Creating a AIRS/AMSU and CrIS/ATMS continuity sounding product
Abstract
The AIRS/AMSU (Atmospheric Infrared Sounder; Advanced Microwave Sounding Unit) onboard the EOS/Aqua was launched in 2002. CrIS/ATMS (CrossTrack Infrared Sounder; Advanced Technology Microwave Sounder) onboard Suomi NPP was launched in 2011 and will also be launched on the Joint Polar Sounding System (JPSS) series of satellites beginning in 2017. Suomi NPP and EOS/Aqua now have more than five years of overlap. Demonstrating data continuity between these two platforms has become a priority especially since EOS/Aqua is well past its design lifetime. Additionally, with JPSS, this record of soundings will be extended into future decades and will enable critically important scientific research on large scale (long term) atmospheric processes. The AIRS/AMSU and CrIS/ATMS have many differences in instrument design, spatial sampling, spectral coverage and resolution. Instruments also degrade with time. It is only with careful, deliberate and transparent error characterization and propagation that systematic effects can be accounted for, and preferably minimized, in retrieved sounding products. We have developed the Community Long-term Infrared Microwave Coupled Product System (CLIMCAPS) to achieve a seamless record of satellite soundings. A CLIMCAPS sounding is comprised of a set of parameters that characterizes the full atmospheric state and includes profiles of temperature, moisture, cloud and surface products, and trace gas species (O3, CH4, CO, SO2, HNO3, N2O and CO2). The trace gases are by-products necessary to remove biases in temperature and moisture retrievals; however, they can also be readily ingested into science applications. The information content of an IR sounder such as AIRS and CrIS is a function of lapse rate, the quantity of absorbers such as clouds, moisture and trace gases, as well as the instrument's sensitivity. Information content can vary vertically, spatially, and temporally. CLIMCAPS uses the NASA Modern-Era Retrospective Analysis for Research (MERRA) as an a-priori to stabilize the solution in low information content domains. We will demonstrate the unique properties of the CLIMCAPS algorithm that enables continuity and error characterization with the Aqua/NPP data record.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2017
- Bibcode:
- 2017AGUFM.A12B..04B
- Keywords:
-
- 3360 Remote sensing;
- ATMOSPHERIC PROCESSES;
- 0480 Remote sensing;
- BIOGEOSCIENCES;
- 1640 Remote sensing;
- GLOBAL CHANGE;
- 4894 Instruments;
- sensors;
- and techniques;
- OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL