Precipitation trend analysis over Eastern region of India using CMIP5 based climatic models

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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.

Figures

  • Figure 1: Map of study area
  • Table 1: Description of CMIP5 Models
  • Figure 2: Zc statistics of CMIP5 models under historical and RCP scenario in low to medium rainfall category.
  • Figure 3: Zc statistics of CMIP5 models under historical and RCP scenario in heavy rainfall category.
  • Figure 4: Zc statistics of CMIP5 models under historical and RCP scenario in very heavy rainfall category.
  • Figure 5: Zc statistics of CMIP5 models under historical and RCP scenario in extremely heavy rainfall category.
  • Figure 6: HadGEM2-ES, MIROC5, GFDL-CM3, CCSM4

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CITATION STYLE

APA

Kundu, A., Dwivedi, S., & Chandra, V. (2014). Precipitation trend analysis over Eastern region of India using CMIP5 based climatic models. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 40, pp. 1437–1442). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprsarchives-XL-8-1437-2014

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