Related references
Note: Only part of the references are listed.Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management
Wen-jing Niu et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Moving dynamic principal component analysis for non-stationary multivariate time series
Fayed Alshammri et al.
COMPUTATIONAL STATISTICS (2021)
How can socio-hydrology contribute to natural disaster risk reduction?
Franciele Maria Vanelli et al.
HYDROLOGICAL SCIENCES JOURNAL (2021)
Technical note: Hydrology modelling R packages - a unified analysis of models and practicalities from a user perspective
Paul C. Astagneau et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2021)
A Method for Predicting Long-Term Municipal Water Demands Under Climate Change
Salah L. Zubaidi et al.
WATER RESOURCES MANAGEMENT (2020)
Sub seasonal streamflow forecast assessment at large-scale basins
Erik Schmitt Quedi et al.
JOURNAL OF HYDROLOGY (2020)
Transboundary waters, conflicts and international cooperation-examples of the La Plata basin
Isabela Battistello Espindola et al.
WATER INTERNATIONAL (2020)
Forecasting Multiple Time Series With One-Sided Dynamic Principal Components
Daniel Pena et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2019)
Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting
Xuan-Hien Le et al.
WATER (2019)
Streamflow Hydrology Estimate Using Machine Learning (SHEM)
T. R. Petty et al.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION (2018)
IPBES-6: the best plenary yet?
Peter Bridgewater et al.
BIODIVERSITY AND CONSERVATION (2018)
Assessing the Impacts of Climate Change on River Discharge Dynamics in Oueme River Basin (Benin, West Africa)
Eliezer Iboukoun Biao
HYDROLOGY (2017)
Artificial intelligence based models for stream-flow forecasting: 2000-2015
Zaher Mundher Yaseen et al.
JOURNAL OF HYDROLOGY (2015)
Improving knowledge exchange among scientists and decisionmakers to facilitate the adaptive governance of marine resources: A review of knowledge and research needs
C. Cvitanovic et al.
OCEAN & COASTAL MANAGEMENT (2015)
VAR, SVAR and SVEC Models: Implementation WithinRPackagevars
Bernhard Pfaff
Journal of Statistical Software (2015)
Automatic time series forecasting: The forecast package for R
Rob J. Hyndman et al.
JOURNAL OF STATISTICAL SOFTWARE (2008)
Modeling multivariable hydrological series: Principal component analysis or independent component analysis?
Seth Westra et al.
WATER RESOURCES RESEARCH (2007)
Another look at measures of forecast accuracy
Rob J. Hyndman et al.
INTERNATIONAL JOURNAL OF FORECASTING (2006)
Multivariate nonlinear prediction of river flows
A Porporato et al.
JOURNAL OF HYDROLOGY (2001)