Potential Socioeconomic and Environmental Benefits and Beneficiaries of UAS Atmospheric Profiles from a 3D Mesonet

Abstract

In recent years, technological developments in engineering and meteorology have provided the opportunity to introduce innovative extensions to traditional surface mesonets through the application of UAS (unmanned aircraft systems). This new approach of measuring vertical profiles of weather variables by means of UAS in the atmospheric boundary layer, in addition to surface stations, has been termed a 3D mesonet.Technological innovations of a potential 3D mesonet have recently been described in the literature. However, a broader question remains about potential socio-economic and environmental benefits and beneficiaries of this new extension. Given that the concept of a 3D mesonet is a new idea, studies about socio-economic and environmental advantages of this network (compared to traditional mesonets) do not appear to exist in the peer reviewed literature.This paper aims to fill this gap by providing a first perspective on potential benefits and ripple effects of a 3D mesonet, addressing both the added-value and prevented losses in specific sectoral applications and for different groups. A better understanding of qualitative economic aspects related to a 3D mesonet can facilitate future developments of this technology for more cost-effective applications and to mitigate environmental challenges in more efficient ways.

Quality management system and design of an integrated mesoscale meteorological network in Central Italy

“…Sites are labelled with their regional identification code. Actions to be performed on each site are indicated by different symbols Fiebrich et al, 2021;Illingworth et al, 2015Illingworth et al, , 2019: miniradar (X-band), lidars, ceilometers, Doppler lidars, wind profilers, microwave radiometers, weather observing uncrewed aircraft systems,. Nowadays, all these instruments can be affordable by regional authorities and they should be considered during the design process (Frei, 2003).…”

“…The observational lack of a network can be filled not only by surface observations but also by ground‐based remote sensing observations (Brotzge et al, 2020; Fiebrich et al, 2021; Illingworth et al, 2015, 2019): mini‐radar (X‐band), lidars, ceilometers, Doppler lidars, wind profilers, microwave radiometers, weather observing uncrewed aircraft systems,. Nowadays, all these instruments can be affordable by regional authorities and they should be considered during the design process (Frei, 2003).…”