Validation of Near-Real-Time NOAA-20 CrIS Outgoing Longwave Radiation with Multi-Satellite Datasets on Broad Timescales

Autor:	Changyi Tan, Murty Divakarla, Kenneth L. Pryor, Nicholas R. Nalli, Tianyuan Wang, Mitchell D. Goldberg, Juying Warner, Lihang Zhou, Zigang Wei
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	validation outgoing longwave radiation Science Hyperspectral imaging OLR Satellite system NUCAPS CrIS NOAA-20 radiation budget Standard deviation Depth sounding Radiation budget General Earth and Planetary Sciences Environmental science Outgoing longwave radiation Satellite Remote sensing
Zdroj:	Remote Sensing, Vol 13, Iss 3912, p 3912 (2021) Remote Sensing; Volume 13; Issue 19; Pages: 3912
ISSN:	2072-4292
Popis:	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 1°×1° 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 ±0.6 Wm−2, and the standard deviation (STD) ranges from 4.88 to 9.1 Wm−2. The bias and the STD of OLR monthly mean are better, within 0.3 and 2.0 Wm−2, 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84d65f56e49c7741cb082492f9648e7e https://www.mdpi.com/2072-4292/13/19/3912 Zobrazit plný text záznamu