CAMELS Extended NLDAS Forcing Data
| Authors: | |
|---|---|
| Owners: | Frederik Kratzert |
| Type: | Resource |
| Storage: | The size of this resource is 107.7 MB |
| Created: | Dec 24, 2019 at 12:51 p.m. |
| Last updated: | Dec 24, 2019 at 1:06 p.m. (Metadata update) |
| Published date: | Dec 24, 2019 at 1:06 p.m. |
| DOI: | 10.4211/hs.0a68bfd7ddf642a8be9041d60f40868c |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
|---|---|
| Views: | 3034 |
| Downloads: | 748 |
| +1 Votes: | 1 other +1 this |
| Comments: | No comments (yet) |
Abstract
This repository contains drop-in replacements for the basin mean NLDAS forcing data files of the CAMELS data set. Compared to the original files contained in the CAMELS data set, these files contain daily minimum and maximum temperature. In the original publications both of those variables contained the daily mean temperature. These files were generated for our HESS manuscript "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning" and were derived from hourly NLDAS data.
The same TERMS OF USE apply as for the original CAMELS data set.
The same terms of use as of the original CAMELS data set apply here.
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
48.2950°
East Longitude
-62.2497°
South Latitude
24.6232°
West Longitude
-127.1129°
Temporal
| Start Date: | 01/01/1980 |
|---|---|
| End Date: | 12/31/2014 |
Leaflet Map data © OpenStreetMap contributors
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
Related Resources
| This resource is referenced by | A. J. Newman, M. P. Clark, K. Sampson, A. Wood, L. E. Hay, A. Bock, R. J. Viger, D. Blodgett, L. Brekke, J. R. Arnold, T. Hopson, and Q. Duan: Development of a large-sample watershed-scale hydrometeorological dataset for the contiguous USA: dataset characteristics and assessment of regional variability in hydrologic model performance. Hydrol. Earth Syst. Sci., 19, 209-223, doi:10.5194/hess-19-209-2015, 2015A. J. Newman, M. P. Clark, K. Sampson, A. Wood, L. E. Hay, A. Bock, R. J. Viger, D. Blodge |
| This resource is referenced by | Kratzert, F., Klotz, D., Herrnegger, M., Sampson, A. K., Hochreiter, S., & Nearing, G. S. ( 2019). Toward improved predictions in ungauged basins: Exploiting the power of machine learning. Water Resources Research, 55. https://doi.org/10.1029/2019WR026065 |
How to Cite
Kratzert, F. (2019). CAMELS Extended NLDAS Forcing Data, HydroShare, https://doi.org/10.4211/hs.0a68bfd7ddf642a8be9041d60f40868c
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment