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The study of naturally occurring turbulent flows requires ability to collectempirical data down to the fine scales. While hotwire anemometry offers suchability, the open field studies are uncommon due to the cumbersome calibrationprocedure and operational requirements of hotwire anemometry, e.g., constantambient properties and steady flow conditions. The combo probe-the combinedsonic-hotfilm anemometer developed and tested over the last decade-hasdemonstrated its ability to overcome this hurdle. The old-er generation had alimited wind alignment range of 120 degrees and the in-situ calibrationprocedure was human decision based. This study presents the next generation ofthe combo probe design, and the new fully automated in-situ calibrationprocedure implementing deep learning. The elegant new design now enablesmeasurements of the incoming wind flow in a 360-degree range. The improvedcalibration procedure is shown to have the robustness necessary for operationin everchanging open field flow and environmental conditions. This isespecially useful with diurnally changing environments or non-stationarymeasuring stations, i.e., probes placed on moving platforms like boats, drones,and weather balloons. Together, the updated design and the new calibrationprocedure, allow for continuous field measurements with minimal to no humaninteraction, enabling near real-time monitoring of fine-scale turbulentfluctuations. Integration of these probes will contribute toward generation ofa large pool of field data to be collected to unravel the intricacies of allscales of turbulent flows occurring in natural setups.

Next generation combined sonic-hotfilm anemometer: wind alignment and automated calibration procedure using deep learning