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R. Phani
Indian Institute of Tropical Meteorology
PrecipitationGeologyMonsoonClimate Forecast SystemClimatology
8Publications
2H-index
21Citations
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Publications 11
Newest
#1Prakash Pithani (Andhra University)H-Index: 3
#2Sachin D. Ghude (IITM: Indian Institute of Tropical Meteorology)H-Index: 21
Last. Anupam Hazra (IITM: Indian Institute of Tropical Meteorology)H-Index: 13
view all 15 authors...
AbstractA Winter Fog EXperiment (WiFEX) was conducted to study the genesis of the fog formation between winters 2016-2017 and 2017-2018 at Indira Gandhi International Airport (IGIA), Delhi, India. ...
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#1A. Dey (Savitribai Phule Pune University)H-Index: 2
#2R. Chattopadhyay (IITM: Indian Institute of Tropical Meteorology)H-Index: 16
Last. S. Abhilash (CUSAT: Cochin University of Science and Technology)H-Index: 11
view all 7 authors...
Several methods are available to track the intraseasonal oscillation, namely the Madden–Julian oscillation (MJO) and monsoon intraseasonal oscillation (MISO). However, no methods to track both the modes in a uniform framework for real-time application exist. A new method to track the smooth propagation of the MJO and MISO is proposed to use it for real-time monitoring. The new approach is based on extended empirical orthogonal function (EEOF) analysis of the combined field of meridionally averag...
1 CitationsSource
#1R. Chattopadhyay (IITM: Indian Institute of Tropical Meteorology)H-Index: 16
#2Anjali Thomas (CUSAT: Cochin University of Science and Technology)
Last. A. K. Sahai (IITM: Indian Institute of Tropical Meteorology)H-Index: 19
view all 5 authors...
In the current perception of an increase in extreme precipitation events in a developing and densely populated country like India and the demands of high resolution forecast runs are high, the present study compares the statistical skill of free runs from an operational climate model run in two horizontal resolutions in simulating the frequency and intensity of extreme rainfall events over Indian region. The operational climate model is a version of the National Center for Environmental Predicti...
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#1S. Saranya Ganesh (Savitribai Phule Pune University)H-Index: 1
#2S. Abhilash (CUSAT: Cochin University of Science and Technology)H-Index: 11
Last. R. Phani (IITM: Indian Institute of Tropical Meteorology)H-Index: 2
view all 8 authors...
An attempt has been made in this study to evaluate the performance of a multi-model ensemble prediction system (MMEPS) in the extended range prediction of genesis and track of cyclonic storms (CS) over North Indian Ocean (NIO) during the onset phase of Indian summer monsoon. The MMEPS comprises of National Centres for Environmental Prediction Climate Forecast System version 2 and its atmospheric component, Global Forecast System version 2, at two different resolutions. In this study, we analyse ...
1 CitationsSource
#1S. Joseph (IITM: Indian Institute of Tropical Meteorology)H-Index: 13
#2A. K. Sahai (IITM: Indian Institute of Tropical Meteorology)H-Index: 19
Last. S. Abhilash (CUSAT: Cochin University of Science and Technology)H-Index: 11
view all 7 authors...
AbstractUnder the National Monsoon Mission Project initiated by the government of India’s Ministry of Earth Sciences, an indigenous dynamical ensemble prediction system (EPS) has been developed at the Indian Institute of Tropical Meteorology based on the state-of-the-art Climate Forecast System Model version 2 (CFSv2) coupled model, for extended-range (~15–20 days in advance) prediction. The forecasts are generated for the entire year covering the southwest monsoon, the northeast monsoon, and th...
1 CitationsSource
#1B. B. Goswami (UVic: University of Victoria)H-Index: 6
#2Boualem Khouider (UVic: University of Victoria)H-Index: 26
Last. Andrew J. Majda (NYU: New York University)H-Index: 73
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A stochastic multi-cloud model (SMCM) convective parameterization is incorporated in the National Centers for Environmental Predictions’ Climate Forecast System version 2 (CFSV2). The resulting model is referred to here as CFSsmcm. Two 15-year-long climate simulations of the CFSsmcm, differing only by one SMCM parameter, namely, the mid-tropospheric dryness parameter, MTD0 are analyzed and interpreted here. This particular parameter is chosen because not only it plays a crucial role in the SMCM ...
1 CitationsSource
#1S. Saranya Ganesh (Savitribai Phule Pune University)H-Index: 1
#2A. K. Sahai (IITM: Indian Institute of Tropical Meteorology)H-Index: 19
Last. R. Phani (IITM: Indian Institute of Tropical Meteorology)H-Index: 2
view all 8 authors...
1 CitationsSource
#1S. Abhilash (IITM: Indian Institute of Tropical Meteorology)H-Index: 11
#2R. Mandal (IITM: Indian Institute of Tropical Meteorology)H-Index: 5
Last. M. Rajeevan (Government of India)H-Index: 33
view all 11 authors...
Indian summer monsoon of 2015 was deficient with prominence of short-lived (long-lived) active (break) spells. The real-time extended range forecasts disseminated by Indian Institute of Tropical Meteorology using an indigenous ensemble prediction system (EPS) based on National Center for Environmental Predictions’s climate forecast system could broadly predict these intraseasonal fluctuations at shorter time leads (i.e. up to 10 days), but failed to predict at longer leads (15–20 days). Consider...
1 CitationsSource
#1B. B. GoswamiH-Index: 6
#2Boualem KhouiderH-Index: 26
Last. Andrew J. Majda (NYU: New York University)H-Index: 73
view all 5 authors...
A comparative analysis of 14 5-year long climate simulations produced by the National Centres for Environmental Predictions (NCEP) Climate Forecast System version 2 (CFSv2), in which a stochastic multicloud (SMCM) cumulus parameterization is implemented, is presented here. These 5-year runs are made with different sets of parameters in order to figure out the best model configuration based on a suite of state-of-the-art metrics. This analysis is also a systematic attempt to understand the model ...
10 CitationsSource
#1S. Joseph (IITM: Indian Institute of Tropical Meteorology)H-Index: 13
#2A. K. Sahai (IITM: Indian Institute of Tropical Meteorology)H-Index: 19
Last. R. Phani (IITM: Indian Institute of Tropical Meteorology)H-Index: 2
view all 10 authors...
The onset/progression phase of theIndian summer monsoon (ISM) is very crucial for the agricultural sector of the country as it has strong bearing on the sowing of kharif crops, which in turn affects overall food grain production and hence food security. The recent ISMs of 2013 and 2014 exhibited quite distinct progression phases. While 2013 had one of the fastest advancement in the last 70 years, 2014 witnessed a comparatively lethargic progression phase. The major difference was felt in the ear...
5 CitationsSource
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