Denis Tremblay 1, Yong Han 2, Yong Chen 3, Likun Wang 3, Xin Jin 2, Xiaozhen Xiong 2, Lihang Zhou 2 1 Science Data Processing Inc., 2 NOAA/NESDIS/STAR, 3 University of Maryland USA. Contact: CrIS Optical Schematic Spectral Characteristics Number of FOV 9 Number of FOR per Scan Line 30 Scan line Acquisition Period 8 seconds Number of Scan line per day Number of Frequency Band 3 Total number of Spectra per Day 8.7 Million Normal Acquisition Mode 1 center, 4 side and 4 corner FOVs in each FOR (16 km) 14Km Field Of Regard Scan Line (2200 Km Swath) CrIS acquires 8.7 million spectra per day covering over 95% of the Earth surface. The noise measurement has dependency on the Correction Matrix Operator (CMO). The noise measurement has dependency on the Correction Matrix Operator (CMO). CrIS SDR Algorithm product comprises the radiance, NEdN (noise), geolocation, and data quality flags. - IASI has full spectral coverage from 645 cm-1 to 2760 cm-1. -AIRS and CrIS have 3 frequency bands as shown. -CrIS has coarser spectral resolution in MW and SW. JPSS-1 is expected to download full spectral resolution (0.625 cm-1 all 3 bands). JPSS-1 launch is planned for The FSR spectra have noise increase with respect to TSR due to greater number of data points and the SDR processing, namely the ISA correction matrix. Strong correlation factor R in SWIR for side and corner FOVs, even with 3pts Hamming apodization (side FOV not shown). Smaller R for LWIR and MWIR. 680 AMS 2014 Pre-Process RDR FFT to spectrum FCE handling Non-linearity correction Radiometric Calibration Self- apodization correction Residual ILS correction Geolocation RDRs: Interferograms 8 sec science Telemetry 4 min Engineering packet Geometric data SDR Spectral resampling to user grid Post calibration filter Spectral calibration Radiometric Calibration The CrIS SDR algorithm data flow is currently being updated. The modification with respect to S-NPP are: (1) Process the full resolution ( cm-1 for all 3 bands), (2) The radiometric equation reordering where the spectral resampling (to user’s grid) step is performed before the Instrument line shape (ILS) correction which comprises the self-apodization removal, (3) Change several input files content. One tentative change is to replace the inverse self-apodization matrix from dynamic computing to a fix regression table. Pre-launch testing activities also includes the estimation of key calibration parameters such as the non-linearity and the ILS coefficients. From bench test results, non-linearity for the SWIR may be added (currently set to zero) according to UW. The JPSS-1 CrIS instrument noise of the Radiance product originates from the Interferogram measurments and the SDR Algorithm. The SDR algorithm creates strong Correlated noise near the diagonal of the Noise measurement covariance matrix and Has dependency on the FOV location and the Measured frequency. On 12/2/2014, one hour of scan scenario (normal opertional mode) data were acquired from the JPSS-1 CrIS in TVAC. This data set was processed giving the radiance of the external calibration target, a hot black body. The noise measurement covariance was computed after the radiance data after removal of the trend. Band Spectral Range (cm-1) Spectral Range (µm) Bandwidth (cm-1) Resolution (cm-1) [Truncated Resolution] Max OPD (cm) LWIR [0.625] 0.8 MWIR [1.25] 0.8 SWIR [2.5]0.8 F : Resampling Matrix F : Post calibration filter ISA : Inverse Self-Apodization Matrix Data Processing Radiometric Calibration Equations. Les : Earth Scene radiance product S : Raw spectra (Earth scene, ICT, DS) B : Planck function COV: Covariance Matrix Noise increase due to greater number of data points within the frequency band. For example,, NEdN of full spectral resolution (FSR) with n1 data points has noise increase with respect to truncated spectral resolution (TSR) that has n2 data points. BandData Points FSRData Points TSRFSR Noise Increase factor due to number of Data Points LWIR MWIR SWIR Noise increase due to Inverse Self-Apdization(ISA) matrix. The ISA corrects for the Instrument line shape where the most dominant effect if the frequency shift as function of the FOV geometry. The spectral shift is accentuated as the FOV is located further with respect to the optical axis. ISA matrix becomes off- diagonal dominant for SWIR corner FOVs. NEdN NEdN with 3pts-Hamming Apodization Noise Measurement Covariance Matrices, FOV1 Correlation Factor R at 900 cm-1 LWIR MWIR SWIR R at 2543 cm-1. R at 1700 cm-1. JPSS-1 meets the noise requirements with margin. MWIR FOV8 has borderline noise..