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Title: Tropical Convective Transition Statistics and Causality in the Water Vapor–Precipitation Relation

Journal Article · · Journal of the Atmospheric Sciences
 [1];  [1];  [1]
  1. Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, California

Abstract Previous work by various authors has pointed to the role of lower-free-tropospheric humidity in affecting the onset of deep convection in the tropics. Empirical relationships between column water vapor (CWV) and precipitation have been inferred to result from these effects. Evidence from previous work has included deep convective conditional instability calculations for entraining plumes, in which the lower-free-tropospheric environment affects the onset of deep convection due to the differential impact on buoyancy of turbulent entrainment of dry versus moist air. The relationship between deep convection and water vapor is, however, a two-way interaction because convection also moistens the free troposphere. The present study adds an additional line of evidence toward fully establishing the causality of the precipitation–water vapor relationship. Parameter perturbation experiments using the coupled Community Earth System Model (CESM) with high-time-resolution output are analyzed for a set of statistics for the transition to deep convection, coordinated with observational diagnostics for the Green Ocean Amazon (GOAmazon) campaign and tropical western Pacific Atmospheric Radiation Measurement (ARM) sites. For low values of entrainment in the deep convective scheme, these statistics are radically altered and the observed pickup of precipitation with CWV is no longer seen. In addition to helping cement the dominant direction of causality in the fast-time-scale precipitation–CWV relationship, the results point to impacts of entrainment on the climatology. Because at low entrainment convection can fire before tropospheric moistening, the climatological values of relative humidity are lower than observed. These findings can be consequential to biases in simulated climate and to projections of climate change.

Research Organization:
Univ. of California, Los Angeles, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC0011074
OSTI ID:
1346277
Alternate ID(s):
OSTI ID: 1426863
Journal Information:
Journal of the Atmospheric Sciences, Journal Name: Journal of the Atmospheric Sciences Vol. 74 Journal Issue: 3; ISSN 0022-4928
Publisher:
American Meteorological SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 46 works
Citation information provided by
Web of Science

Cited By (8)

Campaign datasets for Observations and Modeling of the Green Ocean Amazon (GOAMAZON) dataset January 2016
Mesoscale convective systems over the Amazon basin: The GoAmazon2014/5 program journal June 2019
Sensing Heavy Precipitation With GNSS Polarimetric Radio Occultations journal January 2019
MJO Propagation Processes and Mean Biases in the SubX and S2S Reforecasts journal August 2019
A Steady‐State Model for the Relationship Between Humidity, Instability, and Precipitation in the Tropics journal December 2019
Variability and Trends in Global Precipitable Water Vapor Retrieved from COSMIC Radio Occultation and Radiosonde Observations journal May 2018
Lagrangian Cloud Tracking and the Precipitation-Column Humidity Relationship journal July 2018
Benefits of a Closely-Spaced Satellite Constellation of Atmospheric Polarimetric Radio Occultation Measurements journal October 2019

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