Abstract
India Meteorological department has added many data and research networks during the 135 years for climate-dependent sectors, such as agriculture, forestry, and hydrology, rendering a modern scientific background to atmospheric science in India. The inclusion of the latest data from satellites and other modern observation platforms, such as Automated Weather Stations (AWS), and ground-based remote-sensing techniques in recent years has strengthened India’s long-term strategy of building up a self-reliant climate data bank for specific requirements, and also to fulfill international commitments of data exchange for weather forecasting and allied research activities. It has augmented forecasting capabilities to meet the operational requirements of day to day seamless weather forecasts in various ranges.
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References
Krishnamurti TN, Kishtawal CM, Larow T, Bachiochi D, Zhang Z, Willford EC, Gadgil S, Surendran S (1999) Improved weather and seasonal climate forecasts from multimodel super ensemble. Science 285:1548–1550
Roy Bhowmik SK, Durai VR, Das Ananda K, Mukhopadhaya B (2009) Performance of IMD Multi-model ensemble based district level forecast system during summer monsoon 2008, IMD Met Monograph No. 8/2009
Roy Bhowmik SK, Durai VR (2010) Application of multi-model ensemble technique for real-time district level forecasts over Indian region in short range time scale. Meteorl Atmos Phy 106:19–35
Rathore LS, Parvinder Maini (2008) Economic Impact Assessment of Agro-Meteorological Advisory Service of NCMRWF. Report no. NMRF/PR/01/2008, 104pp, Published by NCMRWF, Ministry of Earth Sciences, Government of India, A-50 Institutional Area, Sector- 62, NOIDA, UP, INDIA 201 307
Rathore LS, Singh KK, Baxla AK (2009) Agromet services for ePachayats. Information for Development VII(4):14–16
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Tyagi, A. (2011). Modernization of Observation and Forecasting System in IMD in Support of Agromet Services. In: Attri, S., Rathore, L., Sivakumar, M., Dash, S. (eds) Challenges and Opportunities in Agrometeorology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19360-6_1
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DOI: https://doi.org/10.1007/978-3-642-19360-6_1
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