遇见数据集

Bias-Corrected Spatially Downscaled CESM2-LE Climate Projections Dataset for the Southeastern United States (1980 - 2050)

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Gulf Research Initiative2026-06-03 收录
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This dataset provides daily climate projections for the Southeastern United States (SEUS) at a 0.25-degree spatial resolution. The dataset extent to latitudes 21.0°N to 36.5°N and longitudes 261.0°E to 282.5°E (equivalent to 99.0°W to 77.5°W in standard longitude). The dataset is derived from the Community Earth System Model version 2 Large Ensemble (CESM2-LE) (Rodger et al., 2021), and is for the period 1980 to 2050, including 10 ensemble members. The dataset has been statistically downscaled using the Bias-Correction Spatial Disaggregation (BCSD) method, adapted from Thrasher et al. (2022). For bias correction, ERA5 reanalysis data (1980–2014) were used as the observational reference, applying Cumulative Distribution Function (CDF) matching with a ±15-day moving window. For precipitation, the North American Regional Reanalysis (NARR) dataset (Mesinger et al., 2006) served as the reference. The dataset includes eight key climate variables: temperature: TS (surface temperature), TSMN (daily minimum temperature), TSMX (daily maximum temperature), precipitation: PRECT (daily total precipitation), radiation: FSDS (downward shortwave radiation), FLDS (downward longwave radiation), humidity: RHREFHT (relative humidity at reference height), and wind Speed: WSPDSRFAV (surface wind speed, averaged). All data are provided in NetCDF format. A distinguishing feature of this dataset is its inclusion of both land and adjacent ocean regions, in contrast to the land-only downscaled datasets presented in Thrasher et al. (2022). This makes it particularly suitable for coastal impact studies, marine resource management, and regional climate adaptation planning in the SEUS. References 1. Mesinger, F., DiMego, G., Kalnay, E., Mitchell, K., Shafran, P. C., Ebisuzaki, W., ... & Shi, W. (2006). North American regional reanalysis. Bulletin of the American Meteorological Society, 87(3), 343-360. 2. Rodgers, K. B., Lee, S. S., Rosenbloom, N., Timmermann, A., Danabasoglu, G., Deser, C., ... & Yeager, S. G. (2021). Ubiquity of human-induced changes in climate variability. Earth System Dynamics, 12(4), 1393-1411. 3. Thrasher, B., Wang, W., Michaelis, A., Melton, F., Lee, T., & Nemani, R. (2022). NASA global daily downscaled projections, CMIP6. Scientific data, 9(1), 262.

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