Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad Timescales
The Outgoing Longwave Radiation (OLR) package was first developed as a stand-alone application, and then integrated into the National Oceanic and Atmospheric Administration (NOAA) Unique Combined Atmospheric Processing System (NUCAPS) hyperspectral sounding retrieval system. An objective of this pac...
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| Format: | Article |
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MDPI AG
2021-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/19/3912 |
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| author | Tianyuan Wang Lihang Zhou Changyi Tan Murty Divakarla Ken Pryor Juying Warner Zigang Wei Mitch Goldberg Nicholas R. Nalli |
| author_facet | Tianyuan Wang Lihang Zhou Changyi Tan Murty Divakarla Ken Pryor Juying Warner Zigang Wei Mitch Goldberg Nicholas R. Nalli |
| author_sort | Tianyuan Wang |
| collection | DOAJ |
| description | The Outgoing Longwave Radiation (OLR) package was first developed as a stand-alone application, and then integrated into the National Oceanic and Atmospheric Administration (NOAA) Unique Combined Atmospheric Processing System (NUCAPS) hyperspectral sounding retrieval system. An objective of this package is to provide near-real-time OLR products derived from the Cross Track Infrared Sounder (CrIS) onboard the Joint Polar Satellite System (JPSS) satellites. It was initially developed and validated with CrIS onboard the Suomi National Polar-orbiting Partnership (SNPP) satellite, and has been expanded to JPSS-1 (renamed NOAA-20 after launch) datasets that are currently available to the public. In this paper, we provide the results of detailed validation tests with NOAA-20 CrIS for large and wide representative conditions at a global scale. In our validation tests, the observations from Clouds and Earth’s Radiant Energy System (CERES) on Aqua were treated as the absolute reference or “truth”, and those from SNPP CrIS OLR were used as the transfer standard. The tests were performed on a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>°</mo><mo>×</mo><mn>1</mn><mo>°</mo></mrow></semantics></math></inline-formula> global spatial grid over daily, monthly, and yearly timescales. We find that the CrIS OLR products from NOAA-20 agree exceptionally well with those from Aqua CERES and SNPP CrIS OLR products in all conditions: the daily bias is within <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>±</mo><mn>0.6</mn></mrow></semantics></math></inline-formula> Wm<sup>−2</sup>, and the standard deviation (STD) ranges from 4.88 to 9.1 Wm<sup>−2</sup>. The bias and the STD of OLR monthly mean are better, within 0.3 and 2.0 Wm<sup>−2</sup>, respectively. These findings demonstrate the consistency between NOAA-20 and SNPP CrIS OLR up to annual scales, and the robustness of NUCAPS CrIS OLR products. |
| first_indexed | 2024-03-10T06:53:00Z |
| format | Article |
| id | doaj.art-6bfdbca83f8f40a492c1ff5557f51fa5 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T06:53:00Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-6bfdbca83f8f40a492c1ff5557f51fa52023-11-22T16:42:43ZengMDPI AGRemote Sensing2072-42922021-09-011319391210.3390/rs13193912Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad TimescalesTianyuan Wang0Lihang Zhou1Changyi Tan2Murty Divakarla3Ken Pryor4Juying Warner5Zigang Wei6Mitch Goldberg7Nicholas R. Nalli8IMSG, Inc. at NOAA/NESDIS Center for Satellite Applications and Research (STAR), College Park, MD 20740, USANOAA JPSS Program Office, Lanham, MD 20706, USAIMSG, Inc. at NOAA/NESDIS Center for Satellite Applications and Research (STAR), College Park, MD 20740, USAIMSG, Inc. at NOAA/NESDIS Center for Satellite Applications and Research (STAR), College Park, MD 20740, USANOAA/NESDIS/STAR, College Park, MD 20740, USADepartment of Atmospheric and Oceanic Science, UMD, College Park, MD 20740, USAIMSG, Inc. at NOAA/NESDIS Center for Satellite Applications and Research (STAR), College Park, MD 20740, USANOAA JPSS Program Office, Lanham, MD 20706, USAIMSG, Inc. at NOAA/NESDIS Center for Satellite Applications and Research (STAR), College Park, MD 20740, USAThe Outgoing Longwave Radiation (OLR) package was first developed as a stand-alone application, and then integrated into the National Oceanic and Atmospheric Administration (NOAA) Unique Combined Atmospheric Processing System (NUCAPS) hyperspectral sounding retrieval system. An objective of this package is to provide near-real-time OLR products derived from the Cross Track Infrared Sounder (CrIS) onboard the Joint Polar Satellite System (JPSS) satellites. It was initially developed and validated with CrIS onboard the Suomi National Polar-orbiting Partnership (SNPP) satellite, and has been expanded to JPSS-1 (renamed NOAA-20 after launch) datasets that are currently available to the public. In this paper, we provide the results of detailed validation tests with NOAA-20 CrIS for large and wide representative conditions at a global scale. In our validation tests, the observations from Clouds and Earth’s Radiant Energy System (CERES) on Aqua were treated as the absolute reference or “truth”, and those from SNPP CrIS OLR were used as the transfer standard. The tests were performed on a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>°</mo><mo>×</mo><mn>1</mn><mo>°</mo></mrow></semantics></math></inline-formula> global spatial grid over daily, monthly, and yearly timescales. We find that the CrIS OLR products from NOAA-20 agree exceptionally well with those from Aqua CERES and SNPP CrIS OLR products in all conditions: the daily bias is within <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>±</mo><mn>0.6</mn></mrow></semantics></math></inline-formula> Wm<sup>−2</sup>, and the standard deviation (STD) ranges from 4.88 to 9.1 Wm<sup>−2</sup>. The bias and the STD of OLR monthly mean are better, within 0.3 and 2.0 Wm<sup>−2</sup>, respectively. These findings demonstrate the consistency between NOAA-20 and SNPP CrIS OLR up to annual scales, and the robustness of NUCAPS CrIS OLR products.https://www.mdpi.com/2072-4292/13/19/3912outgoing longwave radiationOLRNUCAPSCrISNOAA-20validation |
| spellingShingle | Tianyuan Wang Lihang Zhou Changyi Tan Murty Divakarla Ken Pryor Juying Warner Zigang Wei Mitch Goldberg Nicholas R. Nalli Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad Timescales Remote Sensing outgoing longwave radiation OLR NUCAPS CrIS NOAA-20 validation |
| title | Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad Timescales |
| title_full | Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad Timescales |
| title_fullStr | Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad Timescales |
| title_full_unstemmed | Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad Timescales |
| title_short | Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad Timescales |
| title_sort | validation of near real time noaa 20 cris outgoing longwave radiation with multi satellite datasets on broad timescales |
| topic | outgoing longwave radiation OLR NUCAPS CrIS NOAA-20 validation |
| url | https://www.mdpi.com/2072-4292/13/19/3912 |
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