K.K. Singh

Ministry of Earth Sciences | MoES · india meteorological department new delhi

Predicting the impacts of future climate on food and fibre production are essential for devising suitable adaptations strategy. This study aims to understand the impact of climate change on cotton crop change using Regional Climate Model (RCM) in the near and far future. The RCM model considered for the study is RegCM4 from CORDEX-SA experiment for...

Pigeon pea is the second most important grain legume in India, primarily grown under rainfed conditions. Any changes in agro-climatic conditions will have a profound influence on the productivity of pigeon pea (Cajanus cajan) yield and, as a result, the total pulse production of the country. In this context, weather-based crop yield prediction will...

Effective utilization of available weather and climate information is important to develop efficient and sustainable agricultural production systems. National meteorological agencies supported by global and regional centers are trying to generate climate forecasts tailored to sector-specific operational applications for a wide range of potential us...

The water requirement of the crop is an important phenomenon to estimate the crop yield and understanding the crop water necessity at different crop phenological stages as soil and plant water deficits cause yield reduction. The most crucial crop stages that dictate crop yield are at the vegetative and reproductive stages, reducing the crop yield b...

Verification of Block wise rainfall forecast for Nalanda, Supaul and East Champaran district of Bihar

Agricultural risks are provoked by variety of factors, like climatic variability, extreme weather events, crop management practices and soil fertility status etc. which ultimately leads to uncertainties in yields and prices of the food. To cater the need of crop yield estimates at an early stage of crop growth starts to be provided by Ministry of A...

This study presents an artificial neural network (ANN) approach to estimate the drought events in the Indian state of Madhya Pradesh, also known as central India. Here, sea surface temperature (SST) data obtained from centennial observation-based estimates (COBE) and seasonal rainfall station data (June–July–August) obtained from the India Meteorol...

The extreme rainfall events are natural hazards; affect the country's economy, especially an agricultural country like India. In the current study, the uncertainty of Global Forecasting System (GFS) T1534 model in predicting heavy rainfall (>64.5 mm) at district level under particular meteorological subdivisions of India has been evaluated for the...

Performance of dynamic crop growth simulation model (CERES -Wheat v3.5) has been evaluated for various wheat genotypes in wheat growing regions of India. The genetic coefficients were developed and sensitivity analysis was carried out for the genotypes under study. The simulated phenology and yield were found in agreement with observed ones suggest...

goil-Plant -Atmosph erc-Watcr (S PAW) model has been applied 10 sim ula te soil-moistureprofiles for .... hea l in Delhi. Prescr ibed Inrorrnation on wheat growt h characteristics and soils alongwit h dailymeteorological data on evaporation an d rainfall were used to estima te soil- moi sture 31 a locat ion in Delhi for I Iyear s. Soil moisture sim...

Understanding of Indian Monsoon and Weather forecasting and its impact on Indian agriculture.Role of observed weather information and weather forecast in Crop Yield Forecasting. Weather services provided to farmers by India Meteorological Department and their benefits

It refers to the way different economic elements like, individual workers, managers, productive organizations such as factories or firms, and government agencies are linked together to form an organic whole. The economic system governs the factor of production, including land, capital, labour, and physical resources. The production of goods and ser...

With the changing climate, reliable climate projections are essential for agriculture risk management. The present study aims to explore the output of a regional climate model (RCM) at different climatic regimes and its applications in crop simulation models. Here, a comparative study of the cotton crop growth and yield response for Akola in the ce...

भारतीय पद्धति में प्रकृति के दोहन की परम्परा नहीं रही है। भारतीय चिन्तन में पर्यावरण को बिना छति पहुंचाए प्रकृति से लाभ लेने का प्रयास किया जाता रहा है। कदाचित किसी कृषि-मौसम वैज्ञानिक को इनमें से कोई सूत्र किसी विशिष्ट अनुसन्धान की ओर प्रेरित कर सकता है, जिसके परिणामस्वरूप खेतों की स्वाभाविक ऊर्जा को बिना छति पहुँचाये उर्वरता सुरक्षित रखकर खेती से...

Multiple regression approach has been used to forecast the crop production widely. This study has been undertaken to evaluate the performance of stepwise and Lasso (Least absolute shrinkage and selection operator) regression technique in variable selection and development of wheat forecast model for crop yield using weather data and wheat yield for...

In recent years, in many parts of the country, indebtedness, crop failures, unpaid prices and poor returns have resulted in agrarian distress. The government has identified and introduced several programs to address these critical issues viz. crop insurance, lending waivers etc. among them. Crop insurance as a concept for risk management in agricul...

DSSAT-CANEGRO model have been used to determine crop potential yield over eight districts (viz; Muzaffarnagar, Shahjahanpur, Agra, Lucknow, Basti, Faizabad, Allahabad and Jhansi) representing different agroclimatic conditions & environmentof Uttar Pradesh state in India. The thirty six years (1980-2016) daily weather data of above districts were us...

In this present study, Soil and Water Assessment Tool (SWAT) embedded with ArcGIS interface has been used to simulate the surface runoff from the un-gauged sub-catchments in the upper catchment of Subarnarekha basin. Model calibration and validation were performed with the help of Sequential Uncertainty Fitting (SUFI-2) in-built in the SWAT-CUP pac...

The Indian government imposed a countrywide lockdown on 25 March 2020 to contain the COVID-19 virus. The lockdown has led to a tremendous economic loss because of the closing of all industries and other activities. However, it has brought a brighter side to environmental quality improvement. This study assesses the influence of lockdown on Delhi-NC...

Optimum management of natural resources is critical for sustainable growth and development. Under rapidly increasing population and industrialization, the groundwater depletion rate is way more than that of the groundwater recharge rate in India. The situation is more alarming in North-West India, where the amount of precipitation is quite low for...

Annexure III. Species coefficients of cultivars of different maturity groups of pigeonpea used in simulation

Annexure IV. Soil data used in simulation of cultivars of different maturity groups of pigeonpea

Annexure V. Experimental data used in simulation of cultivars of different maturity groups of pigeonpea

Annexure II. Genotype coefficients of cultivars of different maturity groups of pigeonpea used in simulation

Annexure I. Ecotype coefficients of cultivars of different maturity groups of pigeonpea used in simulation

The CROPGRO-pigeonpea model embedded in DSSAT v4.7.5 was used to assess the impact of climate change on phenology and grain yield of reference genotype of different pigeonpea maturity groups. The impact of climate change delayed reproductive stages (anthesis, maturity) and decreased grain yield of reference genotype of different pigeonpea maturity...

Agriculture, with its allied sectors, is unquestionably are highly dependent on weather conditions, any weather aberrations cause atmospheric and other forms of stresses and in turn, will increase the vulnerability of these farmers to economic losses (Srinivasarao et al., 2016; Bal and Minhas, 2017). Crop insurance concept was introduced in India f...

Himalayan glaciers are under the enhanced retreating process and filed observations are scarce due to the harsh terrain and inclement weather in the upper Himalayan region. Under these conditions, the use of remote sensing and GIS technique is the best option for long term change detection in glacial features. Glacier length, area, and volume chang...

The present investigations entitled “Forecasting of soybean and wheat production using DSSAT in Malwa Region” was carried out in the experimental farm of AICRP on IFS, RVSKVV, College of Agriculture, Indore (M.P.) during Kharif and Rabi season of 2013- 14 and 2014-15. Phenological observations of soybean recorded at Anthesis days, first pod days, f...

Rainfall is a very discontinuous parameter and therefore, verification is a difficult and complex process. This research paper provides an overview on the verification of CORDEX forecasted rainfall for moderate scenario (RCP 4.5) using various skill scores. The accuracy of forecasted rainfall in selected stations representing two agro-climatic zone...

Sorghum is an important dual-purpose crop of India grown for food and fodder. Prevailing weather conditions during the crop growth period determine the yield of sorghum. Hence, the crop yield forecasting models based on weather parameters will be an appropriate option for policymakers and researchers to develop sustainable cropping strategies. In t...

Atmospheric temperature profiles retrieved from a geostationary INSAT-3D (Indian National Satellite System) sounder level-2 physical retrieval data are evaluated with respect to radiosonde observations, Atmospheric Infrared Sounder (AIRS), and National Centers for Environmental Prediction and Department of Energy (NCEP-DOE) reanalysis-2 data sets o...

The crop simulation model simulates the plants process and estimate the yield as function of weather conditions, soil, and crop management information. Global and reliable crop simulation model DSSAT (Decision Support System for Agrotechnology Transfer) is widely used in the modeling of agriculture system by the Research community. This crop model...

CANEGRO-Sugarcane model was used to assess the impact of climate change on sugarcane in different combinations of elevated temperature and CO2 concentration. Additionally, we used dynamically downscaled bias-corrected regional climate model (RCM) data using RegCM4 under RCP4.5 scenarios (2040–2060) to project the future change in sugarcane stalk fr...

In this study, the location specific rainfall forecast from two NWP Models run operationally at India Meteorological Department (IMD) is verified for the summer monsoon (June-September) 2017. Two different statistical techniques used to downscale the forecast at the station level, i.e., 4 point interpolation or nearest neighbourhood (NBD) technique...

The CERES Wheat (V4.6) Simulation Model was calibrated and validated using experimental field data collected on phenology, yield and yield attributes of ruling cultivars of wheat under FASAL (Forecasting Agricultural output using Space, Agro meteorology and Land base observation) scheme during the winter (rabi) seasons of 2012-13 to 2015-16 at Faiz...

The CROPGRO-pigeonpea model embedded in DSSAT v4.7.5 was used to assess the impact of climate change on phenology and grain yield of reference genotype of different pigeonpea maturity groups. The impact of climate change delayed reproductive stages (anthesis, maturity) and decreased grain yield of reference genotype of different pigeonpea maturity...

Rising concentration of atmospheric carbon dioxide (CO2) is reported to cause fertilization effect resulting in enhanced crop biomass and yields and may alter the water use of plants. However, factors like air temperature and nitrogen (N) management could modify the feedbacks of CO2 on crop water use. Hence, this field study was carried out in open...

The rainfall forecast of global forecasting system (GFS) model running at the India Meteorological Department (IMD), i.e., GFS T574 (25 km) and GFS T1534 (12.5 km) is verified at its natural resolution. A verification study is conducted for the rainfall forecast over Indian window during the summer monsoon season (June–September) 2016. Regional ver...

Timely agricultural advisories to farmers can enhance their decision-making and reduce production risk under challenging weather conditions. To enhance access to relevant climate information services in India, a mobile application called Meghdoot was designed to deliver weather information and crop-specific advisories, as a joint initiative of the...

Calibrated probabilistic forecasts of weekly rainfall were developed for the state of Bihar innorthern India and issued in real time during the June–September 2018 monsoon period, up to 2 weeksin advance. The forecasts are based on subseasonal forecasts from the U.S. National Centers forEnvironmental Prediction CFSv2 model and were calibrated again...

Remote sensing-based Crop evapotranspiration can help and provide guidance for crop water management. This paper quantified crop water requirement and crop water stress for soybean according to vegetation cover and land surface changes in the semi-arid region using remote sensing data. In this regard, MODIS products of land surface temperature (LST...

Mustard aphid, Lipaphis erysimi (Kaltenbach), is the most serious pest of Rapeseed-Mustard which is known to be responsible for a tremendous loss in yield and oil content, under various agro-climatic conditions of India. Information support on aphid occurrence and intensity is necessary for effective management by the farmers in the mustard-growing...

Mustard Aphid, Lipaphis erysimi (Kaltenbach) is the most serious sucking pest of rapeseed-mustard which causes huge avoidable losses in yield and oil content, under various agro-climatic conditions of India. An effort was made to study its weather pest relationship using data from various Directorate of Rapeseed-Mustard Research (DRMR) centres, tar...

Precipitable water vapor is an important and highly atmospheric variable in temporal and spatially; the knowledge of its variability is important for meteorological and climatological studies. The main objective of this paper, an evaluation of Total Precipitable Water (TPW) retrieved from the Indian National Satellite System (INSAT-3D) data provide...

Rice is an important cereal crop and part of daily diet not only in India but also throughout Asia. Agriculture is highly dependent on the variations in temperature, precipitation and solar radiation and long-term climate patterns. The pattern of changing climate in last 30 years indicate that predictable and possible changes in rainfall and temper...

In the present study, a model output statistics (MOS) guidance model was developed by using the neural network technique for a bias-corrected rainfall forecast. The model was developed over the Indian window (0–\(40{^{\circ }}\hbox {N}\) and 60–\(100{^{\circ }}\hbox {E}\)) by using the observed and global forecast system (GFS) T-1534 model output (...

Meteorological drought in India arises due to significant deficiency of rainfall for abnormal periods over an area. The large spatial and temporal variability of Indian summer monsoon rainfall (ISMR) over the Eastern Gangetic Plain (EGP) of India triggers meteorological drought (further leading to agricultural and hydrological drought), with widesp...

An evaluation of water vapor profiles retrieved from a geostationary Indian National Satellite (INSAT-3D) sounder level-2 physical retrieval and its inter comparison with Atmospheric Infrared Sounder (AIRS) L2 Standard Physical Retrieval (AIRS- only) version 6 profiles over the Indian region. This evaluation is carried out on the spatial distributi...

Rising carbon dioxide (CO2) concentration causes fertilization effects resulting in enhanced crop biomass and yields and thus likely enhances nutrient demand of plants. Hence, this field study was carried out to investigate the effects of elevated CO2 and N on biomass yield, nutrient partitioning, and uptake of major nutrients by soybean (Glycine m...

Reliable forecast of crop production before the harvest is important for advance planning, formulation and implementation policies dealing with food procurement, its distribution, pricing structure, import and export decisions, and storage and marketing of the agricultural commodities. Weather plays a very important role in crop growth and developm...

Agriculture production is depended upon the weather phenomena of any particular place. The crop growth and phenology during its growing season are entirely determined by the climatic condition of the location. Possible changes in temperature and solar radiation are expected to significantly impact the crop growth and yields. In this study, CERES wh...

The seasonal scale precipitation amount is an important ingredient in planning most of the agricultural practices (such as a type of crops, and showing and harvesting schedules). India being an agroeconomic country, the seasonal scale prediction of precipitation is directly linked to the socioeconomic growth of the nation. At present, seasonal prec...

In this study, effort is made to estimate weekly rainfall over India at 36 meteorological subdivisions during monsoon 2016 (June to September) by using several precipitation products from different satellites which include Indian National Satellite System (INSAT) INSAT-3D derived Hydro Estimate (HE), INSAT Multi-Spectral Rainfall Algorithm (IMSRA)...

Weather and climate information plays a major role in the entire crop cycle right from selecting the most suitable crop/variety/ field preparation up to post harvest operations and marketing; and if provided in advance can be helpful in inspiring the farmer to organize and activate their own resources in order to reap the benefits by judicious appl...

The application of the DSSAT crop growth simulation model for resource and climate impact study in a particular region requires calibrating and validating the model. In the current study, CERES –rice and CERES-wheat models for rice and wheat crops were calibrated and validated with the field experimental data. To get the best match between cultivar...

Since 2002, Gravity Recovery and Climate Experiment (GRACE) satellite has provided monthly estimates of land water storage variations by monitoring time-variable components of earth's gravity field. We present GRACE satellite RL05 gravity data at 1° × 1° resolution to estimate terrestrial water storage change (surface water + groundwater) over Indi...

Cotton is a major cash crop of global significance. It has a peculiar and inherent growth pattern with coinciding physiological growth stages. This study is based upon modelling and simulation for Hisar region. Stage-wise water stress has been quantified for three Bt-cotton cultivars with three sowing dates under both irrigated and non-irrigated (r...

GFLD-CM3 model was used to generate weather data under RCPs scenario i.e. RCP 2.6, 4.5, 6.0 and 8.5 for years 2010, 2035, 2065 and 2095 for Varanasi, Uttar Pradesh. The generated data were used to assess the impact of climate change on phenology and yield of wheat crop using CERES-Wheat model. The results revealed that the impact climate change has...

One has to understand all the intricacies of its biotic and abiotic stress to pave the a way for the Silver Fibre Revolution. This is also, to imply the best management practices necessary, well derived through experiments or modeling. Since the introduction of Bt-Cotton there occurred a revolution in the production of cotton crop in India. The stu...

The Extended Range Forecasts System (ERFS) has been generating monthly and seasonal forecasts on real-time basis throughout the year over India since 2009. India is one of the major rice producer and consumer in South Asia; more than 50% of the Indian population depends on rice as staple food. Rice is mainly grown in kharif season, which contribute...