On unravelling mechanism of interplay between cloud and large scale circulation: a grey area in climate science

De, S.; Agarwal, Neeraj; Hazra, Anupam; Chaudhari, Hemantkumar S.; Sahai, A. K.

doi:10.1007/s00382-018-4211-6

Cited by 7 publications

(3 citation statements)

References 46 publications

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“…In order to cultivate high-quality talents, students should not only master professional course knowledge but also have good English skills, so as to adapt to the competitive environment of modern society and constantly create personal value. Despite the fact that many colleges and universities realize the value of practice, owing to the constraints of many objective conditions, reference [18] using the big data analysis approach, many colleges and universities recognize the relevance of practice. For example, the limited space and the lack of teaching equipment make the public English course formalized, which greatly reduces the students' learning enthusiasm and affects the effect of teaching.…”

Section: Related Workmentioning

confidence: 99%

Construction of Public English Curriculum System Based on Cloud Interactive Teaching Mode and Cloud Computing

Zhou

2022

Wireless Communications and Mobile Computing

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English teaching can be divided into two complementary ways: classroom teaching and neural network autonomous learning, namely, physical English teaching and virtual English teaching. On the cloud interaction and cloud computing platform, teachers upload teaching resources, and students can view learning resources, submit assignments, and interact through mobile terminals such as mobile phones, notebooks, and iPads, so as to achieve all-round teacher-student interaction that breaks through time and space constraints and create a “live” classroom for ubiquitous English learning. This paper constructs a public English curriculum system based on the “cloud interaction” teaching mode. This model fully combines the actual English level of students and adopts practical teaching methods in both classroom introduction and classroom teaching. The model lets students easily integrate into regular learning activities, interpret language on the examples and life fragments around students, and accept language naturally and improves the effect of language teaching.

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Section: Related Workmentioning

confidence: 99%

Construction of Public English Curriculum System Based on Cloud Interactive Teaching Mode and Cloud Computing

Zhou

2022

Wireless Communications and Mobile Computing

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“…However, the improper simulation of clouds, precipitation and circulation is still persistent for many new‐generation models (Chaudhari et al, 2018; Dutta et al, 2022a). De et al (2019) emphasized that the interaction between cloud and large‐scale circulation remains “a grey area” of climate science. Goswami et al (2003) hypothesized that the variability of synoptic activities (i.e., lows and depressions) significantly impacts the quanta of ISMR through the modulation of large‐scale circulation.…”

Section: Introductionmentioning

confidence: 99%

Role of mean, variability and teleconnection of clouds behind Indian summer monsoon rainfall

Hazra

Dutta

Chaudhari

et al. 2023

Intl Journal of Climatology

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Skilful prediction of the seasonal Indian summer monsoon (ISM) rainfall (ISMR) at least one season in advance has great socio-economic value. The ISM is a lifeline for about a sixth of the world's population. The ISMR prediction remained a challenging problem with the subcritical skills of the dynamical models due to a limited understanding of the interaction among clouds, convection and circulation. In this study, we have analysed the seasonal mean of high cloud fraction, ice mixing ratio and ice cloud fraction from satellite and reanalysis and demonstrated their importance for ISM. The variability of the mixing ratio of cloud ice in different time scales (3-7 days, 10-20 days and 30-60 days bands) is also examined from reanalysis during ISM. Here, we have shown the teleconnection of different cloud variables over the ISM region with global sea surface temperature. We found that they are tied with slowly varying forcing (e.g., El Niño and Southern Oscillation). Besides, the correlation of cloud ice with different indices (Niño, Pacific Decadal Oscillation, North Atlantic Oscillation and Extratropics) may enhance the potential predictability of ISMR. The representation of deep convective clouds, which involve the icephase processes in a coupled climate model, strongly modulates ISMR variability in association with global predictors. The results from the two sensitivity simulations using coupled global climate model (CGCM) demonstrate the importance of the cloud ice on ISM rainfall predictability. Therefore, this study provides a scientific basis for improving the simulation of the seasonal ISMR by developing the physical processes of the cloud on a subseasonal time scale and motivating further research in this direction.

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“…This constitutes uncertainties in future climate change projections (Kiran et al, 2015) and thus, it is essential to analyse the temporal and spatial variations of cloud distribution. Although several investigations have been conducted at regional and global scales to examine the climatologies and trends of cloud cover in the last decades (Clark and Walsh, 2010;Wu et al, 2012;Rajeevan et al, 2013;Hazra et al, 2015;Free et al, 2016;Abhik et al, 2017;Goswami et al, 2017;Danso et al, 2019;De et al, 2019;Fu et al, 2019;Jiang et al, 2019;Zhao et al, 2019;Yang et al, 2020;Yousef et al, 2020), there is a significant gap in the literature regarding the Korean Peninsula, despite its crucial role in understanding the link between East Asia and the Pacific Ocean cloud formation. This type of assessment in cloud studies can add a practical application for understanding and forecasting meteorological risk situations.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal variability of total cloud cover measured by visual observation stations and their comparison with ERA5 reanalysis over South Korea

Ansari

Bae

Lee

2020

Intl Journal of Climatology

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This analysis investigates the spatiotemporal variation of total cloud cover (TCC) across South Korea from 96 visual observation stations (VOS) during the years 2010-2019. The thin-plate spline interpolation technique is used to interpolate the spatial variation of TCC within the country. The annual average of TCC distribution is closely related to topographical features and does not show excessive variation, with 50-56% over land. The seasonal TCC distribution has the lowest (highest) pattern in spring (summer), with a minimum (maximum) pattern of approximately 45% (95%). The lowest pattern in spring and highest pattern in summer may be due to the combined effect of lower cloud cover with TCC during March, and higher cloud cover with TCC from June to July. Interpolated VOS data are compared with the TCC obtained from ERA5 reanalysis products. The correlation coefficient between VOS and ERA5 is higher than 0.80 on the eastern coast, and approximately 0.20-0.40 on the western coast, indicating a strong and poor sampling effect. The largest variability between VOS and ERA5 is observed during the winter season, with a percentage deviation of −70-20%, possibly due to inaccurate cloud detection under cold low-level atmospheric temperatures or snow cover. In summer, variability is −35-40%, which is slightly less than that in winter, possibly because of the incorrect detection of frequently occurring cumulus clouds. Principal component analysis of the TCC variability used to examine the relationship with other climate parameters. The first principal component, containing the major portion, correlated with precipitation, diurnal temperature, humidity, atmospheric pressure, and wind speed, with correlation coefficients of 0.293, 0.246, −0.360, −0.258, and 0.470, respectively, indicating positive or negative relationship. We believe the outcomes from this study will contribute a better understanding of climate over South Korea and establish links between East Asia and the Pacific Ocean cloud formation.

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On unravelling mechanism of interplay between cloud and large scale circulation: a grey area in climate science

Cited by 7 publications

References 46 publications

Construction of Public English Curriculum System Based on Cloud Interactive Teaching Mode and Cloud Computing

Construction of Public English Curriculum System Based on Cloud Interactive Teaching Mode and Cloud Computing

Role of mean, variability and teleconnection of clouds behind Indian summer monsoon rainfall

Spatiotemporal variability of total cloud cover measured by visual observation stations and their comparison with ERA5 reanalysis over South Korea

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