Possible future changes in cyclonic storms in the Bay of Bengal, India under warmer climate

2014 ◽  
Vol 35 (7) ◽  
pp. 1267-1277 ◽  
Author(s):  
P. Parth Sarthi ◽  
Anubha Agrawal ◽  
A. Rana
1986 ◽  
Vol 6 (2) ◽  
pp. 149-160 ◽  
Author(s):  
D. A. Mooley ◽  
C. M. Mohile

MAUSAM ◽  
2022 ◽  
Vol 53 (2) ◽  
pp. 215-224
Author(s):  
R. SURESH ◽  
S. RENGARAJAN

The tracks of three cyclonic storms over Bay of Bengal and one over Arabian Sea during 1998 have been analysed using the TOVS data  received at Chennai from NOAA satellites. Midtropospheric warmness between 700 and 400 hPa levels which protrudes about 300 to 700 km ahead of the storm acts as precursor to foreshadow the storm movement and predict the landfall about 6 to 24 hrs in advance. This technique has successfully predicted even the peculiar southward movement of Bay storm (28 November  to 7 December, 1996).


MAUSAM ◽  
2021 ◽  
Vol 57 (1) ◽  
pp. 37-46
Author(s):  
B. R. LOE ◽  
B. L. VERMA ◽  
R. K. GIRI ◽  
S. BALI ◽  
L. R. MEENA

lkj & bl 'kks/k&i= esa caxky dh [kkM+h ds m".kdfVca/kh; pØokrksa dh rhozrk dk vkdyu vkSj pØokr ds ekxZ dk iwokZuqeku yxkus esa mixzg ds vk¡dM+ksa ls cus izHkko dks n’kkZ;k x;k gSA bl 'kks/k&i= esa ys[kdksa us pØokrh rwQkuksa ds ekxZ dk] pØokr ds cuus dk vkSj pØokr dh xfrfof/k;ksa dk irk yxkus esa mixzg ds vk¡dM+ksa ds mi;ksx dks vuqdwy cukus esa lqnwj laosnh rduhdksa dh gky gh esa feyh lQyrk vkSj mlds mi;ksx dh izxfr ij fo’ks"k :Ik ls /;ku dsfUnzr fd;k gSA nks pØokrksa dk fo’ys"k.k fd;k x;k gS & 16 ls 19 ebZ 2004 esa E;kaekj esa vk;k izpaM pØokrh rwQku vkSj nwljk 26 ls 31 vDrwcj 1999 esa mM+hlk esa vk;k pØokrA pØokrh rwQkuksa ds cuus vkSj muds vkxs c<+us ds iwokZuqeku esa vfr mPp foHksnu jsfM;ksehVj ¼oh- ,p- vkj- vkj-½ vk¡dM+ksa] LdsVªksehVj iouksa vkSj cfgxkZeh nh?kZrjax fofdj.k ¼vks- ,y- vkj-½ ds pØokrksa ds vkl&ikl Ñf=e o.kZ esa n’kkZ, x, vk¡dM+ksa dk mi;ksx djrh gqbZ mixzg ij vk/kkfjr rduhd cgqr vf/kd mi;ksxh ikbZ xbZ gSA bl v/;;u esa caxky dh [kkM+h esa vk, nks pØokrksa ds cuus vkSj muds vkxs c<+us dh vlekurk dks fo’ks"k :Ik ls crk;k x;k gSA This paper shows the impact made by the satellite data in the intensity estimation and track prediction of tropical cyclones of Bay of Bengal. The authors in this paper have focused on the recent accomplishment and advances in the remote sensing techniques to optimize the use of satellite data in tracking, formation and movement of cyclonic storms. Two cyclones - firstly the Myanmar severe cyclonic storm of 16 to 19 May 2004 and secondly the          26 – 31 October 1999 Orissa cyclone have been analysed. Satellite based technique using Very High Resolution Radiometer (VHRR) data, scatterometer winds and outgoing long wave radiation (OLR) data in pseudo color around the cyclones have been found to be more useful in predicting formation and movement of cyclonic storms. The present study has significantly brought out the difference in formation and movement of the two cyclones formed over the Bay of Bengal.


MAUSAM ◽  
2021 ◽  
Vol 57 (4) ◽  
pp. 609-618
Author(s):  
R. SURESH ◽  
S. K. KUNDU ◽  
A. K. BHATNAGAR ◽  
R. C. BHATIA

lkj &,d m".kdfVca/kh; vonkc ds thou pØ ds vkadMs+ rFkk nks m".kdfVca/kh; pØokrh rwQkuksa ds o"kZ 2002&03 dh vof/k ds vkadMs+ mPp Vh- vks- oh- ,l- ¼,- Vh- vks- oh- ,l-½ /kzqod{kh; mixzgksa ,u- vks- ,- , 15 rFkk 16] ftuesa mPp lw{e rjaxh; ifjKkiu bdkbZ ¼,- ,e- ,l- ;w½ yxh gqbZ gaS ls izkIr fd, x, gSa ftudk fo’ys"k.k bu rwQkuksa ds ekxZ dk iwokZuqeku djus ds fy, fd;k x;k gSA bu ekSle fo{kksHkksa ds 700&400 gsDVkikLdy ¼gs-ik-½ Lrj esa e/; {kksHkeaMyh; m".krk e/; Lrjh ckfgokZg ds dkj.k gksrh gS tks rwQku ds 200&700 fd-eh- vkxs rd foLrkfjr gksrh gS rFkk fo{kksHkksa dh xfr’khyrk dk djhc 6 ls 24 ?kaVs igys iwokZuqeku djus esa iwoZ ladsrd dk dk;Z djrh gSA ;g fo{kksHk yxHkx mlh v{k dks vuqxeu djrk gS tks e/; {kksHkeaMy esa foLrkfjr ¼vkxs c<s+ gq,½ ftg~okdkj m".k {ks= dks dsUnz ls tksM+rk gSA e/;e rhozrk okys nks HkweaMyh; pØokrksa dh fLFkfr esa tc 7º ls 13º lsfYl;l rkieku dk m"edksj Åijh {kksHkeaMyh; Lrj ¼250&200 gs-ik-½ ds djhc dsafnzr jgk ml le; vonkc dh fLFkfr esa fdlh fo’ks"k m".krk dk irk ugha      pyk gSA  Advanced TOVS (ATOVS), comprising the Advanced Microwave Sounding Unit (AMSU), data obtained from polar orbiting satellites NOAA 15 and 16 during the life cycle of a tropical depression and two tropical cyclonic storms during 2002-03 have been analysed to predict the track of these disturbances.  The mid-tropospheric warming due to altostratus outflow from these weather disturbances in the layer 700 – 400 hPa which protrudes about  200 -700 km ahead the storm acts as a pre-cursor to predict the movement of the disturbances with a lead time of about      6 to 24 hours. The disturbance almost follows the axis connecting the centre with the warm tongue that protrudes ahead of  the disturbance in the mid-troposphere. While warm core of 7 to 13° C is centered around the upper tropospheric level (250 – 200 hPa) in the case the two moderate intensity tropical cyclones, no significant warmness could be seen in the depression stage.   


MAUSAM ◽  
2021 ◽  
Vol 59 (1) ◽  
pp. 51-68
Author(s):  
A. MUTHUCHAMI ◽  
S. SRIDHARAN

Using NCEP/NCAR reanalysis data and from the available data on tracks of the storms from India Meteorological Department for the period 1981-2005 an attempt is made to understand the intensification of storms and their movements in the Bay of Bengal during post-monsoon season. It is noticed that in the month of October only 12 % of the cyclonic storms weakened whereas in November and December it is 28 % and 41 % respectively. Cyclonic storms moving in a northeast direction weaken in all the months of post-monsoon season. Most of the westward moving storms do not undergo weakening. In the Bay of Bengal, SST and relative humidity are not responsible for weakening of the storms except in December but wind shear is responsible for weakening. The orientation of isotherms of SST of Bay of Bengal influences the direction of motion.  During the years when the storms are predominantly moving west/northwest the SST over the Bay of Bengal is about 1.0° C warmer than the years when the storms are predominantly moving in north/northeastward. If the isotherms of SST are oriented southwest-northeast with higher value in the east then system may move in north or northeastward and on such occasions east Bay of Bengal is warmer than west Bay of Bengal.


2003 ◽  
Vol 23 (9) ◽  
pp. 1119-1125 ◽  
Author(s):  
Md. Mahbub Alam ◽  
Md. Arif Hossain ◽  
Sultana Shafee

2011 ◽  
Vol 24 (1) ◽  
pp. 140-158 ◽  
Author(s):  
Amato T. Evan ◽  
Suzana J. Camargo

Abstract On average 1–2 tropical cyclones form over the Arabian Sea each year, and few of these storms are intense enough to be classified as very severe or super cyclonic storms. As such, few studies have explicitly identified the seasonal to interannual changes in environmental conditions that are associated with Arabian Sea tropical cyclogenesis. However, over the last 30 yr several intense Arabian storms did form and make landfall, with large impacts, which motivates this new study of the basin. The conclusions of earlier studies are visited by utilizing modern observational and reanalysis data to identify the large-scale features associated with Arabian tropical cyclone variability on seasonal time scales. Then year-to-year changes in environmental conditions that are related to interannual variability in Arabian storms during the pre- and postmonsoon periods are elucidated. The analysis of the relationship between large-scale environmental variables and seasonal storm frequency supports conclusions from work completed more than 40 yr prior. Investigation of the year-to-year changes in premonsoon storm frequency suggests that May (June) storms are associated with an early (late) onset of the southwest monsoon. The findings also demonstrate that November cyclones (the month when the majority of postmonsoon cyclogenesis occurs) primarily form during periods when the Bay of Bengal experiences a broad region of high sea level pressure, implying that November storms form in either the Arabian Sea or the Bay of Bengal but not in both during the same year. Finally, the analysis of changes in a genesis potential index suggests that long-term variability in the potential for a storm to form is dictated by changes in midlevel moisture.


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