Thursday, 11 January 2018: 2:15 PM
410 (Hilton) (Austin, Texas)
The NOAA Products Validation System (NPROVS) was developed at the NOAA/NESDIS Center for Satellite Applications and Research (STAR) in support of the NOAA Joint Polar Satellite System (JPSS) environmental data record (EDR) calibration/validation program. The primary function of NPROVS is to create daily collocations that match sounding footprints from many satellite platforms with each other and with data from other sources including radiosondes. The NPROVS database contains more than 4 million collocations that have been collected over the past ten years. The products that have been collocated include:
- Radiosondes, conventional and JPSS-funded dedicated/Global Reference Upper Air Network (GRUAN)
- The NOAA Unique Combined Atmospheric Processing System (NUCAPS) products from the S-NPP CrIS/ATMS and the MetOp-A and MetOp–B IASI/AMSU
- The NOAA Microwave Integrated Retrieval System (MIRS) products from S-NPP, NOAA-18, NOAA-19, MetOp-A and MetOp-B
- The EUMETSAT MetOp-A and MetOp–B IASI/AMSU
- NASA Aqua Atmospheric Infrared Sounder (AIRS) product
- NOAA Advanced-TIROS Operational Vertical Sounder (ATOVS) products from NOAA-19 and MetOp-B
- NOAA Geostationary Operational Environmental Satellite (GOES-13/15 and GOES-16)
- UCAR Constellation Observing System for Meteorology Ionosphere and Climate (COSMIC) GPS Radio Occultation
- Radio Occultation Method Satellite Applications Facility (ROM SAF) Global Navigation Satellite System Receiver for Atmospheric Sounding (GRAS) Radio Occultation
- NOAA Global Forecast System (GFS) Forecast Analysis
- ECMWF Forecast Analysis
This report summarizes the NPROVS system and discusses the contents, structure, and accessibility of the NPROVS database. Examples are provided to demonstrate the capability of the system and to highlight the usefulness of the system to researchers. An analysis focuses on the use of graphical tools that were developed to provide users with the ability to view near-real time, short-term and long-term statistical analyses and cross-comparisons of temperature and moisture profile data from every collocated data platform.
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner