A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information
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Title
A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information
Authors
Keywords
-
Journal
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-04-23
DOI
10.1007/s00477-021-02023-y
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Note: Only part of the references are listed.- The Impact of SMOS Soil Moisture Data Assimilation within the Operational Global Flood Awareness System (GloFAS)
- (2020) Calum Baugh et al. Remote Sensing
- Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model
- (2020) Lingling Ni et al. JOURNAL OF HYDROLOGY
- Application of Decision-Support Tools for Seasonal Water Supply Management that Incorporates System Uncertainties and Operational Constraints
- (2020) Hui Wang et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Global Evaluation of Seasonal Precipitation and Temperature Forecasts from NMME
- (2020) Tirthankar Roy et al. JOURNAL OF HYDROMETEOROLOGY
- What is the Predictability Limit of Midlatitude Weather?
- (2019) Fuqing Zhang et al. JOURNAL OF THE ATMOSPHERIC SCIENCES
- Detecting the State of the Climate System via Artificial Intelligence to Improve Seasonal Forecasts and Inform Reservoir Operations
- (2019) Matteo Giuliani et al. WATER RESOURCES RESEARCH
- The Value of Subseasonal Hydrometeorological Forecasts to Hydropower Operations: How Much Does Preprocessing Matter?
- (2019) D. Anghileri et al. WATER RESOURCES RESEARCH
- A deep learning-based multi-model ensemble method for cancer prediction
- (2018) Yawen Xiao et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Improving predictions of hydrological low-flow indices in ungaged basins using machine learning
- (2018) Scott C. Worland et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Revealing Biotic and Abiotic Controls of Harmful Algal Blooms in a Shallow Subtropical Lake through Statistical Machine Learning
- (2018) Natalie G. Nelson et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Enhancing the Predictability of Seasonal Streamflow With a Statistical-Dynamical Approach
- (2018) Louise J. Slater et al. GEOPHYSICAL RESEARCH LETTERS
- Coupled impacts of ENSO AMO and PDO on temperature and precipitation in the Alabama-Coosa-Tallapoosa and Apalachicola-Chattahoochee-Flint river basins
- (2018) Jerome J. Maleski et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Relating ocean-atmospheric climate indices with Australian river streamflow
- (2018) Md Shamim Shams et al. JOURNAL OF HYDROLOGY
- A comparison of large-scale climate signals and the North American Multi-Model Ensemble (NMME) for drought prediction in China
- (2018) Lei Xu et al. JOURNAL OF HYDROLOGY
- Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm
- (2018) Di Zhang et al. JOURNAL OF HYDROLOGY
- Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data-Poor Regions
- (2018) J. Sheffield et al. WATER RESOURCES RESEARCH
- Forecasting the Hydroclimatic Signature of the 2015/16 El Niño Event on the Western United States
- (2017) N. Wanders et al. JOURNAL OF HYDROMETEOROLOGY
- Utilizing Probabilistic Downscaling Methods to Develop Streamflow Forecasts from Climate Forecasts
- (2017) Amirhossein Mazrooei et al. JOURNAL OF HYDROMETEOROLOGY
- Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information
- (2017) Tiantian Yang et al. WATER RESOURCES RESEARCH
- An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland
- (2016) Ravinesh C Deo et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Improved seasonal drought forecasts using reference evapotranspiration anomalies
- (2016) Daniel J. McEvoy et al. GEOPHYSICAL RESEARCH LETTERS
- Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China
- (2016) B. Li et al. HYDROLOGY RESEARCH
- Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq
- (2016) Zaher Mundher Yaseen et al. JOURNAL OF HYDROLOGY
- Forecasting daily streamflow using online sequential extreme learning machines
- (2016) Aranildo R. Lima et al. JOURNAL OF HYDROLOGY
- Quantifying Streamflow Forecast Skill Elasticity to Initial Condition and Climate Prediction Skill
- (2016) Andrew W. Wood et al. JOURNAL OF HYDROMETEOROLOGY
- Probabilistic seasonal streamflow forecasts of the Citarum River, Indonesia, based on general circulation models
- (2016) Netrananda Sahu et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Reliable long-range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model
- (2016) James C. Bennett et al. WATER RESOURCES RESEARCH
- Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments
- (2016) D. Anghileri et al. WATER RESOURCES RESEARCH
- Spatial downscaling of precipitation using adaptable random forests
- (2016) Xiaogang He et al. WATER RESOURCES RESEARCH
- Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China
- (2016) B. Li et al. Hydrology Research
- Seasonal Forecasting of Global Hydrologic Extremes: System Development and Evaluation over GEWEX Basins
- (2015) Xing Yuan et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Pacific Ocean SST and Z500climate variability and western U.S. seasonal streamflow
- (2015) Soumya Sagarika et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Improved Seasonal Prediction of Temperature and Precipitation over Land in a High-Resolution GFDL Climate Model
- (2015) Liwei Jia et al. JOURNAL OF CLIMATE
- Interconnections between oceanic–atmospheric indices and variability in the U.S. streamflow
- (2015) Soumya Sagarika et al. JOURNAL OF HYDROLOGY
- Model averaging methods to merge operational statistical and dynamic seasonal streamflow forecasts in Australia
- (2015) Andrew Schepen et al. WATER RESOURCES RESEARCH
- A multivariate conditional model for streamflow prediction and spatial precipitation refinement
- (2015) Zhiyong Liu et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Seasonal Prediction of Regional Reference Evapotranspiration Based on Climate Forecast System Version 2
- (2014) Di Tian et al. JOURNAL OF HYDROMETEOROLOGY
- The North American Multimodel Ensemble: Phase-1 Seasonal-to-Interannual Prediction; Phase-2 toward Developing Intraseasonal Prediction
- (2013) Ben P. Kirtman et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Global modes of climate variability
- (2013) O. de Viron et al. GEOPHYSICAL RESEARCH LETTERS
- Tree-based iterative input variable selection for hydrological modeling
- (2013) S. Galelli et al. WATER RESOURCES RESEARCH
- Using large-scale climatic patterns for improving long lead time streamflow forecasts for Gunnison and San Juan River Basins
- (2012) Ajay Kalra et al. HYDROLOGICAL PROCESSES
- Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms
- (2012) Halil Ibrahim Erdal et al. JOURNAL OF HYDROLOGY
- Estimating annual precipitation for the Colorado River Basin using oceanic-atmospheric oscillations
- (2012) Ajay Kalra et al. WATER RESOURCES RESEARCH
- Extreme Learning Machine for Regression and Multiclass Classification
- (2011) Guang-Bin Huang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Skill in streamflow forecasts derived from large-scale estimates of soil moisture and snow
- (2010) Randal D. Koster et al. Nature Geoscience
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
- (2009) Hoshin V. Gupta et al. JOURNAL OF HYDROLOGY
- Improving the Prediction of Winter Precipitation and Temperature over the Continental United States: Role of the ENSO State in Developing Multimodel Combinations
- (2009) Naresh Devineni et al. MONTHLY WEATHER REVIEW
- Correcting Errors in Streamflow Forecast Ensemble Mean and Spread
- (2008) Andrew W. Wood et al. JOURNAL OF HYDROMETEOROLOGY
- Evaluating forecasts of extreme events for hydrological applications: an approach for screening unfamiliar performance measures
- (2008) Hannah L. Cloke et al. METEOROLOGICAL APPLICATIONS
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