wang wei yncentervideo conference november · 2019. 12. 18. · wang wei yncentervideo conference...
TRANSCRIPT
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耶鲁大学-南京信息工程大学大气环境中心
Yale-NUIST Center on Atmospheric Environment
Sensitivity of Bowen ratio of water bodies to air temperature
Wang WeiYNCenter Video Conference
November 15, 2012
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Outline
1. Introduction2. ResultsObservationModelingPrediction3. Conclusion
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Why choosing water bodies?
Inland water bodies occupy 4% of the continent surface, oceans cover 71% of the earth surface; (Downing et al., 2006)
Energy partitioning between latent and sensible heat flux of water bodies play a crucial role in determining hydrological cycle, weather and climate change; (Wilson et al., 2002)
Rare knowledge on variability of energy partitioning for water bodies, especially under global warming.
1. INTRODUCTION
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(Trenberth et al., 2007)
1. INTRODUCTION
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Why choosing air temperature?
The most important climatological factors influencing land‐atmosphere interaction;
Negative relationship between Bowen Ratio and air temperature; (Brutsaert 1982)
Alternating energy partitioning as air temperature increasing.
1 1 1
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1. INTRODUCTION
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Simple lake model
(Developed by Lee, 2012)
4(1 )( )
( )
s
a p H s a
a E s a
K L T H EH c C u T T
E C u q q
Linearization of Ts and qs
Solution of Ts
Meteorological drives
H, λE, ββ slightly sensitive to wind speedβ not sensitive to radiationβ decrease with air temperature
1. INTRODUCTION
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Previous studies
(Wilson et al., 2002; Cho, J., T. Oki, et al., 2012)
1. INTRODUCTION
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Objective
To quantify the Bowen Ratio’s sensitivity to air temperature from temporal and spatial perspective;
To understand how Bowen Ratio varying as global warming.
1. INTRODUCTION
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Dataset1. INTRODUCTION
5 scenarios of CM2.1: emission rate order A1FI>A2>A1B>B1>S1.
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Literature results (Annual)2.RESULTS
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Global distribution of Bowen ratio2.RESULTS
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Zonal average (Annual)2.RESULTS
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Three lakes cases (monthly)2.RESULTS
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Zonal sensitivity2.RESULTS
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Global ocean since 1985 (Annual)2.RESULTS
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Merra inputs and MLW 2011 observation
2.RESULTS
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2.RESULTS
Simple lake model driven by Merra(1979‐2011)
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CM2.1 prediction (2001‐2100)2.RESULTS
Including ice sheet
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Summary2.RESULTS
Sensitivity calculated from Brutsaert formula is about 0.023/℃.
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Conclusion
Bowen ratio is more (less) sensitive to air temperature at high (low) latitudes or at low (high) temperature, with a spatial average sensitivity of ‐0.02 per ℃;
The Bowen Ratio’s sensitivity to air temperature is about ‐0.088 per ℃ during the past 27 years over global oceans;
All the scenarios have significantly underestimated the decreasing rate of Bowen ratio for global warming over oceans.
3. Conclus ion
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Thank you!
Suggestions and questions are welcome.
耶鲁大学-南京信息工程大学大气环境中心
Yale-NUIST Center on Atmospheric Environment