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Title: Wet scavenging of soluble gases in DC3 deep convective storms using WRF-Chem simulations and aircraft observations

Journal Article · · Journal of Geophysical Research: Atmospheres
DOI:https://doi.org/10.1002/2015JD024623· OSTI ID:1327086
 [1];  [2];  [1];  [1];  [3];  [2];  [4];  [4];  [5];  [4];  [6];  [7];  [7];  [8];  [7];  [9];  [10];  [10];  [10];  [11] more »;  [11];  [2];  [2];  [2];  [2];  [12] « less
  1. Univ. of Colorado, Boulder, CO (United States)
  2. National Center for Atmospheric Research, Boulder, CO (United States)
  3. Univ. of Oklahoma, Norman, OK (United States)
  4. Univ. of Maryland, College Park, MD (United States)
  5. Univ. of Maryland, College Park, MD (United States); NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  6. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  7. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  8. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); California Inst. of Technology (CalTech), Pasadena, CA (United States); Univ. of Maryland Baltimore County (UMBC), Baltimore, MD (United States)
  9. Naval Academy, Annapolis, MD (United States)
  10. Georgia Inst. of Technology, Atlanta, GA (United States)
  11. Univ. of California, Irvine, CA (United States)
  12. NASA Langley Research Center, Hampton, VA (United States)

In this work, we examine wet scavenging of soluble trace gases in storms observed during the Deep Convective Clouds and Chemistry (DC3) field campaign. We conduct high-resolution simulations with the Weather Research and Forecasting model with Chemistry (WRF-Chem) of a severe storm in Oklahoma. The model represents well the storm location, size, and structure as compared with Next Generation Weather Radar reflectivity, and simulated CO transport is consistent with aircraft observations. Scavenging efficiencies (SEs) between inflow and outflow of soluble species are calculated from aircraft measurements and model simulations. Using a simple wet scavenging scheme, we simulate the SE of each soluble species within the error bars of the observations. The simulated SEs of all species except nitric acid (HNO3) are highly sensitive to the values specified for the fractions retained in ice when cloud water freezes. To reproduce the observations, we must assume zero ice retention for formaldehyde (CH2O) and hydrogen peroxide (H2O2) and complete retention for methyl hydrogen peroxide (CH3OOH) and sulfur dioxide (SO2), likely to compensate for the lack of aqueous chemistry in the model. We then compare scavenging efficiencies among storms that formed in Alabama and northeast Colorado and the Oklahoma storm. Significant differences in SEs are seen among storms and species. More scavenging of HNO3 and less removal of CH3OOH are seen in storms with higher maximum flash rates, an indication of more graupel mass. Graupel is associated with mixed-phase scavenging and lightning production of nitrogen oxides (NOx ), processes that may explain the observed differences in HNO3 and CH3OOH scavenging.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); USDOE Office of Science (SC)
Grant/Contract Number:
AC05-76RL01830; ACCDAMNNX14AR56G; AGS-1261559; NNX12AMO8G; AGS-1522910; 1063479; 1522551; NNX12AC06G; NNX14AP46G-ACCDAM; ATM1063467; NNX12AB77G; NNX12AB76G
OSTI ID:
1327086
Report Number(s):
PNNL-SA-119123; KP1701000
Journal Information:
Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 8; ISSN 2169-897X
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 28 works
Citation information provided by
Web of Science

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Cited By (6)

Examination of in-cloud sulfate chemistry using a different model initialization journal December 2018
Wet Scavenging in WRF‐Chem Simulations of Parameterized Convection for a Severe Storm During the DC3 Field Campaign journal July 2019
Introduction to the Deep Convective Clouds and Chemistry (DC3) 2012 Studies journal July 2019
The influence of deep convection on HCHO and H2O2 in the upper troposphere over Europe journal January 2017
Measurement of formic acid, acetic acid and hydroxyacetaldehyde, hydrogen peroxide, and methyl peroxide in air by chemical ionization mass spectrometry: airborne method development journal January 2018
The influence of deep convection on HCHO and H2O2 in the upper troposphere over Europe journal March 2017