LIS-Noah daily hydroclimatic dataset for ten U.S. Midwest sites 1980-2012

Listed in Datasets

By Elin M Jacobs

Purdue University

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.

Version 2.0 - published on 15 Feb 2019 doi:10.4231/806P-DA90 - cite this Archived on 22 May 2019

Licensed under CC0 1.0 Universal

Description

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:

Tags

Notes

Version 2.0 includes data that were missing from some sites and variables. 

The Purdue University Research Repository (PURR) is a university core research facility provided by the Purdue University Libraries, the Office of the Executive Vice President for Research and Partnerships, and Information Technology at Purdue (ITaP).