scholarly journals On forecasting tracks of tropical disturbances using ATOVS data over Bay of Bengal

MAUSAM ◽  
2021 ◽  
Vol 57 (4) ◽  
pp. 609-618
Author(s):  
R. SURESH ◽  
S. K. KUNDU ◽  
A. K. BHATNAGAR ◽  
R. C. BHATIA
Keyword(s):  
Life Cycle ◽  
Tropical Cyclones ◽  
Bay Of Bengal ◽  
Lead Time ◽  
Moderate Intensity ◽  
Tropical Depression ◽  
Warm Core ◽  
Microwave Sounding Unit ◽  
Microwave Sounding ◽  
Cyclonic Storms

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.   

scholarly journals Genesis and maintenance of "Mediterranean hurricanes"

2005 ◽  
Vol 2 ◽  
pp. 217-220 ◽  
Author(s):  
K. Emanuel
Keyword(s):  
Numerical Simulations ◽  
Mediterranean Sea ◽  
Tropical Cyclones ◽  
Satellite Images ◽  
Baroclinic Instability ◽  
Small Areas ◽  
Warm Core ◽  
Surface Enthalpy ◽  
The Mediterranean ◽  
Cyclonic Storms

Abstract. Cyclonic storms that closely resemble tropical cyclones in satellite images occasionally form over the Mediterranean Sea. Synoptic and mesoscale analyses of such storms show small, warm-core structure and surface winds sometimes exceeding 25ms-1 over small areas. These analyses, together with numerical simulations, reveal that in their mature stages, such storms intensify and are maintained by a feedback between surface enthalpy fluxes and wind, and as such are isomorphic with tropical cyclones. In this paper, I demonstrate that a cold, upper low over the Mediterranean can produce strong cyclogenesis in an axisymmetric model, thereby showing that baroclinic instability is not necessary during the mature stages of Mediterranean hurricanes.

scholarly journals A 13-Year Global Climatology of Tropical Cyclone Warm-Core Structures from AIRS Data

2019 ◽  
Vol 147 (3) ◽  
pp. 773-790 ◽  
Author(s):  
Xiang Wang ◽  
Haiyan Jiang
Keyword(s):  
Core Structure ◽  
Tropical Storms ◽  
Atmospheric Infrared Sounder ◽  
Warm Core ◽  
Microwave Sounding Unit ◽  
Microwave Sounding ◽  
Upper Level ◽  
Core Height ◽  
Temperature Retrieval ◽  
Do So

Abstract There is uncertainty as to whether the typical warm-core structure of tropical cyclones (TCs) is featured as an upper-level warm core or not. It has been hypothesized that data from the satellite-borne Advanced Microwave Sounding Unit (AMSU) are inadequate to resolve a realistic TC warm-core structure. This study first evaluates 13 years of Atmospheric Infrared Sounder (AIRS) temperature retrieval against recent dropsonde measurements in TCs. AIRS can resolve the TC warm-core structure well, comparable to the dropsonde observations, although the AMSU-A retrievals fail to do so. Using 13-yr AIRS data in global TCs, a global climatology of the TC warm-core structure is generated in this study. The typical warm-core height is at the upper level around 300–400 hPa for all TCs and increases with TC intensity: 400 hPa (~8 km) for tropical storms, 300 hPa (~10 km) for category 1–3 hurricanes, 250–300 hPa (~10–11 km) for category 4 hurricanes, and 150 hPa (~14 km) for category 5 hurricanes. The range of warm-core height varies with TC intensity as well. A strong correlation between TC intensity and warm-core strength is found. A weaker but still significant correlation between TC intensity and warm-core height is also found.

scholarly journals Recent very severe tropical cyclones over the Bay of Bengal : Analysis with satellite data

MAUSAM ◽  
2021 ◽  
Vol 57 (1) ◽  
pp. 37-46
Author(s):  
B. R. LOE ◽  
B. L. VERMA ◽  
R. K. GIRI ◽  
S. BALI ◽  
L. R. MEENA
Keyword(s):  
Tropical Cyclones ◽  
Satellite Data ◽  
Bay Of Bengal ◽  
Wave Radiation ◽  
Cyclonic Storm ◽  
The Difference ◽  
Remote Sensing Techniques ◽  
Pseudo Color ◽  
The Impact ◽  
Cyclonic Storms

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.

scholarly journals Role of Sea Surface Temperature in Modulating Life Cycle of Tropical Cyclones over Bay of Bengal

2019 ◽  
Vol 8 (2) ◽  
pp. 68-83 ◽  
Author(s):  
Shyama Mohanty ◽  
Raghu Nadimpalli ◽  
Krishna K. Osuri ◽  
Sujata Pattanayak ◽  
U.C. Mohanty ◽  
...  
Keyword(s):  
Life Cycle ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Tropical Cyclones ◽  
Bay Of Bengal ◽  
Sea Surface

Satellite Analysis of Tropical Cyclones Using the Advanced Microwave Sounding Unit (AMSU)

2000 ◽  
Vol 81 (6) ◽  
pp. 1241-1259 ◽  
Author(s):  
Stanley Q. Kidder ◽  
Mitchell D. Goldberg ◽  
Raymond M. Zehr ◽  
Mark DeMaria ◽  
James F. W. Purdom ◽  
...  
Keyword(s):  
Tropical Cyclones ◽  
Microwave Sounding Unit ◽  
Microwave Sounding ◽  
Advanced Microwave Sounding Unit ◽  
Satellite Analysis

scholarly journals Warm Core Structures in Organized Cloud Clusters Developing or Not Developing into Tropical Storms Observed by the Advanced Microwave Sounding Unit

2010 ◽  
Vol 138 (7) ◽  
pp. 2624-2643 ◽  
Author(s):  
Kotaro Bessho ◽  
Tetsuo Nakazawa ◽  
Shuji Nishimura ◽  
Koji Kato
Keyword(s):  
Temperature Anomaly ◽  
Surface Wind ◽  
Tropical Storms ◽  
Temperature Profiles ◽  
Temperature Anomalies ◽  
Warm Core ◽  
Cloud Clusters ◽  
Microwave Sounding Unit ◽  
Microwave Sounding ◽  
Advanced Microwave Sounding Unit

Abstract The temperature profiles of organized cloud clusters developing or not developing (nondeveloping) into tropical storms (TSs; maximum surface wind &gt;34 kt) over the western North Pacific in 2004 were investigated using Advanced Microwave Sounding Unit (AMSU) observations in combination with the independently created early stage Dvorak analysis. Typical temperature profiles of the developing and nondeveloping cloud clusters were compared. From this comparison, positive upper-troposphere temperature anomalies were found in both cluster types; however, the spatial extent of the temperature anomalies for the developing cloud clusters was larger than those of the nondeveloping cloud clusters. Statistical analysis was performed on the temperature anomalies near the center of all clusters retrieved from AMSU observational data. Findings indicate that the area-average temperature anomalies increased along with the intensity of the clusters indicated by the Dvorak T-number classification. Using time series analysis of upper-level temperature anomalies associated with these cloud clusters, a definition of warm core structures showing the temperature anomaly greater than a threshold (WCT) was created. WCT exists when the area averaged temperature anomaly exceeds 0.9 K. Using this definition, almost 70% of the cloud clusters that had WCTs later became TSs, while 85% of those that did not have WCTs eventually dissipated without being classified as a TS. For the WCT clusters that developed into TSs, the lead time from the detection of their AMSU-based WCT to their classification as TSs was 27.7 h. These results indicate that there is a good possibility that the detection and forecasting of tropical cyclone formation, particularly those storms that later may become classified as TSs, will be improved using temperature anomalies derived from AMSU data.

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