Two datasets, Two worlds, but same language! 🌎
#SMAP in m³/m³, and #GLDAS in its own model-native scaling give us #Evapotranspiration. 💧
Scale conversion?👇
📊 #Statistics does the heavy lifting. 📊
#Bias? Small.😎
#RMSE? Reasonable.✌️
When physical unit harmonization is tricky, let the #data talk.✨
📗 Our #CRC1502 most-cited series, Post #7 (42 citations) from our speaker @jurgenkusche.bsky.social Lab: Karegar et al., (2022). A low-cost GNSS-IR #river-level #sensor from a Raspberry Pi + GNSS. At the Rhine, it achieves ~6 cm daily #RMSE, promising for flood monitoring.
📜 doi.org/10.1029/2021...
The power and desire to be ZERO - A value of 0 means a perfect fit, but in the real world, we chase the lowest number possible. It's the standard deviation of your prediction errors!
#mlzoomcamp #rmse
