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Resources
Dive into HydroForecast
Browse the latest resources about the HydroForecast products, Upstream Tech, and the world of water forecasting.
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Check out our latest
Insight
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Why weather forecasts aren’t the (only) important forecast for climate change
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Community
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Insight
Why weather forecasts aren’t the (only) important forecast for climate change
Announcement
NOAA Awards Upstream Tech Small Business Innovation Research Grant
Insight
Celebrating hydropower's role in a 100% renewable grid
Update
The latest with HydroForecast: August 2023
Lesson
How AI can be a useful tool for climate and the sciences: Part I
Announcement
New joint research with WWF and Rhodes University colleagues accepted into Journal of Hydrology
Announcement
Department of Energy awards Upstream Tech Small Business Innovation Research grant
Announcement
The latest with HydroForecast: July 2023
Announcement
Celebrating World Environment Day 2023
Announcement
The latest with HydroForecast: June 2023
Insight
Leveraging remote sensing and forecasting to better understand an unpredictable climate
Insight
Preparing for Europe's drought with the best in forecasting
Announcement
Hackweek round up: Spring 2023
Insight
Integrate state-of-the-art AI into your long-term investment decisions
Announcement
The latest with HydroForecast: May 2023
Insight
A guide for new machine learning and hydrology enthusiasts
Story
A changing climate requires new methods of forecasting
Webinar
Join us for "Addressing Climate Change Using a Hybrid Approach to Forecasting"
Announcement
Spatial visualizations of weather inputs and remote sensing observations
Announcement
The latest with HydroForecast: February 2023
Insight
HydroForecast can improve hydropower earnings by 3–6%
Story
2022 HydroForecast wrapped
Announcement
Working in the water utility space?
Partnership
Partnering with Sonoma Water to improve seasonal reservoir management
Insight
Two days on the Colorado River
Announcement
HydroForecast wins 2022 Outstanding Stewards of America’s Waters Award
Update
Fall at Upstream Tech
Partner Spotlight
Delivering water intelligence to key regions with The World Wildlife Fund
Announcement
HydroForecast featured in Water Power Magazine
Insight
Not all AI has the same IQ
Update
Celebrating 2021 and looking ahead to 2022
Announcement
Peter Stein joins Upstream Tech as an advisor on natural resource investment
Insight
Understanding the ebbs and flows of California's water markets
Partner Spotlight
Developing tools to model impaired streamflow in streams throughout California
Update
Upstream Tech adds new advisors to support our growth
Update
Little Tallapoosa River near Newell, Alabama
Update
Taylor River at Taylor Park, Colorado
Announcement
Upstream Tech awarded Phase 2 SBIR grant from Department of Energy
Update
North Fork Shoshone River at Wapiti, Wyoming
Insight
Reflections of an Upstream Tech intern: national hydropower assessment project
Announcement
HydroForecast’s new machine learning-enabled seasonal streamflow forecasts
Update
James River above Arrowwood Lake, North Dakota
Update
CEATI April read
Update
CEATI March read
Update
CEATI February read
Announcement
ENGIE selects HydroForecast to inform 1.7 GW of renewable generation
What We're Reading
Hydro's Digital Generation
Insight
Preprint: How we are advancing uncertainty estimation with deep learning
Partnership
Upstream Tech and Near Space Labs announce partnership
Story
Trees, temperature, and trout: modeling impacts on freshwater species
Story
Correcting a streamflow model with deep learning
Announcement
Justice, solidarity, and action
Announcement
Upstream Tech awarded Phase 1 SBIR grant from Department of Energy
Insight
Peer-reviewed paper on linking hydrology and theory-guided machine learning
Insight
Peer-reviewed milestone publication on our approach to predictions in ungauged basins
Story
Forecasting water quality
Case Study
South Payette case study
Webinar
Diving into the science behind our model, the latest R&D, and feature updates
Webinar
Integrating AI into long-term water investment decisions
Webinar
Addressing climate change with a hybrid approach to forecasting
Webinar
Improving water supply management for utilities
Webinar
Improving seasonal water supply forecasts in California and the West
Webinar
Could streamflow forecasts have predicted Lake Oroville's extreme conditions?
Webinar
Freshet season in review: how HydroForecast predicts snowmelt using machine learning
Webinar
Snowmelt, storms, and droughts: forecasting streamflow in the Pacific Northwest using machine learning
Webinar
Unlocking the value of your data with machine learning
Webinar
Innovations in wetland monitoring and evaluation
Webinar
Bridging physical hydrology and neural networks for reliable streamflow forecasts
Webinar
Satellites 101
Webinar
The past, present, and future of hydrology forecasts
Research / Paper
Insights from a comparison of two hydrological modeling approaches in the Kwando River and the western tributaries of the Zambezi River basin
Research / Poster
Learned Unit Hydrograph Routing in an End-to-End Trainable, Distributed, Deep Learning Hydrologic Model
Research / Talk
Challenges and Successes in Building a Global, Operational, Theory-Guided Machine Learning Model
Research / Paper
Idaho National Lab study finds HydroForecast can improve hydropower earnings by 3-6%
Research / Paper
Data Assimilation and Autoregression for Using Near-Real-Time Streamflow Observations in Long Short-Term Memory Networks
Research / Case Study
HydroForecast Accurately Predicts Rain on Snow Event in California
Research / Paper
Uncertainty Estimation with Deep Learning for Rainfall–Runoff Modeling
Research / Case Study
Hurricane Ida Hits Tennessee: How HydroForecast Helps Prepare for Extreme Weather
Research / Paper
A Note on Leveraging Synergy in Multiple Meteorological Data Sets with Deep Learning for Rainfall–Runoff Modeling
Research / Paper
Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning
Product
Stay current on the latest HydroForecast offerings and their impact around the world
Insight
Sep 20, 2023
Why weather forecasts aren’t the (only) important forecast for climate change
Lesson
Jul 28, 2023
How AI can be a useful tool for climate and the sciences: Part I
Insight
Jun 1, 2023
Leveraging remote sensing and forecasting to better understand an unpredictable climate
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Community
Get to know our team of customers and partners
What We're Reading
Jan 26, 2021
Hydro's Digital Generation
Partnership
Dec 15, 2020
Upstream Tech and Near Space Labs announce partnership
Case Study
Oct 10, 2019
South Payette case study
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News
Keep up-to-date with the Upstream Tech team's latest announcements, events, and updates
Announcement
Sep 13, 2023
NOAA Awards Upstream Tech Small Business Innovation Research Grant
Insight
Aug 24, 2023
Celebrating hydropower's role in a 100% renewable grid
Update
Aug 9, 2023
The latest with HydroForecast: August 2023
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Webinars
Tune into an upcoming event or watch past recordings
See all webinars
Webinar
Aug 15, 2023
Diving into the science behind our model, the latest R&D, and feature updates
Webinar
Jun 1, 2023
Integrating AI into long-term water investment decisions
Webinar
Mar 30, 2023
Addressing climate change with a hybrid approach to forecasting
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Research
Explore the collaborative scientific research behind our forecasts
Paper
July 19, 2023
Insights from a comparison of two hydrological modeling approaches in the Kwando River and the western tributaries of the Zambezi River basin
Poster
December 16, 2022
Learned Unit Hydrograph Routing in an End-to-End Trainable, Distributed, Deep Learning Hydrologic Model
Talk
December 16, 2022
Challenges and Successes in Building a Global, Operational, Theory-Guided Machine Learning Model
Paper
December 6, 2022
Idaho National Lab study finds HydroForecast can improve hydropower earnings by 3-6%
Paper
November 4, 2022
Data Assimilation and Autoregression for Using Near-Real-Time Streamflow Observations in Long Short-Term Memory Networks
Case Study
April 26, 2022
HydroForecast Accurately Predicts Rain on Snow Event in California
Paper
March 31, 2022
Uncertainty Estimation with Deep Learning for Rainfall–Runoff Modeling
Case Study
September 3, 2021
Hurricane Ida Hits Tennessee: How HydroForecast Helps Prepare for Extreme Weather
Paper
May 20, 2021
A Note on Leveraging Synergy in Multiple Meteorological Data Sets with Deep Learning for Rainfall–Runoff Modeling
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