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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15156
Title: Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India
Authors: Pingale S.M.
Khare, Deepak
Jat M.K.
Adamowski J.
Published in: Atmospheric Research
Abstract: Trend analysis of the mean (monsoon season, non-monsoon season and annual) and extreme annual daily rainfall and temperature at the spatial and temporal scales was carried out for all the 33 urban centers of the arid and semi-arid state of Rajasthan, India. Statistical trend analysis techniques, namely the Mann-Kendall test and Sen's slope estimator, were used to examine trends (1971-2005) at the 10% level of significance. Both positive and negative trends were observed in mean and extreme events of rainfall and temperature in the urban centers of Rajasthan State. The magnitude of the significant trend of monsoon rainfall varied from (-) 6.00. mm/hydrologic year at Nagaur to (-) 8.56. mm/hydrologic year at Tonk. However, the magnitude of the significant negative trends of non-monsoon rainfall varied from (-) 0.66. mm/hydrologic year at Dungarpur to (-) 1.27. mm/hydrologic year at Chittorgarh. The magnitude of positive trends of non-monsoon rainfall varied from 0.93. mm/hydrologic year at Churu to 1.70. mm/hydrologic year at Hanumangarh. The magnitude of the significant negative trends of annual rainfall varied from (-) 6.47. mm/year at Nagaur to (-) 10.0. mm/year at Tonk. The minimum, average and maximum temperature showed significant increasing warming trends on an annual and seasonal scale in most of the urban centers in Rajasthan State. The magnitude of statistically significant annual extreme daily rainfall varied from 2.00. mm at Jhalawar to (-) 1.64. mm at Tonk, while the magnitude of statistically significant extreme annual daily minimum and maximum temperature varied from 0.03. °C at Ganganagar to 0.05. °C at Jhalawar, respectively. The spatial variations of the trends in mean (monsoon season, non-monsoon season and annual) and extreme annual daily rainfall and temperature were also determined using the inverse-distance-weighted (IDW) interpolation technique. IDW results are helpful to identify trends and variability in mean and extreme rainfall and temperature in space and time for the study locations where the data is not available and the quality of data is not good. These spatial maps of temperature and rainfall can help local stakeholders and water managers to understand the risks and vulnerabilities related to climate change in terms of mean and extreme events in the region. © 2013 Elsevier B.V.
Citation: Atmospheric Research (2014), 138(): 73-90
URI: https://doi.org/10.1016/j.atmosres.2013.10.024
http://repository.iitr.ac.in/handle/123456789/15156
Issue Date: 2014
Keywords: Extreme events
Interpolation
Mann-Kendall test
Rainfall
Temperature
ISSN: 1698095
Author Scopus IDs: 55921235700
14060295600
14060194700
23569157800
Author Affiliations: Pingale, S.M., Department of Water Resource Development and Management, Indian Institute of Technology Roorkee, Roorkee 247 667 UK, India
Khare, D., Department of Water Resource Development and Management, Indian Institute of Technology Roorkee, Roorkee 247 667 UK, India
Jat, M.K., Department of Civil Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India
Adamowski, J., Department of Bioresource Engineering, McGill University, Quebec, Canada
Funding Details: We acknowledge the Indian Meteorological Department (IMD) in Pune for providing useful meteorological gridded datasets for this research work. The financial assistance provided by the Ministry of Human Resource Development, Government of India in the form
Corresponding Author: Pingale, S.M.; Department of Water Resources and Irrigation Engineering, Arba Minch UniversityEthiopia; email: pingalesm@gmail.com
Appears in Collections:Journal Publications [WR]

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