2020
DOI: 10.1002/essoar.10505465.1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Sensitivity of Tropical Extreme Precipitation to Surface Warming in Aquaplanet Experiments Using a Global Nonhydrostatic Model

Abstract: Increases of atmospheric water vapor holding capacity with temperature (7% K −1 -8% K −1 , CC-rate) can lead to increasing extreme precipitation (EP). Observations show that tropical EP has increased during the last five decades with a rate higher than in the extratropics. Global climate models (GCM's) diverge in the magnitude of increase in the tropics, and cloud-resolving models (CRM's) indicate correlations between changes in tropical EP and organization of deep convection. We conducted globalscale aquaplan… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
4
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 28 publications
0
4
0
Order By: Relevance
“…The primary data for this study, that is, the ICON-A model is described in Giorgetta et al (2018) and its source code and components are available on https://mpimet.mpg.de/en/science/modeling-with-icon/ code-availability. The configuration scripts to run the model, the data and scripts to reproduce the figures can be found in Uribe et al (2020)…”
Section: Data Availability Statementmentioning
confidence: 99%
See 1 more Smart Citation
“…The primary data for this study, that is, the ICON-A model is described in Giorgetta et al (2018) and its source code and components are available on https://mpimet.mpg.de/en/science/modeling-with-icon/ code-availability. The configuration scripts to run the model, the data and scripts to reproduce the figures can be found in Uribe et al (2020)…”
Section: Data Availability Statementmentioning
confidence: 99%
“…The configuration scripts to run the model, the data and scripts to reproduce the figures can be found in Uribe et al. (2020).…”
Section: Data Availability Statementmentioning
confidence: 99%
“…With the advent of computers such simulations became applicable to both weather forecasting and climate modeling in the 1950's and 1960's (Charney et al, 1950;Bolin, 1955;Phillips, 1956;Manabe et al, 1965;Manabe and Bryan, 1969). A limitation of climate modeling is that important small scale motions, not resolved by the computational grid, must be parameterised which is a leading source of uncertainty and a limitation to our ability to understand the results (Hohenegger and Stevens, 2018;Retsch et al, 2019;Hohenegger et al, 2020;Uribe et al, 2021). In this paper we describe the development of a coupled climate model with sufficient resolution to represent atmospheric moist convection, gravity wave drag and ocean eddies and so can dispose of their parameterisations (Figure 1).…”
Section: Introductionmentioning
confidence: 99%
“…There is vast experience that this approach can be fruitful from studies of limited area simulations, or stand alone atmosphere or ocean models (e.g. Deardorff, 1970;Klemp and Wilhelmson, 1978;Smith et al, 2000;Tomita et al, 2005;Heinze et al, 2017;Stevens et al, 2019;Retsch et al, 2019;Uribe et al, 2021). In particular horizontal ocean eddies, moist convection and various forms of gravity wave drag are for the most part parameterised in contemporary climate models, but at kilometer scale resolutions the effect of these processes can largely be represented by resolved motion.…”
Section: Introductionmentioning
confidence: 99%