Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-425-2019
https://doi.org/10.5194/gmd-12-425-2019
Development and technical paper
 | 
24 Jan 2019
Development and technical paper |  | 24 Jan 2019

A hydrological cycle model for the Globally Resolved Energy Balance (GREB) model v1.0

Christian Stassen, Dietmar Dommenget, and Nicholas Loveday

Related authors

Performance and process-based evaluation of the BARPA-R Australasian regional climate model version 1
Emma Howard, Chun-Hsu Su, Christian Stassen, Rajashree Naha, Harvey Ye, Acacia Pepler, Samuel S. Bell, Andrew J. Dowdy, Simon O. Tucker, and Charmaine Franklin
Geosci. Model Dev., 17, 731–757, https://doi.org/10.5194/gmd-17-731-2024,https://doi.org/10.5194/gmd-17-731-2024, 2024
Short summary
The Monash Simple Climate Model experiments (MSCM-DB v1.0): an interactive database of mean climate, climate change, and scenario simulations
Dietmar Dommenget, Kerry Nice, Tobias Bayr, Dieter Kasang, Christian Stassen, and Michael Rezny
Geosci. Model Dev., 12, 2155–2179, https://doi.org/10.5194/gmd-12-2155-2019,https://doi.org/10.5194/gmd-12-2155-2019, 2019
Short summary
ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations
Jennifer Schröter, Daniel Rieger, Christian Stassen, Heike Vogel, Michael Weimer, Sven Werchner, Jochen Förstner, Florian Prill, Daniel Reinert, Günther Zängl, Marco Giorgetta, Roland Ruhnke, Bernhard Vogel, and Peter Braesicke
Geosci. Model Dev., 11, 4043–4068, https://doi.org/10.5194/gmd-11-4043-2018,https://doi.org/10.5194/gmd-11-4043-2018, 2018
Short summary

Related subject area

Atmospheric sciences
Estimation of aerosol and cloud radiative heating rate in the tropical stratosphere using a radiative kernel method
Jie Gao, Yi Huang, Jonathon S. Wright, Ke Li, Tao Geng, and Qiurun Yu
Geosci. Model Dev., 18, 2569–2586, https://doi.org/10.5194/gmd-18-2569-2025,https://doi.org/10.5194/gmd-18-2569-2025, 2025
Short summary
Evaluation of dust emission and land surface schemes in predicting a mega Asian dust storm over South Korea using WRF-Chem
Ji Won Yoon, Seungyeon Lee, Ebony Lee, and Seon Ki Park
Geosci. Model Dev., 18, 2303–2328, https://doi.org/10.5194/gmd-18-2303-2025,https://doi.org/10.5194/gmd-18-2303-2025, 2025
Short summary
Sensitivity studies of a four-dimensional local ensemble transform Kalman filter coupled with WRF-Chem version 3.9.1 for improving particulate matter simulation accuracy
Jianyu Lin, Tie Dai, Lifang Sheng, Weihang Zhang, Shangfei Hai, and Yawen Kong
Geosci. Model Dev., 18, 2231–2248, https://doi.org/10.5194/gmd-18-2231-2025,https://doi.org/10.5194/gmd-18-2231-2025, 2025
Short summary
A Bayesian method for predicting background radiation at environmental monitoring stations in local-scale networks
Jens Peter Karolus Wenceslaus Frankemölle, Johan Camps, Pieter De Meutter, and Johan Meyers
Geosci. Model Dev., 18, 1989–2003, https://doi.org/10.5194/gmd-18-1989-2025,https://doi.org/10.5194/gmd-18-1989-2025, 2025
Short summary
Inclusion of the ECMWF ecRad radiation scheme (v1.5.0) in the MAR (v3.14), regional evaluation for Belgium, and assessment of surface shortwave spectral fluxes at Uccle
Jean-François Grailet, Robin J. Hogan, Nicolas Ghilain, David Bolsée, Xavier Fettweis, and Marilaure Grégoire
Geosci. Model Dev., 18, 1965–1988, https://doi.org/10.5194/gmd-18-1965-2025,https://doi.org/10.5194/gmd-18-1965-2025, 2025
Short summary

Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P. P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The Version2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis, J. Hydrometeorol., 4, 1147–1167, 2003. 
Anderson, R. J. and Smith, S. D.: Evaporation coefficient for the sea surface from eddy flux measurements, J. Geophys. Res., 86, 449–456, 1981. 
Chadwick, R., Boutle, I., and Martin, G.: Spatial Patterns of Precipitation Change in CMIP5: Why the Rich Do Not Get Richer in the Tropics, J. Climate, 26, 3803–3822, https://doi.org/10.1175/JCLI-D-12-00543.1, 2013. 
Chadwick, R., Good, P., and Willett, K.: A Simple Moisture Advection Model of Specific Humidity Change over Land in Response to SST Warming, J. Climate, 29, 7613–7632, https://doi.org/10.1175/JCLI-D-16-0241.1, 2016. 
Chen, B. Y.: Global water vapor variability and trend from the latest 36 year (1979 to 2014) data of ECMWF and NCEP reanalyses, radiosonde, GPS, and microwave satellite, J. Geophys. Res.-Atmos., 121, 11442–11462, https://doi.org/10.1002/2016JD024917, 2016. 
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
In this research article, we describe the development of a new model for the water cycle (evaporation, precipitation and transport) for a simple climate model called GREB. Before this work, the water cycle in GREB was merely a dummy. We compare our simple model against more complex models and find a similar skill. The results illustrate that the new GREB model's water cycle is a useful tool to study the changes of the water cycle to external forcings like El Niño or climate change.
Share