In this paper, we will present a Single Field-of-view (FOV) Sounder Atmospheric Product (SiFSAP) and a Climate Fingerprinting Sounder Product (ClimFiSP). Both products are derived from hyperspectral Infrared remote sensors such as Atmospheric Infrared Sounder (AIRS) and Cross-track Infrared Sounder (CrIS). Compared to the current operational AIRS and CrIS level-2 algorithms, the SiFSAP algorithm has 3 advantages, which are listed in the technical review abstract. We have developed a ClimFiSP product, which is derived from spatiotemporally averaged level-1 hyperspectral radiances directly. Again, the ClimFiSP algorithm overcomes many issues associated with traditional level-1 to level-2 and then to level-3 approach. It can be used to derive climate change signals from multiple satellite sensors using consistent radiative kernels and a robust spectral fingerprinting method. We have applied this method to both AIRS and CrIS data and generated decade-long climate data records for atmospheric temperature, water vapor, cloud, trace gases, and surface skin temperature. Both SiFSAP and ClimFiSP are being transitioned to NASA data centers for routine generations of both level-2 and level-3 products.
A principal component based accurate fast vector radiative transfer model with very high resolution in the UV (200 nm) to NIR (2500 nm) has been developed. This model greatly reduces the number of necessary radiative transfer calculations, and no time-consume convolution process is needed to get the final radiance spectrum. The error in the obtained Stokes component is usually smaller than 0.1% and is much smaller than the uncertainty in the measured solar irradiance.
Ultra-spectrally resolved infrared measurements from aircraft and space-based observations contain information about tropospheric carbon monoxide (CO) and ozone (O3), as well as other trace species. A methodology for retrieving these tropospheric trace species from such remotely sensed spectral data has been developed and validated for the National Airborne Sounder Testbed-Interferometer (NAST–I). The Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) field campaign was conducted during August 2019 to investigate the impact of wildfire and biomass smoke on air quality and weather in the continental United States. NAST–I CO and O3 measurements from the recent FIREX-AQ field campaign are presented and used to estimate wildfire plume age. Results show enhanced levels of CO in the evolving plume as it is transported away from the fire ground site, and its plume age is associated with the plume distance in both the vertical and horizontal directions from the wildfire location. These results are enabled by the moderate-vertical and high-horizontal resolution obtained from the NAST–I IR spectrometer onboard the NASA ER-2 aircraft. This study advances our knowledge of fire-induced plumes with their evolution and age characterized in three-dimensional space using information from NAST–I retrieved CO and O3 and relative changes in their concentrations.
The Ozone Mapping and Profiler Suite (OMPS) aboard the Joint Polar Satellite System-1 (JPSS-1) spacecraft is the 2nd Ultraviolet (UV) Sensor Suite launched on November 18, 2017. Similar to the OMPS on S-NPP, the OMPS on JPSS-1 (which is also named NOAA-20, or N20) contains two advanced nadir viewing hyper-spectral instruments, Nadir Profiler (NP) and Nadir Mapper (NM), to measure the total column and vertical profile of ozone in the atmosphere globally. This paper first briefly summarizes the status of calibration to OMPS on N20 sensor data record (SDR) at NOAA, which reached provisional maturity status on April, 2019 but more update on the stray light correction is on-going. An initial assessment of NOAA N20 SDR products are present in this paper. In these validations, we first compared the NP and NM spectral from N20 with the collocated spectral from S-NPP and TROPOMI. In addition, the radiative transfer model, TOMRAD, was used to simulate the radiance to be measured by OMPS NP and NM, and the inputs include the collocated ozone profiles from S-NPP and the total ozone amounts from either S-NPP or TROPOMI. Both simulations and spectral comparison with S-SNPP show that most channels meet the requirements with an accuracy of 2%, except in channels where the impact by stray light is large. However, the normalized reflectance of N20 is, on average, 10-30% smaller than TROPOMI. Due to the large spatial and spectral solution between OMPS and TROPOMI, further comparison by selecting the clear cases is needed. Results of this study provide useful information on NOAA-20 OMPS post-launch calibration assessment and preliminary analysis of its calibration stability and consistency with S-NPP. These two approaches through (1) the crosscomparison of spectral, and (2) the comparison with simulations, will be used to monitor the status of OMPS and improve the N20 OMPS radiance calibration at NOAA.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.