Anthony Reale
received B.S. degrees in Meteorology and
Physics from the State University of New York, College at Oswego in
1976. Following three years as a research fellow at the University of
Nevada, Reno, he received his M.S. degree in Atmospheric Physics in
1979. He then spent three years in the field conducting remote sensing
measurements programs to establish background air-quality and
meteorological profiles at selected locations in the pristine eastern
Mohave Desert. Mr. Reale was hired as a NOAA support contractor in 1983
where he began working on the problem of deriving atmospheric sounding
products from remote satellite sensors onboard NOAA operational polar
orbiting satellites, and was hired on as federal employee in 1984. Since
that time, he has provided technical guidance and direction to
government and support contractor staff focused on the development of
scientific algorithms and graphical evaluation techniques to
respectively derive and evaluate global weather products NOAA polar
satellites.
Mr. Reale has contributed numerous achievements in the area of operational satellite
derived product algorithm development and multiple product platform validation:
Algorithm Development.
Mr. Reale has participated in the development and operational implementation of
various approaches for deriving temperature and moisture sounding products
beginning with the early statistical based approaches of the 1980's to the
more dynamic physical approaches through the 1990's and 2000's for NOAA
TIROS Operational Vertical Sounder (TOVS), Advanced-TOVS (ATOVS) and
Defense Meteorological Satellite Product (DMSP) systems.
Algorithm Validation.
Since his earliest days at NOAA, Mr. Reale has been a primary contributor in
the development and deployment of analytical and graphical techniques in
support of scientific algorithm development routine derived product monitoring
in conjunction with operational satellite product derivation systems.
He initiated innovative analytical and graphical
advances in the combined use of satellite orbital and collocated satellite,
ground-truth radiosonde and numerical weather prediction observations for operational
troubleshooting and the scientific development and validation of satellite derived
products and scientific algorithms.
NOAA PROducts Validation System
Mr. Reale joined the NOAA
NPOESS Cal/Val team in 2007 and was assigned PI for the technical and
scientific development of vicarious calibration/validation systems for JPSS
(formerly NPOESS) Environmental Data records (EDR) which led to the NOAA
PROducts Validation System (NPROVS). NPROVS
now provides a centralized atmospheric product validation protocol at the Center
for SaTellite Applications and Research (STAR) which
routinely inter-compares multiple satellite suites of satellite based observations from POES,
GOES and GPS satellites against a common set of ground truth targets. NPROVS operates in a near real-time
environment and includes scientific analytical interface tools for routine
product monitoring, troubleshooting, data archive and longer term analysis of product trends potentially
of value for climate. For more information, see:
NPROVS Validation System
Anthony Reale
Anthony Reale
received B.S. degrees in Meteorology and
Physics from the State University of New York, College at Oswego in
1976. Following three years as a research fellow at the University of
Nevada, Reno, he received his M.S. degree in Atmospheric Physics in
1979. He then spent three years in the field conducting remote sensing
measurements programs to establish background air-quality and
meteorological profiles at selected locations in the pristine eastern
Mohave Desert. Mr. Reale was hired as a NOAA support contractor in 1983
where he began working on the problem of deriving atmospheric sounding
products from remote satellite sensors onboard NOAA operational polar
orbiting satellites, and was hired on as federal employee in 1984. Since
that time, he has provided technical guidance and direction to
government and support contractor staff focused on the development of
scientific algorithms and graphical evaluation techniques to
respectively derive and evaluate global weather products NOAA polar
satellites.