Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 1991 through 2009 based on 800 meter PRISM weather data. Data are a list of points in comma separated text format. Point coordinates are the center of each 1km grid cell.

Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 2010 through 2099 based on numerous downscaled data under several emissions scenarios. GCMs include: BCC, CanESM, CCSM, CESM, CESM-BGC, CMCC, CNRM, Had-CC, Had-ES, and IPSL. RCPs vary from 2.6 to 8.5 depending on run. GCM/RCP combination is listed in the filename. Data are a list of points in comma separated text format. Point coordinates are the center of each 1km grid cell. GCM data from the NASA NEX DCP30 data base

Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized addtitive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pone in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Data are a list of points in comma separated text format. Point coordinates are the center of each 1km grid cell.

Patch-level summary of 8 climatic characteristics at each of 1,865 talus patches across 3 regions in the Rocky Mountains. Dataset notes the year in which the patch was surveyed for pikas, the values of its climatic characteristics (estimated from the ClimateNA dataset), the name of each talus patch, and which of the 3 regions each patch occurs in.

These data consist of environmental covariates and estimated plot-level mortality of ponderosa pine trees. Environmental covariates include growing season temperature and soil moisture, and values are summarized into long-term mean conditions, and anomalies observed between forest inventory sampling events for each plot. Data also include plot locations (with uncertainty introduced by the US Forest Service to maintain private property rights), plot basal area, and several variables related to estimated mortality rate of ponderosa pine trees under various assumptions about basal area conditions.

This data release includes simulation output from SnowModel (Liston and Elder, 2006), a well-validated process-based snow modeling system, and supporting snow, meteorological, and streamflow observations from the water years 2011 through 2015 (October 1, 2010, through September 30, 2015) across a 3,600 square kilometer model domain in the north-central Colorado Rocky Mountains. For each water year, SnowModel simulations were completed for a (1) baseline simulation, (2) bark-beetle disturbance condition simulation, (3) 2016 - 2035 future climate condition simulation (S1), and (4) 2046 - 2065 future climate condition simulation (S2). Sexstone and others (2018) provide details and summarize findings from each of the SnowModel simulations. SnowModel simulation output is stored in NetCDF files that have spatial (100-m grid resolution) and temporal (daily) dimensions. Simulated SnowModel outputs in the attached .zip folders include: snow water equivalent (m), snow depth (m), surface sublimation (m/day), canopy sublimation (m/day), blowing sublimation (m/day), cumulative blowing snow transport (m), precipitation (m/day), air temperature (C), surface temperature (C), relative humidity (%), wind speed (m/s), wind direction (degrees from north). Supporting station observations that were collected and used to evaluate SnowModel simulations are also provided in this data release in comma separated value files. Supporting station observations in the attached .zip folders include: daily mean snow sublimation (mm/day), mean daily snow depth (m), mean hourly air temperature (C), mean hourly relative humidity (%), mean hourly wind speed (m/s), and mean daily streamflow normalized to watershed area (mm). An inventory and description of each of the .zip folders attached to the data release are provided below. The purpose of the model simulations and supporting observations provided in this data release are to improve understanding of the importance of snow sublimation to the water balance of this region (Sexstone and others, 2018). Inventory of data release: Model_Runs_WYxxxx.zip (5 zipped folders): Baseline model simulation output (.nc) and associated FGDC-compliant metadata file (.xml) for water years 2011 through 2015. Each of the 5 zipped folders are labeled with the given water year (WY). Model_Runs_Beetle_WYxxxx.zip (5 zipped folders): Bark-beetle disturbance condition model simulation output (.nc) and associated FGDC-compliant metadata file (.xml) for water years 2011 through 2015. Each of the 5 zipped folders are labeled with the given water year (WY). Model_Runs_Climate_WYxxxx_s1.zip (5 zipped folders): Future climate condition (2016 – 2035) simulation (S1) output (.nc) and associated FGDC-compliant metadata file (.xml) for water years 2011 through 2015. Each of the 5 zipped folders are labeled with the given water year (WY). Model_Runs_Climate_WYxxxx_s2.zip (5 zipped folders): Future climate condition (2046 – 2065) simulation (S2) output (.nc) and associated FGDC-compliant metadata file (.xml) for water years 2011 through 2015. Each of the 5 zipped folders are labeled with the given water year (WY). Supporting_observations_WY2011-WY2015.zip (1 zipped folder) Supporting observations of station observations (.csv) and and associated FGDC-compliant metadata file (.xml) for water years 2011 through 2015. References: Liston, G.E., and Elder, K., 2006, A distributed snow-evolution modeling system (SnowModel): Journal of Hydrometeorology, v. 7, no. 6, p. 1259-1276. Sexstone, G.A., Clow, D.W., Fassnacht, S.R., Liston, G.E., Hiemstra, C.A., Knowles, J.F., and Penn, C.A., 2018, Snow sublimation in mountain environments and its sensitivity to forest disturbance and climate warming, Water Resources Research [URL].

Data includes monthly-average projected changes to climate for a 23-member ensemble of CMIP6 SSP2-4.5 GCMs downscaled using NASA’s Land Information System. Average snow outputs are generated using these climate projections for 20-year periods between 2016 and 2095. More information on this data, and comparisons versus various community snow projections in mountainous regions can be found in Pflug et al. (2024).

This dataset was collected to build on past and ongoing monitoring and research efforts within Colorado’s Rocky Mountain National Park (RMNP). Specifically, the data were collected to test the hypothesis that reductions in canopy cover due to natural disturbances (i.e. wildfire and beetle kill) result in increases in water temperature, or the longitudinal thermal gradient of a stream. Data values include stream temperature paired with light intensity data, and air temperature data to determine the influence of riparian canopy condition and longitudinal warming across a 1 km reach. Two control streams were selected: Ouzel Creek, which has virtually no riparian canopy due to a previous wildfire; and Hunters Creek, which has a dense and healthy riparian canopy. In search of similar size streams with variable riparian conditions, the authors discovered that the beetle caused tree mortality remained mostly upland within RMNP, whereas the riparian canopy appeared healthy and much less impacted along stream corridors. Instruments were deployed in the stream with the most potential for variability, Coney Creek, in 2014. Eventually two additional streams were investigated on the western side of RMNP: Columbine Creek, which has minor beetle caused mortality within the riparian canopy; and Bowen Gulch (outside of RMNP), which displays a breif 1 kilometer (km) reach of beetle impacted canopy located between dense riparian canopy and a wetland grass meadow. The downstream reach terminus is rendered as 0 meters (m) and each monitoring station is located upstream at 250 meter intervals over a 1km reach.

This dataset was collected to build on past and ongoing monitoring and research efforts within Colorado’s Rocky Mountain National Park (RMNP). Specifically, the data were collected to test the hypothesis that reductions in canopy cover due to natural disturbances (i.e. wildfire and beetle kill) result in increases in water temperature, or the longitudinal thermal gradient of a stream. Data values include stream temperature paired with light intensity data, and air temperature data to determine the influence of riparian canopy condition and longitudinal warming across a 1 km reach. Two control streams were selected: Ouzel Creek, which has virtually no riparian canopy due to a previous wildfire; and Hunters Creek, which has a dense and healthy riparian canopy. In search of similar size streams with variable riparian conditions, the authors discovered that the beetle caused tree mortality remained mostly upland within RMNP, whereas the riparian canopy appeared healthy and much less impacted along stream corridors. Instruments were deployed in the stream with the most potential for variability, Coney Creek, in 2014. Eventually two additional streams were investigated on the western side of RMNP: Columbine Creek, which has minor beetle caused mortality within the riparian canopy; and Bowen Gulch (outside of RMNP), which displays a breif 1 kilometer (km) reach of beetle impacted canopy located between dense riparian canopy and a wetland grass meadow. The downstream reach terminus is rendered as 0 meters (m) and each monitoring station is located upstream at 250 meter intervals over a 1km reach.