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.

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.

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.

This data set contains annual modeled estimates of wildland fire emissions at 0.01 degree (~1-km) spatial resolution from the Wildland Fire Emissions Information System (WFEIS v0.5) for the conterminous U.S. (CONUS) and Alaska for 2001 through 2013. WFEIS is a web-based tool that provides resources to quantify emissions from past fires and output results as spatial data files (French et al., 2014). The data set includes emissions estimates of carbon (C), carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), other non-methane hydrocarbons (NMHC), and particulate matter (PM) as well as estimates of above-ground biomass, total fuel availability, and consumption estimates.

This table provides all the source websites that were used in the dataset for this journal article

This table provides all the source websites that were used in the dataset for this journal article

This data release contains a set of 21st-century burned-area projections to explicitly account for fire-fuel feedbacks in boreal North America for the years 2010 - 2100. Wildfire regimes in the boreal forest biome of North America are vulnerable to shifts in climate, and significant intensifications in area burned are anticipated under many 21st-century global climate model (GCM) projections. However, fire-fuel feedbacks - or how fire-induced vegetation shifts may limit future climate-induced burning - are generally not accounted for in these projections. Such estimates of future fire activity are consequently relatively unconstrained, representing a key source of uncertainty and therefore of limited use in natural-resource management decisions. This data set aims to address these uncertainties with burned-area projections that include fire-fuel feedbacks in the boreal region of North America.

Wildfire effects on Stream discharge and suspended sediments. This dataset is associated with the following publication: Beyene, M.T., S.G. Leibowitz, and M.J. Pennino. Parsing Weather Variability and Wildfire Effects on the Post-Fire Changes in Daily Stream Flows: A Quantile-Based Statistical Approach and Its Application. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 57(10): e2020WR028029, (2021).

Wildfire effects on Stream discharge and suspended sediments. This dataset is associated with the following publication: Beyene, M.T., S.G. Leibowitz, and M.J. Pennino. Parsing Weather Variability and Wildfire Effects on the Post-Fire Changes in Daily Stream Flows: A Quantile-Based Statistical Approach and Its Application. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 57(10): e2020WR028029, (2021).

This dataset is a synthesis of field plot characterization data, derived above-ground and below-ground combusted carbon, and acquired Fire Weather Index (FWI) System components for burned boreal forest sites across Alaska, USA, the Northwest Territories, and Saskatchewan, Canada from 1983-2016. Unburned plot data are also included. Compiled plot-level characterization data include stand age, disturbance history, tree density, and tree biophysical measurements for calculation of the above-ground (ag) and below-ground (bg) biomass/carbon pools, pre-fire and residual post-fire soil organic layer (SOL) depths and estimates of combustion of tree structural classes. The measured slope and aspect for each site and an assigned moisture class based on topography are also provided. Data from 1019 burned and 152 unburned sites are included. From the estimates of combusted ag and bg carbon pools and SOL losses, the total carbon combusted, the proportion of pre-fire carbon combusted, and the proportion of total carbon combusted were calculated for each plot. FWI System components including moisture and drought codes and indices of fire danger were obtained for each plot from existing data sources based on the plot location, year of burn, and a dynamic start-up date (day of burn, DOB) from the global fire weather database. Data for soil characteristics are included in a separate file.