn., 2008.
Download
Share