To address the gap in understanding precipitation changes in Southeast Asia and to enhance the reliability of climate projections for the region through moisture budget analysis,this study examines the differences amo...To address the gap in understanding precipitation changes in Southeast Asia and to enhance the reliability of climate projections for the region through moisture budget analysis,this study examines the differences among six multi-model ensembles of CMIP6 simulated precipi-tation in term of moisture budget analysis.It investigates the relative contributions of thermodynamic and dynamic components to seasonal precipitation changes over Southeast Asia under the highest emission scenario,SSP5-8.5.The comparison between ensembles indicates that Good performance model ensembles slightly outperform the combination of all resolution and all category ensembles in reducing the biases.There is no strong evidence showing that good category ensembles outperform the combination of all model ensemble groups in simulating the spatial pattern of historical seasonal precipitation.From the perspective of moisture budget,regions receiving seasonal high rainfall intensity are mainly influenced by the moisture convergence during the monsoon seasons:northeast monsoon(December-January-February)and southwest monsoon(June-July-August).By the late 21st century(2081-2100),all model ensemble projections show an increase in December-January-February precipitation over the northern Southeast Asia and decreased June-July-August rainfall in the southern regions.The moisture budget analysis explained that the seasonal mean rainfall change in Southeast Asia is largely influenced by evaporation and followed by moisture flux convergence.The changes in moisture flux convergence are contributed by both the dynamic and thermodynamic components.Greater inter-model uncertainty was found in the precipitation dynamic component compared to the thermodynamic component suggesting the existence of large discrepancy between the various approaches used by GCMs in describing atmospheric dynamics.The study highlights that the Good model ensemble with middle to low resolution is able to narrow the inter-model uncertainties in terms of the moisture budget analysis c展开更多
首先研究评估三种预冷技术对当地生长的绿芦笋在1.5℃普通大气(RA)下贮藏21天的效果。其次研究评估两种不同相对湿度(RA)和三种不同气体组成,在1.5℃自发气调贮藏(MA)21天的绿芦笋品质。在实验容器上装有硅窗以保持 MA 条件。贮藏前预...首先研究评估三种预冷技术对当地生长的绿芦笋在1.5℃普通大气(RA)下贮藏21天的效果。其次研究评估两种不同相对湿度(RA)和三种不同气体组成,在1.5℃自发气调贮藏(MA)21天的绿芦笋品质。在实验容器上装有硅窗以保持 MA 条件。贮藏前预冷芦笋,可减少损耗20%以上。然而,这三种预冷技术之间差异并不显著。28天后,MA 贮藏的芦笋与相对湿度为80%的 RA 贮藏(质量损耗60%)和相对湿度为95%的 RA 贮藏(质量损耗41%) 相比,色泽较好,外观新鲜、质地较硬,质量损耗较低(<12%)。尽管硅窗能适当控制CO_2浓度,但为了防止缺氧呼吸,必须定期注入氧气。展开更多
基金supported by the Science Foundation of Donghai Laboratory under Grants DH-2023QD0002 and L24QH006.
文摘To address the gap in understanding precipitation changes in Southeast Asia and to enhance the reliability of climate projections for the region through moisture budget analysis,this study examines the differences among six multi-model ensembles of CMIP6 simulated precipi-tation in term of moisture budget analysis.It investigates the relative contributions of thermodynamic and dynamic components to seasonal precipitation changes over Southeast Asia under the highest emission scenario,SSP5-8.5.The comparison between ensembles indicates that Good performance model ensembles slightly outperform the combination of all resolution and all category ensembles in reducing the biases.There is no strong evidence showing that good category ensembles outperform the combination of all model ensemble groups in simulating the spatial pattern of historical seasonal precipitation.From the perspective of moisture budget,regions receiving seasonal high rainfall intensity are mainly influenced by the moisture convergence during the monsoon seasons:northeast monsoon(December-January-February)and southwest monsoon(June-July-August).By the late 21st century(2081-2100),all model ensemble projections show an increase in December-January-February precipitation over the northern Southeast Asia and decreased June-July-August rainfall in the southern regions.The moisture budget analysis explained that the seasonal mean rainfall change in Southeast Asia is largely influenced by evaporation and followed by moisture flux convergence.The changes in moisture flux convergence are contributed by both the dynamic and thermodynamic components.Greater inter-model uncertainty was found in the precipitation dynamic component compared to the thermodynamic component suggesting the existence of large discrepancy between the various approaches used by GCMs in describing atmospheric dynamics.The study highlights that the Good model ensemble with middle to low resolution is able to narrow the inter-model uncertainties in terms of the moisture budget analysis c
文摘首先研究评估三种预冷技术对当地生长的绿芦笋在1.5℃普通大气(RA)下贮藏21天的效果。其次研究评估两种不同相对湿度(RA)和三种不同气体组成,在1.5℃自发气调贮藏(MA)21天的绿芦笋品质。在实验容器上装有硅窗以保持 MA 条件。贮藏前预冷芦笋,可减少损耗20%以上。然而,这三种预冷技术之间差异并不显著。28天后,MA 贮藏的芦笋与相对湿度为80%的 RA 贮藏(质量损耗60%)和相对湿度为95%的 RA 贮藏(质量损耗41%) 相比,色泽较好,外观新鲜、质地较硬,质量损耗较低(<12%)。尽管硅窗能适当控制CO_2浓度,但为了防止缺氧呼吸,必须定期注入氧气。
