scholarly journals Spatio-temporal precipitation and temperature trend analysis of the Seyhan-Ceyhan River Basins, Turkey

2019 ◽  
Vol 26 (3) ◽  
pp. 369-384 ◽  
Author(s):  
Veysel Gumus
Keyword(s):  
Trend Analysis ◽  
River Basins ◽  
Temperature Trend ◽  
Spatio Temporal ◽  
Precipitation And Temperature

Spatio-temporal long-term (1950–2009) temperature trend analysis in North Carolina, United States

2014 ◽  
Vol 120 (1-2) ◽  
pp. 159-171 ◽  
Author(s):  
Mohammad Sayemuzzaman ◽  
Manoj K. Jha ◽  
Ademe Mekonnen
Keyword(s):  
United States ◽  
North Carolina ◽  
Trend Analysis ◽  
Temperature Trend ◽  
Spatio Temporal

scholarly journals Spatio-temporal variations of land surface temperature and precipitation due to climate change in the Jhelum river basin, India

MAUSAM ◽  
2021 ◽  
Vol 71 (4) ◽  
pp. 661-674
Author(s):  
HIMAYOUN DAR ◽  
ROSHNI THENDIYATH ◽  
MOHSIN FAROOQ
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
21St Century ◽  
Temporal Variations ◽  
Average Increase ◽  
Temperature And Precipitation ◽  
Rcp 8.5 ◽  
The Mean ◽  
Spatio Temporal ◽  
Precipitation And Temperature

The present study investigated the spatio-temporal variations of precipitation and temperature for the projected period (2011-2100) in the Jhelum basin, India. The precipitation and temperature variables are projected under RCP 8.5 scenario using statistical down scaling techniques such as Artificial Neural Network (ANN) and Wavelet Artificial Neural Network (WANN) models. Firstly, the screened predictors were downscaled to predictand using ANN and WANN models for all the study stations. On the basis of the performance criteria, the WANN model is selected as an efficient model for downscaling of precipitation and temperature. The future screened predictor data pertaining to RCP 8.5 of CanESM2 model were downscaled to monthly temperature and precipitation for future periods (2011-2100) using WANN models. The investigation of the future projections revealed an average increase of 17-25% in the mean annual precipitation and 20-25% average increase in the monthly mean precipitation for all the selected stations towards the end of 21st century. The monthly mean temperature also showed an increase of 2-3 °C for all the study stations towards the end of 21st century. The mean seasonal temperature of the projected period is found to be increasing for all the four seasons in most parts of the basin.

Spatio-temporal Analysis of Precipitation and Temperature: A Case Study Over the Beijing–Tianjin–Hebei Region, China

2020 ◽  
Vol 177 (7) ◽  
pp. 3527-3541 ◽  
Author(s):  
Baohui Men ◽  
Zhijian Wu ◽  
Huanlong Liu ◽  
Wei Tian ◽  
Yong Zhao
Keyword(s):  
Temporal Analysis ◽  
Spatio Temporal ◽  
Precipitation And Temperature
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