Assessment of spatio-temporal variability of rainfall and mean air temperature over Ardabil province, Iran

Abstract Precipitation and temperature are the most important climate parameters, which vary both spatially and temporally. In the present study, rainfall data of 11 synoptic stations and 40 rain gauge stations and mean air temperature data of 11 synoptic stations of Ardabil province for the period...

Full description

Bibliographic Details
Main Authors: Mohammad Ali Ghorbani, Saba Mahmoud Alilou, Sahar Javidan, Sujay Raghavendra Naganna
Format: Article
Language:English
Published: Springer 2021-07-01
Series:SN Applied Sciences
Subjects:
Online Access:https://doi.org/10.1007/s42452-021-04698-y
_version_ 1818738166320857088
author Mohammad Ali Ghorbani
Saba Mahmoud Alilou
Sahar Javidan
Sujay Raghavendra Naganna
author_facet Mohammad Ali Ghorbani
Saba Mahmoud Alilou
Sahar Javidan
Sujay Raghavendra Naganna
author_sort Mohammad Ali Ghorbani
collection DOAJ
description Abstract Precipitation and temperature are the most important climate parameters, which vary both spatially and temporally. In the present study, rainfall data of 11 synoptic stations and 40 rain gauge stations and mean air temperature data of 11 synoptic stations of Ardabil province for the period 2009–2019 collected from the Meteorological Organization of Ardabil province, were considered for investigation. The descriptive statistics of rainfall and temperature such as mean, median, coefficient of variation, skewness and kurtosis were analyzed for monthly scale data. A higher coefficient of variation signified a greater degree of variation in precipitation and temperature data across different months. To evaluate the temporal stability over several months, Pearson linear correlation analysis at a significance level of 5% was performed for each variable. Kriging geostatistical estimator and GIS interface (ArcMap 10.4.1) were used for spatial interpolation with the aid of root mean square and SRMS standards. The results revealed that the spatial variation of temperature was greater than that of precipitation.
first_indexed 2024-12-18T01:04:37Z
format Article
id doaj.art-f40b68fd39724163862a2aa584acab2f
institution Directory Open Access Journal
issn 2523-3963
2523-3971
language English
last_indexed 2024-12-18T01:04:37Z
publishDate 2021-07-01
publisher Springer
record_format Article
series SN Applied Sciences
spelling doaj.art-f40b68fd39724163862a2aa584acab2f2022-12-21T21:26:17ZengSpringerSN Applied Sciences2523-39632523-39712021-07-013811010.1007/s42452-021-04698-yAssessment of spatio-temporal variability of rainfall and mean air temperature over Ardabil province, IranMohammad Ali Ghorbani0Saba Mahmoud Alilou1Sahar Javidan2Sujay Raghavendra Naganna3Department of Water Engineering, Faculty of Agriculture, University of TabrizDepartment of Water Engineering, Faculty of Agriculture, University of TabrizDepartment of Water Engineering, Faculty of Agriculture, University of TabrizDepartment of Civil Engineering, Siddaganga Institute of TechnologyAbstract Precipitation and temperature are the most important climate parameters, which vary both spatially and temporally. In the present study, rainfall data of 11 synoptic stations and 40 rain gauge stations and mean air temperature data of 11 synoptic stations of Ardabil province for the period 2009–2019 collected from the Meteorological Organization of Ardabil province, were considered for investigation. The descriptive statistics of rainfall and temperature such as mean, median, coefficient of variation, skewness and kurtosis were analyzed for monthly scale data. A higher coefficient of variation signified a greater degree of variation in precipitation and temperature data across different months. To evaluate the temporal stability over several months, Pearson linear correlation analysis at a significance level of 5% was performed for each variable. Kriging geostatistical estimator and GIS interface (ArcMap 10.4.1) were used for spatial interpolation with the aid of root mean square and SRMS standards. The results revealed that the spatial variation of temperature was greater than that of precipitation.https://doi.org/10.1007/s42452-021-04698-ySpatiotemporal analysisKrigingSpatial dependence indexCoefficient of variation
spellingShingle Mohammad Ali Ghorbani
Saba Mahmoud Alilou
Sahar Javidan
Sujay Raghavendra Naganna
Assessment of spatio-temporal variability of rainfall and mean air temperature over Ardabil province, Iran
SN Applied Sciences
Spatiotemporal analysis
Kriging
Spatial dependence index
Coefficient of variation
title Assessment of spatio-temporal variability of rainfall and mean air temperature over Ardabil province, Iran
title_full Assessment of spatio-temporal variability of rainfall and mean air temperature over Ardabil province, Iran
title_fullStr Assessment of spatio-temporal variability of rainfall and mean air temperature over Ardabil province, Iran
title_full_unstemmed Assessment of spatio-temporal variability of rainfall and mean air temperature over Ardabil province, Iran
title_short Assessment of spatio-temporal variability of rainfall and mean air temperature over Ardabil province, Iran
title_sort assessment of spatio temporal variability of rainfall and mean air temperature over ardabil province iran
topic Spatiotemporal analysis
Kriging
Spatial dependence index
Coefficient of variation
url https://doi.org/10.1007/s42452-021-04698-y
work_keys_str_mv AT mohammadalighorbani assessmentofspatiotemporalvariabilityofrainfallandmeanairtemperatureoverardabilprovinceiran
AT sabamahmoudalilou assessmentofspatiotemporalvariabilityofrainfallandmeanairtemperatureoverardabilprovinceiran
AT saharjavidan assessmentofspatiotemporalvariabilityofrainfallandmeanairtemperatureoverardabilprovinceiran
AT sujayraghavendranaganna assessmentofspatiotemporalvariabilityofrainfallandmeanairtemperatureoverardabilprovinceiran