scholarly journals Annual trend analysis of climate parameters of temperature and precipitation in decuple agroecology regions of Iran

2019 ◽  
Vol 17 (4) ◽  
pp. 75-90
Author(s):  
نادر بارانی ◽  
آیت اله کرمی
2018 ◽  
Vol 11 (2) ◽  
pp. 420-433 ◽  
Author(s):  
Adem Yavuz Sönmez ◽  
Semih Kale

Abstract The main purpose of this study was to estimate possible climate change effects on the annual streamflow of Filyos River (Turkey). Data for annual streamflow and climatic parameters were obtained from streamflow gauging stations on the river and Bartın, Karabük, Zonguldak meteorological observation stations. Time series analysis was performed on 46 years of annual streamflow data and 57 years of annual mean climatic data from three monitoring stations to understand the trends. Pettitt change-point analysis was applied to determine the change time and trend analysis was performed to forecast trends. To reveal the relationship between climatic parameters and streamflow, correlation tests, namely, Spearman's rho and Kendall's tau were applied. The results of Pettitt change-point analysis pointed to 2000 as the change year for streamflow. Change years for temperature and precipitation were detected as 1997 and 2000, respectively. Trend analysis results indicated decreasing trends in the streamflow and precipitation, and increasing trend in temperature. These changes were found statistically significant for streamflow (p < 0.05) and temperature (p < 0.01). Also, a statistically significant (p < 0.05) correlation was found between streamflow and precipitation. In conclusion, decreasing precipitation and increasing temperature as a result of climate change initiated a decrease in the river streamflow.


2013 ◽  
Vol 116 (1-2) ◽  
pp. 191-202 ◽  
Author(s):  
Pablo de Amorim Borges ◽  
Johannes Franke ◽  
Fabrício Daniel do Santos Silva ◽  
Holger Weiss ◽  
Christian Bernhofer

2016 ◽  
Vol 37 (2) ◽  
pp. 672-687 ◽  
Author(s):  
Jiyang Tian ◽  
Jia Liu ◽  
Jianhua Wang ◽  
Chuanzhe Li ◽  
Hanjiang Nie ◽  
...  

Author(s):  
Djan'na H. Koubodana ◽  
Moustapha Tall ◽  
Ernest Amoussou ◽  
Muhammad Mumtaz ◽  
Julien Adounkpe ◽  
...  

This paper performs non-parametric Mann Kendall (MK) trend analysis of historical hydroclimatic data (1961-2016), an ensemble climate model validation and a computation of 16 Expert Team on Climate Change Detection and Indices (ETCCDI) temperature and rainfall extremes indices. The climate indices are evaluated using MK test and annual trend analysis for two Representative Concentration Pathways (RCP4.5 & RCP8.5) future scenarios from 2020 to 2045 over Mono River Basin (MRB) in Togo. The annual and seasonal trend analyses are assessed on historical potential evapotranspiration, mean temperature, rainfall and discharge data. Results show positive and negative trends of hydroclimatic data over MRB from1961 to 2016. Mean temperatures increase significantly in most of the stations while a negative non-significant trend is noticed for rainfall. Meanwhile, the discharge presents a significant seasonal and annual trend for three gauge stations (Corrokope, Nangbéto and Athiémé). Validation of the ensemble climate models reveals that the model under-estimates observations at Sokode, Atkakpamé and Tabligbo stations, however linear regression and spatial correlation coefficients are higher than 0.6. Moreover, the percentage of bias between climate model and observations are less than 15% at most of the stations. Finally, the computation of extreme climatic indices under RCP4.5 and RCP8.5 scenarios shows a significant annual trend of some extreme climatic indices of rainfall and temperature at selected stations between 2020 and 2045 in the MRB. Therefore, relevant governmental politics are needed to elaborate strategies and measures to cope with projected climate changes impacts in the country.


2000 ◽  
Vol 67 (1-2) ◽  
pp. 33-44 ◽  
Author(s):  
J. M. Stafford ◽  
G. Wendler ◽  
J. Curtis

2008 ◽  
Vol 9 (5) ◽  
pp. 1020-1034 ◽  
Author(s):  
W. Paul Miller ◽  
Thomas C. Piechota

Abstract Recent research has suggested that changes in temperature and precipitation events due to climate change have had a significant impact on the availability and timing of streamflow. In this study, monthly temperature and precipitation data collected over 29 climate divisions covering the entire Colorado River basin and monthly natural flow data from 29 U.S. Geological Survey (USGS) gauge locations along the Colorado River are investigated for trend or step changes using parametric and nonparametric statistical tests. Temperature increases are persistent (at least 10 climate divisions over 6 months in trend analysis) throughout the year over the Colorado River basin, whereas precipitation only notably increased over 17 climate divisions (during trend analysis) during February and remained relatively unchanged otherwise. These results correspond with changes in naturalized streamflow throughout the year. Streamflow increases are recorded between November and February but exhibit a decreasing trend over the traditional peak runoff season (April through July). Under trend analysis, 18 flow stations exhibited increasing trends in January and 19 flow stations exhibited decreasing trends in June. It is likely that increasing temperature trends have affected the character of precipitation in the Colorado River basin, causing a change in the timing of runoff events.


2015 ◽  
Vol 7 (5) ◽  
pp. 798
Author(s):  
Roberta Everllyn Pereira Ribeiro ◽  
Pâmela Ribeiro Ávila ◽  
José Ivaldo Brito ◽  
Elder Guedes Santos ◽  
Leandro Fontes Sousa

RESUMO Este trabalho tem por objetivo fornecer um breve conhecimento das análises climatológicas da temperatura e precipitação do município de Tucuruí-PA. Abordando pontos como a tendência anual da temperatura e precipitação, e a correlação entre as oscilações interanual e interdecadal dos oceanos atlântico e pacifico sobre a precipitação sazonal de Tucuruí a partir de uma serie de mais de 40 anos de dados. Os resultados mostraram que as menores temperaturas médias do ar ocorrem em fevereiro, as temperaturas médias do ar mais elevadas ocorreram no mês de outubro, a temperatura máxima do ar aumenta continuamente de fevereiro a outubro, decrescendo em novembro. Quando se fala na análise da tendência observou-se que apenas as series de temperaturas médias e mínimas apresentaram uma tendência positiva significativa. Há correlação com significância estatística apenas entre a precipitação das estações outono, inverno e primavera com o índice ODP. Observou-se uma dependência oscilatória entre as chuvas de verão e a OMA; uma dependência quadrática das chuvas de verão e ODP; correlação negativa entre as chuvas de outono e o IME; e correlação negativa entre as chuvas de outono e de inverno com a ODP.      ABSTRACT  This work aims to provide a brief knowledge of the climatological analyzes of temperature and precipitation in the municipality of Tucuruí-PA. Addressing points such as the annual trend of temperature and precipitation, and the correlation between the interannual and interdecadal oscillations of the Atlantic and Pacific oceans on seasonal rainfall Tucuruí from a series of more than 40 years of data. The results showed that the lowest average temperatures occur in February, the average temperatures of the air were higher in October, the maximum air temperature increases continuously from February to October, decreasing in November. When referring to the trend analysis revealed that only the series of medium and minimum temperatures showed a significant positive trend. There are only statistically significant correlation between rainfall seasons of autumn, winter and spring with the ODP. Observed oscillatory dependence between summer rainfall and OMA; a quadratic dependence of summer rains and ODP; negative correlation between the autumn rains and the IME; and negative correlation between the rains of autumn and winter with the ODP. Keywords: temperature, precipitation, interannual oscillations    


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