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  1. KRISHI Publication and Data Inventory Repository
  2. Natural Resource Management A8
  3. ICAR-Central Research Institute of Dryland Agriculture L9
  4. NRM-CRIDA-Publication
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"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/32399
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DC FieldValueLanguage
dc.contributor.authorICAR_CRIDA_AICRPAMen_US
dc.date.accessioned2020-02-25T04:52:01Z-
dc.date.available2020-02-25T04:52:01Z-
dc.date.issued2017-01-01-
dc.identifier.citationNot Availableen_US
dc.identifier.issnNot Available-
dc.identifier.urihttp://krishi.icar.gov.in/jspui/handle/123456789/32399-
dc.descriptionNot Availableen_US
dc.description.abstractHigher variability of seasonality index in monsoon rainfall indicates relative lack of reliability both in timing and quantum of rainfall in the state of Gujarat. There is no trend regarding amount of rainfall, number of rainy days and occurrence of extreme rain events in more than 90% taluks of Vidarbha region of Maharashtra. Analysis of 2000-2014 data indicates that there is more than 85% probability for drought in Chikkalallapur, Aland, and Jewagi taluks in Kalaburagi district and Shivahatti taluk in Gadag district of Karnataka for drought in a year. Study of long term data (1985-2015) indicate that Faizabad located in the Eastern Plain Zone of Uttar Pradesh experiences on an average 5 days of heat wave and 3 days of cold wave per year. The extreme minimum temperature is also on a decreasing trend. In Haryana, regarding occurrence of extreme events, there is a decreasing trends for extreme minimum temperature and rainfall events indicate enhanced wetting and warming conditions over the entire state. Correction functions for temperature (using Leander & Buishand method and difference method) and rainfall (using modified difference method and difference method) was done for PRECIS simulated downscaled data (1961-1990) with the actual observatory data to remove bias for various met stations of Punjab. Four climatic types of West Bengal state viz. dry sub-humid, moist sub-humid, humid and per-humid dry sub-humid zone having MAI values ranging from 20 to 80. The dry subhumid climate covers around 50% of the area especially the central part of West Bengal. Demarcation of rice and wheat productivity zones were delineated for Chhattisgarh state was undertaken. Areas where scope exists to either increase acreage or productivity were identified. Assured Rainfall at 25, 50 and 75 per cent probability levels were estimated for Bihar. At 50 per cent probability level, the longest water availability period of 22 weeks was observed in Kishanganj as against the shortest period of 13 weeks in Arwal district. In Kerala, a significant increasing trend was observed in the number of hot days for two districts viz. Thiruananthapuram and Wayand during SWM season and in all four districts during NEM season. In general El Niño is positively influencing the NEM rainfall over Kerala. Trends of different rainfall spells (1970-2014) in 32 districts of Rajasthan indicates that longest spell of > 10 mm rainfall has significant decreasing trend at Jalore 8. Summary All India Coordinated Research Project on Agrometeorology 98 district only whereas the trend in other districts was not significant. A significant decreasing trend was observed in Karauli and Nagaur districts for rainfall > 25 mm and in Jalore for rainfall > 100 mm.en_US
dc.description.sponsorshipNot Availableen_US
dc.language.isoEnglishen_US
dc.publisherICAR_CRIDA_AICPRAMen_US
dc.relation.ispartofseriesNot Available;-
dc.subjectrainfal, temperature, humid,per-humid,productivityen_US
dc.titleAnnual Report 2016-17..en_US
dc.title.alternativeAnnual Report 2016-17..en_US
dc.typeAnnual Reporten_US
dc.publication.projectcodeNot Availableen_US
dc.publication.journalnameNot Availableen_US
dc.publication.volumenoNot Availableen_US
dc.publication.pagenumberNot Availableen_US
dc.publication.divisionUnitNot Availableen_US
dc.publication.sourceUrlNot Availableen_US
dc.publication.authorAffiliationICAR_CRIDA_AICRPAMen_US
dc.ICARdataUseLicencehttp://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdfen_US
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