A review on the applications of wavelet transform in hydrology time series analysis
YF Sang - Atmospheric research, 2013 - Elsevier
In this paper, the wavelet transform methods were briefly introduced, and present
researches and applications of them in hydrology were summarized and reviewed from six …
researches and applications of them in hydrology were summarized and reviewed from six …
Climate time series analysis
M Mudelsee - Atmospheric and, 2010 - Springer
This is the second edition of Climate Time Series Analysis which was first published in 2010.
In this digital age, a second edition means not that the first edition of a book has been sold …
In this digital age, a second edition means not that the first edition of a book has been sold …
Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models
Accurate prediction of groundwater level (GWL) fluctuations can play an important role in
water resources management. The aims of the research are to evaluate the performance of …
water resources management. The aims of the research are to evaluate the performance of …
Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008)
This paper aims to detect trends in mean flow and total precipitation data over southern parts
of Quebec and Ontario, Canada. The main purpose of the trend assessment is to find out …
of Quebec and Ontario, Canada. The main purpose of the trend assessment is to find out …
A multiscale and multivariate analysis of precipitation and streamflow variability in relation to ENSO, NAO and PDO
A number of past studies have investigated the influence of various teleconnections–such as
El Niño-Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO) and the Pacific …
El Niño-Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO) and the Pacific …
Comparison of the MK test and EMD method for trend identification in hydrological time series
YF Sang, Z Wang, C Liu - Journal of Hydrology, 2014 - Elsevier
Trend identification is an important issue in hydrological time series analysis, but it is also a
difficult task due to the diverse performances of methods. This paper mainly investigated the …
difficult task due to the diverse performances of methods. This paper mainly investigated the …
Extreme events: dynamics, statistics and prediction
We review work on extreme events, their causes and consequences, by a group of
European and American researchers involved in a three-year project on these topics. The …
European and American researchers involved in a three-year project on these topics. The …
[PDF][PDF] Impacts of land use land cover on temperature trends over the continental United States: assessment using the North American Regional Reanalysis
We investigate the sensitivity of surface temperature trends to land use land cover change
(LULC) over the conterminous United States (CONUS) using the observation minus …
(LULC) over the conterminous United States (CONUS) using the observation minus …
Trend detection in surface air temperature in Ontario and Quebec, Canada during 1967–2006 using the discrete wavelet transform
The main purpose of this study is to detect trends in the mean surface air temperature over
the southern parts of Ontario and Quebec, Canada, for the period of 1967–2006. This is …
the southern parts of Ontario and Quebec, Canada, for the period of 1967–2006. This is …
Trend analysis of rainfall in four meteorological subdivisions of southern India using nonparametric methods and discrete wavelet transforms.
In recent times, trend analysis and change point detection in hydroclimatic variables
receiving significant attention due to climate change and its socioeconomic consequences …
receiving significant attention due to climate change and its socioeconomic consequences …