The Use of Large-Scale Climate Indices in Monthly Reservoir Inflow Forecasting and Its Application on Time Series and Artificial Intelligence Models
Climate variability is strongly influencing hydrological processes under complex weather conditions, and it should be considered to forecast reservoir inflow for efficient dam operation strategies. Large-scale climate indices can provide potential information about climate variability, as they usual...
Main Authors: | Taereem Kim, Ju-Young Shin, Hanbeen Kim, Sunghun Kim, Jun-Haeng Heo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-02-01
|
Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/11/2/374 |
Similar Items
-
Modeling and forecast of Brazilian reservoir inflows via dynamic linear models under climate change scenarios
by: Lima, Luana Medeiros Marangon
Published: (2012) -
Monthly Reservoir Inflow Forecasting for Dry Period Using Teleconnection Indices: A Statistical Ensemble Approach
by: Donghee Lee, et al.
Published: (2020-05-01) -
Identification of Hydrological Models for Enhanced Ensemble Reservoir Inflow Forecasting in a Large Complex Prairie Watershed
by: Frezer Seid Awol, et al.
Published: (2019-10-01) -
INTRODUCING A CAUSAL PAR( p ) MODEL TO EVALUATE THE INFLUENCE OF CLIMATE VARIABLES IN RESERVOIR INFLOWS: A BRAZILIAN CASE
by: Paula Medina Maçaira, et al. -
Verification of inflow into hydropower reservoirs using ensemble forecasts of the TIGGE database for large scale basins in Brazil
by: Fernando Mainardi Fan, et al.
Published: (2015-09-01)