Xingpin Liu

CO2 retrievals from the Atmospheric Infrared Sounder: Methodology and validation

In this paper we describe the methodology of an offline retrieval of CO 2 from AIRS data and show comparisons of these retrievals with all available NOAA ESRL/GMD aircraft data during 2005. In general, we find that when compared to the aircraft the AIRS CO 2 estimates agree to approximately ±0.5% in middle-tropospheric CO 2 column abundances between ±65 degrees latitude.

Regression of Surface Spectral Emissivity From Hyperspectral Instruments

The operational Atmospheric Infrared Sounder (AIRS) emissivity retrieval uses a National Oceanic and Atmospheric Administration (NOAA) regression emissivity product as a first guess for its retrieval over land. The NOAA approach is based on clear radiances that are simulated from the European Centre for Medium-Range Weather Forecasting forecast and a surface emissivity training data set. The same approach has also been applied to simulated Infrared Atmospheric Sounding Interferometer (IASI) data. Resulted emissivity spectra and maps derived from AIRS and IASI will be presented and discussed.

Seven Years' Observation of Mid-Upper Tropospheric Methane from Atmospheric Infrared Sounder

NASA/Jet Propulsion Laboratory, Pasadena, CA, USA; E-Mail: Thomas.s.pagano@jpl.nasa.gov * Author to whom correspondence should be addressed; E-Mail: Xiaozhen.xiong@noaa.gov; Tel.: +1-301-316-5020; Fax: +1-301-238-2398. Received: 20 September 2010; in revised form: 28 October 2010 / Accepted: 5 November 2010 / Published: 9 November 2010 Abstract: The Atmospheric Infrared Sounder (AIRS) on EOS/Aqua platform provides a measurement of global methane (CH

An Overview of the Joint Polar Satellite System (JPSS) Science Data Product Calibration and Validation

The Joint Polar Satellite System (JPSS) will launch its first JPSS-1 satellite in early 2017. The JPSS-1 and follow-on satellites will carry aboard an array of instruments including the Visible Infrared Imaging Radiometer Suite (VIIRS), the Cross-track Infrared Sounder (CrIS), the Advanced Technology Microwave Sounder (ATMS), and the Ozone Mapping and Profiler Suite (OMPS). These instruments are similar to the instruments currently operating on the Suomi National Polar-orbiting Partnership (S-NPP) satellite. In preparation for the JPSS-1 launch, the JPSS program at the Center for Satellite Applications and Research (JSTAR) Calibration/Validation (Cal/Val) teams, have laid out the Cal/Val plans to oversee JPSS-1 science products’ algorithm development efforts, verification and characterization of these algorithms during the pre-launch period, calibration and validation of the products during post-launch, and long-term science maintenance (LTSM). In addition, the team has developed the necessary schedules, deliverables and infrastructure for routing JPSS-1 science product algorithms for operational implementation. This paper presents an overview of these efforts. In addition, this paper will provide insight into the processes of both adapting S-NPP science products for JPSS-1 and performing upgrades for enterprise solutions, and will discuss Cal/Val processes and quality assurance procedures.

Validation of Atmospheric Infrared Sounder (AIRS) temperature, water vapor, and ozone retrievals with matched radiosonde and ozonesonde measurements and forecasts

An evaluation of the temperature, water vapor, and ozone profile retrievals from the AIRS data is performed with more than three years of collocated radiosondes (RAOBs) and ozonesonde (O3SND) measurements. The Aqua-AIRS version 4.0 retrievals, global RAOB and O3SND measurements, forecast data from the NCEP_GFS, ECMWF, and the NOAA- 16 ATOVS retrievals are used in this validation and relative performance assessment. The results of the inter-comparison of AIRS temperature, water vapor and ozone retrievals reveal very good agreement with the measurements from RAOBs and O3SND s. The temperature RMS difference is close to the expected product goal accuracies, viz. 1oK in 1 km layers for the temperature and close to 15% in 2-km layers for the water vapor in the troposphere. The AIRS temperature retrieval bias is a little larger than the biases shown by the ATOVS, NCEP_GFS, and ECMWF forecasts. With respect to the ozone profile retrieval, the retrieval bias and RMS difference with O3SNDs is less than 5% and 20% respectively for the stratosphere. The total ozone from the AIRS retrievals matches very well with the Dobson/Brewer station measurements with a bias less than 2%. Overall, the analysis performed in this paper show a remarkable degree of confidence in the AIRS retrievals.

Assessment of reanalysis datasets using AIRS and IASI hyperspectral radiances

Modern reanalysis datasets provide us with the best available four-dimensional, homogeneous datasets for studying the climate and weather systems and for possible validation of climate models. In order to have confidence in the use of reanalysis data for the above-mentioned studies, it is important to see how they compare with a common dataset with high data quality and to understand any discrepancies among them. In this study, the radiance measurements from the Atmospheric Infrared Sounder (AIRS) on NASA Aqua are used to assess the data quality of reanalysis datasets, including NASAs Modern Era Retrospective-analysis for Research and Applications (MERRA), European Centre for Medium-Range Weather Forecasts ERA-Interim Reanalysis, Japanese 25-year Reanalysis (JRA-25). Particularly, we focus on the spectral signature regions that are sensitive to stratosphere temperature and upper troposphere water vapor. The preliminary results on are presented.

Overview of cal val and environment data product performance derived from Visible Infrared Imaging Radiometer Suite (VIIRS)

The Visible Infrared Imaging Radiometer Suite (VIIRS) instrument which is onboard the Suomi National Polar-orbiting Partnership (S-NPP)/Joint Polar Satellite System (JPSS) satellites has transitioned much of the capability of the experimental MODerate Resolution Imaging Spectroradiometer (MODIS) instruments into the operational domain. VIIRS provides a continuation of global environment monitoring for Land, Ocean, Cloud, and Atmosphere. The high quality observations and derived products generated from VIIRS have been used to improve operational environmental forecast skills and enhance our understanding of climate change processes. Since S-NPP successfully launched in October 2011, NOAA STAR science teams have been focused on maintaining, development, calibration/validation, and upgrade of the VIIRS algorithms. By far, most of the S-NPP VIIRS sensor and environmental data products have been fully validated and characterized through rigorous cal/val review process. The validated science algorithms are now used for reprocessing of the entire S-NPP mission lifetime of the VIIRS data product records. This paper presents an insight into these processes with examples of science data products operationally available from the S-NPP VIIRS Instrument. In addition, plans and preparations towards JPSS-1 launch and pre-operational evaluation JPSS-1 algorithms and product performance using proxy and Thermal Vacuum measurements are presented.

Monitoring the atmospheric environment with Joint Polar Satellite System (JPSS) remote sensing data products

Todays rapidly increasing environment satellite observations brought unprecedented opportunities for monitoring the earth environments with remote sensing measurement. The Joint Polar Satellite System (JPSS) is the National Oceanic and Atmospheric Administrations (NOAA) next generation polar satellite program that provides global environmental remote sensing of weather, climate and other environmental applications. The Suomi National Polar-orbiting Partnership (S-NPP) satellite launched in October 2011 was the first satellite designed to bridge into the future JPSS constellation. The data products produced from the S-NPP/JPSS satellites provide critical observations for accurate weather forecasting, reliable severe storm outlooks, and global measurements of atmospheric and oceanic conditions such as sea surface temperatures, ocean color, ozone and other trace gases, aerosol, clouds, temperature and moisture profiles, wind speeds, land surface properties, snow and ice covers, etc. S-NPP/JPSS products provides critical support to NOAAs ecosystems, climate, weather, and water mission goals through numerous operational applications, including weather and climate modeling and prediction, fisheries management; ecosystem monitoring and management; and understanding ocean dynamics and climate variability. This paper will provide insight into the Suomi National Polar-orbiting Partnership (S-NPP) data products and their applications for environment monitoring. Specifically, the presentation will be focused on the advanced data products derived from the Cross-track Infrared Sounder (CrIS) measurements, Cal/Val status, products performance, and their applications for monitoring the atmospheric variability.

Validation of AIRS and IASI Temperature and Water Vapor Retrievals with Global Radiosonde Measurements and Model Forecasts

Atmospheric temperature and water vapor profiles retrieved from the Aqua-Atmospheric Infrared Sounder instrument and the MetOp-Infrared Atmospheric Sounding Interferometer instrument are validated with global radiosonde measurements and forecasts.

Intercomparison of AIRS Ozone Profiles and Total Ozone Retrievals with Matched Ozonesonde Measurements and ECMWF Forecast Data

An evaluation of the ozone profiles and the total ozone retrievals from the Atmospheric Infrared Sounder data is performed using matched World Ozone and Ultraviolet Radiation Data Center global ozonesonde profiles and total ozone measurements.