STAR Integrated CalVal System (ICVS) and Global Bias Monitoring System (GBMS) for JPSS/METOP/GOES-R

The international community is becoming more interested in using all JPSS sensor data in real-time for weather and climate applications after the JPSS is declared as an operational mission. The current NOAA POES Integrated CalVal System (ICVS) for real-time monitoring can be enhanced to cover JPSS sensor in-orbit performance. The ICVS will trend the instrument noise and track instrument house-keeping information, and record the sensor anomalies into metadata files for future productions of climate data records. A global bias monitoring system (GBMS) will be developed for characterizing the JPSS sensor biases relative to both NCEP and ECMWF global forecasts (6-hour guess fields) as well as measurements from the reference sensors such as NOAA/METOP-A instruments. The WMO Global Space-Based Inter-Calibration System (GSICS) baseline algorithms (e.g. Simultaneous Nadir Overpassing, SNO and Double Difference Technique, DDT) are used to cross-calibrate JPSS sensors to the reference sensors. The in-orbit performance parameters and inter-sensor biases from these systems are extremely important for building robust JPSS climate data records. As a demonstration, JPSS ATMS data, after its cross-calibration, are used to generate the atmospheric temperature data record. The existing NOAA Microwave Integrated Retrieval System (MIRS) will be used to retrieve the temperature and water vapor profile retrievals. These new temperature data records will be connected to those derived from MSU and AMSU-A on board previous NOAA satellites for long-term climate monitoring, which requires consistency, high precision and accuracy.