As one of the core visual symbols of Chinese traditional culture,the communication history of auspicious cloud patterns on Central Plains ancient ceramics has great significance.Its contemporary value can be summarize...As one of the core visual symbols of Chinese traditional culture,the communication history of auspicious cloud patterns on Central Plains ancient ceramics has great significance.Its contemporary value can be summarized into four aspects,namely the carrier of cultural inheritance and national identity,the innovative resources of modern design,the media of international cultural exchange and the enlightenment of ecological philosophy.展开更多
The late Warring States Period (475 B.C-221 B.C)Caliber diameter:18.2 cm Bronze with inlaid silver The surfaces of the utensil body and the lid are decorated with cloud patterns by using the inlaid gold or silver fila...The late Warring States Period (475 B.C-221 B.C)Caliber diameter:18.2 cm Bronze with inlaid silver The surfaces of the utensil body and the lid are decorated with cloud patterns by using the inlaid gold or silver filaments and flakes. The decorative patterns are very slim and extremely exquisite.展开更多
Precipitation prediction(PP)have become one of the significant research areas of deep learning(DL)and machine vision(MV)techniques are frequently used to predict the weather variables(WV).Since the climate change has ...Precipitation prediction(PP)have become one of the significant research areas of deep learning(DL)and machine vision(MV)techniques are frequently used to predict the weather variables(WV).Since the climate change has left significant impact upon weather variables(WV)and continuously changes are observed in temperature,humidity,cloud patterns and other factors.Although cloud images contain sufficient information to predict the precipitation pattern but due to changes in climate,the complex cloud patterns and rapid shape changing behavior of clouds are difficult to consider for rainfall prediction.Prediction of rainfall would provide more meticulous assistance to the farmers to know about the weather conditions and to care their cash crops.This research proposes a framework to classify the dark cloud patterns(DCP)for prediction of precipitation.The framework consists upon three steps to classify the cloud images,first step tackles noise reduction operations,feature selection and preparation of datasets.Second step construct the decision model by using convolutional neural network(CNN)and third step presents the performance visualization by using confusion matrix,precision,recall and accuracy measures.This research contributes(1)real-world clouds datasets(2)method to prepare datasets(3)highest classification accuracy to predict estimated as 96.90%.展开更多
Activities of tropical cyclones(TCs)over the Bay of Bengal(BoB)often exert appreciable influences on precipitation in China,but how and to what extent these influences operate remain unclear.This study utilizes the In...Activities of tropical cyclones(TCs)over the Bay of Bengal(BoB)often exert appreciable influences on precipitation in China,but how and to what extent these influences operate remain unclear.This study utilizes the International Best Track Archive for Climate Stewardship(IBTrACS)dataset and infrared satellite images from Japan during1996-2021 to analyze the cloud system structure patterns associated with BoB TCs(excluding tropical depressions)and their impact on China rainfall.A fuzzy c-means clustering method was employed to classify TC cloud clusters into three morphological types:Type“6”(T6)and Type“9”(T9),with cloud distributions predominantly located north(south)of the TC center;and type“symmetry”(TSM),with relatively balanced cloud distributions on both sides.The results indicate that T6(41.3%)occurs most frequently in autumn,T9(31.2%)peaks in early summer,and TSM(27.5%)also shows a slight preference for autumn.Distinct circulation features are associated with each type.At 500 hPa over the Qinghai-Xizang Plateau(QXP),T6 is associated with the southern branch trough,T9 with straight westerlies,and TSM with a ridge.At 200 hPa,both centers of T6 and TSM are located at the periphery of the South Asian high(SAH),with enhanced upper-level divergence outflows,resulting in northward extension of cloud clusters under the influence of the westerly jet.In contrast,T9 TCs are embedded within the SAH,where weaker divergence outflows restrict northward cloud development.All three types are characterized by a column-integrated water vapor channel extending from the BoB to southern China,with T9 exhibiting the strongest moisture transport to China.Precipitation analyses reveal that all three types contribute to rainfall in Yunnan Province and the Guangxi Zhuangzu Zizhiqu.Moreover,T6 produces heavier rainfall in southern Xizang Zizhiqu(abbreviated as Xizang hereafter),T9 in Yunnan Province,and TSM in Sichuan Province and Xizang.Remote precipitation induced by TC longdistance moisture transport also exhibits distinct patterns:under T6,high-rainfall areas are widely distributed across southwestern China and parts of southern China;under T9,heavy rainfall is concentrated in southern China;and under TSM,heavy rainfall is mainly confined to Guangdong and Jiangxi provinces.These results provide useful insights for precipitation forecasting in China based on the cloud cluster patterns of the BoB TCs.展开更多
基金Supported by Open Project of Henan Key Laboratory of Research for Central Plains Ancient Ceramics in 2018(ZYGTCXN2018-05).
文摘As one of the core visual symbols of Chinese traditional culture,the communication history of auspicious cloud patterns on Central Plains ancient ceramics has great significance.Its contemporary value can be summarized into four aspects,namely the carrier of cultural inheritance and national identity,the innovative resources of modern design,the media of international cultural exchange and the enlightenment of ecological philosophy.
文摘The late Warring States Period (475 B.C-221 B.C)Caliber diameter:18.2 cm Bronze with inlaid silver The surfaces of the utensil body and the lid are decorated with cloud patterns by using the inlaid gold or silver filaments and flakes. The decorative patterns are very slim and extremely exquisite.
文摘Precipitation prediction(PP)have become one of the significant research areas of deep learning(DL)and machine vision(MV)techniques are frequently used to predict the weather variables(WV).Since the climate change has left significant impact upon weather variables(WV)and continuously changes are observed in temperature,humidity,cloud patterns and other factors.Although cloud images contain sufficient information to predict the precipitation pattern but due to changes in climate,the complex cloud patterns and rapid shape changing behavior of clouds are difficult to consider for rainfall prediction.Prediction of rainfall would provide more meticulous assistance to the farmers to know about the weather conditions and to care their cash crops.This research proposes a framework to classify the dark cloud patterns(DCP)for prediction of precipitation.The framework consists upon three steps to classify the cloud images,first step tackles noise reduction operations,feature selection and preparation of datasets.Second step construct the decision model by using convolutional neural network(CNN)and third step presents the performance visualization by using confusion matrix,precision,recall and accuracy measures.This research contributes(1)real-world clouds datasets(2)method to prepare datasets(3)highest classification accuracy to predict estimated as 96.90%.
基金Supported by the National Natural Science Foundation of China(42475015,41930972,and 42005141)。
文摘Activities of tropical cyclones(TCs)over the Bay of Bengal(BoB)often exert appreciable influences on precipitation in China,but how and to what extent these influences operate remain unclear.This study utilizes the International Best Track Archive for Climate Stewardship(IBTrACS)dataset and infrared satellite images from Japan during1996-2021 to analyze the cloud system structure patterns associated with BoB TCs(excluding tropical depressions)and their impact on China rainfall.A fuzzy c-means clustering method was employed to classify TC cloud clusters into three morphological types:Type“6”(T6)and Type“9”(T9),with cloud distributions predominantly located north(south)of the TC center;and type“symmetry”(TSM),with relatively balanced cloud distributions on both sides.The results indicate that T6(41.3%)occurs most frequently in autumn,T9(31.2%)peaks in early summer,and TSM(27.5%)also shows a slight preference for autumn.Distinct circulation features are associated with each type.At 500 hPa over the Qinghai-Xizang Plateau(QXP),T6 is associated with the southern branch trough,T9 with straight westerlies,and TSM with a ridge.At 200 hPa,both centers of T6 and TSM are located at the periphery of the South Asian high(SAH),with enhanced upper-level divergence outflows,resulting in northward extension of cloud clusters under the influence of the westerly jet.In contrast,T9 TCs are embedded within the SAH,where weaker divergence outflows restrict northward cloud development.All three types are characterized by a column-integrated water vapor channel extending from the BoB to southern China,with T9 exhibiting the strongest moisture transport to China.Precipitation analyses reveal that all three types contribute to rainfall in Yunnan Province and the Guangxi Zhuangzu Zizhiqu.Moreover,T6 produces heavier rainfall in southern Xizang Zizhiqu(abbreviated as Xizang hereafter),T9 in Yunnan Province,and TSM in Sichuan Province and Xizang.Remote precipitation induced by TC longdistance moisture transport also exhibits distinct patterns:under T6,high-rainfall areas are widely distributed across southwestern China and parts of southern China;under T9,heavy rainfall is concentrated in southern China;and under TSM,heavy rainfall is mainly confined to Guangdong and Jiangxi provinces.These results provide useful insights for precipitation forecasting in China based on the cloud cluster patterns of the BoB TCs.
