scholarly journals VARIATIONS IN PRECIPITABLE WATER CONTENT IN LOWER TROPOSPHERE AT PUNE DURING SUMMER MONSOON

MAUSAM ◽  
2022 ◽  
Vol 45 (2) ◽  
pp. 161-164
Author(s):  
SURENDRA S. PARASNIS

Variation. in Precipitable Water Content (pWC) at Pune (lse32'N. 73·S1'E..ssg m u 1)duri ngIUmmer mon aoon aealOM of 1980 and 1981. have been studied. Spectrum of PWC values in layen 9OQ..650 bPashowed peals at period. 2-3 and '·8 days. The periodicities observed in PWC ~comparable with these observed. in other mckorolOlical parameters.

2021 ◽  
pp. 35-49
Author(s):  
N. A. Kalinin ◽  
◽  
A. N. Shikhov ◽  
A. V. Chernokulsky ◽  
S. V. Kostarev ◽  
...  

The environments of 53 severe squalls and tornadoes that caused large-scale windthrows in the forest zone of European Russia and the Ural in 1989–2019 are analyzed. The CFSR and ERA-5 reanalyses and sounding data were used to estimate characteristics of the environments including convective instability indices. It was found that the substantial temperature gradient on the atmospheric front (9.6C/500 km on average) and the jet stream presence in the lower or middle troposphere oriented along the frontal zone are important factors to estimate environments of the formation of severe squalls and tornadoes. In most cases, squalls and tornadoes require a combination of high precipitable water content (40 mm on average), moderate or high convective instability (CAPE >1000 J/kg), and moderate or strong wind shear. High precipitable water content and strong convective instability are important for the formation of squalls, while low-level wind shear plays a principal role for the tornado generation.


1998 ◽  
Vol 124 (549) ◽  
pp. 1743-1770 ◽  
Author(s):  
M.-A. Filiberti ◽  
L. Eymard ◽  
F. Rabier ◽  
P. Courtier ◽  
J. N. Thépaut

MAPAN ◽  
2019 ◽  
Vol 34 (4) ◽  
pp. 451-463 ◽  
Author(s):  
Dada P. Nade ◽  
Swapnil S. Potdar ◽  
Rani P. Pawar ◽  
Santosh T. Mane ◽  
S. Chandra ◽  
...  

2021 ◽  
Vol 943 (1) ◽  
pp. 012011
Author(s):  
Jinhao Wu

Abstract Climate, as the natural environment on which human life depends, is intricately linked to human society. This paper focuses on the characteristics of temperature and its relationship with meteorological elements in China in the last 73 years. The data of this research is from NCEP/NCAR Reanalysis Monthly Means. This study adopts the Empirical Orthogonal Function (EOF) and Singular Value Decomposition (SVD) methods to study the surface temperature characteristics within China, and the synergistic variation between surface temperature and precipitable water content, wind field, and relative humidity in China. The results show that 1980s is a turning point for changes in surface temperature, precipitable water content, wind field, and relative humidity in China. Before 1980s, the temperature in China is low, while after this period, the temperature in China is high and China’s exposure to global warming has increased. Temperature is dominated by negative potential-phase oscillations with relative humidity and wind fields. In the north, temperature and precipitable water content have negative potential-phase oscillations, while temperature and precipitable water content have positive potential-phase oscillations in the south. In the central region of Xinjiang, temperature and precipitable water content have weak negative potential-phase oscillations, while temperature and wind field have positive potential-phase oscillations.


2004 ◽  
Vol 43 (10) ◽  
pp. 1452-1459 ◽  
Author(s):  
P. Ernest Raj ◽  
P. C. S. Devara ◽  
R. S. Maheskumar ◽  
G. Pandithurai ◽  
K. K. Dani ◽  
...  

Abstract A compact, hand-held multiband sun photometer (ozone monitor) has been used to measure total precipitable water content (PWC) at the low-latitude tropical station in Pune, India (18°32′N, 73°51′E). Data collected in the daytime (0730–1800 LT) during the period from May 1998 to September 2001 have been used here. The daytime average PWC value at this station is 1.13 cm, and the average for only the clear-sky days is 0.75 cm. PWC values between 0.75 and 1.0 cm have the maximum frequency of occurrence. There is a large day-to-day variability due to varied sky and meteorological conditions. Mainly two types of diurnal variations in PWC are observed. The one occurs in the premonsoon summer months of April and May and shows that forenoon values are smaller than afternoon values. The other type occurs in November and December and shows a minimum around noontime. There is a diurnal asymmetry in PWC in which, on the majority of the days, the mean afternoon value is greater than the forenoon value. This asymmetry is more pronounced in the summer and southwest monsoon months (i.e., March–June). Monthly mean PWC is highest in September and lowest in December. The increase in PWC from the winter (December–February) to summer (March–May) seasons is about 50% and from the summer to southwest monsoon seasons (June–September) is almost 98%. Sun photometer–derived PWC shows a fairly good relationship with surface relative humidity and radiosonde-derived PWC, with a correlation coefficient as high as 0.80.


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