scholarly journals A Synoptic analogue model to issue QPF over Gangetic West Bengal and adjoining Jharkhand

MAUSAM ◽  
2021 ◽  
Vol 69 (2) ◽  
pp. 297-308
Author(s):  
S. CHATTOPADHYAY ◽  
S. SENGUPTA
Keyword(s):  
West Bengal ◽  
Monsoon Season ◽  
Low Pressure ◽  
Precipitation Forecast ◽  
Analogue Model ◽  
Cyclonic Storm ◽  
Damodar Valley ◽  
Synoptic Features ◽  
Pressure Area ◽  
River Catchments

 In this study the Areal Average Precipitation (AAP) data for each day over each of the six catchments of Gangetic West Bengal (GWB) and adjoining Jharkhand namely river catchments of Mayurakhshi, Ajoy, Kansabati, Damodar, Barakar and Lower Valley of Damodar Valley Corporation during monsoon season for  25  years from  1990 to 2014 have been analyzed by grouping the AAP in three different ranges (11-25 mm, 26-50 mm, 51-100 mm and more), excluding Mainly Dry and 01-10 mm. The associated main synoptic features viz., trough at mean sea level, low pressure area, well marked low pressure area, cyclonic storm and cyclonic circulation for each day and their location with respect to the river catchments, viz., over the catchment, neighbourhood of the catchment (within 200 km South or North) and outside the catchment (more than 200 km South or North) have also been studied. The association of AAP ranges over six catchments with different categories of synoptic features has been examined. The distribution of percentage frequency of AAPs associated with the category of synoptic feature for the period 1990 to 2014 has led to development of a Synoptic Analogue Model (SAM) for issue of Quantitative Precipitation Forecast (QPF). The results obtained from SAM have been verified for rainfall data and calculated AAPs of monsoon season of 2015 over all the catchments and different skills scores also presented in this study.  

scholarly journals Exceptional heavy rainfall over Ajoy, Mayurakshi and Kansabati catchments and QPF verification during flood season of September 2009

MAUSAM ◽  
2022 ◽  
Vol 63 (3) ◽  
pp. 479-488
Author(s):  
SOUMENDU SENGUPTA ◽  
B.K. MANDAL ◽  
D. PRADHAN
Keyword(s):  
Heavy Rainfall ◽  
West Bengal ◽  
Precipitation Forecast ◽  
Flood Season ◽  
Quantitative Precipitation Forecast ◽  
Damodar Valley ◽  
Average Precipitation ◽  
Synoptic Features ◽  
River Catchments

Ajoy, Mayurakshi, Kansabati are three important river catchments of West Bengal and Jharkhand state, received very heavy rainfall during two consecutive days of flood season in the month of September 2009. The contribution of heavy rainfall & combined discharges from Damodar Valley Corporation (DVC) reservoirs during the period of heavy rainspells over these catchments enhanced flood situation in some districts of West Bengal. The synoptic features based on weather charts, cloud imageries of satellite and radar pictures have been taken to analyse. The realized areal average precipitation (AAP) as per rainfall recorded at 0300 UTC of next day have also been taken to verify the quantitative precipitation forecast (QPF) of 6&7 September 2009.

scholarly journals Floods in Karnataka during 2009 : A synoptic study

MAUSAM ◽  
2021 ◽  
Vol 63 (2) ◽  
pp. 223-230
Author(s):  
B. PUTTANNA ◽  
GEETA AGNIHOTRI
Keyword(s):  
Interannual Variation ◽  
Monsoon Rainfall ◽  
Monsoon Season ◽  
Low Pressure ◽  
The State ◽  
Annual Rainfall ◽  
The West ◽  
Peninsular India ◽  
Synoptic Features ◽  
Pressure Area

Karnataka a State in south peninsular India receives 73% of its annual rainfall during southwestmonsoon season. Because of the complex physiographical features, the rainfall pattern over the State shows large spatialvariation from 50 to 350 cms. The coefficient of interannual variation of the monsoon rainfall is about 15% over coastalKarnataka (CK) and between 20-30% over interior Karnataka. The precipitation over this State is mainly dominated bysemi permanent systems like off shore trough running along the west coast, low pressure systems forming over the Bay ofBengal during the monsoon season. A well marked low pressure area during 28 September - 3 October 2009 over the Bayof Bengal caused widespread damage to life and property in north Karnataka. In this study, an attempt has been made toexamine the synoptic features of this system that caused heavy rainfall over many districts of the State leading towidespread destruction.

scholarly journals Excess and deficient summer monsoon rainfall over Orissa in relation to low pressure systems

MAUSAM ◽  
2021 ◽  
Vol 60 (1) ◽  
pp. 25-38
Author(s):  
M. MOHAPATRA ◽  
U. C. MOHANTY
Keyword(s):  
Bay Of Bengal ◽  
Andhra Pradesh ◽  
West Bengal ◽  
Monsoon Rainfall ◽  
Low Pressure ◽  
Summer Monsoon Rainfall ◽  
Cyclonic Storm ◽  
Normal Number ◽  
Different Characteristics ◽  
Low Pressure Systems

A study has been undertaken to find out different characteristics like frequency, intensity, movement, region of occurrence etc. of low pressure systems (LPS) including low, depression and cyclonic storm etc. developing over Orissa and neighbouring sea and land regions during excess and deficient monsoon  rainfall months (June – September) over Orissa. The study is based on data of 20 years (1980-1999). The principal objective of this study is to find out the contribution of LPS to extreme monsoon rainfall activity over Orissa.   The number of LPS days rather than frequency of formation of LPS over different regions better explain the excess and deficient rainfall over Orissa. The excess rainfall over Orissa during June is not significantly related with the number of LPS days. Significantly less than normal number of LPS days over northwest (NW) Bay of Bengal and Gangetic West Bengal (GWB) and higher number of LPS days over west central (WC) Bay off north coastal Andhra Pradesh (NCAP) cause deficient rainfall over Orissa during June. While significantly higher than normal number of LPS days over NW Bay and Orissa leads to excess rainfall during July, less than normal number of LPS days over WC Bay off NCAP is associated with excess rainfall during August. The less number of LPS days over Orissa due to less frequent movement of LPS across Orissa from the Bay of Bengal leads to deficient rainfall over Orissa during both July and August. Significantly higher/less than normal number of LPS days over NW Bay leads to excess/deficient rainfall over Orissa during September.

scholarly journals QPF Model for lower Yamuna catchment, synoptic analogue method

MAUSAM ◽  
2021 ◽  
Vol 62 (1) ◽  
pp. 27-40
Author(s):  
MEHFOOZ ALI ◽  
U. P. SINGH ◽  
D. JOARDAR
Keyword(s):  
Monsoon Season ◽  
Skill Score ◽  
Southwest Monsoon ◽  
Precipitation Forecast ◽  
Synoptic Situation ◽  
Analogue Model ◽  
Quantitative Precipitation Forecast ◽  
South West Monsoon ◽  
Heidke Skill Score ◽  
Southwest Monsoon Season

The paper formulates a synoptic analogue model for issuing Quantitative Precipitation Forecast (QPF) for Lower Yamuna Catchment (LYC) based upon eleven years data (1998-2008) during southwest monsoon season. The results so derived were verified with realized Average Areal Precipitation (AAP) for the corresponding synoptic situation during 2009 southwest monsoon season. The performance of the model was observed Percentage Correct (PC) up to 86 % and for extreme events showed 100% correct with Heidke Skill Score (HSS) value 0.9. The experience during south west monsoon 2009 has shown that Synoptic analogue model can produce 24 hours advance QPF with accuracy and greater skill to facilitate the flood forecasters of Central Water Commission.

scholarly journals Heavy rainfall analysis over Teesta catchment and adjoining areas of Sub-Himalayan West Bengal and Sikkim

MAUSAM ◽  
2021 ◽  
Vol 71 (1) ◽  
pp. 133-144
Author(s):  
RAHA G N ◽  
BANDYOPADHYAY S ◽  
DAS S
Keyword(s):  
Heavy Rainfall ◽  
West Bengal ◽  
Monsoon Season ◽  
Daily Rainfall ◽  
Primary Objective ◽  
Analogue Model ◽  
River Catchment ◽  
Rainfall Analysis ◽  
Hilly Region ◽  
Good Agreement

Heavy rainfall (HRF) forecasting in hilly region is always a challenge to the operational forecasters. Synoptic Analogue Model (SAM) is considered as one of the useful tools for HRF forecasting in topographically influenced hilly regions. In every monsoon season, the Teesta river catchment and its adjoining areas in Sub-Himalayan West Bengal and Sikkim (SHWB-S) generally receive several events of HRF. With the primary objective to find the method to issue HRF warning over Teesta river catchment and adjoining areas in SHWB-S, a SAM has been developed by analyzing 18 years (1998-2015) data comprising prevailing synoptic situations affecting the area and daily rainfall data of subsequent day of HRF. In addition, impact of different synoptic systems on the distribution of HRF has also been studied. The results revealed that there exists a good agreement between daily HRF warnings issued with the corresponding HRF event observed over this region on the next day.

scholarly journals Analytical Study of North Indian Oceanic Cyclonic Disturbances with Special Reference to Extremely Severe Cyclonic Storm Fani: Meteorological Variability, India's Preparedness with Terrible Aftermath

2020 ◽  
Author(s):  
Soumen Chatterjee
Keyword(s):  
Tamil Nadu ◽  
West Bengal ◽  
Monsoon Season ◽  
Surface Wind ◽  
Storm Surges ◽  
Google Earth ◽  
North Indian Ocean ◽  
Historical Background ◽  
Cyclonic Storm ◽  
Severe Cyclonic Storm

Abstract. Having a total coastal tract of about 7,516 km with 5,400 km long mainland coastline, India is highly vulnerable to natural hazards like tropical cyclones (TCs). The analysis based on the historical dataset (1891–2019) of TCs over North Indian Ocean (NIO) also claims that the four coastal states (Andhra Pradesh, Odisha, Tamil Nadu and West Bengal) and one union territory (Pondicherry) on the east coast frequently face cyclonic storm than other coastal parts of India. The seasonal distribution (Pre-monsoon, Monsoon and Post-monsoon) of cyclonic storms over the Arabian Sea (AS) and Bay of Bengal (BoB) in last 150 years also help to unfold the fact that the Odisha and West Bengal coast are exposed to TCs mostly during the monsoon season (June to September) encompassing with strong winds, heavy rainfall and high storm surge. The extremely severe cyclonic storm (ESCS) Fani is the rarest summer cyclones, the first one in 43 years to strike the coastal part of Odisha on May 3, 2019 and one of the three worst cyclones in last 150 years with a sustained surface wind speed of 175–180 kmph. Odisha has been affected horribly due to the vulnerability of Fani. Although the death toll was limited within 64 due to rapid evacuation of nearly 1.68 million people, the killer cyclone has caused irreparable damages in social sectors (housing, education and food security), productive sectors (agriculture, fisheries and livestock) and also informative sectors (power, telecommunication, road, water facilities and public buildings). The estimated costs have reached nearly 4.18 billion USD only in Odisha. The southern part of West Bengal has also affected badly due to intense downpour and very high storm surges (2–3 m above mean sea level). To map the flooded areas of Odisha and West Bengal due to intense rainfall (cause inland flooding) and storm surges (cause coastal flooding), the Sentinel-1 SAR GRD dataset has also been used in Google Earth Engine (GEE) environment to link with the deadly cyclone Fani. So, the present study successfully advocates the historical background of TCs over NIO with particular reference to ESCS Fani including its meteorological variability, preparedness and the trail of devastation.

scholarly journals HOT WEATHER SEASON (March-May 2019)†

MAUSAM ◽  
2021 ◽  
Vol 71 (2) ◽  
pp. 329-356
Author(s):  
Kashyapi Anupam ◽  
Abhang P R ◽  
Natu J. C. ◽  
Shripad V. K.
Keyword(s):  
Bay Of Bengal ◽  
Arabian Sea ◽  
Low Pressure ◽  
Cyclonic Storm ◽  
Odisha Coast ◽  
Pressure Area ◽  
Hot Weather ◽  
Severe Cyclonic Storm

The first cyclonic storm of the season, Extremely Severe Cyclonic Storm (ESCS “Fani” 26th April - 4th May, 2019) formed over the Bay of Bengal and crossed the Odisha coast close to Puri. Besides this ESCS, one short lived low pressure area formed on 30th May over southwest Arabian Sea off Somalia coast which dissipated on 31st May.

scholarly journals Studies on fish diversity concerning Hydro-ecology of Kangsabasti river in Purulia district, West Bengal, India

2020 ◽  
Vol 26 (2) ◽  
Author(s):  
Manab Kumar Saha
Keyword(s):  
Fish Species ◽  
Physicochemical Parameters ◽  
West Bengal ◽  
Monsoon Season ◽  
Fish Diversity ◽  
Riverine Ecosystem ◽  
Post Monsoon ◽  
Fish Catch ◽  
Purulia District

Fish diversity depends both on various physicochemical parameters and the biological components of the riverine ecosystem. During the study period from January 2017 to December 2019 the highest fish diversity and density were observed in post-monsoon and lowest in pre-monsoon season in the Kangsabati River, Purulia District of West Bengal. Twenty five fish species, associated with 19 genera, 10 families and 5 orders have been identified. It was recorded that the Cyprinidae was the predominant family, which represented 56% of the entire fish catch.

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