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Interactive Biogenic Emissions and Drought Stress Effects on Atmospheric Composition in NASA GISS ModelEDrought is a hydroclimatic extreme that causes perturbations to the terrestrial biosphere and acts as a stressor on vegetation, affecting emissions patterns. During severe drought, isoprene emissions are reduced. In this paper, we focus on capturing this reduction signal by implementing a new percentile isoprene drought stress (yd) algorithm in NASA GISS ModelE based on the MEGAN3 (Model of Emissions of Gases and Aerosols from Nature Version 3) approach as a function of a photosynthetic parameter (Vc,max) and water stress (β). Four global transient simulations from 2003–2013 are used to demonstrate the effect without yd (Default_ModelE) and with online yd (DroughtStress_ModelE). DroughtStress_ModelE is evaluated against the observed isoprene measurements at the Missouri Ozarks AmeriFlux (MOFLUX) site during the 2012 severe drought where improvements in the correlation coefficient indicate it is a suitable drought stress parameterization to capture the reduction signal during severe drought. The application of yd globally leads to a decadal average reduction of ∼ 2.7 %, which is equivalent to ∼14.6 Tg yr-1 of isoprene. The changes have larger impacts in regions such as the southeastern US. DroughtStress_ModelE is validated using the satellite ΩHCHO column from the Ozone Monitoring Instrument (OMI) and surface O3 observations across regions of the US to examine the effect of drought on atmospheric composition. It was found that the inclusion of isoprene drought stress reduced the overestimation of ΩHCHO in Default_ModelE during the 2007 and 2011 southeastern US droughts and led to improvements in simulated O3 during drought periods. We conclude that isoprene drought stress should be tuned on a model-by-model basis because the variables used in the parameterization responses are relative to the land surface model hydrology scheme (LSM) and the effects of yd application could be larger than seen here due to ModelE not having large biases of isoprene during severe drought.
Document ID
20220017238
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Elizabeth Klovenski
(University of Houston Houston, Texas, United States)
Yuxuan Wang
(University of Houston Houston, Texas, United States)
Susanne E Bauer
(Goddard Institute for Space Studies New York, New York, United States)
Kostas Tsigaridis
(Columbia University New York, New York, United States)
Greg Faluvegi
(Columbia University New York, New York, United States)
Igor Aleinov
(Columbia University New York, New York, United States)
Nancy Y Kiang
(Goddard Institute for Space Studies New York, New York, United States)
Alex Guenther
(University of California, Irvine Irvine, United States)
Xiaoyan Jiang
(University of California, Irvine Irvine, United States)
Wei Li
(University of Houston Houston, Texas, United States)
Nan Lin
(Tsinghua University Beijing, China)
Date Acquired
November 16, 2022
Publication Date
October 17, 2022
Publication Information
Publication: Atmospheric Chemistry and Physics
Publisher: European Geosciences Union
Volume: 22
Issue: 20
Issue Publication Date: October 17, 2022
ISSN: 1680-7316
e-ISSN: 1680-7324
Subject Category
Meteorology And Climatology
Funding Number(s)
WBS: 509496.02.08.04.24
CONTRACT_GRANT: 80NSSC19K0986
CONTRACT_GRANT: 80NSSC18K1704
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
drought stress effects
vegetation
DroughtStress_ModelE
isoprene emissions
formaldehyde column
ozone
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