卫星遥感与数据处理 (Satellite Remote Sensing & Data Processing)

精通度

精通

描述

• Sentinel-5P/TROPOMI L2 产品处理（CH4）
• MODIS 与 CALIPSO 联合反演
• DSCOVR 单点光曲线数据处理
• 数据格式：netCDF、HDF5
• 空间数据处理：QA 过滤、空间重映射、KD-tree 索引、网格化聚合
• 与地面排放清单（如 EPA）的对标验证

🌟 研究级 signature capabilities

MODIS+CALIPSO joint retrieval signatures (本科毕业论文, 2021-2022)

• First iteratively-coupled MODIS+CALIPSO algorithm (不是 single-satellite 或 ad-hoc combination)
• CALIPSO L2 non-physical bug catch + 修正: -10⁴ km⁻¹ negatives → 修正到 0-0.2 km⁻¹ 合理范围
• 4 Beijing case study: absolute AOD error ↓ 0.011-0.032, relative ↓ 3-20% (vs single-satellite baseline)
• Lab scaffolding under Jing-Li-李婧 with collaborator support on Fernald math, MODIS, and tutorials, plus Caltech bridge via Yuk-Yung

DSCOVR single-point Earth retrieval signatures (本科, 2021-2022)

• L1 → L2 光曲线 time series processing (remote workstation bootstrap)
• Inverse problem regularization (4 methods compared, 见 MCMC-贝叶斯反演 + Caltech 4 贡献 in Caltech-DSCOVR-Research)

TROPOMI methane signatures (PhD, 2023-2024)

• Vernier caliper aggregated precision discovery: np.unique(lats/lons) 9.76e-5° ≈ 10.87m effective precision (raw ~5.5×3.5 km pixel)
• Negative-slope regression inversion diagnosis + density+quantile reformulation (Nebraska R²=0.633)
• Texas puzzle resolved via free-roaming hypothesis (advisor input from Inez-Fung)

方法论 concept 页

• Inconvenient Evidence Retention Discipline (private)
• Multi-Method-Comparison-Spine

在哪些经历中用到

• — TROPOMI CH4 管线
• PKU-Undergraduate-Research — MODIS/CALIPSO 联合反演、DSCOVR 数据
• PKU-Aerosol-Senior-Thesis — MODIS+CALIPSO first joint iteratively-coupled
• Caltech-DSCOVR-Research — DSCOVR single-point

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