A5006466605- Climate variability and models
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Atmospheric aerosols and clouds
- Oceanographic and Atmospheric Processes
- Cryospheric studies and observations
- Fire effects on ecosystems
- Precipitation Measurement and Analysis
- Lightning and Electromagnetic Phenomena
- Hydrology and Drought Analysis
- Ocean Waves and Remote Sensing
- Climate change impacts on agriculture
- Remote Sensing and Land Use
- Geophysics and Gravity Measurements
- Plant Water Relations and Carbon Dynamics
- Flood Risk Assessment and Management
- Atmospheric and Environmental Gas Dynamics
- Hydrological Forecasting Using AI
- Forecasting Techniques and Applications
- Wine Industry and Tourism
- 3D Modeling in Geospatial Applications
- Computational Geometry and Mesh Generation
- Hydrology and Watershed Management Studies
- Energy and Environment Impacts
- Solar Radiation and Photovoltaics
Indian Institute of Tropical Meteorology
2016-2025
Ministry of Earth Sciences
2019-2024
National Centre for Medium Range Weather Forecasting
2019
Cochin University of Science and Technology
2019
Government of India
2019
National Institute of Advanced Studies
2019
India Meteorological Department
2019
Indian National Centre for Ocean Information Services
2019
Indian Institute of Science Bangalore
2019
National Centre for Antarctic and Ocean Research
2019
Abstract In spite of the summer monsoon’s importance in determining life and economy an agriculture-dependent country like India, committed efforts toward improving its prediction simulation have been limited. Hence, a focused mission mode program Monsoon Mission (MM) was founded 2012 to spur progress this direction. This article explains made by Earth System Science Organization (ESSO), Ministry Sciences (MoES), Government implementing MM develop dynamical framework improve monsoon...
ABSTRACT Simulation of Indian summer monsoon features by latest coupled model National Centers for Environmental Prediction ( NCEPs ) Climate Forecast System version 2 CFSv2 is attempted in its long run. Improvements the simulation as compared with previous CFSv1 accessed and areas which still require considerable refinements are introduced. It found that, spatial pattern seasonal mean rainfall wind circulations more realistic . Variance northward propagation intraseasonal oscillation ISO ),...
Large socio-economic impact of the Indian Summer Monsoon (ISM) extremes motivated numerous attempts at its long range prediction over past century. However, a rather estimated low potential predictability limit (PPL) seasonal ISM, contributed significantly by 'internal' interannual variability was considered insurmountable. Here we show that ISM sub-seasonal (synoptic + intra-seasonal) fluctuations, so far chaotic, is partly predictable as found to be tied slowly varying forcing (e.g. El...
Abstract While many of the previous positive Indian Ocean dipole (IOD) years were associated with above (below)-normal monsoon rainfall over central (southern) India during summer months [June–September (JJAS)], IOD event in 2008 is below (above)-normal parts (southern peninsular) India. Because understanding such regional organization a key for success prediction, using different datasets and atmospheric model simulations, reasons this abnormal behavior are explored. Compared to normal...
Abstract The potential predictability of the Indian summer monsoon rainfall (ISMR), soil moisture, and sea surface temperature (SST) is explored in latest version NCEP Climate Forecast System (CFSv2) retrospective forecast at five different lead times. focus this study to find out sensitivity ISMR initial condition through analysis variance technique (ANOVA), information‐based measure, including relative entropy (RE), mutual information (MI), classical perfect model correlation. In general,...
In this study, we propose a hypothesis, supported by numerical model simulations, concerning the role of cloud microphysical processes and aerosols in invigoration an extreme rainfall event over Uttarakhand June 2013. The interactions among dynamics, thermodynamics their feedbacks play vital occurrence events. To test proposed Weather Research Forecasting (WRF) simulations are carried out with three different schemes (i.e. WDM6, Morrison, CLR). aerosol indirect effects process precipitation...
Projecting future changes in monsoon rainfall is crucial for effective water resource management, food security, and livestock sustainability South Asia. This study assesses precipitation, total cloud cover (categorized by top pressure), outgoing longwave radiation (OLR) across the region using Coupled Model Intercomparison Project Phase 6 (CMIP6) data. A multi-model ensemble (MME) approach employed to analyze projections under Shared Socio-Economic Pathway (SSP5-8.5) scenario, which assumes...
Abstract This study investigates the possible physical processes for delayed response of East Asia–West Pacific summer monsoon to Indian Ocean Dipole Mode (IODM) through Eurasian continent based on composite and correlation analyses. The media carrying memory this is identified. Results reveal that peak positive phase dipole during autumn could suppress following activity over Asia three seasons later, in particular Korea–Japan sector, South China adjacent West region. Composite analysis...
Abstract This study examines the performance of National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS) over Indian monsoon region in 100 years long coupled run, terms biases sea surface temperature (SST), rainfall and circulation. The further explores role feedback processes maintaining these biases. model simulates reasonable climatology during JJAS (June–September). It shows dry (wet) bias concomitant with cold (warm) SST east (west) equatorial Ocean. These...
Abstract Simulation of the spatial and temporal structure monsoon intraseasonal oscillations (MISOs), which have effects on seasonal mean annual cycle Indian summer (ISM) rainfall, remains a grand challenge for state‐of‐the‐art global coupled models. Biases in simulation amplitude northward propagation MISOs related dry rainfall bias over ISM region climate models are limiting current skill prediction. Recent observations indicate that convective microphysics clouds may be critical...
ABSTRACT Role of the cloud parameterization scheme and critical relative humidity ( RHcrit ) for large‐scale precipitation is examined simulating Indian summer monsoon (ISM) by National Centers Environmental Prediction NCEP climate forecast system version 2 CFSv2 ). The major biases model simulations namely dry bias over continents, cold tropospheric temperature TT sea surface SST are related to in distribution clouds. This study evaluates role variable get better simulation high level...
Abstract The quest for one of the most dominant processes controlling large‐scale circulations in tropics is unraveled. impact cloud microphysical known to have effects on rainfall and local atmospheric thermodynamics; however, its effect prevailing mean not yet studied. Two sets coupled global climate model experiments (ICE NO ICE microphysics) reveal that ice microphysics improves strength Hadley circulation with respect observation. Results pinpoint simulation enhances high fraction...
Abstract Net heat flux (Qnet) and its components from four reanalysis (NCEP‐2, CFSR, ERA5, MERRA) two blended products (OAFlux & TropFlux) are compared with in situ observation (two Research Moored Array for African‐Asian‐Australian Monsoon Analysis Prediction buoys one Woods Hole Oceanographic Institution buoy) over the north Indian Ocean to quantify their uncertainties daily, seasonal, annual scales. These comparisons provide present status of Qnet error most state art...
Abstract Skillful seasonal prediction of lightning is crucial over several global hotspot regions, as it causes severe damages to infrastructures and losses human life. While major emphasis has been given for predicting rainfall, in one season advance remained uncommon, owing the nature problem, which short‐lived local phenomenon. Here we show that on time scale, regions strongly tied with slowly varying predictors (e.g., El Niño Southern Oscillation). Moreover, sub‐seasonal variance highly...