Back to Search
Start Over
Bimodality in simulated precipitation frequency distributions and its relationship with convective parameterizations.
- Source :
- NPJ Climate & Atmospheric Science; 6/15/2024, Vol. 7 Issue 1, p1-9, 9p
- Publication Year :
- 2024
-
Abstract
- Bimodality in precipitation frequency distributions is often evident in atmospheric models, but rarely in observations. This study i) proposes a metric to objectively quantify the bimodality in precipitation distributions, ii) evaluates model simulations contributed to the Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5), phase 6 (CMIP6), and the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) project by comparing them to satellite-based and reanalysis precipitation products, and iii) investigates possible origins of bimodal precipitation distributions. Our results reveal that about 83% (20 out of 24) of CMIP5 and 70% (21 out of 30) of CMIP6 models used in this study exhibit bimodal distributions. The few DYAMOND models that use a deep convective parameterization also show bimodal distributions, while most DYAMOND models do not. Predictably, the bimodality originates from the separation of precipitation process between resolved grid-scale and parameterized subgrid-scale. However, in a larger number of models bimodality arises from the parameterized subgrid-scale convective precipitation alone. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 23973722
- Volume :
- 7
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- NPJ Climate & Atmospheric Science
- Publication Type :
- Academic Journal
- Accession number :
- 177894918
- Full Text :
- https://doi.org/10.1038/s41612-024-00685-3