Articles | Volume 15, issue 15
https://doi.org/10.5194/acp-15-8717-2015
https://doi.org/10.5194/acp-15-8717-2015
Research article
 | 
07 Aug 2015
Research article |  | 07 Aug 2015

Prognostic precipitation with three liquid water classes in the ECHAM5–HAM GCM

V. Sant, R. Posselt, and U. Lohmann

Related authors

The impact of the mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain
Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 14145–14175, https://doi.org/10.5194/acp-24-14145-2024,https://doi.org/10.5194/acp-24-14145-2024, 2024
Short summary
Quantified ice-nucleating ability of AgI-containing seeding particles in natural clouds
Anna J. Miller, Christopher Fuchs, Fabiola Ramelli, Huiying Zhang, Nadja Omanovic, Robert Spirig, Claudia Marcolli, Zamin A. Kanji, Ulrike Lohmann, and Jan Henneberger
EGUsphere, https://doi.org/10.5194/egusphere-2024-3230,https://doi.org/10.5194/egusphere-2024-3230, 2024
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
The surface tension and CCN activation of sea spray aerosol particles
Judith Kleinheins, Nadia Shardt, Ulrike Lohmann, and Claudia Marcolli
EGUsphere, https://doi.org/10.5194/egusphere-2024-2838,https://doi.org/10.5194/egusphere-2024-2838, 2024
Short summary
Cirrus formation regimes – Data driven identification and quantification of mineral dust effect
Kai Jeggle, David Neubauer, Hanin Binder, and Ulrike Lohmann
EGUsphere, https://doi.org/10.5194/egusphere-2024-2559,https://doi.org/10.5194/egusphere-2024-2559, 2024
Short summary
Investigating the sign of stratocumulus adjustments to aerosols in the ICON global storm-resolving model
Emilie Fons, Ann Kristin Naumann, David Neubauer, Theresa Lang, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 8653–8675, https://doi.org/10.5194/acp-24-8653-2024,https://doi.org/10.5194/acp-24-8653-2024, 2024
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Correction of ERA5 temperature and relative humidity biases by bivariate quantile mapping for contrail formation analysis
Kevin Wolf, Nicolas Bellouin, Olivier Boucher, Susanne Rohs, and Yun Li
Atmos. Chem. Phys., 25, 157–181, https://doi.org/10.5194/acp-25-157-2025,https://doi.org/10.5194/acp-25-157-2025, 2025
Short summary
Can pollen affect precipitation?
Marje Prank, Juha Tonttila, Xiaoxia Shang, Sami Romakkaniemi, and Tomi Raatikainen
Atmos. Chem. Phys., 25, 183–197, https://doi.org/10.5194/acp-25-183-2025,https://doi.org/10.5194/acp-25-183-2025, 2025
Short summary
Potential impacts of marine fuel regulations on an Arctic stratocumulus case and its radiative response
Luís Filipe Escusa dos Santos, Hannah C. Frostenberg, Alejandro Baró Pérez, Annica M. L. Ekman, Luisa Ickes, and Erik S. Thomson
Atmos. Chem. Phys., 25, 119–142, https://doi.org/10.5194/acp-25-119-2025,https://doi.org/10.5194/acp-25-119-2025, 2025
Short summary
The impact of the mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain
Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 14145–14175, https://doi.org/10.5194/acp-24-14145-2024,https://doi.org/10.5194/acp-24-14145-2024, 2024
Short summary
The role of ascent timescales for warm conveyor belt (WCB) moisture transport into the upper troposphere and lower stratosphere (UTLS)
Cornelis Schwenk and Annette Miltenberger
Atmos. Chem. Phys., 24, 14073–14099, https://doi.org/10.5194/acp-24-14073-2024,https://doi.org/10.5194/acp-24-14073-2024, 2024
Short summary

Cited articles

Ackerman, A., Kirkpatrick, M., Stevens, D., and Toon, O.: The impact of humidity above stratiform clouds on indirect aerosol climate forcing, Nature, 432, 1014–1017, 2004.
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 version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present), J. Hydrometeorol., 4, 1147–1167, 2003.
Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230, 1989.
Barthazy, E. and Schefold, R.: Fall velocity of snowflakes of different riming degree and crystal types, Atmos. Res., 82, 391–398, 2006.
Bellouin, N., Quaas, J., Morcrette, J.-J., and Boucher, O.: Estimates of aerosol radiative forcing from the MACC re-analysis, Atmos. Chem. Phys., 13, 2045–2062, https://doi.org/10.5194/acp-13-2045-2013, 2013.
Download
Short summary
We have introduced prognostic precipitation for both liquid (drizzle and rain) and solid (snow) phase precipitation into the global circulation model ECHAM5-HAM. This has a significant effect on the clouds and the parameterized collection rates, also reducing the sensitivity of the liquid water path to the anthropogenic aerosol forcing. Altogether the results suggest that the treatment of precipitation in global circulation models has a significant influence on the phase and lifetime of clouds.
Altmetrics
Final-revised paper
Preprint