Simulated Tropical Precipitation Assessed across Three Major Phases of the Coupled Model Intercomparison Project (CMIP)

This page lists all metadata that was entered for this dataset. You can download the dataset and view an additional description file.

Features
Citation
Citation Options
Identification
Title:Main Title: Simulated Tropical Precipitation Assessed across Three Major Phases of the Coupled Model Intercomparison Project (CMIP)
Description:Abstract: The representation of tropical precipitation is evaluated across three generations of models participating in phases 3, 5, and 6 of the Coupled Model Intercomparison Project (CMIP). Compared to state-of-the-art observations, improvements in tropical precipitation in the CMIP6 models are identified for some metrics, but we find no general improvement in tropical precipitation on different temporal and spatial scales. Our results indicate overall little changes across the CMIP phases for the summer monsoons, the double-ITCZ bias, and the diurnal cycle of tropical precipitation. We find a reduced amount of drizzle events in CMIP6, but tropical precipitation occurs still too frequently. Continuous improvements across the CMIP phases are identified for the number of consecutive dry days, for the representation of modes of variability, namely, the Madden–Julian oscillation and El Niño–Southern Oscillation, and for the trends in dry months in the twentieth century. The observed positive trend in extreme wet months is, however, not captured by any of the CMIP phases, which simulate negative trends for extremely wet months in the twentieth century. The regional biases are larger than a climate change signal one hopes to use the models to identify. Given the pace of climate change as compared to the pace of model improvements to simulate tropical precipitation, we question the past strategy of the development of the present class of global climate models as the mainstay of the scientific response to climate change. We suggest the exploration of alternative approaches such as high-resolution storm-resolving models that can offer better prospects to inform us about how tropical precipitation might change with anthropogenic warming.
Identifier:10.1175/MWR-D-19-0404.1 (DOI)
Responsible Party
Creators:Stephanie Fiedler (Author), Traute Crueger (Author), Roberta D'Agostino (Author), Karsten Peters (Author), Tobias Becker (Author), David Leutwyler (Author), Laura Paccini (Author), Jörg Burdanowitz (Author), Stefan A. Buehler (Author), Alejandro Uribe Cortes (Author), Thibaut Dauhut (Author), Dietmar Dommenget (Author), Klaus Fraedrich (Author), Leonore Jungandreas (Author), Nicola Maher (Author), Ann Kristin Naumann (Author), Maria Rugenstein (Author), Mirjana Sakradzija (Author), Hauke Schmidt (Author), Frank Stielmann (Author), Claudia Stephan (Author), Claudia Timmreck (Author), Xiuhua Zhu (Author), Bjorn Stevens (Author)
Publisher:American Meteorological Society
Publication Year:2020
Topic
CRC1211 Topic:Climate
Related Subproject:A3
Subject:Keyword: Climate Models
Geogr. Information Topic:Climatology/Meteorology/Atmosphere
File Details
Filename:15200493MonthlyWeatherReview.pdf
Data Type:Text - Paper
File Size:3.2 MB
Date:Available: 20.08.2020
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Free
General Access and Use Conditions:According to the CRC1211DB data policy agreement.
Access Limitations:According to the CRC1211DB data policy agreement.
Licence:[Creative Commons] Attribution 4.0 International (CC BY 4.0)
Geographic
Specific Information - Publication
Publication Status:Accepted
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Monthly Weather Review
Issue:9
Volume:148
Number of Pages:28 (3653 - 3680)
Metadata Details
Metadata Creator:Rovina Pinto
Metadata Created:19.07.2021
Metadata Last Updated:12.04.2022
Subproject:A3
Funding Phase:2
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:172
Metadata Downloads:37
Dataset Downloads:5
Dataset Activity
Features