{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T03:21:36Z","timestamp":1772248896960,"version":"3.50.1"},"reference-count":29,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2018,8,21]],"date-time":"2018-08-21T00:00:00Z","timestamp":1534809600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000192","name":"National Oceanic and Atmospheric Administration","doi-asserted-by":"publisher","award":["NA14NES432003"],"award-info":[{"award-number":["NA14NES432003"]}],"id":[{"id":"10.13039\/100000192","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study describes the development of a new globally gridded climate data record (CDR) for daily outgoing longwave radiation (OLR) using the High-Resolution Infrared Radiation Sounder (HIRS) sensor. The new product, hereafter referred to as HIRS OLR, has several differences and advantages over the widely-used daily OLR dataset derived from the Advanced Very High-Resolution Radiometer (AVHRR) sensor on the same NOAA Polar Operational Environmental Satellites (POES), hereafter AVHRR OLR. As a CDR, HIRS OLR has been intersatellite-calibrated to provide the most homogeneous record possible. AVHRR OLR only used the daytime and nighttime overpasses from a single satellite at a time, which creates some challenges for resolving the large diurnal cycle of OLR. HIRS OLR leverages all available overpasses and then calibrates geostationary estimates of OLR to represent that cycle more faithfully. HIRS also has more spectral channels, including those for measuring water vapor, which provides a more accurate measure of OLR. This difference is particularly relevant for large-scale convective systems such as the El Ni\u00f1o\u2013Southern Oscillation and the Madden\u2013Julian Oscillation, whereby the HIRS OLR can better identify the subtropical variability between the tropical convection and the extratropical teleconnections.<\/jats:p>","DOI":"10.3390\/rs10091325","type":"journal-article","created":{"date-parts":[[2018,8,21]],"date-time":"2018-08-21T11:12:42Z","timestamp":1534849962000},"page":"1325","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["HIRS Outgoing Longwave Radiation\u2014Daily Climate Data Record: Application toward Identifying Tropical Subseasonal Variability"],"prefix":"10.3390","volume":"10","author":[{"suffix":"III","given":"Carl J.","family":"Schreck","sequence":"first","affiliation":[{"name":"North Carolina Institute for Climate Studies (NCICS)\/Cooperative Institute for Climate and Satellites\u2014NC (CICS-NC), North Carolina State University, Asheville, NC 28801, USA"}]},{"given":"Hai-Tien","family":"Lee","sequence":"additional","affiliation":[{"name":"Earth System Science Interdisciplinary Center (ESSIC)\/Cooperative Institute for Climate and Satellites\u2014MD (CICS-MD), University of Maryland, College Park, MD 20740, USA"}]},{"given":"Kenneth R.","family":"Knapp","sequence":"additional","affiliation":[{"name":"NOAA\u2019s National Centers for Environmental Information (NCEI), Asheville, NC 28801, USA"}]}],"member":"1968","published-online":{"date-parts":[[2018,8,21]]},"reference":[{"key":"ref_1","first-page":"1275","article-title":"Description of a complete (interpolated) outgoing longwave radiation dataset","volume":"77","author":"Liebmann","year":"1996","journal-title":"Bull. 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