scholarly journals APPLICATION OF REMOTE SENSING IN THE STUDY OF MONSOON ENERGETICS OVER BAY OF BENGAL DURING SUMMER MONSOON

MAUSAM ◽  
2022 ◽  
Vol 45 (4) ◽  
pp. 303-314
Author(s):  
V. K. GOSWAMI ◽  
D. N. SIKDAR

IIAR ~ , rR;\CT All attempt has been made 10 slUd )' tho roon soon c ne rgeucs over Bil)' of Hengal by stu, lying th ecloud and monsoon depression field s during sum mer monsoon using 11 ROS ·N sa telli te ima ge ri es . Th e i UU h Pakinetic ft amn-s. ,-.g . vergen ce. vortic ity and vertical vclochics fur Hfcw selected ph ases in th e Ray ufHen gal .luring 27JUll("-6 Allgn ..l l Q"7lj within the 10° X Ill o grid box (it" . IS-!5 °N & ~5 0 95 ° E ) wt're computed. Next. th e kinematicIeamres o f n rypi cul disturbed phase (5-7 Jul y 1979) we re studied in a Lagrangian frame by using drop wind so n' lednm of 1 S n"!'ic;lr..: h ai rcrutt. The data profiles II a nd I' him:' been drawn 10 idemit'y the evolutiona ry femll~ ." of finassociau- I 111 1111 snnn depression.Fol lr wing Such ruau rr 111 ( I ~77) and the cln ud d lls l" r ~ltJ.t ics of (jnsw:uui t." nt , (I 'J9U): th l"wo plausible lIlod elsof Il1ntt s tlon dL'p lr ..."i n l1 hil\"l' been posmhued in lerms of C lusl er ClJ ~ l eSl.:e n ..:e Theory (CCn and Ginn! e lu slernl ~lr)· (( iCl"!The '(" nl en l 1l1 11. ~' d rClllntiuns 'Ailhin an ll a ruun,t Ihe lllunsuon d lopres..,iol1 wcn.- inl l.-ne,l hy making ll ~e ofGt }F.S im a!:l' l·l ·il-" Th " kinemal ic stud ies have rew ala l that th e h ighe r vH lues of \'ertical veloci ties , posi ti\ 'c \·.. r1icilylind \'t'll.l' C" '11.'1' c n lT,,~p h ll d w jlll lhe max imuUl cooncct in ' cloud ..:o\'e rllge 1';SoO-\'; .f fClnuing and mntu re stages ormo nSllllll d C")lll' , !, icl11

2016 ◽  
Author(s):  
Imran A. Girach ◽  
Narendra Ojha ◽  
Prabha R. Nair ◽  
Andrea Pozzer ◽  
Yogesh K. Tiwari ◽  
...  

Abstract. We present ship-borne measurements of surface ozone, carbon monoxide and methane over the Bay of Bengal (BoB), the first time such measurements have been taken during the summer monsoon season, as a part of the Continental Tropical Convergence Zone (CTCZ) experiment during 2009. O3, CO, and CH4 mixing ratios exhibited significant spatial and temporal variability in the ranges of 8–54 nmol mol−1, 50–200 nmol mol−1, and 1.57–2.15 µmol mol−1, with means of 29.7 ± 6.8 nmol mol−1, 96 ± 25 nmol mol−1, and 1.83 ± 0.14 µmol mol−1, respectively. The average mixing ratios of trace gases over northern BoB (O3: 30 ± 7 nmol mol−1, CO: 95 ± 25 nmol mol−1, CH4: 1.86 ± 0.12 µmol mol−1), in airmasses from northern or central India, did not differ much from those over central BoB (O3: 27 ± 5 nmol mol−1, CO: 101 ± 27 nmol mol−1, CH4: 1.72 ± 0.14 µmol mol−1), in airmasses from southern India. Spatial variability is observed to be most significant for CH4. The ship-based observations, in conjunction with backward air trajectories and ground-based measurements over the Indian region, are analyzed to estimate a net ozone production of 1.5–4 nmol mol−1 day−1 in the outflow. Ozone mixing ratios over the BoB showed large reductions (by ~ 20 nmol mol−1) during four rainfall events. Temporal changes in the meteorological parameters, in conjunction with ozone vertical profiles, indicate that these low ozone events are associated with downdrafts of free-tropospheric ozone-poor airmasses. While the observed variations in O3 and CO are successfully reproduced using the Weather Research and Forecasting model with Chemistry (WRF-Chem), this model overestimates mean concentrations by about 20 %, generally overestimating O3 mixing ratios during the rainfall events. Analysis of the chemical tendencies from model simulations for a low-O3 event on August 10, 2009, captured successfully by the model, shows the key role of horizontal advection in rapidly transporting ozone-rich airmasses across the BoB. Our study fills a gap in the availability of trace gas measurements over the BoB, and when combined with data from previous campaigns, reveals large seasonal amplitude (~ 39 and ~ 207 nmol mol−1 for O3 and CO, respectively) over the northern BoB.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Dhrubajyoti Samanta ◽  
Saji N. Hameed ◽  
Dachao Jin ◽  
Vishnu Thilakan ◽  
Malay Ganai ◽  
...  

2011 ◽  
Vol 24 (16) ◽  
pp. 4466-4479 ◽  
Author(s):  
Sun Wong ◽  
Eric J. Fetzer ◽  
Baijun Tian ◽  
Bjorn Lambrigtsen ◽  
Hengchun Ye

Abstract The possibility of using remote sensing retrievals to estimate apparent water vapor sinks and heat sources is explored. The apparent water vapor sinks and heat sources are estimated from a combination of remote sensing, specific humidity, and temperature from the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit (AIRS) and wind fields from the National Aeronautics and Space Administration (NASA)’s Goddard Space Flight Center (GSFC)’s Modern Era Retrospective-Analysis for Research and Applications (MERRA). The intraseasonal oscillation (ISO) of the Indian summer monsoon is used as a test bed to evaluate the apparent water vapor sink and heat source. The ISO-related northward movement of the column-integrated apparent water vapor sink matches that of precipitation observed by the Tropical Rainfall Measuring Mission (TRMM) minus the MERRA surface evaporation, although the amplitude of the variation is underestimated by 50%. The diagnosed water vapor and heat budgets associated with convective events during various phases of the ISO agree with the moisture–convection feedback mechanism. The apparent heat source moves northward coherently with the apparent water vapor sink associated with the deep convective activity, which is consistent with the northward migration of the precipitation anomaly. The horizontal advection of water vapor and dynamical warming are strong north of the convective area, causing the northward movement of the convection by the destabilization of the atmosphere. The spatial distribution of the apparent heat source anomalies associated with different phases of the ISO is consistent with that of the diabatic heating anomalies from the trained heating (TRAIN Q1) dataset. Further diagnostics of the TRAIN Q1 heating anomalies indicate that the ISO in the apparent heat source is dominated by a variation in latent heating associated with the precipitation.


2018 ◽  
Vol 35 (2) ◽  
pp. 218-223
Author(s):  
D. M. Chate ◽  
R. T. Waghmare ◽  
C. K. Jena ◽  
V. Gopalakrishnan ◽  
P. Murugavel ◽  
...  

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