DoD SBIR 23.3 BAA

Active
No
Status
Closed
Release Date
August 23rd, 2023
Open Date
September 20th, 2023
Due Date(s)
October 18th, 2023
Close Date
October 18th, 2023
Topic No.
AF233-0033

Topic

Synthetic Weather Environment Injection

Agency

Department of DefenseN/A

Program

Type: SBIRPhase: BOTHYear: 2023

Summary

The Department of Defense (DoD) is seeking proposals for the topic of "Synthetic Weather Environment Injection" as part of the SBIR 23.3 BAA program. The Air Force branch is specifically interested in this topic. The objective is to develop a tool that can generate synthetic weather data and propose means to inject it into DoD exercises, training, and simulation. The current AF Weather systems cannot produce or process this synthetic weather. In Phase I, the goal is to develop a conceptual design for the tool and identify DoD applications that could utilize synthetic weather for training, exercises, and simulations. Phase II involves developing and demonstrating a proof-of-concept Synthetic Data Generation & Injection prototype system based on the Phase I design. In Phase III, the prototype system will be demonstrated by delivering synthetic weather data to customers using simulations and virtual exercises. The ultimate aim is to operationalize the prototype. The research in this solicitation has potential applications in areas such as advanced computing and software. The project duration and funding specifics are not mentioned in the document. The solicitation notice can be found at this link, and more information about the SBIR program can be found at the Defense SBIR/STTR website.

Description

OUSD (R&E) CRITICAL TECHNOLOGY AREA(S): Advanced Computing and Software

OBJECTIVE: Tailored synthetic weather is required for the purposes of DoD exercises, training, and simulation. As examples, weapon systems Program Offices require synthetic weather to support Digital Engineering to help obtain required performance in the natural operations environment. Also, most live, virtual, and/or constructive military training and exercises require tailored synthetic weather to provide forces and systems the opportunity consider the impacts of the environment in planning and executing mission. Weapon system flight and mission planning systems also have needs for synthetic weather injects. Current AF Weather systems cannot produce or process this synthetic weather.

DESCRIPTION: Tailored synthetic weather is required for the purposes of DoD exercises, training, and simulation. As examples, weapon systems Program Offices require synthetic weather to support Digital Engineering to help obtain required performance in the natural operations environment. Also, most live, virtual, and/or constructive military training and exercises require tailored synthetic weather to provide forces and systems the opportunity consider the impacts of the environment in planning and executing mission. Weapon system flight and mission planning systems also have needs for synthetic weather injects. Current AF Weather systems cannot produce or process this synthetic weather.

PHASE I: Develop a conceptual design for a tool that can generate synthetic weather data and propose means to inject synthetic weather. Identify DoD applications that could utilize synthetic weather to support training, exercises, and/or simulations. Deliverables include a report or presentation demonstrating the conceptual design and a path forward for Phase II.

PHASE II: Develop and demonstrate a proof-of-concept Synthetic Data Generation & Injection prototype system based on the preliminary design from Phase I.

PHASE III DUAL USE APPLICATIONS: Demonstrate the prototype system delivering synthetic weather data to a set if customers utilizing simulations and virtual exercises. Upon successfully supporting external customers, lay out plan to operationalize the prototype.

REFERENCES:

  1. AIR FORCE AGENCY FOR MODELING AND SIMULATION (AFAMS): https://www.afams.af.mil/;
  2. AF Weather Web Services: https://weather.af.mil/

KEYWORDS: synthetic weather; Modeling; Simulation; M&S; Live; Virtual; Constructive; LVC; Digital engineering; environment; exercises; training; numerical; prediction; forecast; data; generation