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Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data

机译：应用机器学习方法使用地静止运营环境卫星-16（GOY-16）高级基线成像器（ABI）数据检测对流

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Yoonjin Lee; Christian D. Kummerow; Imme Ebert-Uphoff;
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年度 2021
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1. Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data [J] . Lee Yoonjin, Kummerow Christian D., Ebert-Uphoff Imme Atmospheric Measurement Techniques . 2021,第4期

机译：应用机器学习方法使用地静止运营环境卫星-16（GOVE-16）高级基线成像器（ABI）数据检测对流
2. Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data [J] . Lee Yoonjin, Kummerow Christian D., Ebert-Uphoff Imme Atmospheric Measurement Techniques Discussions . 2021,第4期

机译：应用机器学习方法使用地静止运营环境卫星-16（GOVE-16）高级基线成像器（ABI）数据检测对流
3. Reviews and syntheses: Ongoing and emerging opportunities to improve environmental science using observations from the Advanced Baseline Imager on the Geostationary Operational Environmental Satellites [J] . Khan Anam M., Stoy Paul C., Douglas James T., Biogeosciences Discussions . 2021,第13期

机译：评论和综合：持续和新兴机会，通过在地球静止运营环境卫星上的高级基线成像仪中改善环境科学的机会
4. Advanced Baseline Imager (ABI) for future Geostationary Operational Environmental Satellites (GOES-R and beyond) [C] . Timothy J. Schmit, Jun Li, W. P. Menzel SPIE Conference on Applications with Weather Satellites . 2003

机译：用于未来的地球静止运营环境卫星的高级基线成像仪（ABI）（GOY-R及以后）
5. Using GOES-16 ABI Data to Detect Convection, Estimate Latent Heating, and Initiate Convection in a High Resolution Model [D] . Lee, Yoonjin. 2021

机译：使用GOAD-16 ABI数据检测对流，估计潜加热，并在高分辨率模型中启动对流
6. Assessment of associations between clinical and immune microenvironmental factors and tumor mutation burden in resected nonsmall cell lung cancer by applying machine learning to whole‐slide images [O] . Akira Ono, Yukihiro Terada, Takuya Kawata, 2020

机译：通过将机器学习应用于整张幻灯片图像评估切除的非小细胞肺癌的临床和免疫微环境因素与肿瘤突变负担之间的关联
7. Geostationary Operational Environmental Satellite-R series advanced baseline imagery artifacts [O] . Mathew M. Gunshor, Timothy J. Schmit, David Pogorzala, 2020

机译：地球静止运营环境卫星-R系列高级基线图像伪影
8. Image Navigation and Registration (INR) Performance Assessment Tool Set (IPATS) for the GOES-R Advanced Baseline Imager and Geostationary Lightning Mapper. [R] . DeLuccia, F. J., Houchin, S., Porter, B. C., 2016

机译：用于GOEs-R高级基线成像仪和地球静止闪电映射器的图像导航和注册（INR）性能评估工具集（IpaTs）。

Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data

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