IMDAA Regional Reanalysis: Performance Evaluation During Indian Summer Monsoon Season

2020 ◽  
Vol 125 (2) ◽  
Author(s):  
Raghavendra Ashrit ◽  
S. Indira Rani ◽  
Sushant Kumar ◽  
S. Karunasagar ◽  
T. Arulalan ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Summer Monsoon ◽  
Indian Summer Monsoon ◽  
Monsoon Season ◽  
Summer Monsoon Season ◽  
Regional Reanalysis

scholarly journals Soil Moisture–Precipitation Feedback Processes in the Indian Summer Monsoon Season

2012 ◽  
Vol 13 (5) ◽  
pp. 1461-1474 ◽  
Author(s):  
Shakeel Asharaf ◽  
Andreas Dobler ◽  
Bodo Ahrens
Keyword(s):  
Soil Moisture ◽  
Summer Monsoon ◽  
Indian Summer Monsoon ◽  
Land Surface ◽  
Climate Model ◽  
Monsoon Season ◽  
Regional Climate ◽  
Precipitable Water ◽  
Small Scale ◽  
Summer Monsoon Season

Abstract Soil moisture can influence precipitation through a feedback loop with land surface evapotranspiration. A series of numerical simulations, including soil moisture sensitivity experiments, have been performed for the Indian summer monsoon season (ISM). The simulations were carried out with the nonhydrostatic regional climate model Consortium for Small-Scale Modeling (COSMO) in climate mode (COSMO-CLM), driven by lateral boundary conditions derived from the ECMWF Interim reanalysis (ERA-Interim). Positive as well as negative feedback processes through local and remote effects are shown to be important. The regional moisture budget studies have exposed that changes in precipitable water and changes in precipitation efficiency vary in importance, in time, and in space in the simulations for India. Overall, the results show that the premonsoonal soil moisture has a significant influence on the monsoonal precipitation, and thus confirmed that modeling of soil moisture is essential for reliable simulation and forecasting of the ISM.

Inconsistency in the frequency of rainfall events in the Indian summer monsoon season

2019 ◽  
Vol 39 (13) ◽  
pp. 4907-4923 ◽  
Author(s):  
Vinay K. Prathipati ◽  
Naidu C. V. ◽  
Prasanna Konatham
Keyword(s):  
Summer Monsoon ◽  
Indian Summer Monsoon ◽  
Monsoon Season ◽  
Summer Monsoon Season ◽  
Rainfall Events

Vertically resolved physical and radiative response of ice clouds to aerosols during the Indian summer monsoon season

2018 ◽  
Vol 216 ◽  
pp. 171-182 ◽  
Author(s):  
Feiyue Mao ◽  
Zengxin Pan ◽  
David S. Henderson ◽  
Wei Wang ◽  
Wei Gong
Keyword(s):  
Summer Monsoon ◽  
Indian Summer Monsoon ◽  
Monsoon Season ◽  
Summer Monsoon Season ◽  
Ice Clouds

scholarly journals Stochastic modeling of the occurrence of rainfall over some districts of Assam during 1987-1992

MAUSAM ◽  
2021 ◽  
Vol 61 (2) ◽  
pp. 221-224
Author(s):  
G. N. RAHA ◽  
S. C. KAKATY
Keyword(s):  
Markov Chain ◽  
Stochastic Modeling ◽  
Summer Monsoon ◽  
Indian Summer Monsoon ◽  
Markov Chain Model ◽  
Monsoon Season ◽  
Chain Model ◽  
Summer Monsoon Season ◽  
Alternative Approach ◽  
Wet Spells

The Primary aim in this paper is to find an alternative approach that consists of modeling the pattern of dry and wet spell over some districts of Assam. The Markov Chain Model is used to predict the length of dry and wet spells during the Indian summer monsoon season (June to September). This information may help the agronomists and agricultural scientists in crop planning. Five districts viz., Dibrugarh, Kamrup, Sonitpur, Dhemaji and North­ Lakhimpur are considered here for this study. Markov Chain Model is fitted for each of the district and the results of the five districts are pooled. This pooled result reveals that during the period 1987-1992, the probability for the day being wet when the immediately preceding day is dry for different years varies from 0.44 to 0.54 while the probability of the day being wet when the immediately preceding day is wet for different years varies from 0.74 to 0.86. It is also found that in the Indian summer monsoon season after about every consecutive 4 - 7 wet days a dry day is expected to occur whereas alter about consecutive 2 dry days, a wet day is expected to occur. The number of days required for the process to reach the state of equilibrium varies from 4 - 7 days.

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