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Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014

机译:2004 - 2014年中国北京,咸庚和兴隆航空网站对北京,咸庚和兴隆航空网站的评价

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摘要

In this study, Terra-MODIS (Moderate Resolution Imaging Spectroradiometer) Collections 6 and 6.1 (C6 & C6.1) aerosol optical depth (AOD) retrievals with the recommended high-quality flag (QF = 3) were retrieved from Dark-Target (DT), Deep-Blue (DB) and merged DT and DB (DTB) level⁻2 AOD products for verification against Aerosol Robotic Network (AERONET) Version 3 Level 2.0 AOD data obtained from 2004⁻2014 for three sites located in the Beijing-Tianjin-Hebei (BTH) region. These are: Beijing, located over mixed bright urban surfaces, XiangHe located over suburban surfaces, and Xinglong located over hilly and vegetated surfaces. The AOD retrievals were also validated over different land-cover types defined by static monthly NDVI (Normalized Difference Vegetation Index) values obtained from the Terra-MODIS level-3 product (MOD13A3). These include non-vegetated surfaces (NVS, NDVI < 0.2), partially vegetated surfaces (PVS, 0.2 ≤ NDVI ≤ 0.3), moderately vegetated surfaces (MVS, 0.3 < NDVI < 0.5) and densely vegetated surfaces (DVS, NDVI ≥ 0.5). Results show that the DT, DB, and DTB-collocated retrievals achieve a high correlation coefficient of ~ 0.90⁻0.97, 0.89⁻0.95, and 0.86⁻0.95, respectively, with AERONET AOD. The DT C6 and C6.1 collocated retrievals were comparable at XiangHe and Xinglong, whereas at Beijing, the percentage of collocated retrievals within the expected error (↔EE) increased from 21.4% to 35.5%, the root mean square error (RMSE) decreased from 0.37 to 0.24, and the relative percent mean error (RPME) decreased from 49% to 27%. These results suggest significant relative improvement in the DT C6.1 product. The percentage of DB-collocated AOD retrievals ↔EE was greater than 70% at Beijing and Xinglong, whereas less than 66% was observed at XiangHe. Similar to DT AOD, DTB AOD retrievals performed well at XiangHe and Xinglong compared with Beijing. Regionally, DB C6 and C6.1-collocated retrievals performed better than DT and DTB in terms of good quality retrievals and relatively small errors. For diverse vegetated surfaces, DT-collocated retrievals reported small errors and good quality retrievals only for NVS and DVS, whereas larger errors were reported for PVS. MVS. DB contains good quality AOD retrievals over PVS, MVS, and DVS compared with NVS. DTB C6.1 collocated retrievals were better than C6 over NVS, PVS, and DVS. C6.1 is substantially improved overall, compared with C6 at local and regional scales, and over diverse vegetated surfaces.
机译:在本研究中,从黑暗目标中检索到RETRA-MODIS(适度分辨率成像分光辐射器)收集6和6.1(C6和C6.1)气溶胶光学深度(AOD)检索,从暗目标中检索推荐的高质量标志(QF = 3)( DT),深蓝色(DB)和合并的DT和DB(DTB)Level⁻2AOD产品用于验证气溶胶机器人网络(AERONET)版本3级2.0 AOD数据从2004年14014获得,适用于北京的三个站点 - 天津 - 河北(BTH)地区。这些是:北京,位于混合明亮的城市表面,咸庚,位于郊区的表面,兴隆位于丘陵和植被的表面。 AOD检索还通过由Terra-ModiS-3产品(Mod13A3)获得的静态每月NDVI(归一化差异植被指数)值定义的不同陆地覆盖类型进行验证。这些包括非植被表面(NVS,NDVI <0.2),部分植被表面(PVS,0.2≤ndvi≤0.3),适度植被表面(MV,0.3

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