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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(8): 1694-1704
DOI: https://doi.org/10.20546/ijcmas.2018.708.194


Satellite Based Estimation and Validation of Rainfall Distribution in Monsoon over Washim (Maharashtra), India
Sudarshan Awatade1*, Sumedh R. Kashiwar2, Souvik Ghosh1, R.B. Singhandhupe3, Usha R. Dongarwar4 and Digvijay S. Dhakre5
1Department of Agricultural Extension
2Department of Soil Science and Agricultural Chemistry
 5Department of Agricultural Economic & Agricultural Statistics,Palli Shiksha Bhavana (Institute of Agriculture), Visva-Bharati, Sriniketan, West-Bengal-731236, India
3Department of Agronomy, Central Institute for Cotton Research, Nagpur, Maharashtra-441108, India
4Krishi Vigyan Kendra, Sakoli, Bhandara, Maharashtra-441802, India
*Corresponding author
Abstract:

Worldwide agriculture is sensitive to short-term changes in weather and to seasonal, annual and longer-term variations in climate. The variations in the meteorological parameters have overriding influence on the agricultural systems. It is widely believed that developing countries such as India will be impacted more severely than developed countries, where, about 56% of the net cultivated area is rain-fed that largely depends on monsoon rainfall. Thus accurate estimation of rainfall is crucial for crop yield assessment, water resource management and flood and drought monitoring for the area. But, traditional precipitation records are thought to be rarely complete, to analyze these limitations a comparison between rain gauge observations and satellite-based estimates such as the Tropical Rainfall Measuring Mission (TRMM) is carried out in this paper. Different statistical tools like coefficient of determination, Mean Bias Error, Root Mean Square Error and NRMSE are used to have validation of TRMM data with rain gauge data. TRMM data found overestimated to the rain gauge data with 58.17 % of error, capturing 60.6 % of variability in spatial distribution with traditional rain gauges. It is concluded from the analysis that there is some dissimilarity in the spatial distribution between the two which may due to lack of ground rain gauge stations at some remote areas or diversified topography of the district area. Hence, it may be useful in estimating rainfall particularly in regions where no gauge observations available and therefore such measurements are useful for many water related applications.


Keywords: Rainfall, TRMM, Vidharbha
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How to cite this article:

Sudarshan Awatade, Sumedh R. Kashiwar, Souvik Ghosh, R.B. Singhandhupe, Usha R. Dongarwar and Digvijay S. Dhakre. 2018. Satellite Based Estimation and Validation of Rainfall Distribution in Monsoon over Washim (Maharashtra), India.Int.J.Curr.Microbiol.App.Sci. 7(8): 1694-1704. doi: https://doi.org/10.20546/ijcmas.2018.708.194