Objective

・ Realization of unmanned aircraft weather information tailored to regional characteristics such as mountainous regions and sea (isolated islands)

・ Aiming to improve prediction accuracy and practicality for nationwide deployment of unmanned aircraft weather information provision function

Outline

Improve and expand the results of the "Meteorological Information Provision Function for unmanned aircrafts," which was researched and developed in FY2017-2019, to verify prediction accuracy and practicality in regions where weather characteristics differ, such as mountainous regions and sea (remote islands).

① Consider of Weather Observation Considering Regional Characteristics and Acquisition of Observed Data
② Improvement and Verification of Strong Wind Prediction Technology Considering Regional Characteristics
③ Improvement and Verification of Unmanned Aircraft Weather Information Providing Function Considering Regional Characteristics
④ International Standardization Advances

Relevant Achievement

FY2017-2019 NEDO DRESS Project
・ Interconnection test with unmanned aircraft traffic management system of same airspace and multiple operators (Oct.2019)
・ Demonstration of traffic management system for the same airspace and multiple drone operators (Mar.2019)
・ Providing meteorological information for unmanned aircrafts and demonstration tests of meteorological observations using unmanned aircrafts (Oct.2017)