paper
2022
Observations & remote sensing
Climate analysis & attribution Benchmark or dataset
Classical ML (trees, GP, linear, kernels) Journal
2022-08-03
012
Aug 2022
Xueying Zhang, Xu Dong, Jing Zeng et al.
Journal of Climate
Neural network reconstructs a monthly 0.05° Antarctic air temperature product from MODIS and 119 stations, with MAE 2.23 °C and better agreement with in situ data than ERA5.
Spatiotemporal Reconstruction of Antarctic Near-Surface Air Temperature from MODIS Observations
In one sentence. Neural network reconstructs a monthly 0.05° Antarctic air temperature product from MODIS and 119 stations, with MAE 2.23 °C and better agreement with in situ data than ERA5.
Labels
- Topic
- Observations & remote sensing, Climate analysis & attribution
- Type
- Benchmark or dataset
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Satellite, Station / in-situ, ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1175/jcli-d-21-0786.1 OpenAlex:W4289667056
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.