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K. K. Singh

Researcher at India Meteorological Department

Publications -  61
Citations -  567

K. K. Singh is an academic researcher from India Meteorological Department. The author has contributed to research in topics: DSSAT & Crop simulation model. The author has an hindex of 12, co-authored 58 publications receiving 419 citations.

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A boon for mountain populations. Large cardamom farming in the Sikkim Himalaya.

TL;DR: In Sikkim, a small Indian state in the eastern Himalaya, has become popular only since 1990; the main focus is on ecotourism, however, only a small segment of the population is engaged in this sector as discussed by the authors.
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Response of Soybean [Glycine max (L.) Merrill] to Sources and Levels of Phosphorus

TL;DR: A field experiment was conducted during rainy seasons of 2007-2009 in India (Manipur) to study the effect of different sources and levels of phosphorus on productivity of soybean as discussed by the authors.
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Performance of an age series of Alnus-cardamom plantations in the Sikkim Himalaya: nutrient dynamics.

TL;DR: Nutrient cycling and dynamics indicated that Alnus-cardamom plantations performed sustainably up to 15-20 years, and the management practice should be altered to incorporate replantation after this age.
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Comparison of different satellite-derived rainfall products with IMD gridded data over Indian meteorological subdivisions during Indian Summer Monsoon (ISM) 2016 at weekly temporal resolution

TL;DR: In this paper, an 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) rainfall products, Integrated Multi-satellite Retrievals for GPM (IMERG) derived from JPL, NASA, and National Center for Medium Range Weather Forecasting (NCMRWF) Merged
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Evaluating the performance of RegCM4.0 climate model for climate change impact assessment on wheat and rice crop in diverse agro-climatic zones of Uttar Pradesh, India

TL;DR: This paper explored the biasness in the RegCM climate model outputs for diverse agro-climatic zones of Uttar Pradesh, India, with emphasis on wheat and rice yields with and without bias correction using quantile mapping approach for the baseline period of 1971-2000.