Modeling Isoprene Emission Response to Drought and Heatwaves Within MEGAN Using Evapotranspiration Data and by Coupling With the Community Land Model
Abstract
We introduce two new drought stress algorithms designed to simulate isoprene emission with the Model of Emissions of Gases and Aerosols from Nature (MEGAN) model. The two approaches include the representation of the impact of drought on isoprene emission with a simple empirical approach for offline MEGAN applications and a more process-based approach for online MEGAN in Community Land Model (CLM) simulations. The two versions differ in their implementation of leaf-temperature impacts of mild drought. For the online version of MEGAN that is coupled to CLM, the impact of drought on leaf temperature is simulated directly and the calculated leaf temperature is considered for the estimation of isoprene emission. For the offline version, we apply an empirical algorithm derived from whole-canopy flux measurements for simulating the impact of drought ranging from mild to severe stage. In addition, the offline approach adopts the ratio ($$f$$PET) of actual evapotranspiration to potential evapotranspiration to quantify the severity of drought instead of using soil moisture. We applied the two algorithms in the CLM-CAM-chem (the Community Atmosphere Model with Chemistry) model to simulate the impact of drought on isoprene emission and found that drought can decrease isoprene emission globally by 11% in 2012. We further compared the formaldehyde (HCHO) vertical column density simulated by CAM-chem to satellite HCHO observations. We found that the proposed drought algorithm can improve the match with the HCHO observations during droughts, but the performance of the drought algorithm is limited by the capacity of the model to capture the severity of drought.
- Authors:
-
[1];
[3];
[6];
[1]
- Univ. of California, Irvine, CA (United States)
- Univ. of California, Berkeley, CA (United States)
- Institute of Environmental Assessment and Water Research (IDAEA‐CSIC), Barcelona (Spain)
- Royal Belgian Institute for Space Aeronomy (BIRA - IASB), Brussels (Belgium)
- Univ. Innsbruck (Austria)
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); National Science Foundation (NSF); National Aeronautics and Space Administration (NASA)
- OSTI Identifier:
- 1997641
- Grant/Contract Number:
- AC05-00OR22725; AGS-1643042; 80NSSC19K0986
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Volume: 14; Journal Issue: 12; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Wang, Hui, Lu, Xinchen, Seco, Roger, Stavrakou, Trissevgeni, Karl, Thomas, Jiang, Xiaoyan, Gu, Lianhong, and Guenther, Alex B. Modeling Isoprene Emission Response to Drought and Heatwaves Within MEGAN Using Evapotranspiration Data and by Coupling With the Community Land Model. United States: N. p., 2022.
Web. doi:10.1029/2022ms003174.
Wang, Hui, Lu, Xinchen, Seco, Roger, Stavrakou, Trissevgeni, Karl, Thomas, Jiang, Xiaoyan, Gu, Lianhong, & Guenther, Alex B. Modeling Isoprene Emission Response to Drought and Heatwaves Within MEGAN Using Evapotranspiration Data and by Coupling With the Community Land Model. United States. https://doi.org/10.1029/2022ms003174
Wang, Hui, Lu, Xinchen, Seco, Roger, Stavrakou, Trissevgeni, Karl, Thomas, Jiang, Xiaoyan, Gu, Lianhong, and Guenther, Alex B. Fri .
"Modeling Isoprene Emission Response to Drought and Heatwaves Within MEGAN Using Evapotranspiration Data and by Coupling With the Community Land Model". United States. https://doi.org/10.1029/2022ms003174. https://www.osti.gov/servlets/purl/1997641.
@article{osti_1997641,
title = {Modeling Isoprene Emission Response to Drought and Heatwaves Within MEGAN Using Evapotranspiration Data and by Coupling With the Community Land Model},
author = {Wang, Hui and Lu, Xinchen and Seco, Roger and Stavrakou, Trissevgeni and Karl, Thomas and Jiang, Xiaoyan and Gu, Lianhong and Guenther, Alex B.},
abstractNote = {We introduce two new drought stress algorithms designed to simulate isoprene emission with the Model of Emissions of Gases and Aerosols from Nature (MEGAN) model. The two approaches include the representation of the impact of drought on isoprene emission with a simple empirical approach for offline MEGAN applications and a more process-based approach for online MEGAN in Community Land Model (CLM) simulations. The two versions differ in their implementation of leaf-temperature impacts of mild drought. For the online version of MEGAN that is coupled to CLM, the impact of drought on leaf temperature is simulated directly and the calculated leaf temperature is considered for the estimation of isoprene emission. For the offline version, we apply an empirical algorithm derived from whole-canopy flux measurements for simulating the impact of drought ranging from mild to severe stage. In addition, the offline approach adopts the ratio ($f$PET) of actual evapotranspiration to potential evapotranspiration to quantify the severity of drought instead of using soil moisture. We applied the two algorithms in the CLM-CAM-chem (the Community Atmosphere Model with Chemistry) model to simulate the impact of drought on isoprene emission and found that drought can decrease isoprene emission globally by 11% in 2012. We further compared the formaldehyde (HCHO) vertical column density simulated by CAM-chem to satellite HCHO observations. We found that the proposed drought algorithm can improve the match with the HCHO observations during droughts, but the performance of the drought algorithm is limited by the capacity of the model to capture the severity of drought.},
doi = {10.1029/2022ms003174},
journal = {Journal of Advances in Modeling Earth Systems},
number = 12,
volume = 14,
place = {United States},
year = {Fri Nov 11 00:00:00 EST 2022},
month = {Fri Nov 11 00:00:00 EST 2022}
}
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