SENSITIVITY OF PRECIPITATION TO SEA SURFACE TEMPERATURE AND ITS DIURNAL VARIATION: A PARTITIONING ANALYSIS BASED ON SURFACE RAINFALL BUDGET

The sensitivity of precipitation to sea surface temperature (SST) and its diurnal variation is investigated through a rainfall partitioning analysis of two-dimensional cloud-resolving model experiments based on surface rainfall budget. For all experiments, the model is set up using zero vertical vel...

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Published inJournal of Tropical Meteorology Vol. 18; no. 3; pp. 369 - 376
Main Author 周玉淑 李小凡
Format Journal Article
LanguageEnglish
Published Guangzhou Guangzhou Institute of Tropical & Marine Meteorology 01.09.2012
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ISSN1006-8775

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Abstract The sensitivity of precipitation to sea surface temperature (SST) and its diurnal variation is investigated through a rainfall partitioning analysis of two-dimensional cloud-resolving model experiments based on surface rainfall budget. For all experiments, the model is set up using zero vertical velocity and a constant zonal wind and is integrated over 40 days to reach quasi-equilibrium states. The 10-day equilibrium grid-scale simulation data and a time-invariant SST of 29℃ are used in the control experiment. In the sensitivity experiments, time-invariant SSTs are 27℃ and 31 ℃ with an average value of 29℃ when the minimum and maximum values of diurnal SST differences are I℃ and 2℃, respectively. The results show that the largest contribution to total rainfall is from the rainfall with water vapor convergence and local atmospheric drying and hydrometeor gain/divergence (-30%) in all experiments. When SST increases from 27℃ to 29℃, the contribution from water vapor convergence decreases. The increase of SST reduces the contribution of the rainfall with water vapor convergence primarily through the decreased contribution of the rainfall with local atmospheric drying and hydrometeor gain/divergence and the rainfall with local atmospheric moistening and hydrometeor loss/convergence. The inclusion of diurnal variation of SST with the diurnal difference of I℃ decreases the rainfall contribution from water vapor convergence primarily through the decreased contribution of the rainfall with local atmospheric moistening and hydrometeor loss/convergence. The contribution of the rainfall from water vapor convergence is barely changed as the diurnal difference of SST increases from 1 ℃ to 2℃.
AbstractList The sensitivity of precipitation to sea surface temperature (SST) and its diurnal variation is investigated through a rainfall partitioning analysis of two-dimensional cloud-resolving model experiments based on surface rainfall budget. For all experiments, the model is set up using zero vertical velocity and a constant zonal wind and is integrated over 40 days to reach quasi-equilibrium states. The 10-day equilibrium grid-scale simulation data and a time-invariant SST of 29℃ are used in the control experiment. In the sensitivity experiments, time-invariant SSTs are 27℃ and 31 ℃ with an average value of 29℃ when the minimum and maximum values of diurnal SST differences are I℃ and 2℃, respectively. The results show that the largest contribution to total rainfall is from the rainfall with water vapor convergence and local atmospheric drying and hydrometeor gain/divergence (-30%) in all experiments. When SST increases from 27℃ to 29℃, the contribution from water vapor convergence decreases. The increase of SST reduces the contribution of the rainfall with water vapor convergence primarily through the decreased contribution of the rainfall with local atmospheric drying and hydrometeor gain/divergence and the rainfall with local atmospheric moistening and hydrometeor loss/convergence. The inclusion of diurnal variation of SST with the diurnal difference of I℃ decreases the rainfall contribution from water vapor convergence primarily through the decreased contribution of the rainfall with local atmospheric moistening and hydrometeor loss/convergence. The contribution of the rainfall from water vapor convergence is barely changed as the diurnal difference of SST increases from 1 ℃ to 2℃.
The sensitivity of precipitation to sea surface temperature (SST) and its diurnal variation is investigated through a rainfall partitioning analysis of two-dimensional cloud-resolving model experiments based on surface rainfall budget. For all experiments, the model is set up using zero vertical velocity and a constant zonal wind and is integrated over 40 days to reach quasi-equilibrium states. The 10-day equilibrium grid-scale simulation data and a time-invariant SST of 29 degree C are used in the control experiment. In the sensitivity experiments, time-invariant SSTs are 27 degree C and 31 degree C with an average value of 29 degree C when the minimum and maximum values of diurnal SST differences are 1 degree C and 2 degree C, respectively. The results show that the largest contribution to total rainfall is from the rainfall with water vapor convergence and local atmospheric drying and hydrometeor gain/divergence ( similar to 30%) in all experiments. When SST increases from 27 degree C to 29 degree C, the contribution from water vapor convergence decreases. The increase of SST reduces the contribution of the rainfall with water vapor convergence primarily through the decreased contribution of the rainfall with local atmospheric drying and hydrometeor gain/divergence and the rainfall with local atmospheric moistening and hydrometeor loss/convergence. The inclusion of diurnal variation of SST with the diurnal difference of 1 degree C decreases the rainfall contribution from water vapor convergence primarily through the decreased contribution of the rainfall with local atmospheric moistening and hydrometeor loss/convergence. The contribution of the rainfall from water vapor convergence is barely changed as the diurnal difference of SST increases from 1 degree C to 2 degree C.
Author 周玉淑 李小凡
AuthorAffiliation Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing 100029 China NOAA/NESDIS/Centre for Satellite Applicationsand Research, Camp Springs, Maryland, USA
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DocumentTitleAlternate SENSITIVITY OF PRECIPITATION TO SEA SURFACE TEMPERATURE AND ITS DIURNAL VARIATION: A PARTITIONING ANALYSIS BASED ON SURFACE RAINFALL BUDGET
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Notes The sensitivity of precipitation to sea surface temperature (SST) and its diurnal variation is investigated through a rainfall partitioning analysis of two-dimensional cloud-resolving model experiments based on surface rainfall budget. For all experiments, the model is set up using zero vertical velocity and a constant zonal wind and is integrated over 40 days to reach quasi-equilibrium states. The 10-day equilibrium grid-scale simulation data and a time-invariant SST of 29℃ are used in the control experiment. In the sensitivity experiments, time-invariant SSTs are 27℃ and 31 ℃ with an average value of 29℃ when the minimum and maximum values of diurnal SST differences are I℃ and 2℃, respectively. The results show that the largest contribution to total rainfall is from the rainfall with water vapor convergence and local atmospheric drying and hydrometeor gain/divergence (-30%) in all experiments. When SST increases from 27℃ to 29℃, the contribution from water vapor convergence decreases. The increase of SST reduces the contribution of the rainfall with water vapor convergence primarily through the decreased contribution of the rainfall with local atmospheric drying and hydrometeor gain/divergence and the rainfall with local atmospheric moistening and hydrometeor loss/convergence. The inclusion of diurnal variation of SST with the diurnal difference of I℃ decreases the rainfall contribution from water vapor convergence primarily through the decreased contribution of the rainfall with local atmospheric moistening and hydrometeor loss/convergence. The contribution of the rainfall from water vapor convergence is barely changed as the diurnal difference of SST increases from 1 ℃ to 2℃.
ZHOU Yu-shu, Xiao-fan LI (1. Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 China; 2. NOAA/NESDIS/Centre for Satellite Applications and Research, Camp Springs, Maryland, USA)
44-1409/P
precipitation statistics; sea surface temperature (SST); diurnal variation; equilibrium cloud-resolvingmodel simulation
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