Simulated dataset with air temperature, precipitation, ET, soil water content (4 layers) and soil temperature (4 layers) at a daily time scale (1980-2012) for ten 4 by 4 km grids across the U.S. Midwest. NASA's Land Information System (LIS) v6.0 was used as the land data assimilation system with Noah LSM v3.3 as the land model. Further detail on the development of the dataset is available in Niyogi et al. (2017). Please contact Elin Jacobs (ekarlsso [at] purdue.edu) with questions regarding this dataset.
Niyogi, D., E. M. Jacobs, X. Liu, A. Kumar, L. Biehl, and P. S. C. Rao (2017), Assessment of a long-term high-resolution hydroclimatic dataset for the U.S. Midwest, Earth Interact., 21(4), 1–31, doi:10.1175/EI-D-16-0022.1.
Cite this work
Researchers should cite this work as follows:
- Elin M Jacobs (2019). LIS-Noah daily hydroclimatic dataset for ten U.S. Midwest sites 1980-2012. (Version 2.0). Purdue University Research Repository. doi:10.4231/806P-DA90
Version 2.0 includes data that were missing from some sites and variables.