Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches
This study analyzes and forecasts the long-term Spatio-temporal changes in rainfall using
the data from 1901 to 2015 across India at meteorological divisional level. The Pettitt test …
the data from 1901 to 2015 across India at meteorological divisional level. The Pettitt test …
[PDF][PDF] Innovative trend analysis of annual and seasonal rainfall and extreme values in Shaanxi, China, since the 1950s
H Wu, H Qian - International Journal of Climatology, 2017 - researchgate.net
Rainfall is a primary component of the water cycle, and its variability is associated with
drought and flood events. This study investigates the trends in annual and seasonal rainfall …
drought and flood events. This study investigates the trends in annual and seasonal rainfall …
Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study
To avoid the nuisance of frequent flooding during rainy season, designing an efficient
stormwater drainage system has become the need of the hour for present world engineers …
stormwater drainage system has become the need of the hour for present world engineers …
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
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 …
extreme annual daily rainfall and temperature at the spatial and temporal scales was carried …
[HTML][HTML] Spatial-temporal rainfall trend and variability assessment in the Upper Wabe Shebelle River Basin, Ethiopia: Application of innovative trend analysis method
AE Harka, NB Jilo, F Behulu - Journal of Hydrology: Regional Studies, 2021 - Elsevier
Highlights•The Spatio-temporal trend was investigated based on seasonal and annual
rainfall data.•Temporal trends were identified using ITA and Mann-Kendall methods.•Rainfall …
rainfall data.•Temporal trends were identified using ITA and Mann-Kendall methods.•Rainfall …
Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting
Accurate forecasting of rainfall is extremely important due to its complex nature and
enormous impacts on hydrology, floods, droughts, agriculture, and monitoring of pollutant …
enormous impacts on hydrology, floods, droughts, agriculture, and monitoring of pollutant …
Analysis of seasonal and annual rainfall trends in the northern region of Bangladesh
The aim of the present study was to investigate 50 years (1964–2013) of seasonal and
annual rainfall trends and their fluctuation over time in northern Bangladesh. After testing the …
annual rainfall trends and their fluctuation over time in northern Bangladesh. After testing the …
Innovative trend analysis of spatio-temporal variations of rainfall in India during 1901–2019
Spatio-temporal trends of rainfall during the last 119 years (1901 to 2019) in different
meteorological sub-divisions of India were analyzed using gridded rainfall data. Innovative …
meteorological sub-divisions of India were analyzed using gridded rainfall data. Innovative …
Innovative trend analysis of annual and seasonal air temperature and rainfall in the Yangtze River Basin, China during 1960–2015
L Cui, L Wang, Z Lai, Q Tian, W Liu, J Li - Journal of Atmospheric and Solar …, 2017 - Elsevier
The variation characteristics of air temperature and precipitation in the Yangtze River Basin
(YRB), China during 1960–2015 were analysed using a linear regression (LR) analysis, a …
(YRB), China during 1960–2015 were analysed using a linear regression (LR) analysis, a …
Spatio-temporal trends of rainfall across Indian river basins
Daily gridded high-resolution rainfall data of India Meteorological Department at 0.25°
spatial resolution (1901–2015) was analyzed to detect the trend in seasonal, annual, and …
spatial resolution (1901–2015) was analyzed to detect the trend in seasonal, annual, and …