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Daniel Palmer
1.13.23
HydroForecast can Improve Hydropower Earnings by 3 – 6%, finds Third Party Study
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Upcoming Webinar: Addressing Climate Change Using a Hybrid Approach to Forecasting
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Spatial Visualizations of Weather Inputs and Remote Sensing Observations
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The Latest with HydroForecast in February
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Working in the Water Utility Space? This Webinar is For You
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Partnering with Sonoma Water to Improve Seasonal Reservoir Management
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Alexandra Nicolopoulos
2022 HydroForecast Wrapped
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Alexandra Nicolopoulos
Two Days on the Colorado River
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The HydroForecast Team
Delivering Water Intelligence to Key Regions with The World Wildlife Fund
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Marshall Moutenot
Not All AI has the Same IQ
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Laura Read & WestWater Research
Understanding the Ebbs and Flows of California's Water Markets
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Laura Read
Developing Tools to Model Impaired Streamflow in Streams Throughout California
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March 30, 2023
Addressing Climate Change Using a Hybrid Approach to Forecasting
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January 17, 2023
Improving Water Utilities' Ability to Predict Future Water Supplies
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November 2, 2022
Improving Seasonal Water Supply Forecasts in California and the West
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research
Case Study
Hurricane Ida Hits Tennessee: How HydroForecast Helps Prepare for Extreme Weather
Paper
Idaho National Lab study finds HydroForecast can improve hydropower earnings by 3-6%
Case Study
HydroForecast Accurately Predicts Rain on Snow Event in California
Paper
Uncertainty Estimation with Deep Learning for Rainfall–Runoff Modeling
Paper
A Note on Leveraging Synergy in Multiple Meteorological Data Sets with Deep Learning for Rainfall–Runoff Modeling
Paper
Data Assimilation and Autoregression for Using Near-Real-Time Streamflow Observations in Long Short-Term Memory Networks
Paper
Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning