If you don't mind converting your data, then, yes!
The CUAHSI HIS was developed with the specific structure of a time series data in mind. This structure is typical of data from a stream sensor or other observations at a specific location. But what of other data types that are gridded such as precipitation estimates and model results? These data have not been publishable in HIS in the traditional manner, but it is possible to convert such data into the time series structure. There are multiple data sources registered in the HIS Catalog that have utilized such a conversion process; included in these are Multi-Sensor Precipitation Estimates from
National Weather Service River Forecasting Centers as well as
NASA NLDAS data. This approach is described in a recent
Computers & Geosciences article:
John A. McEnery, Paul W. McKee, Gregory P. Shelton, Ryan W. Ramsey,
Hydrologic information server for benchmark precipitation dataset, Computers & Geosciences, Volume 50, January 2013, Pages 145-153, ISSN 0098-3004, 10.1016/j.cageo.2012.08.005.
(
http://www.sciencedirect.com/science/article/pii/S009830041200283X)
The authors demonstrate this technique with NEXRAD radar data , the significance of which is described in the article's abstract:
"Over the past two decades, with the advent of NEXRAD radar, science to measure and record rainfall has improved dramatically. However, much existing data has not been readily available for public access or transferable among the agricultural, engineering and scientific communities. This project takes advantage of the existing CUAHSI Hydrologic Information System ODM model and tools to bridge the gap between data storage and data access, providing an accepted standard interface for internet access to the largest time-series dataset of NEXRAD precipitation data ever assembled."
See below for a few examples of data sources in the HIS Catalog that have used this method:
