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Tropical cyclone track and intensity prediction skill of GFS model over NIO during 2019&2020

Tropical Cyclone research and review 2022年第1期11卷 36-49页

作者： Ch.Sridevi D.r.Pattanaik A.K.Das Akhil Srivastava v.r.durai C.J.Johny Medha Deshpande P.Suneetha radhika Kanase India Meteorological Department Numerical Weather Prediction DivisionLodhi RoadNew Delhi110003India Indian Institute of Tropical Meteorology MoESPune411008India Dept of Meteorology and Oceanography Andhra UniversityVisakhapatnamAndhra Pradesh530003India

The Tropical Cyclone(TC)track prediction using different NWP models and its verification is the critical task to provide prior knowledge about the model errors,which is beneficial for giving the model guidance-based real-time cyclone warning *** study has attempted to verify the Global Forecast System(GFS)model forecasted tropical cyclone track and intensity over the North Indian Ocean(NIO)for the years 2019 and *** is one of the operational models in the India Meteorological Department(IMD),which provides the medium-range weather forecast up to 10 *** forecasted tracks from the GFS forecast are obtained using a vortex tracker developed by Geophysical Fluid Dynamics Laboratory(GFDL).A total of 13 tropical cyclones formed over the North Indian Ocean,eight during 2019 and five in 2020 have been considered in this *** accuracy of the model predicted tracks and intensity is verified for five days forecasts(120 h)at 6-h intervals;the track errors are verified in terms of Direct Position Error(DPE),Along Track Error(ATE)and Cross-Track Error(CTE).The annual mean DPE over NIO during 2019(51–331 km)is lower than 2020(82–359 km),and the DPE is less than 150 km up to 66 h during 2019 and 48 h during *** positive ATE(76–332 km)indicates the predicted track movement is faster than the observed track during both *** positive CTE values for most forecast lead times suggest that the predicted track is towards the right side of the observed track during both *** cyclone Intensity forecast for the maximum sustained wind speed(Max WS)and central mean sea level pressure(MSLP)are verified in terms of mean error(ME)and root mean square error(rMSE).The errors are lead time ***,most of the time model under-predicted the cyclone intensity during both ***,there is a significant variance in track and intensity errors from the cyclone to cyclone and Bay of Bengal basin to the Arabian Sea basin.

关键词： Tropical cyclone Track prediction GFS NWP Global model GFDL

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Optoelectronic and electrochemical behaviour of γ-CuI thin films prepared by solid iodination process

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Progress in Natural Science:Materials International 2019年第5期29卷 533-540页

作者： Karthik Kumar Chinnakutti vengatesh Panneerselvam durai Govindarajan Ajith kumar Soman Kuppusami Parasuraman Shyju Thankaraj Salammal Centre of Excellence for Energy research Sathyabama Institute of Science and Technology Centre for Nanoscience and Nanotechnology Sathyabama Institute of Science and Technology

A simple and efficient solid iodination method has been proposed for the fabrication of p-type γ-CuI thin *** structural,morphological,optical,electrical and electrochemical properties have been investigated in order to serve as an effective hole-transporting layer in solid-state solar *** fabricated films exhibited p-type conductivity with resistivity of 7.0×10;Ωcm,the hole concentration of ～1.13×10;cm;and the mobility of 18.34 cm;v;s;.The cyclic voltammetry result shows a maximum specific capacitance of 43 mF/cm;at a scan rate of 10 mv/*** cyclic stability and capacitance retention were found to be 99.7%.These findings demonstrate that γ-CuI film can be a potential candidate for multiple applications,such as a hole transporting material for solid-state solar cells and electrochemical supercapacitor.

关键词： Copper iodide Solid iodination Hole mobility Cyclic voltammetry

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