A5056328083- Climate variability and models
- Meteorological Phenomena and Simulations
- Atmospheric and Environmental Gas Dynamics
- Cryospheric studies and observations
- Tropical and Extratropical Cyclones Research
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Climate change impacts on agriculture
- Hydrology and Drought Analysis
- Precipitation Measurement and Analysis
- Tree-ring climate responses
- Plant Water Relations and Carbon Dynamics
- Rangeland Management and Livestock Ecology
- Landslides and related hazards
- Climate Change and Environmental Impact
- Remote Sensing in Agriculture
- Oceanographic and Atmospheric Processes
- Soil Moisture and Remote Sensing
- Atmospheric aerosols and clouds
- Science and Climate Studies
- Solar Radiation and Photovoltaics
- Environmental and Cultural Studies in Latin America and Beyond
- Hydrological Forecasting Using AI
- Geology and Paleoclimatology Research
- Lightning and Electromagnetic Phenomena
Indian Institute of Tropical Meteorology
2012-2021
Ministry of Earth Sciences
2021
[1] A suite of climate change indices derived from daily temperature and precipitation data, with a primary focus on extreme events, were computed analyzed. By setting an exact formula for each index using specially designed software, analyses done in different countries have been combined seamlessly. This has enabled the presentation most up-to-date comprehensive global picture trends results number workshops held data-sparse regions high-quality station data supplied by numerous scientists...
Changes in indices of climate extremes are studied on the basis daily series temperature and precipitation observations from 116 meteorological stations central south Asia. Averaged over all stations, indicate warming both cold tail warm distributions minimum maximum between 1961 2000. For precipitation, most regional wet show little change this period as a result low spatial trend coherence with mixed positive negative station trends. Relative to changes total amounts, there is slight...
Over the last few decades, weather and climate extremes have become a major focus of researchers, media general public due to their damaging effects on human society infrastructure. Trends in indices are studied for South Asian region using high-quality records daily temperature precipitation observations. Data from 210 (265) (precipitation) observation stations analysed over period 1971–2000 (1961–2000). Spatial maps station trends, time series regional averages frequency distribution...
Abstract The Indian economy largely depends on agriculture which is highly influenced by the spatio‐temporal variability of precipitation. Kharif and rabi are two main crop‐growing seasons require major proportion rainfall. Increase in heavy precipitation events, however, can have adverse effects crops. This study, therefore, mainly focused understanding variation extremes during summer monsoon season its impact kharif foodgrain yield over India. For this, several objectively defined indices...
Described herein is the first version release of monthly temperature holdings a new Global Land Surface Meteorological Databank. Organized under auspices International Temperature Initiative ( ISTI ), an international group scientists have spent three years collating and merging data from numerous sources to create merged holding. This in its recommended form consists over 30 000 individual station records, some which extend past 300 years. article describes sources, chosen merge...
Abstract South Asia covers more than 30° of latitude with weather observation stations situated from 6°N at Galle, Sri Lanka, to 36°N Chitral in Pakistan. Moreover, the Asian station network ranges altitude sea level nearly 4000 m above level. This paper uses time series 11 objectively defined indices daily temperature extremes 197 Bangladesh, India, Nepal, Pakistan and Lanka examine possible impacts elevation on changes over period 1971–2000. Trends extreme are consistent general warming...
Abstract The normalized difference vegetation index (NDVI), derived from the Advanced Very High Resolution Radiometer (AVHRR) (1981–2000), and Moderate Imaging Spectroradiometer (MODIS) Aqua data (2000–2010) are analysed to examine their spatio-temporal variability over Indian region. Climatic factors well known be associated with vegetation. Therefore, an attempt has also been made in this study impact of climate on NDVI average patterns suggest that is climatic such as rainfall...
Abstract Hydrological disasters are recurrent over the northeast Indian region (NEI) due to heavy downpours within a short span of time. Therefore, characteristics rainfall extremes during southwest monsoon NEI, their evolution and dissipation features, discussed using data from Tropical Rainfall Measuring Mission (TRMM) 3B42 V7 Climate Prediction Center for 16 years 2000 2015. Circulation features lead–lag extreme events also examined National Environmental Prediction/National Atmospheric...
ABSTRACT Understanding the conditions of droughts are imperative for many purposes especially in planning and agricultural fields. In this paper an attempt is made to analyse rainfall distribution during associated with El Niño non‐El events using India Meteorological Department (IMD) daily data set having a spatial resolution 0.25° latitude × longitude grid. Patterns drought years which not have below normal over most places Indian subcontinent, except peninsular eastern region. Most summer...
The detection of possible changes in extreme climate events, terms the frequency, intensity as well duration assumes profound importance on local, regional, and national scales, due to associated critical socioeconomic consequences. Therefore, an attempt is made this paper evaluate various aspects future projections precipitation extremes over India, projected by a state-of-art regional modeling system, known PRECIS (Providing REgional Climates for Impacts Studies) towards end 21st century...
Abstract Daily rainfall data for the winter season October–December long period of 102 years 1901–2002 over southeast peninsular India have been used to study characteristics daily precipitation extremes. The frequency and intensity extreme events do not show statistically significant long‐term trend. relationship El Nino‐southern oscillation index with these extremes shows that this can be predict events, 4–6 months in advance. However spell lengths continuous wet/dry days are modulated by...
Abstract Foodgrain yield over India during k harif (summer) season is directly affected by day to variations in summer monsoon precipitation (June through September). An increase (decrease) foodgrain generally associated with an rainfall. However, the reduction of rainfall or occurrence heavy activity may cause adverse effect on crop growth. This study therefore aimed at understanding impact all possible values daily from lowest highest kharif for period 1966‐2003. The also includes intense...