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🚨 New Pub 🚨
How can we design robust sensor networks? How do we assess the future value of data BEFORE we invest in several years of observations? Tyler Balson & I explore this in a new pub @HydroProcesses. a 🧵

#MachineLearning #Hydrology…
Motivation: To improve a forecast (e.g., 1-day forecast of in-stream #nitrate in the Wabash River Basin), where do we put a sensor? To benefit whom?

Does a sensor to improve city A forecast also help City B? Can we leverage for network-scale benefits? Is there an optimal?
First problem: How to assess the value of data you don't have? We used Agro-IBIS to generate a synthetic data set. We proceed to analyze these model outputs at locations of current and potential sensors.
H/T to @Chris_Kucharik my AgroIBIS mentor
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