ELITE emissivity: Himawari-8/AHI daily 0.02° NBE (2020)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the Himawari-8/AHI daily 0.02° NBE produced from the hourly clear-sky NBE dataset derived by the iTES algorithm (Zhou and Cheng, 2020). The bias and RMSE of the retrieved hourly NBE are less than 0.005 and 0.014, respectively, compared with the latest MYD21 LSE. The temporal resolution and spatial resolution of this dataset are daily and 0.02°, respectively.</p> <p>This is the ELITE Himawari-8/AHI NBE product in 2020. Please <a href="https://zenodo.org/record/7316873"><strong><em>click here</em></strong></a> to download the ELITE NBE product in 2019 and <a href="https://zenodo.org/record/7281765"><strong><em>click here</em></strong></a> to download the ELITE NBE product in 2021.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: AHI 0.02° nominal fixed grid (60°N∼60°S, 80°E∼160°W)</li> <li>Temporal Coverage: 2020</li> <li>Spatial Resolution: 0.02°</li> <li>Temporal Resolution: daily</li> <li>Data Format: HDF</li> <li>Scale: 0.001</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. IEEE Transactions on Geoscience and Remote Sensing, 58(10), 7105-7124.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 4
- Engagement
- 0