SPECTRAL SCIENCES, INC — Department of Defense SBIR Phase I: AF151-082

Description

ABSTRACT:Data processing algorithms are needed to transform persistent infrared (OPIR) sensor observations into novel and timely environmental analysis and data products to enhance Air Force Weather Agency (AFWA) capabilities. Spectral Sciences, Inc. (SSI), in collaboration with the Univ. of Wisconsin Space Science and Engineering Center (SSEC), proposes to develop an operational concept (OPSCON) that utilizes the unique characteristics of OPIR data to enhance AFWA prediction abilities without interfering with OPIRs primary mission. We shall develop a novel CO2/N2O slicing algorithm to derive three important cloud parameters (cloud presence, cloud top height, and cloud top phase) that will augment existing climatology databases. The key innovation lies in developing algorithms for OPIRs mid-wave infrared spectral bands, which are not conventionally utilized for environmental intelligence. We will also investigate OPIR data for characterizing ionosphere electrical discharges or upward lightning (sprites, elves, and blue jets). This program leverages SSECs extensive experience in cloud retrievals and SSIs radiation and sensor modeling experience and codes as well as publicly available data from the NASA MODIS and VIIRS satellites. In Phase II, we will implement the software with OPIR data, and refine collection requirements and OPSCON for supporting DOD weather and climatological requirements.BENEFIT:The algorithms developed under this program would provide immediate benefit to AFWA weather predictions by providing timely and accurate cloud data products from OPIR imagery. End products will include a comprehensive, all-altitude forward atmospheric radiance modeling tool and cloud retrieval operational algorithms and data products. The modeling tool and algorithms will be of significant value for sensor design and other government and commercial applications of radiative transfer codes. The cloud properties data products will enhance meteorological forecasting and climatology research.