Study pre- and post-monsoon storms over NIO region using high resolution IMDAA reanalysis dataset

被引:0
作者
A. Routray
Devajyoti Dutta
Srinivas Desamsetti
Shivaji Singh Patel
John P. George
V. S. Prasad
机构
[1] National Centre for Medium Range Weather Forecasting (NCMRWF),
[2] Ministry of Earth Sciences (MoES),undefined
来源
Climate Dynamics | 2024年 / 62卷
关键词
IMDAA reanalysis; Kernel density estimation; Tropical cyclones; Translation speed; NIO basins;
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中图分类号
学科分类号
摘要
This study analyzed the suitability of using high resolution IMDAA reanalysis for understanding the tropical storms in the North Indian Ocean (NIO). The study evaluates the performance of IMDAA reanalysis by considering 197 storms at different categories (depression to super-cyclone) during the period 1979–2018 over the NIO. It is considered (i) oceanic basins (ii) season of occurrence, (iii) straight movers and recurving/looping storms and (iv) storm intensities. The location and intensity errors of the storms represented in IMDAA are calculated against IMD's best-estimated tracks. The distribution of genesis points of storms has been calculated using the Kernel density estimation approach (KDE). It is noticed that the distribution of storm genesis locations over both the NIO basins, Arabian Sea (AS) and Bay of Bengal (BoB), are displaced in IMDAA reanalysis, both latitudinally and longitudinally, from the observed genesis location. It is also noticed that mean genesis errors are high in the pre-monsoon season as compared to the post-monsoon, in both basins. But the errors are lesser in BoB compared to AS storms in both the cyclone seasons. The IMDAA reanalysis well represented the storm movement with fewer track errors in the case of higher intensity categories of the storm than the low (weaker intensity) category of storms. The right or eastward bias and fast movement of cyclones are observed in the IMDAA reanalysis, which are reduced steadily in the higher categories of TCs mainly in the BoB, and NIO as a whole. The landfall errors (position and time) of the storms are reasonably reduced in recent decades in IMDAA over all the basins than past decades, which may be due availability of more satellite observations. IMDAA reanalysis captured the translation speed of storms from NIO and BoB reasonably well in most of the cases mainly at higher categories of TCs. It is comprehended that the TC intensities are considerably underestimated in IMDAA reanalysis as compared to the observations. Overall, the tracks of the storms are well represented but the intensity and properties associated with the TC environments are not as good in IMDAA reanalysis.
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页码:555 / 574
页数:19
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[1]  
Aberson SD(1999)Impact on hurricane track and intensity forecasts of GPS dropwindsonde observations from the first-season flights of the NOAA Gulfstream-IV jet aircraft Bull Am Meteorol Soc 80 421-427
[2]  
Franklin JL(2011)An observing system experiment for tropical cyclone targeting techniques using the Global Forecast System Mon Weather Rev 139 895-907
[3]  
Aberson SD(2013)Assimilation of high-resolution tropical cyclone observations with an ensemble Kalman filter using NOAA/AOML/HRD’s HEDAS: evaluation of the 2008–11 vortex-scale analyses Mon Weather Rev 141 1842-1865
[4]  
Majumdar SJ(2020)IMDAA regional reanalysis: performance evaluation during Indian summer monsoon season J Geophys Res Atmos 125 590-612
[5]  
Reynolds CA(2006)Leading tropical modes associated with interannual and multidecadal fluctuations in North Atlantic hurricane activity J Clim 19 194-1782
[6]  
Etherton BJ(2019)Trends in the genesis and landfall locations of tropical cyclones over the Bay of Bengal in the current global warming era J Earth Syst Sci 128 1759-597
[7]  
Aksoy A(2005)A new dynamical core for the Met Office's global and regional modelling of the atmosphere Q J R Meteorol Soc 131 553-3567
[8]  
Aberson SD(2011)The ERA-Interim reanalysis: configuration and performance of the data assimilation system Q J R Meteorol Soc 137 3545-1054
[9]  
Vukicevic T(2021)Changing status of tropical cyclones over the north Indian Ocean Clim Dyn 57 1035-5509
[10]  
Sellwood KJ(2019)Simulation of a heavy rainfall event during southwest monsoon using high-resolution NCUM-modeling system: a case study Meteorol Atmos Phys 131 5497-314