A5031669249- Climate variability and models
- Climate change impacts on agriculture
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Rice Cultivation and Yield Improvement
- Agricultural Economics and Practices
- Plant Water Relations and Carbon Dynamics
- Nitrogen and Sulfur Effects on Brassica
- Precipitation Measurement and Analysis
- Hydrology and Watershed Management Studies
- Remote Sensing in Agriculture
- Hydrological Forecasting Using AI
- Water resources management and optimization
- Agriculture, Land Use, Rural Development
- Energy Load and Power Forecasting
- Mosquito-borne diseases and control
- Agricultural Science and Fertilization
- Smart Agriculture and AI
- Viral Infections and Vectors
- Flood Risk Assessment and Management
- Irrigation Practices and Water Management
- Urban Heat Island Mitigation
- Agronomic Practices and Intercropping Systems
- Species Distribution and Climate Change
- Sesame and Sesamin Research
India Meteorological Department
2014-2025
University of Allahabad
2023
Indian Institute of Technology Roorkee
2016
This study involved an investigation of the long-term seasonal rainfall patterns in central India at district level during period from 1991 to 2020, including various aspects such as spatiotemporal trend patterns, variability, trends rainy days with different intensities, decadal percentage deviation and events along their respective intensities. The region was meticulously divided into distinct subparts, namely, Gujarat, Daman Diu, Maharashtra, Goa, Dadra Nagar Haveli, Madhya Pradesh,...
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IMD was created to act as the nodal agency in country on weather and climate matters. This article broadly covers journey of Climate Services becoming a separate branch with direct linkages sectoral applications is not an exhaustive documentation. Notionally, differ former being time specified information latter statistical description valid for certain duration time. Both, however, refer geophysical phenomena which impact life individuals collective societies. Climatic experiences have ever...
Abstract Calibrated probabilistic forecasts of weekly rainfall were developed for the state Bihar in northern India and issued real time during June–September 2018 monsoon period, up to 2 weeks advance. The are based on subseasonal from U.S. National Centers Environmental Prediction CFSv2 model calibrated against observed gridded fields Meteorological Department using canonical correlation analysis. Hindcasts over 1999–2010 period exhibit appreciable skill at Week 1 lead (Days 3–9), with...
Use of seasonal and sub-seasonal forecast products experimental extended range system (ERFS) in crop models is investigated for improving the rice grain yield prediction skill ensuing monsoon season station at Bhubaneswar, India. A stochastic disaggregation used to downscale monthly daily weather sequences. These series are taken as input Crop Estimation through Resource Environment Synthesis (CERES)-rice simulation model different stages forecast: June–September (4 month forecast),...
India Meteorological Department (IMD), Ministry of Earth Sciences (MoES) in collaboration with Indian Council Agriculture Research (ICAR), State Universities (SAUs) , Institute Technology (IITs) and other organizations is rendering weather forecast based District level Agrometeorological Advisory Service (AAS) for benefits farmers the country under centrally sponsored scheme ‘Atmosphere & Climate Research-Modelling Observing Systems Services (ACROSS) ’ MOES. AAS, popularly known as...
India gets the maximum amount of rainfall during months June to September (JJAS) which is known as summer monsoon season.The erratic nature Indian (ISMR), in terms both and distribution, highly responsible for interannual variability agricultural production well occurrence floods droughts.Accurate seasonal predictions ISMR are required appropriate hydrological planning disaster management systems.Studies have revealed that probabilistic prediction, based on products General Circulation...
IMD started issuing quantitative district level weather forecast upto 5 days on operational basis from 1st June, 2008. The products comprise of forecasts for seven parameters, viz., rainfall, maximum and minimum temperatures, wind speed direction, relative humidity cloudiness. rainfall is generated based multi model-ensemble techniques (MME). For other ECMWF (presently IMDGFS) are used. These further value added, by the respective MCs/RMCs forwarded to 130 Agrometeorological Field Units...
In recent past extreme weather events are causing great concern in different sectors contributing to the Indian economy. Among other, agricultural badly affected by events. Weather and climate information play a role minimizing loss of crops. India Meteorological Department is doing yeomen’s service providing advance including monitoring along with proper advisories farming community using state art instruments & technology through efficient delivering mechanism ultimately help farmers...
Accurate information of crop water requirements is essential for optimal growth and yield. Assessing this at the appropriate time, particularly during vegetative reproductive stages when demand highest, crucial successful production. Our study cantered on drought-prone Marathwada region, specifically targeting years 2015 to 2020, encompassing challenging drought year favourable 2020. The stress was detected using (CWSI) index compared with normalized difference vegetation (NDVI) wetness...
सार -पु णे नगर ननगम
Abstract. To assess the phenological changes in Moist Deciduous Forest (MDF) of western Himalayan region India, we carried out NDVI time series analysis from 2013 to 2015 using Landsat 8 OLI data. We used vegetation index differencing method calculate change (NDVIchange) during pre and post monsoon seasons these were behaviour MDF by taking effect a set environmental variables into account. understand on phenology, designed linear regression with sample-based NDVIchange values as response...
The agrometeorological data of toria (variety M-27) at Jorhat and Shayamakhunta for the period 1986-87 to 1992-93 were used assessing phenological development in relation heat unit, water use, photothermal heliothermal unit photosynthetically active radiation (PAR) requirement Jorhat. Photothermal, use PAR higher than that Heat efficiency (HUE) (RUE) also showed variations time space which comparatively early sown crops. A curvilinear relationship between duration (days) units was derived...
Abstract Accurate and timely information of evapotranspiration ( ET 0 ) is essential for multiple agricultural applications, including irrigation scheduling, studying crop-specific water loss at different growth stages, predicting crop yields, forecasting drought conditions. The aim this study to examine the spatiotemporal patterns facilitate monitoring demand, optimizing usage, enhancing advisory services. This paper estimates regional-level daily gridded data with a spatial resolution 12.5...