Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1437-1442, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/1437/2014/
doi:10.5194/isprsarchives-XL-8-1437-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
23 Dec 2014
Precipitation Trend Analysis over Eastern Region of India Using Cmip5 Based Climatic Models
A. Kundu, S. Dwivedi, and V. Chandra K. Banerjee Centre of Atmospheric and Ocean Studies, University of Allahabad, Allahabad, Uttar Pradesh, India
Keywords: Climate Change, Precipitation Trends, CMIP5 models, RCP Abstract. Climate science is a complex field as climate is governed by processes that interact and operate on a vast array of time and space scales. The processes involving radiative transfer, chemistry and phase changes of water are most easily described at atomic and molecular scales; the influence of ice sheets, continents and planetary scale circulations controlling the basic energy balance of the planet operate at continental scales; even planetary orbital and solar variations operating at millennial time scales cannot be ignored. Global as well as regional climate has changed due to human activities like land use changes, production of industrial effluents and other activities due to the development of the society. The consequences of these changes have a massive impact on atmospheric events like precipitation, temperature etc. So, present and future information of precipitation is required to develop adaptation and mitigation strategies at national and international levels. Precipitation is one of the major phenomena of the atmosphere. So, its prediction and the trend are very necessary to realize the change of climate. The study attempted some model based analysis to assess prediction of rainfall trend using MK test and the Sen’s slope estimator.
Conference paper (PDF, 957 KB)


Citation: Kundu, A., Dwivedi, S., and Chandra, V.: Precipitation Trend Analysis over Eastern Region of India Using Cmip5 Based Climatic Models, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1437-1442, doi:10.5194/isprsarchives-XL-8-1437-2014, 2014.

BibTeX EndNote Reference Manager XML