May is here, and spring-melt season is in full swing! As temperatures at many sites in the Northern Hemisphere are now consistently above freezing, snowmelt is having a big impact on reservoir inflows. We’ve been enjoying watching the activity this spring and seeing our forecasts evolve as events play out. Read on to learn about what our team has been up to recently.
We recently rolled out a feature we’re very excited about: automated threshold-based forecast alerts. If you missed it in last month’s feature release, read about how to use this feature in our support article. We would love to receive your feedback on the feature around notification preferences, the content and format of the emails, or anything else on your mind. If you have ideas or thoughts to share, please fill out this short survey.
Machine learning techniques are becoming more and more prominent in the environmental and water sphere as they help us learn more about and understand the interactions between water and the climate. We put together a list of resources for anyone who would like to learn more about machine learning and hydrology.
Our technical lead, David Lambl was invited to speak at the 2023 European Geophysical Union (EGU) annual meeting at the end of April. He discussed the benefits of a distributed modeling approach and how it’s used to capture varying characteristics in large heterogeneous basins to accurately route and predict flows. Follow this link to download a copy of the presentation, and don’t hesitate to reach out with any questions.
As we’re nearing summertime in the Northern Hemisphere and temperatures continue to rise, snow melt is having an increasingly big impact on streamflow.
Check out the example below where one of our April forecasts predicted a pulse in snow melt along the Trinity River in northern California. Even after this melt pulse, snow water equivalent in the basin is still 273% of the historical average! We’ve been keeping a close eye on our forecasts during this active period, especially in areas with record-high snowpack levels.
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Check out the rest of our knowledge base to learn more about using our forecasts and dashboard. Please also reach out any time at email@example.com with any questions, ideas, or feedback!