{"title":"Simulation of the Longwave Radiance Tendency on Sea Surface Temperature Observed From Moon-Based Platform","authors":"Yuhan Wei;Guoqiang Chen;Mingyang Lv;Wenhui Wan;Dan Song;Pei Tan;Huadong Guo","doi":"10.1109/LGRS.2026.3694023","DOIUrl":null,"url":null,"abstract":"Longwave radiance (LWR), a fundamental measure of Earth’s thermal radiation, serves as a key indicator of global climate change. A future Moon-based radiation observatory (MBRO), characterized by stable orbital configuration, unique spatial environment, and etc., facilitates the acquisition of LWR data and underpins associated climate research. This study has developed a model to simulate earth LWR observed from Moon and corresponding coefficient of determination (R<inline-formula> <tex-math>${}^{\\mathbf {2}}$ </tex-math></inline-formula>) with sea surface temperature (SST) in critical zone, utilizing outgoing longwave radiation (OLR) based on CERES Edition 4 ADMs, and MCD12C1 data. Results show 1) relatively small monthly variations standard deviation ~0.5 W/(m<inline-formula> <tex-math>${}^{\\mathbf {2}}{\\,}\\cdot $ </tex-math></inline-formula> sr) and stable, periodic interannual fluctuations ranging from approximately 70.5–80.5 W/(m<inline-formula> <tex-math>${}^{\\mathbf {2}}~\\cdot $ </tex-math></inline-formula> sr); 2) the ocean contribute the largest share (~70%) to earth’s total LWR; 3) long-term data from 2004 to 2022 has no significant trend in global LWR; and 4) R<inline-formula> <tex-math>${}^{\\mathbf {2}}$ </tex-math></inline-formula> between SST and global oceanic LWR exhibits a distinct zonal distribution pattern. During El Niño events, R<inline-formula> <tex-math>${}^{\\mathbf {2}}$ </tex-math></inline-formula> in affected regions varied synchronously with event intensity, exhibiting a proportional relationship between event strength and the magnitude of R<inline-formula> <tex-math>${}^{\\mathbf {2}}$ </tex-math></inline-formula> enhancement. In general, this study lays a foundation and a novel approach for interpreting earth radiation features in future missions.","PeriodicalId":91017,"journal":{"name":"IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society","volume":"23 ","pages":"1503305-1503305"},"PeriodicalIF":4.4000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11523018/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/19 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Longwave radiance (LWR), a fundamental measure of Earth’s thermal radiation, serves as a key indicator of global climate change. A future Moon-based radiation observatory (MBRO), characterized by stable orbital configuration, unique spatial environment, and etc., facilitates the acquisition of LWR data and underpins associated climate research. This study has developed a model to simulate earth LWR observed from Moon and corresponding coefficient of determination (R${}^{\mathbf {2}}$ ) with sea surface temperature (SST) in critical zone, utilizing outgoing longwave radiation (OLR) based on CERES Edition 4 ADMs, and MCD12C1 data. Results show 1) relatively small monthly variations standard deviation ~0.5 W/(m${}^{\mathbf {2}}{\,}\cdot $ sr) and stable, periodic interannual fluctuations ranging from approximately 70.5–80.5 W/(m${}^{\mathbf {2}}~\cdot $ sr); 2) the ocean contribute the largest share (~70%) to earth’s total LWR; 3) long-term data from 2004 to 2022 has no significant trend in global LWR; and 4) R${}^{\mathbf {2}}$ between SST and global oceanic LWR exhibits a distinct zonal distribution pattern. During El Niño events, R${}^{\mathbf {2}}$ in affected regions varied synchronously with event intensity, exhibiting a proportional relationship between event strength and the magnitude of R${}^{\mathbf {2}}$ enhancement. In general, this study lays a foundation and a novel approach for interpreting earth radiation features in future missions.