rchang0501
commented
1 month ago [1] Ibebuchi, C. C., Lee, C. C., Silva, A., & Sheridan, S. C. (2024). Evaluating apparent temperature in the contiguous United States from four reanalysis products using Artificial Neural Networks. Journal of Geophysical Research: Machine Learning and Computation, 1(2), e2023JH000102. [2] Betts, A. K., Chan, D. Z., & Desjardins, R. L. (2019). Near-surface biases in ERA5 over the Canadian Prairies. Frontiers in Environmental Science, 7, 129. [3] Frank, T., da Silva Junior, C. A., Chutko, K. J., Teodoro, P. E., de Oliveira-Júnior, J. F., & Guo, X. (2022). Is the Gridded Data Accurate? Evaluation of Precipitation and Historical Wet and Dry Periods from ERA5 Data for Canadian Prairies. Remote Sensing, 14(24), 6347. [4] Draeger, C., Radic, V., White, R. H., & Tessema, M. A. (2023). Evaluation of ERA5 and Dynamical Downscaling for Surface Energy Balance Modeling at Mountain Glaciers in Western Canada. [5] Fatolahzadeh Gheysari, A., Maghoul, P., Ojo, E. R., & Shalaby, A. (2024). Reliability of ERA5 and ERA5-Land reanalysis data in the Canadian Prairies. Theoretical and Applied Climatology, 155(4), 3087-3098. [6] Goswami, U. P., Déry, S. J., & Fortin, V. (2024). Performance Evaluation of High-resolution Reanalysis Datasets Over North-central British Columbia. Atmosphere-Ocean, 1-21.
Some features are more accurate in a certain season that in others
e.g. temperature could be more accurate in the summer, but very inaccurate in the winter
Figuring out which of these parameters in which season are more reliable is important before making comparisons