Institution
Indian Agricultural Statistics Research Institute
Facility•New Delhi, India•
About: Indian Agricultural Statistics Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Small area estimation. The organization has 454 authors who have published 870 publications receiving 7987 citations.
Papers published on a yearly basis
Papers
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01 Jan 20161 citations
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TL;DR: The steady state behaviour in discrete time of a limited space queueing problem with random memory arrivals wherein service is accomplished through S-heterogeneous parallel channels with explicit probabilities for the number of units is studied.
1 citations
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30 Jun 2021TL;DR: In this paper, an attempt has been made to study the temporal variation in monthly, seasonal and annual rainfall, and average annual maximum and minimum temperature for the period 1901-2015 over Ranchi district of Jharkhand, India.
Abstract: In this paper, an attempt has been made to study the temporal variation in monthly, seasonal and annual rainfall, and average annual maximum and minimum temperature for the period 1901-2015 over Ranchi district of Jharkhand, India. Long-term changes in rainfall, temperature was determined by Man-Kendall rank statistics and Sen’s slope, and forecasting of time series was determined by ARIMA model. The results revealed that there was significant decrease of average rainfall in the month of February and August while increase in month May and Pre-monsoon season. Average rainfall in the month of February, May, August and Pre-monsoon season showing insignificant increasing as well as decreasing rainfall trend. The average annual maximum and minimum temperature showing decreasing and increasing trend over Ranchi district during the period 1901 to 2015. This paper also describes five-year prediction of rainfall and temperature climatic variables.
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1 citations
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TL;DR: In this paper, an empirical technique based on sequential dry days for assessment of atmospheric drought is presented. But, apart from the soil budgeting approach, there appears to be no method by which years with widely varying amounts of total seasonal rainfall but with different distribution patterns in the different growth stages resulting in atmospheric drought could be distinguished from one another or grouped together.
Abstract: During break periods in the southwest monsoon season in the semi-arid environment of India, crops under rainfed as well as irrigated conditions are prone to the effect of "atmospheric drought" as distinguished from 'soil' or "agricultural drought". This situation occurring at different stages of crop growth for a week or two is not reflected in the soil water balance, but is revealed in the crop growth rates and yields.
Evidence exists of energy gain through advection by evaporating surfaces of the order of 4 to 5 mm/day resulting in an increase in potential evapotranspiration rates by 2-3 mm/day. This situation can be traced on a macroscale to the westerlies during the 'break periods' and on a local scale to the post monsoon warming of surroundings with a reduces intensity. As yet, apart from the soil budgeting approach with the limitation mentioned above, there appears to be no method by which years with widely varying amounts of total seasonal rainfall but with different distribution patterns in the different growth stages resulting in atmospheric drought could be distinguished from one another or grouped together.
This paper while focussing the attention to this aspect illustrates an empirical technique based on sequential dry days for assessment of atmospheric drought.
1 citations
Authors
Showing all 462 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sunil Kumar | 30 | 230 | 3194 |
Atmakuri Ramakrishna Rao | 21 | 109 | 1803 |
Charanjit Kaur | 20 | 80 | 4320 |
Anil Rai | 20 | 208 | 1595 |
Ranjit Kumar Paul | 17 | 93 | 875 |
Hukum Chandra | 17 | 75 | 825 |
Sudhir Srivastava | 17 | 69 | 1123 |
Krishan Lal | 16 | 68 | 1022 |
Ashish Das | 15 | 146 | 1218 |
Eldho Varghese | 15 | 127 | 842 |
Deepti Nigam | 14 | 29 | 812 |
Mir Asif Iquebal | 14 | 88 | 604 |
Rajender Parsad | 13 | 98 | 799 |
Deepak Singla | 13 | 32 | 422 |
Prem Narain | 13 | 80 | 503 |