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Scaling characteristics of modelled tropical oceanic rain clusters
Quarterly Journal of the Royal Meteorological Society ( IF 3.0 ) Pub Date : 2020-12-17 , DOI: 10.1002/qj.3959 Chee‐Kiat Teo 1 , Tieh‐Yong Koh 2 , Kevin K. W. Cheung 3 , Bernard Legras 4 , Hoai‐Nguyen Huynh 5, 6 , Lock‐Yue Chew 7 , Leslie Norford 8
Quarterly Journal of the Royal Meteorological Society ( IF 3.0 ) Pub Date : 2020-12-17 , DOI: 10.1002/qj.3959 Chee‐Kiat Teo 1 , Tieh‐Yong Koh 2 , Kevin K. W. Cheung 3 , Bernard Legras 4 , Hoai‐Nguyen Huynh 5, 6 , Lock‐Yue Chew 7 , Leslie Norford 8
Affiliation
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The scaling exponents of the distributions of cluster rain amount, R, and cluster size, A, for oceanic rain clusters over the Indian and Pacific warm pools, and the intertropical convergence zones over the eastern Pacific and the tropical Atlantic, were obtained from a set of regional climate model downscaling products. The main aim of the investigation is to compare the model cluster's scaling characteristics with those obtained from observations that have been reported previously. The scaling exponents for the model were found to be different across the ocean basins indicating the lack of universality in the modelled rain cluster distributions. The scaling exponent for the conditional mean of R given A = a, E(R|a), was found to be the same across the different ocean basins, and the estimated value of the exponent agrees with that obtained from satellite‐observed rain clusters. However, no crossover in the scaling of E(R|a) in the model for cluster size larger than mesoscale was seen, unlike those reported elsewhere based on observations. The implication is that in the model the intensification of rain with cluster size continues up to synoptic scale. Through simple scaling arguments it is believed that before the break in scaling that has been identified from an observational study elsewhere, the model simulates the fundamental mesoscale dynamics well and thus estimated the E(R|a) in agreement with observations. Whether such a difference in transition of scaling between the modelled and observed rain cluster scaling behaviour depends on the model details, for example the convection parametrization, needs further clarification.
中文翻译：
模拟的热带海洋雨团的尺度特征
从印度洋和太平洋暖池以及东太平洋和热带大西洋上的热带辐合带，获得了簇状雨量R的分布指数和簇大小A的尺度指数。区域气候模型降尺度产品。研究的主要目的是将模型集群的缩放特征与从先前已报告的观察中获得的缩放特征进行比较。发现该模型的缩放指数在整个海盆中是不同的，这表明在模拟的降雨簇分布中缺乏通用性。给定A = a时R的条件均值的缩放指数E（R | a）在不同的海盆中被发现是相同的，并且该指数的估计值与从卫星观测到的雨团得到的估计值一致。但是，在模型中，对于簇大小大于中尺度的E（R | a）的尺度，没有发现交叉现象，这与其他基于观察的报道不同。这意味着在该模型中，随着簇大小的降雨强度增强一直持续到天气尺度。通过简单的比例论证，可以相信，在其他地方的观测研究确定的尺度突破之前，该模型很好地模拟了基本的中尺度动力学，从而估算了E（R | a）与观察结果一致。建模和观察到的降雨簇缩放行为之间的缩放过渡的这种差异是否取决于模型的细节，例如对流参数化，需要进一步阐明。
更新日期：2020-12-17
中文翻译：
模拟的热带海洋雨团的尺度特征
从印度洋和太平洋暖池以及东太平洋和热带大西洋上的热带辐合带，获得了簇状雨量R的分布指数和簇大小A的尺度指数。区域气候模型降尺度产品。研究的主要目的是将模型集群的缩放特征与从先前已报告的观察中获得的缩放特征进行比较。发现该模型的缩放指数在整个海盆中是不同的，这表明在模拟的降雨簇分布中缺乏通用性。给定A = a时R的条件均值的缩放指数E（R | a）在不同的海盆中被发现是相同的，并且该指数的估计值与从卫星观测到的雨团得到的估计值一致。但是，在模型中，对于簇大小大于中尺度的E（R | a）的尺度，没有发现交叉现象，这与其他基于观察的报道不同。这意味着在该模型中，随着簇大小的降雨强度增强一直持续到天气尺度。通过简单的比例论证，可以相信，在其他地方的观测研究确定的尺度突破之前，该模型很好地模拟了基本的中尺度动力学，从而估算了E（R | a）与观察结果一致。建模和观察到的降雨簇缩放行为之间的缩放过渡的这种差异是否取决于模型的细节，例如对流参数化，需要进一步阐明。
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