Application of quasi-deep convective clouds method for MODIS and VIIRS TEB calibration assessments

Tiejun Chang; Carlos Perez Diaz; Ashish Shrestha; Xiaoxiong Xiong

doi:10.1117/12.2567221

20 August 2020 Application of quasi-deep convective clouds method for MODIS and VIIRS TEB calibration assessments

Tiejun Chang, Carlos Perez Diaz, Ashish Shrestha, Xiaoxiong Xiong

Proceedings Volume 11501, Earth Observing Systems XXV; 115010K (2020) https://doi.org/10.1117/12.2567221
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Abstract

A technique to use deep convective clouds (DCC) and quasi-DCC (qDCC) for the calibration assessment of the thermal emissive bands (TEB) on remote sensing instruments has proven feasible. The Terra and Aqua MODIS and S-NPP and NOAA-20 VIIRS TEB calibration uses a nonlinear algorithm whose nonlinear coefficients rely on on-orbit blackbody (BB) warm-up and cool-down (WUCD) activities for updates. However, the limited BB temperature range affects the calibration’s uncertainty. The DCC core, one of the coldest Earth scenes, is suitable for MODIS calibration assessments; more specifically, for the evaluation of the offset effect in its TEB quadratic calibration function. Moreover, nighttime qDCC measurements provide the advantage of removing solar reflectance effects, thus enhancing the assessment’s accuracy for the midwave infrared TEB. In this paper, the qDCC method is applied to the Terra MODIS and VIIRS TEB. Their stabilities are assessed using long-term DCC and qDCC trending measurements over the instruments’ entire missions. The measurements from bands with an approximately 11-μm wavelength are used to identify the DCC pixels. MODIS band 31 (~ 11 μm) has demonstrated stable performance and accurate calibration for both instruments throughout their respective missions. MODIS band 31 can therefore be used as a reference for the other TEB. Furthermore, it also allows for a Terra and Aqua MODIS TEB cross-comparison. The assessment results, along with the calibration uncertainty and Level 1B product impact modeling, can be quite helpful for calibration improvements.

Conference Presentation

Citation Download Citation

Tiejun Chang, Carlos Perez Diaz, Ashish Shrestha, and Xiaoxiong Xiong "Application of quasi-deep convective clouds method for MODIS and VIIRS TEB calibration assessments", Proc. SPIE 11501, Earth Observing Systems XXV, 115010K (20 August 2020); https://doi.org/10.1117/12.2567221

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available