Posters

AS1.4

Weather and climate models used for weather forecasts, seasonal predictions and climate projections, are essential for decision making on timescales from hours to decades. However, information about future weather and climate relies on complex, though imperfect, numerical models of the Earth-system. Systematic biases and random errors have detrimental effects on predictive skill for dynamically driven fields on weather and seasonal time scales. Biases in climate models also contribute to the high levels of uncertainty in many aspects of climate change as the biases project strongly on future changes. A large source of uncertainty and error in model simulations is unresolved processes, represented through parameterization schemes. However, these errors typically materialize at large spatial scales. Our physical understanding of the mechanical and dynamical drivers of these large-scale biases is incomplete. Incomplete mechanistic understanding hinders marked improvements in models, including identification of the parameterizations most in need of improvement.

Understanding and reducing the errors in weather and climate models due to parameterizations and poorly represented mesoscale to regional scales processes is a necessary step towards improved weather and climate prediction. This session aims to bring together these two perspectives, and unite the weather and climate communities to address this common problem and accelerate progress in this area.

This session seeks submissions that aim to quantify, understand, and reduce sources of error and bias in weather and climate models. Themes covered in this session include:

- Theory and development of parameterization. Impact on errors in mean state, model variability and physical process representation;

- Improved physical understanding of the drivers of large-scale biases including the use of process studies, idealized modeling studies and studies with strong observational components;

- Growth and propagation of error and bias in models; model errors across temporal and spatial scales; dependency of errors on model resolution and the development of scale-aware parameterization schemes;

- Use of “emergent constraints” to relate present day model biases with the climate change signal;

- Understanding and representing random model error.

Invited presentations: Felix Pithan (AWI) and Bob Plant (University of Reading)

Lead Convenors: Hannah Christensen and Stefan Sobolowski
Co-convenors: Craig Bishop, Ariane Frassoni, Daniel Klocke, Erica Madonna, Isla Simpson, Keith Williams, Giuseppe Zappa

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Co-organized as CL5.06/NP5.5/OS4.19
Convener: Hannah Christensen | Co-conveners: Stefan Sobolowski, Craig H. Bishop, Ariane Frassoni dos Santos de Mattos, Daniel Klocke, Erica Madonna
Orals
| Thu, 11 Apr, 16:15–18:00
 
Room 0.11
Posters
| Attendance Thu, 11 Apr, 14:00–15:45
 
Hall X5

Attendance time: Thursday, 11 April 2019, 14:00–15:45 | Hall X5

Chairperson: H. Christensen
X5.189 |
EGU2019-3199
Mitigation of the Double ITCZ Syndrome in BCC-CSM through Revising Parameterizations of Boundary-Layer Turbulence and Shallow Convection
(withdrawn)
Yixiong Lu
X5.192 |
EGU2019-6230
Implementation and Testing of CS-AW deep convection and MG3 microphysics in FV3GFS
(withdrawn)
Anning Cheng and the Anning Cheng
X5.193 |
EGU2019-12595
Myung-Seo Koo, Jung-Eun Kim, and Song-You Hong
X5.195 |
EGU2019-2073
Maria Vittoria Guarino, Louise Sime, David Schroeder, and Grenville Lister
X5.196 |
EGU2019-5228
Manuel Pulido, Santiago Rosa, and Peter Jan van Leeuwen
X5.197 |
EGU2019-1833
Irena Kaspar-Ott, Elke Hertig, Severin Kaspar, Felix Pollinger, Christoph Ring, Heiko Paeth, and Jucundus Jacobeit
X5.199 |
EGU2019-15198
Martin Gomez-Garcia, Akiko Matsumura, Daikichi Ogawada, and Kiyoshi Takahashi
X5.200 |
EGU2019-15080
Model evaluation of high-resolution urban climate simulations: using WRF/Noah LSM/SLUCM model as a case study
(withdrawn)
Zhiqiang Li, Yulun Zhou, Bincheng Wan, Hopun Chung, Bo Huang, and Biao Liu
X5.201 |
EGU2019-16514
Xavier-Andoni Tibau, Christian Reimers, Veronika Eyring, Joachim Denzler, Markus Reichstein, and Jakob Runge
X5.202 |
EGU2019-12198
Cyril Dutheil, Margot bador, Matthieu Lengaigne, Jérôme Vialard, Jérôme Lefèvre, Nicolas Jourdain, Swen Jullien, Alexandre Peltier, Benjamin Sultan, and Christophe Menkes
X5.203 |
EGU2019-14144
Stefan Sobolowski, Camille Li, Lilan Chen, and Fumiaki Ogawa
X5.204 |
EGU2019-16922
Nicholas Tyrrell, Alexey Karpechko, and Sebastian Rast
X5.205 |
EGU2019-16668
Relationship between the future projections of Sahel rainfall and the simulation biases of present South Asian and western North Pacific rainfall in summer
(withdrawn)
yuhan yan, riyu lu, and chaofan li