Data Release: The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions

This data release contains model input and output data associated with a published report (The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions [Moeser, Broxton and Harpold, 2019]) where specific descriptions of the data can be found. The input data are derived from pre- and post-fire aerial LiDAR acquired in June 2010 and May 2012 respectively, for a small basin in the Jemez Mountains, northern, New Mexico. Data were process (analyzed?) to represent forest canopy characteristics pre- and post-fire. These characteristics include, (1) canopy closure, (2) edginess to the north, (3) edginess to the south, (4) leaf area index, (5) maximum tree height, (6) mean distance to canopy, (7) mean tree height, and (8) total gap area. Output includes Snow Water Equivalent (SWE) estimates from the SnowPALM model for pre- and post-fire conditions on a daily timestep between the 1st of September 1981 to the 31st of August 2018. All data are in a gridded format where the lower left hand corner is located at 3979325 north, and 371710 east in UTM Zone 13N with a map datum of NAD83. The grid is comprised of 1000 rows by 1100 columns with a grid cell size of 1m for a total domain size of 1.0km x 1.1km.