COG files for Ma et al. 2025 random forest water table depth and uncertainty at the 1 arcsec resolution

A copy of the ma_2025 30m dataset stored as a COG (Cloud Optimized Geotiff). You can download the full WTD COG file using hf_hydrodata.get_raw_file(). See the linked Python API Reference for example syntax.

Dataset Name: ma_2025_cog

Data Source: ma_2025

Citations:

Please refer to the following citations for more information on this dataset and cite them if you use the data

Extent and Resolution:

  • Available Date Range:

  • Grid: conus2_wtd.30

    • Spacial Resolution: 24.14076631 meters

    • XY Grid Spacial Extent: 246056 x 144287

    • LatLon Spacial Exent: -126.88755692881833, 21.8170599154073, -64.7677149695924, 53.20274381640737

    • Origin (meters): -2848561.29, -1724573.11

    • Projection: +proj=lcc +lat_1=30 +lat_2=60 +lon_0=-97.0 +lat_0=40.0000076294444 +a=6370000.0 +b=6370000

Variables

This describes the available variables of the dataset. Use the dataset, variables and temporal_resolution in python access functions as described in the Working with Gridded Data, and Working with Point Observations.

Subsurface Variables

variable

description

temporal_resolution

units

grid

3D

wtd_uncertainty

Uncertainty in water table depth estimation from a random forest model

static

m

conus2_wtd.30

no

water_table_depth

Water table depth

static

m

conus2_wtd.30

no