Forecasting streamflow in Colorado by deep learning and NASA satellite remote sensing

No abstract is available for this paper.

• Publication year

  2026

• Venue

  Journal of Applied Water Engineering and Research

• Publication date

  2026-01-06

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1080/23249676.2025.2606420
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Multidecadal drought impacts on the Lower Colorado Basin with implications for future management

  2025cited by this paper
• Comparing a long short-term memory (LSTM) neural network with a physically-based hydrological model for streamflow forecasting over a Canadian catchment

  2023cited by this paper
• Enhanced machine learning model via twin support vector regression for streamflow time series forecasting of hydropower reservoir

  2023cited by this paper
• Short-term streamflow modeling using data-intelligence evolutionary machine learning models

  2023cited by this paper
• Deep learning model on rates of change for multi-step ahead streamflow forecasting

  2023cited by this paper
• Long-lead daily streamflow forecasting using Long Short-Term Memory model with different predictors

  2023cited by this paper
• Monthly River Discharge Forecasting Using Hybrid Models Based on Extreme Gradient Boosting Coupled with Wavelet Theory and Lévy–Jaya Optimization Algorithm

  2023cited by this paper
• The Colorado River water crisis: Its origin and the future

  2023cited by this paper
• Near-real-time forecasting of reservoir inflows using explainable machine learning and short-term weather forecasts

  2023cited by this paper
• Daily suspended sediment concentration forecast in the upper reach of Yellow River using a comprehensive integrated deep learning model

  2023cited by this paper
• A novel short-term household load forecasting method combined BiLSTM with trend feature extraction

  2023cited by this paper
• A Hybrid CNN-LSTM Approach for Monthly Reservoir Inflow Forecasting

  2023cited by this paper
• River discharge prediction using wavelet-based artificial neural network and long short-term memory models: a case study of Teesta River Basin, India

  2023cited by this paper
• Evaluating Methods of Streamflow Timing to Approximate Snowmelt Contribution in High-Elevation Mountain Watersheds

  2023cited by this paper
• Climate change impacts on native cutthroat trout habitat in Colorado streams

  2023cited by this paper
• A Decomposition-based Multi-model and Multi-parameter Ensemble Forecast Framework for Monthly Streamflow Forecasting

  2023cited by this paper
• Parameter estimation for models of major rainfall induced floods in ungaged mountain basins of Colorado

  2023cited by this paper
• Performance of the Global Forecast System's medium-range precipitation forecasts in the Niger river basin using multiple satellite-based products

  2022cited by this paper
• Review of GPM IMERG performance: A global perspective

  2022cited by this paper
• Quantifying the impact of climate extremes on salt mobilization and loading in non-developed, high-desert landscapes using SWAT.

  2022cited by this paper
• Multi-Step-Ahead Monthly Streamflow Forecasting Using Convolutional Neural Networks

  2022cited by this paper
• Multi-Variables-Driven Model Based on Random Forest and Gaussian Process Regression for Monthly Streamflow Forecasting

  2022cited by this paper
• Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms

  2022cited by this paper
• Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting

  2021cited by this paper
• A study on water quality prediction by a hybrid CNN-LSTM model with attention mechanism

  2021cited by this paper
• Prediction of Yangtze River streamflow based on deep learning neural network with El Niño–Southern Oscillation

  2021cited by this paper
• Snowfall and snowpack in the Western U.S. as captured by convection permitting climate simulations: current climate and pseudo global warming future climate

  2021cited by this paper
• Binary Grey Wolf Optimization-Regularized Extreme Learning Machine Wrapper Coupled with the Boruta Algorithm for Monthly Streamflow Forecasting

  2021cited by this paper
• Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting

  2021cited by this paper
• Institutions for reoperating reservoirs in semi-arid regions facing climate change and competing societal water demands: insights from Colorado

  2021cited by this paper
• Multivariate Streamflow Simulation Using Hybrid Deep Learning Models

  2021cited by this paper
• Monthly Streamflow Forecasting Using Convolutional Neural Network

  2021cited by this paper
• A hybrid deep learning algorithm and its application to streamflow prediction

  2021cited by this paper
• Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks

  2021cited by this paper
• Using Convolutional Neural Networks for Streamflow Projection in California

  2020cited by this paper
• Streamflow and rainfall forecasting by two long short-term memory-based models

  2020cited by this paper
• An improved long short-term memory network for streamflow forecasting in the upper Yangtze River

  2020cited by this paper
• Colorado River flow dwindles as warming-driven loss of reflective snow energizes evaporation

  2020cited by this paper
• Relationships between riparian evapotranspiration and groundwater depth along a semiarid irrigated river valley

  2020cited by this paper
• Evaluating spatiotemporal variation in water chemistry of the upper Colorado River using longitudinal profiling

  2020cited by this paper
• Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm

  2020cited by this paper
• Relating hydroclimatic change to streamflow, baseflow, and hydrologic partitioning in the Upper Rio Grande Basin, 1980 to 2015

  2020cited by this paper
• A CNN–LSTM model for gold price time-series forecasting

  2020cited by this paper
• Interpretable spatio-temporal attention LSTM model for flood forecasting

  2020cited by this paper
• Predicting River Flow Using an AI-Based Sequential Adaptive Neuro-Fuzzy Inference System

  2020cited by this paper
• Monthly Streamflow Forecasting Using ELM-IPSO Based on Phase Space Reconstruction

  2020cited by this paper
• A physical process and machine learning combined hydrological model for daily streamflow simulations of large watersheds with limited observation data

  2020cited by this paper
• Long lead-time daily and monthly streamflow forecasting using machine learning methods

  2020cited by this paper
• Development and Evaluation of the Combined Machine Learning Models for the Prediction of Dam Inflow

  2020cited by this paper
• Predicting flood susceptibility using long short-term memory (LSTM) neural network model

  2020cited by this paper
• Determination of oil well placement using convolutional neural network coupled with robust optimization under geological uncertainty

  2020cited by this paper
• A probabilistic sequence classification approach for early fault prediction in distribution grids using long short-term memory neural networks

  2020cited by this paper
• Long-Term Trend Analysis in Annual and Seasonal Precipitation, Maximum and Minimum Temperatures in the Southwest United States

  2020cited by this paper
• A wavelet-based approach to streamflow event identification and modeled timing error evaluation

  2020cited by this paper
• Construction of a drought monitoring model using deep learning based on multi-source remote sensing data

  2019cited by this paper
• Runoff simulation of two typical urban green land types with the Stormwater Management Model (SWMM): sensitivity analysis and calibration of runoff parameters

  2019cited by this paper
• Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting

  2019cited by this paper
• A hybrid support vector regression framework for streamflow forecast

  2019cited by this paper
• Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets

  2019cited by this paper
• Threats to a Colorado river provisioning basin under coupled future climate and societal scenarios

  2019cited by this paper
• Integration of a Parsimonious Hydrological Model with Recurrent Neural Networks for Improved Streamflow Forecasting

  2018cited by this paper
• Dongting Lake Water Level Forecast and Its Relationship with the Three Gorges Dam Based on a Long Short-Term Memory Network

  2018cited by this paper
• Neural network modeling of hydrological systems: A review of implementation techniques

  2018cited by this paper
• Rainfall-Runoff Simulation Using Climate Change Based Precipitation Prediction in HEC-HMS Model for Irwin Creek, Charlotte, North Carolina

  2018cited by this paper
• Simulation of the hydrological and environmental effects of a sponge city based on MIKE FLOOD

  2018cited by this paper
• Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework

  2018cited by this paper
• Identifying the Sensitivity of Ensemble Streamflow Prediction by Artificial Intelligence

  2018cited by this paper
• A computer vision-based approach to fusing spatiotemporal data for hydrological modeling

  2018cited by this paper
• Satellite observations and modeling to understand the Lower Mekong River basin streamflow variability.

  2018cited by this paper
• Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks

  2018cited by this paper
• Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

  2017cited by this paper
• Hydro-climatological changes in the Colorado River Basin over a century

  2017cited by this paper
• Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

  2017cited by this paper
• Assessment of GPM and TRMM Multi-Satellite Precipitation Products in Streamflow Simulations in a Data-Sparse Mountainous Watershed in Myanmar

  2017cited by this paper
• The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo

  2016cited by this paper
• Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

  2016cited by this paper
• Mapping Atmospheric Moisture Climatologies across the Conterminous United States

  2015cited by this paper
• Evaluating a coupled discrete wavelet transform and support vector regression for daily and monthly streamflow forecasting

  2014cited by this paper
• A comparative study of artificial neural networks, Bayesian neural networks and adaptive neuro-fuzzy inference system in groundwater level prediction

  2014cited by this paper
• Support vector machine applications in the field of hydrology: A review

  2014cited by this paper
• Statistical downscaling of precipitation using quantile regression

  2013cited by this paper
• Climate Change Impacts on Streamflow and Subbasin-Scale Hydrology in the Upper Colorado River Basin

  2013cited by this paper
• A wavelet-support vector machine conjunction model for monthly streamflow forecasting

  2011cited by this paper
• ASCE Standardized Penman-Monteith Alfalfa Reference ET and Crop ET Estimates for Arkansas River Compact Compliance in Colorado

  2009cited by this paper
• Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations

  2007cited by this paper
• Monthly dam inflow forecasts using weather forecasting information and neuro-fuzzy technique

  2007cited by this paper
• Using support vector machines for long-term discharge prediction

  2006cited by this paper
• Net global warming potential and greenhouse gas intensity in irrigated cropping systems in northeastern Colorado.

  2006cited by this paper
• Performance of two stochastic approaches for forecasting water quality and streamflow data from Yesilrmak River, Turkey

  2005cited by this paper
• In situ photosynthetic freezing tolerance for plants exposed to a global warming manipulation in the Rocky Mountains, Colorado, USA

  2004cited by this paper

• No citing papers are available for this paper.