Water Year 2026 — Daily GeoTIFFs
File Format
| Format |
GeoTIFF, single band, float32 |
| Resolution |
500 m |
| Projection |
UTM Zone 13N (CO) · UTM Zone 11N (CA) |
| Units |
Meters (SWE and snow depth) |
| No data |
NaN = outside domain · −1 = open water |
| Naming |
SWE_CO_YYYYMMDD.tif / SD_CA_YYYYMMDD.tif |
| Latency |
~2 days (dependent on MODIS availability) |
Citation
Herbert, J. N., Raleigh, M. S., & Small, E. E. (2025).
Using a random forest model to combine airborne lidar and Snotel data for
daily estimates of snow depth across mountain drainage basins of Colorado.
Water Resources Research, 61(8), e2024WR039775.
Herbert, J. N., Raleigh, M. S., & Small, E. E. (in prep).
A machine learning SWE dataset for Colorado and California using in-situ
and lidar data (2001–2025).
For questions contact
jordan.herbert@colorado.edu.