On the Space and Earth Sciences Data Analysis (SESDA) II program, Wyle Information Systems staff are maintaining and enhancing multi-mission simulators for X-ray satellite telescopes such as Newton-Xray Multi-Mirror (XMM) and the International X-ray Observatory (IXO). The simulation code relies on standard models for X-ray instrumental response to provide a parameterized generic simulator that may be used both for proposing observations that are coordinated between two or more current missions and for feasibility studies for future missions.
Wyle scientists and engineers support atmospheric, land and ocean modeling based on observations from satellites, aircrafts, ships and other sources are grouped, modeled or assimilated into various time scales varying from hourly to multi decadal and processed for visualization and analysis for the user community. Assimilated data products are available from the Goddard Earth Science Data and Information Center (GES DISC) for exploration using data discovery and visualization tools developed at the GES-DISC, such as Mirador and Giovanni. The Goddard Earth Observing System (GEOS) Data Assimilation System (DAS) is used to generate meteorological data assimilation products in support of NASA instrument teams, NASA's research programs, field campaigns, and as a contribution to U.S. weather and climate research and the availability of near-real-time data products made available by the Goddard Space Flight Center (GSFC) Global Modeling and Assimilation Office (GMAO).
Performing climate model assessments, inter- and intra-agency partnerships, multi-model ensembles, integrated climate assessments, and seasonal climate predictions, Wyle Information Systems routinely reduces Gigabytes of satellite and conventional measurement data for input to the models without reducing the number of forecasts used. Staff professionals provide IT and science support for seasonal, decadal, and long-term climate modeling on high-performance computers (HPCs) at NWS National Centers for Environmental Prediction (NCEP), the National Center for Atmospheric Research (NCAR) and others.
Keeping current on architectural modeling tools Wyle is able to complete the required Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) views for legacy systems and the end-state architecture. Systems engineers (SEs) use heuristics modeling data to develop the system requirements for each Air Force base, and to plan future upgrades and enhancements. Once the requirements have been established, SEs develop the hardware solutions necessary for the successful deployment of SPS to a specific base contracting office.
Wyle staff developed the initial Space Systems Generator (SSG) capability -- the first "in-house" modeling and simulation (M&S) system produced specifically to support Distributed Mission Operations for Space (DMO-S). SSG provided space order of battle in a Distributive Interactive Simulation (DIS) environment complete with health and status of Space system constellations. Wyle’s U.S. Air Force customer has been able to extend the DMO-S service to an ever increasing audience. The system now consists of multiple operations centers that can function independently and simultaneously supporting two remote sites and multiple peer M&S centers. To deliver this level of service and performance, DMO-S employs a significant IT and M&S system infrastructure from desktop systems to LAN switches to WAN routers.
Innovative staff developed Delta-V capability with breakup model to simulate Direct Ascent Anti-satellite (ASAT), co-orbital ASAT capability and satellite maneuvering within the modeling and simulation generator.
Wyle Information Systems assisted in the development and implementation of enhanced capabilities to COTS/GOTS Joint Communications Simulation System (JCSS), which resulted in the DMO-S Communications Effects System (CES). Wyle delivered an "in-house" designed and developed system network interface with basic capability to integrate with large-scale Distributed Interactive Simulation (DIS) events. Using this system, we developed and implemented a high fidelity model of the Air Force Satellite Control Network (AFSCN) from existing AFSCN configuration management products. This delivered product provided the authoritative model and data source for this critical part of the operational Air Force Space Command (AFSPC) infrastructure.