Abstract

AbstractThe boundary layer plays a critical role in regulating energy and moisture exchange between the surface and the free atmosphere. However, the boundary layer and lower atmosphere (including shallow flow features and horizontal gradients that influence local weather) are not sampled at time and space scales needed to improve mesoscale analyses that are used to drive short-term model predictions of impactful weather. These data gaps are exasperated in remote and less developed parts of the world where relatively cheap observational capabilities could help immensely. The continued development of small, weather-sensing uncrewed aircraft systems (UAS), coupled with the emergence of an entirely new commercial sector focused on UAS applications, has created novel opportunities for partially filling this observational gap. This article provides an overview of the current level of readiness of small UAS for routinely sensing the lower atmosphere in support of national meteorological and hydrological services (NMHS) around the world. The potential benefits of UAS observations in operational weather forecasting and numerical weather prediction are discussed, as are key considerations that will need to be addressed before their widespread adoption. Finally, potential pathways for implementation of weather-sensing UAS into operations, which hinge on their successful demonstration within collaborative, multi-agency-sponsored testbeds, are suggested.

Highlights

  • The boundary layer plays a critical role in regulating energy and moisture exchange between the surface and the free atmosphere

  • Jensen et al (2021, unpublished manuscript) and Moore (2018) demonstrated the value of assimilating targeted profile of winds, temperature and humidity using WxUAS to improve prediction of storm evolution compared to that obtained when assimilating conventional observations alone. While these results demonstrate the potential for uncrewed aircraft systems (UAS) data assimilation (DA) in numerical weather prediction (NWP) and hint at some of the requirements for data accuracy and sampling strategies, a great deal of work remains to assess

  • Operational mesoscale model predictions can be improved by filling the data gap in the lower atmosphere with observations obtained with WxUAS and commercial UAS

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Summary

Introduction

The boundary layer plays a critical role in regulating energy and moisture exchange between the surface and the free atmosphere. Operational meteorologists have pointed to the need for increased observation of the lower atmosphere to improve the accuracy of short-term (

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