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  4. Thermodynamic and dynamic responses to deforestation in the Maritime Continent: A modeling study
 
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Thermodynamic and dynamic responses to deforestation in the Maritime Continent: A modeling study

Journal
Journal of Climate
Journal Volume
32
Journal Issue
12
Pages
3505-3527
Date Issued
2019
Author(s)
Chen, C.-C.
Lo, M.-H.
Im, E.-S.
Yu, J.-Y.
YU-CHIAO LIANG  
Chen, W.-T.
Tang, I.
Lan, C.-W.
Wu, R.-J.
MIN-HUI LO  
WEI-TING CHEN  
DOI
10.1175/JCLI-D-18-0310.1
URI
https://www.scopus.com/inward/record.url?eid=2-s2.0-85066439140&partnerID=40&md5=9475a2e3b3bac4f364722b001728749c
https://scholars.lib.ntu.edu.tw/handle/123456789/542599
Abstract
Tropical deforestation can result in substantial changes in local surface energy and water budgets, and thus in atmospheric stability. These effects may in turn yield changes in precipitation. The Maritime Continent (MC) has undergone severe deforestation during the past few decades but it has received less attention than the deforestation in the Amazon and Congo rain forests. In this study, numerical deforestation experiments are conducted with global (i.e., Community Earth System Model) and regional climate models (i.e., Regional Climate Model version 4.6) to investigate precipitation responses to MC deforestation. The results show that the deforestation in the MC region leads to increases in both surface temperature and local precipitation. Atmospheric moisture budget analysis reveals that the enhanced precipitation is associated more with the dynamic component than with the thermodynamic component of the vertical moisture advection term. Further analyses on the vertical profile of moist static energy indicate that the atmospheric instability over the deforested areas is increased as a result of anomalous moistening at approximately 800-850 hPa and anomalous warming extending from the surface to 750 hPa. This instability favors ascending air motions, which enhance low-level moisture convergence. Moreover, the vertical motion increases associated with the MC deforestation are comparable to those generated by La Niña events. These findings offer not only mechanisms to explain the local climatic responses to MC deforestation but also insights into the possible reasons for disagreements among climate models in simulating the precipitation responses. © 2019 American Meteorological Society.
SDGs

[SDGs]SDG13

[SDGs]SDG15

Other Subjects
Atmospheric temperature; Budget control; Deforestation; Moisture; Surface properties; Atmosphere-land interactions; Atmospheric stability; Land surface; Maritime Continent; Regional climate modeling; Regional climate models; Surface temperatures; Tropical deforestation; Climate models; air-soil interaction; climate modeling; deforestation; La Nina; land surface; precipitation (climatology); surface temperature; thermodynamics; Amazonia; Congo
Type
journal article

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