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Dey, A.
- Real-Time Performance of a Multi-Model Ensemble-Based Extended Range Forecast System in Predicting the 2014 Monsoon Season Based on NCEP-CFSv2
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Authors
A. K. Sahai
1,
R. Chattopadhyay
1,
S. Joseph
1,
R. Mandal
1,
A. Dey
1,
S. Abhilash
1,
R. P. M. Krishna
1,
N. Borah
1
Affiliations
1 Indian Institute of Tropical Meteorology, Pune 411 008, IN
1 Indian Institute of Tropical Meteorology, Pune 411 008, IN
Source
Current Science, Vol 109, No 10 (2015), Pagination: 1802-1813Abstract
The real-time validation of any strategy to forecast the Indian summer monsoon rainfall requires comprehensive assessment of performance of the model on sub-seasonal scale. The multi-model ensemble (MME) approach based on the NCEP-CFS version 2 models, as developed and reported earlier, has been employed to forecast the 2014 monsoon season on the extended range scale with 3-4 pentad lead time (where a pentad corresponds to five-day average). The present study reports the broad performance of the MME employed on experimental basis to forecast the salient features of the real-time evolution of the 2014 monsoon season during June to September. The MME is successful in predicting both these features well in advance (3-4 pentad or 15-20 days lead time). The assessment of the model performance at pentad scale lead time shows that the weak monsoon conditions that are evident in precipitation and lower level wind anomalies are well captured as a whole up to four pentad advance lead time. The subseasonal propagation during onset and withdrawal is also evident in the forecast. Finally, the region-wise performance shows that the spatial extent of the skillful forecast encompasses central India as well as the monsoon zone for the 2014 monsoon season. Considering the natural variation in the forecast skill of extended range forecast itself as reported in earlier studies, the 2014 monsoon forecast seems to be skillful for operational purposes. For other regions (e.g. North East India), the forecast could be skillful at times, but it still requires further research on how to improve the same.Keywords
Monsoon Forecast, Multi-Model Ensemble, Pentad, Lead Time.Full Text
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- Co-Inoculation of Phosphate Solubilizing Bacteria and Rhizobia for Improving Growth and Yield of Mungbean (Vigna radiata L.)
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Authors
Affiliations
1 Regional Research Station (U.B.K.V.) (Hill Zone), Kalimpong, Darjeeling (W.B.), IN
2 Regional Research Station (B.C.K.V.), New Alluvial Zone, Gayeshpur, Nadia (W.B.), IN
3 Directorate of Reserach, Bidhan Chandra Krishi Viswavidyalaya, Kalyani, Nadia (W.B.), IN
1 Regional Research Station (U.B.K.V.) (Hill Zone), Kalimpong, Darjeeling (W.B.), IN
2 Regional Research Station (B.C.K.V.), New Alluvial Zone, Gayeshpur, Nadia (W.B.), IN
3 Directorate of Reserach, Bidhan Chandra Krishi Viswavidyalaya, Kalyani, Nadia (W.B.), IN
Source
An Asian Journal of Soil Science, Vol 11, No 1 (2016), Pagination: 207-212Abstract
Mung bean is an important pulse crop in West Bengal, growing nearly 11.7 thousands hectares of land. Scientific literature and case studies of inoculating of microbes by various scientists found significant response to crop growth. The present study was made to reduce fertilizer application rate by coinnoculating phosphate solubilizing bacteria and rhizobia for mung bean. The experiment was conducted in the year 2011 and 2012 at the 'Instructional Farm' Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal. FactorialRandomized Block Design was laid out with three replications and 10 treatment combinations. The treatments was without inoculation (A0) and seed inoculation with Rhizobium and phosphate solubilizing bacteria (PSB) strain (A1) as factor one and fertilizer treatments like untreated control (no fertilizer application B0), application of NPK (recommended dose as basal B1), 75 per cent recommended dose of N and P2O5 + 100% K2O (B2) and 50 per cent recommended dose of N and P2O5 + 100% K2O (B3). It was observed that inoculation with Rhizobium and phosphate solubilizing bacteria (PSB) along with 75 per cent RDF i.e. treatment combination (A1B2) was at par with treatment A1B1 i.e. 100 per cent RDF with respect to all the growth parameters and yield attributing characters of mung bean. So, it can be concluded that both 25 per cent nitrogenous and phosphatic fertilizer of the recommended dose can be substituted by seed co-inoculation with phosphate solubilizing bacteria and rhizobia without affecting the yield compared to 100 per cent RDF.Keywords
Bacillus polymyxa, Rhizobia, Mung Bean, Seed Inoculation.
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- Monthly Variations in Feeding Intensity and Food Spectrum of Tilapia niloticus (Linneaus) in Relation to Biological Indices
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Authors
Affiliations
1 Dept. of Fishery Biology & Resources Management, West Bengal University of Animal and Fishery Sciences, 5, Budherhat Road, Panchasayar, Koikata-700094, IN
1 Dept. of Fishery Biology & Resources Management, West Bengal University of Animal and Fishery Sciences, 5, Budherhat Road, Panchasayar, Koikata-700094, IN