Validation of Atmospheric Profile Retrievals from the SNPP NOAA-Unique Combined Atmospheric Processing System. Part 2: Ozone
| Autor: | Changyi Tan, M. I. Oyola, Flavio Iturbide-Sanchez, Quanhua Liu, Christopher D. Barnet, Antonia Gambacorta, Nicholas R. Nalli, Vernon R. Morris, Jonathan W. Smith, Everette Joseph |
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| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Meteorology 0211 other engineering and technologies 02 engineering and technology Atmospheric model Numerical weather prediction 01 natural sciences Trace gas law.invention Depth sounding law Ozone layer Radiance Radiosonde General Earth and Planetary Sciences Environmental science Satellite Electrical and Electronic Engineering 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IEEE Transactions on Geoscience and Remote Sensing. 56:598-607 |
| ISSN: | 1558-0644 0196-2892 |
| Popis: | This paper continues an overview of the validation of operational profile retrievals from the Suomi National Polar-Orbiting Partnership (SNPP), with focus here given to the infrared (IR) ozone profile environmental data record (EDR) product. The SNPP IR ozone profile EDR is retrieved using the cross-track IR sounder (CrIS), a Fourier transform spectrometer that measures high-resolution IR earth radiance spectra containing atmospheric state information, namely, vertical profiles of temperature, moisture, and trace gas constituents. The SNPP CrIS serves as the U.S. low earth orbit (LEO) satellite IR sounding system and will be featured on future Joint Polar Satellite System (JPSS) LEO satellites. The operational sounding algorithm is the National Oceanic and Atmospheric Administration-Unique Combined Atmospheric Processing System (NUCAPS), a legacy sounder science team algorithm that retrieves atmospheric profile EDR products, including ozone and carbon trace gases, with optimal vertical resolution under nonprecipitating (clear to partly cloudy) conditions. The NUCAPS ozone profile product is assessed in this paper using extensive global $in\;situ$ truth data sets, namely, ozonesonde observations launched from ground-based networks and from ocean-based intensive field campaigns, along with numerical weather prediction model output. Based upon rigorous statistical analyses using these data sets, the NUCAPS ozone profile EDRs are determined to meet the JPSS Level 1 global performance requirements. |
| Databáze: | OpenAIRE |
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