Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Trend analysis of climatic variables in an arid and semi-arid region of the Ajmer District, Rajasthan, India
by
Adamowski, Jan
, Pingale, Santosh M.
, Khare, Deepak
, Jat, Mahesh K.
in
Arid zones
/ Climate change
/ Climatic conditions
/ climatic factors
/ Cloud cover
/ Evapotranspiration
/ India
/ Mann–Kendall test
/ modified Mann–Kendall test
/ monsoon season
/ Monsoons
/ Performance assessment
/ Pettitt–Mann–Whitney test
/ planning
/ rain
/ Rajasthan
/ Semiarid lands
/ semiarid zones
/ Sen’s slope
/ statistical analysis
/ Surface temperature
/ trends
/ water management
/ Water resources management
2016
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Trend analysis of climatic variables in an arid and semi-arid region of the Ajmer District, Rajasthan, India
by
Adamowski, Jan
, Pingale, Santosh M.
, Khare, Deepak
, Jat, Mahesh K.
in
Arid zones
/ Climate change
/ Climatic conditions
/ climatic factors
/ Cloud cover
/ Evapotranspiration
/ India
/ Mann–Kendall test
/ modified Mann–Kendall test
/ monsoon season
/ Monsoons
/ Performance assessment
/ Pettitt–Mann–Whitney test
/ planning
/ rain
/ Rajasthan
/ Semiarid lands
/ semiarid zones
/ Sen’s slope
/ statistical analysis
/ Surface temperature
/ trends
/ water management
/ Water resources management
2016
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Trend analysis of climatic variables in an arid and semi-arid region of the Ajmer District, Rajasthan, India
by
Adamowski, Jan
, Pingale, Santosh M.
, Khare, Deepak
, Jat, Mahesh K.
in
Arid zones
/ Climate change
/ Climatic conditions
/ climatic factors
/ Cloud cover
/ Evapotranspiration
/ India
/ Mann–Kendall test
/ modified Mann–Kendall test
/ monsoon season
/ Monsoons
/ Performance assessment
/ Pettitt–Mann–Whitney test
/ planning
/ rain
/ Rajasthan
/ Semiarid lands
/ semiarid zones
/ Sen’s slope
/ statistical analysis
/ Surface temperature
/ trends
/ water management
/ Water resources management
2016
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Trend analysis of climatic variables in an arid and semi-arid region of the Ajmer District, Rajasthan, India
Journal Article
Trend analysis of climatic variables in an arid and semi-arid region of the Ajmer District, Rajasthan, India
2016
Request Book From Autostore
and Choose the Collection Method
Overview
In the present study, trends and variations in climatic variables (i.e. rainfall, wet day frequency, surface temperature, diurnal temperature, cloud cover, and reference and potential evapotranspiration) were analyzed on seasonal (monsoon and non-monsoon) and annual time scales for the Ajmer District of Rajasthan, India. This was done using non-parametric statistical techniques, i.e. the Mann–Kendall (MK) and Modified Mann–Kendall (MMK) tests, over a period of 100 years. The MK test with prewhitening (MK–PW) of climatic series was also applied to climatic variables and the results were compared to those obtained through the MK and MMK tests in order to assess the performance of trend detection methods. The Pettitt–Mann–Whitney (PMW) test was applied to detect the temporal shift in climatic series. The trend analysis revealed that annual and seasonal rainfall did not show any statistically significant trend at a 10% significant level. A noticeable trend increase was found in wet day frequency, surface temperature and reference evapotranspiration (
) during the non-monsoon season from the three non-parametric statistical tests at a 10% significance level. A statistically significant decrease in maximum temperature was found during the non-monsoon season by the MK–PW test alone. This analysis of several climatic variables at the district scale is helpful for the planning and management of water resources and the development of adaptation strategies in adverse climatic conditions.
This website uses cookies to ensure you get the best experience on our website.