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Sensitivity of Ozone Dry Deposition to Ecosystem‐Atmosphere Interactions: A Critical Appraisal of Observations and Simulations
Author(s) -
Lin Meiyun,
Malyshev Sergey,
Shevliakova Elena,
Paulot Fabien,
Horowitz Larry W.,
Fares Silvano,
Mikkelsen Teis N.,
Zhang Leiming
Publication year - 2019
Publication title -
global biogeochemical cycles
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.512
H-Index - 187
eISSN - 1944-9224
pISSN - 0886-6236
DOI - 10.1029/2018gb006157
Subject(s) - environmental science , evergreen , atmospheric sciences , ozone , ecosystem , precipitation , deposition (geology) , atmosphere (unit) , climatology , vegetation (pathology) , climate change , vapour pressure deficit , transpiration , ecology , structural basin , geography , geology , oceanography , chemistry , medicine , pathology , meteorology , biology , biochemistry , photosynthesis , paleontology
The response of ozone (O 3 ) dry deposition to ecosystem‐atmosphere interactions is poorly understood but is central to determining the potential for extreme pollution events under current and future climate conditions. Using observations and an interactive dry deposition scheme within two dynamic vegetation land models (Geophysical Fluid Dynamics Laboratory LM3.0/LM4.0) driven by observation‐based meteorological forcings over 1948–2014, we investigate the factors controlling seasonal and interannual variability (IAV) in O 3 deposition velocities ( V d,O3 ). Stomatal activity in this scheme is determined mechanistically, depending on phenology, soil moisture, vapor pressure deficit, and CO 2 concentration. Soil moisture plays a key role in modulating the observed and simulated V d,O3 seasonal changes over evergreen forests in Mediterranean Europe, South Asia, and the Amazon. Analysis of multiyear observations at forest sites in Europe and North America reveals drought stress to reduce V d,O3 by ~50%. Both LM3.0 and LM4.0 capture the observed V d,O3 decreases due to drought; however, IAV is weaker by a factor of 2 in LM3.0 coupled to atmospheric models, particularly in regions with large precipitation biases. IAV in summertime V d,O3 to forests, driven primarily by the stomatal pathway, is largest (15–35%) in semiarid regions of western Europe, eastern North America, and northeastern China. Monthly mean V d,O3 for the highest year is 2 to 4 times that of the lowest, with significant implications for surface O 3 variability and extreme events. Using V d,O3 from LM4.0 in an atmospheric chemistry model improves the simulation of surface O 3 abundance and spatial variability (reduces mean biases by ~10 ppb) relative to the widely used Wesely scheme.