MAUSAM
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Published By India Meteorological Department

0252-9416
Updated Sunday, 16 January 2022

MAUSAM ◽  
2022 ◽  
Vol 46 (2) ◽  
pp. 204-206
Author(s):  
B. D. KULKARNI ◽  
P. R. RAKHECHA

MAUSAM ◽  
2022 ◽  
Vol 46 (2) ◽  
pp. 187-192
Author(s):  
S. N. BHATTACHARYA ◽  
K.C. SINHA RAY ◽  
H. N. SRIVASTAVA

 Fractal dimension of the chaotic attractor for earthquake sequence in Nurek dam based on 22.000 earthquakes detected during the period 1976-87 has been studied for this total period of observations as well as for the period from December 1977 to December 1987. The second period excluded increased seismic activity during second stage of filling the reservoir. Large fractal dimensions of the chaotic at tractor of 8.3 and 7.3 were found for the respective period which suggests the complexity of earthquake .dynamics in this region as compared to Koyna reservoir.  


MAUSAM ◽  
2022 ◽  
Vol 46 (2) ◽  
pp. 127-132
Author(s):  
A. CHOWDHURY

ABSTRACT. Association between the EI- Nino events in the Pacific Ocean and the crop yields in India has been examined. Five districts,viz. Churu, Gwalior, Rewa, Palamau and Bankura located on the normal   monsoon trough zone and cultivating altogether different, mostly rainfed crops, were selected for the study. Crop and seasonal rainfall data from 1951-88 were utilised in the analysis.   The results indicate that the EI-Nino phenomenon does not exert much influence on the kharif. In wave models with cons crops in India.    


MAUSAM ◽  
2022 ◽  
Vol 46 (2) ◽  
pp. 193-198
Author(s):  
SURENDER KUMAR ◽  
S. C. BHAN

Analysis of monthly rainfall brings out two distinctly different areas of rainfall affinity-one comprising of the lakes situated in Greater Bombay and the other in Thane districts. Rainfall of different sub-periods/months was found to be independent of the rainfall of preceding sub-periods/months. Multiple regression equations between lake levels and monthly rainfall have been computed to predict the anticipated lake levels at the end of different months.    


MAUSAM ◽  
2022 ◽  
Vol 46 (2) ◽  
pp. 200-203
Author(s):  
S. S. DESHMUKH ◽  
B. B. TAPADIA

MAUSAM ◽  
2022 ◽  
Vol 45 (1) ◽  
pp. 57-62
Author(s):  
L.J . OGALLO ◽  
R. E. OKOOLA ◽  
D. N. WANJOHI

investigated using monthly zo.ta l wind com ponents from Nairob i (Kenya ) within the period1966-1987. RelatiHn.;;hips between the stra tospher ic eas terl y and westerly wino phases and t he seasona l ra infallanomalics were also iO\t,"..')t igatN.Res ults Irom spec tra l a nalysis indicated tho d ominance (If a 28 mon th s' period in the IllOal w ind comnoncn.The \'Crtical ra te of propagar ioa of both westerly and easterly wind phases was about - · 1.2 kmmonth.Results from statist ical analysis indicated signitica nr (at 5 '~~ level) association between rainfall anomalyclass (above normal. normal. a mi below normal) and east erly and westerl y wind phas...es.


MAUSAM ◽  
2022 ◽  
Vol 45 (1) ◽  
pp. 7-16
Author(s):  
G. S. GANESAN ◽  
A. MUTHUCHAMI ◽  
E. R. SUKUMAR

Us ~n ~ Poisson distribution the probabil.ity of cyclonic storms crossing each latitude stripon the cast coast of India In a month In a random to-year period l'i com puted and presented in the raper. v ariouscharacteristics of the cyclonic systems such as average speed of movement s, average life spa n and the averagedistan ce travelled alon gwith the coefficient s uf variation before and after crossing the coast are examined anddiscussed here.


MAUSAM ◽  
2022 ◽  
Vol 45 (1) ◽  
pp. 75-78
Author(s):  
S. K. MUKHOPADHYAY

A statistical study of the annual rainfall data at Cocch Behar district during the periodt90 1 to t9S ~ has been undertaken by using. Markov chain model. One step 3 X3 Ma rcov chain model has beenused in (his study. The outcomes of the model reveal normal, bad and good year of rainfall a t the two stationsof thi s district. The hypoth esis of independence has been tested on the use of entropy and it has been ver ifiedusing likelih ood ra tio criterion. The results of the two methods are the same-tha t the yearly rainfall occurrencemay be regarded as independent at the two places o f the district.


MAUSAM ◽  
2022 ◽  
Vol 45 (1) ◽  
pp. 29-34
Author(s):  
R. P. SAMUI

The wee!..l) soil moistu re data collected at Centra l Agromcl Observat ory ICA ~ M O J . PuucJuril1~ 19 5 K·P~ S9 have been subjccctcd to Fo urie r analysis. With norm al dat a the amplit udc~ For Varillll'i dc pl h ~'"U)' between 0 .76 In I . 1.2 em of wate r Iu r first harmonic and decrease sha rply \\ ith h igher order harmonic...l he •...rlucs for fourth harm onic range from 0 .0 3 to 0 ,07 em of water o nly. UUY, C\W, the highest amplit ude forthe calendar vcars 19t'4. 19S5. IIJH7 and 19S9 i'i fou nd 10 va ry between 0 . 45 10 1. .15 ern of wat er irrespective Ill'-oi l dep ths. Under normal co ndit io n.. the ma ximu m so il moistu re nca r the soi l surface 0 .5 em dep th ! occurson 15 September while at 30 em depth. the soil moi st ure ma vim um occurs on 2-4 September. a dcluy of 9 da) s.1:, lf th e four soil dep ths co nsidered in thi s study. the first . second and third har mo nics rc pr c-sent rc..pc...Iivc 1,\~.46. 2-32 .\ 4-26 & 67-S6. 6-t 4 a r-d 1 · 6 ~,~ of total var iance res pecti ve ly for eac h of th e years 19S-4. 19S5.IIJg7 a nd t9~9 and normal dura. The cha nge in 'oil mUI..ture pattern after J une and October due In occ urrence(If southwe...t and northeast monsoon i~ wctl ref lected .


MAUSAM ◽  
2022 ◽  
Vol 64 (1) ◽  
pp. 89-96
Author(s):  
S. RAGHAVAN

Hkkjr ekSle foKku foHkkx ¼vkbZ- ,e- Mh-½ ds iwokZuqeku izn’kZu ifj;pkstuk ¼,Q- Mh- ih-½ ds lanHkZ esa dh xbZ fofHkUu izs{k.kkRed lqfo/kkvksa vkSj rduhdksa dh leh{kk dh xbZ gSA ftudk iz;ksx pØokr ds iFk dk irk yxkus vkSj m".kdfVca/kh; pØokrksa dks le>us ds fy, fd;k tk ldrk gSA izkS|ksfxdh ds laca/k esa fd, x, iz;klksa ds okLrfod ijh{k.k ls izpkyukRed lanHkZ esa gekjs iwokZuqekuksa ds fu"iknu dk irk pyrk gSA bl laca/k esa vko’;d mik;ksa ij bl 'kks/k&i= esa fopkj&foe’kZ fd;k x;k gSA In the context of the Forecast Demonstration Project (FDP) of the India Meteorological Department (IMD), a review is made of the various observational facilities and techniques which can be deployed, for the detection tracking and understanding of tropical cyclones.  The real test of the efforts in terms of technology is the performance of our forecasts in an operational context. The paper discusses the steps needed in this regard.


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