Modification and validation of a new method to improve the accuracy of MODIS-derived dew point temperature over mainland China
文献类型：期刊论文
| 作者 | Zhu, Wenbin2,3,4; Cao, Mei1,2 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2023-12-31 |
| 卷号 | 16期号:1页码:3513-3535 |
| ISSN号 | 1753-8947 |
| 关键词 | Dew point temperature relative humidity atmospheric profiles MODIS remote sensing |
| DOI | 10.1080/17538947.2023.2251941 |
| 通讯作者 | Zhu, Wenbin(zhuwb@igsnrr.ac.cn) |
| 英文摘要 | MODIS atmospheric profile products (MOD07_L2 and MYD07_L2) have been widely used for near-surface dew point temperature ( T d ) estimation. However, their accuracy over large scale has seldom been evaluated. In this study, we validated these two products comprehensively against 2153 stations over mainland China. MOD07_L2 was suggested by our study because it achieved higher accuracy in either of two frequently-used methods. To be specific, the root-mean-square error (RMSE) achieved by MOD07_L2 and MYD07_L2 was 5.82 and 7.42 & DEG;C, respectively. On this basis, a recent ground-based correction method was modified to further improve their accuracy. Our focus is to investigate whether this ground-based approach is applicable to large-scale remote sensing applications. The results show that this new method showed great potential for T d estimation independently from ground observations. Through the introduction of MODIS land surface products, the RMSE it achieved for MOD07_L2 and MYD07_L2 was 5.23 and 5.59 & DEG;C, respectively. Further analysis shows that it was particularly useful in capturing the annual average T d patterns. The R2 , RMSE, and bias of annual average daily mean T d estimates were 0.95, 1.84 & DEG;C, and 0.53 & DEG;C, and those achieved for annual average instantaneous T d estimates were 0.94, 2.09 & DEG;C, and 0.75 & DEG;C, respectively. |
| WOS关键词 | LAND-SURFACE TEMPERATURES ; MINIMUM AIR-TEMPERATURE ; RELATIVE-HUMIDITY ; DAILY MAXIMUM ; LONGWAVE RADIATION ; EVAPOTRANSPIRATION ; CLOUD ; ECOSYSTEM ; PRODUCT ; VAPOR |
| 资助项目 | We are highly grateful to the MODIS mission scientists and associated NASA personnel for their data support. We also acknowledge the providers of meteorological observations and global aridity index dataset, namely, the China Meteorological Data Service Ce ; Consultative Group for International Agricultural Research-Consortium for Spatial Information |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:001056064200001 |
| 资助机构 | We are highly grateful to the MODIS mission scientists and associated NASA personnel for their data support. We also acknowledge the providers of meteorological observations and global aridity index dataset, namely, the China Meteorological Data Service Ce ; Consultative Group for International Agricultural Research-Consortium for Spatial Information |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196535]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhu, Wenbin |
| 作者单位 | 1.China Univ Geosci, Sch Informat Engn, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 3.Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, 11A, Datun Rd, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Wenbin,Cao, Mei. Modification and validation of a new method to improve the accuracy of MODIS-derived dew point temperature over mainland China[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2023,16(1):3513-3535. |
| APA | Zhu, Wenbin,&Cao, Mei.(2023).Modification and validation of a new method to improve the accuracy of MODIS-derived dew point temperature over mainland China.INTERNATIONAL JOURNAL OF DIGITAL EARTH,16(1),3513-3535. |
| MLA | Zhu, Wenbin,et al."Modification and validation of a new method to improve the accuracy of MODIS-derived dew point temperature over mainland China".INTERNATIONAL JOURNAL OF DIGITAL EARTH 16.1(2023):3513-3535. |
入库方式： OAI收割
来源：地理科学与资源研究所
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