Differences among three types of tropical deep convective clusters observed from A-Train satellites
- 1. University of Science and Technology of China, Hefei 230026 (China)
- 2. Key Laboratory of Atmospheric Optics, Anhui Institute of Optics & Fine Mechanics, Chinese Academy of Sciences, Hefei 230031 (China)
- 3. Department of Atmospheric Science, University of Wyoming, Laramie, WY 82071 (United States)
Description
Highlights: • A method of identification and classification of tropical DCCs is developed. • The oscillation of monsoon has a strongly impact on all types of DCCs in monsoon areas with accordant seasonal variation. • –Connected DCCs will easily be confused with MCS if we focus on the cloud top bright temperature in the horizontal view. Deep convective clusters (DCCs) constitute a complex regime with a variety of types of cloud parameterization in multiple global climate models (GCMs). This study develops a method to identify tropical DCCs and presents regional differences in cloud occurrence, surface precipitation and a vertical survey of ice water content among separated DCCs, connected DCCs and mesoscale convective systems (MCSs) determined by collocating data from MODIS, AMSR-E, CPR and CALIOP instruments on board A-Train satellites. The results reveal that separated DCCs and MCSs occur frequently over East Asia, while connected DCCs are more common over the warm pool of the West Pacific in June-August and over South America in December-February. Higher surface convective precipitation rates occur more frequently in MCSs than in separated and connected DCCs in non-monsoon areas. However, connected DCCs have a large ice water content (IWC) at 10–15 km similar to that of MCSs, and these clusters are more intense than those in separated DCCs. Remarkably large anvil-stratiform clouds connected with multiple deep convective cores in connected DCCs can be easily confused with MCSs if the cloud top brightness temperature in the horizontal view is the only parameter being considered. Combined observational data of surface precipitation of DCCs will be helpful for distinguishing connected DCCs and MCSs.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jqsrt.2018.05.006Additional details
Identifiers
- DOI
- 10.1016/j.jqsrt.2018.05.006;
- PII
- S0022407318301481;
Publishing Information
- Journal Title
- Journal of Quantitative Spectroscopy and Radiative Transfer
- Journal Volume
- 217
- Journal Page Range
- p. 253-261
- ISSN
- 0022-4073
- CODEN
- JQSRAE
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53005530
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- CLIMATE MODELS; CLOUDS; HUMIDITY; ICE; MONSOONS; OSCILLATIONS; PRECIPITATION; SATELLITES
- Descriptors DEC
- MATHEMATICAL MODELS; MOISTURE; SEPARATION PROCESSES; STORMS
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier Ltd. All rights reserved.