Skip to main content
Advanced Search

Filters: Tags: SNOW (X)

140 results (21ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This map service includes data on common variables of climate for Canada. Layers in this map service include daylight hours in December and June (solstice months), annual min, max, and mean temperatures, total rainfall and total snowfall. Data for all layers represent mean values from 1951 to 1980. Map Service published and hosted by Esri Canada, © 2011.
thumbnail
The U.S. Forest Service plans to conduct forest restoration treatments through the Four Forest Restoration Initiative (4FRI) on hundreds of thousands of acres of ponderosa pine forest along the Mogollon Rim of Arizona over the next 20 years with the goals of reducing wildfire hazard and improving forest health. The 4FRI’s key objective is to thin and burn the forests to create within-stand openings that “promote snowpack accumulation and retention which benefit groundwater recharge and watershed processes at the fine (1 to 10 acres) scale.” However, little is known about how these openings created by restoration treatments affect snow water equivalence (SWE) and soil moisture, which are key parts of the water balance...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2013, AL-04, AZ-01, Academics & scientific researchers, Applications and Tools, All tags...
thumbnail
Understanding snow conditions is key to developing a better understanding of hydrologic, biological, and ecosystem processes at work in northern Alaska. The required snow datasets currently do not exist at spatial or temporal scales needed by end users such as scientists, land managers, and policy makers. There are a wide variety of snow datasets that may be generated by this project. The list of desired datasets will be refined based on input from potential end users. However, outputs could include daily spatial distributions spanning the spatial and temporal domains of interest of the following variables: air temperature, wind speed and direction, relative humidity, surface (skin) temperature, incoming solar radiation,...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
thumbnail
This dataset includes Snow Density(sden) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Density is defined as density on 1 March(kg/m3). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years, under a variety of NOAA, NSF, and NASA research programs, a snow-evolution modeling system has been developed that includes the MicroMet micrometeorological model, the SnowModel snow-process model, and the SnowAssim data assimilation model. These modeling tools can be thought...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
thumbnail
Throughout the Arctic most pregnant polar bears (Ursus maritimus) construct maternity dens in seasonal snowdrifts that form in wind-shadowed areas. We developed and verified a spatial snowdrift polar bearden habitat model (SnowDens-3D) that predicts snowdrift locations and depths along Alaska’s Beaufort Sea coast. SnowDens-3D integrated snow physics, weather data, and a high-resolution digital elevation model (DEM) to produce predictions of the timing, distribution, and growth of snowdrifts suitable for polar bear dens. SnowDens-3D assimilated 18 winters (1995 through 2012) of observed daily meteorological data and a 2.5 m grid-increment DEM covering 337.5 km2 of the Beaufort Sea coast, and described the snowdrift...
The application of two management strategies were tested across nine, Class III, wetland catchments located at the Woodworth Study Area (Stutsman County, ND). This field study took place during 2014 and 2015. 2014 was a pre-treatment year and snow measurements were taken in all experimental catchments in the late February 2015, before treatments were applied. Temporary electric fences were installed surrounding each wetland catchment to exclude them from grazing that took place on the management unit in 2015. All the catchments had been managed in a similar manner since purchased by USFWS in 1964. The primary management strategy of the wetland catchments from 1964–2013 was non-use with occasional prescribed burning....
Whole air drawn from four heights within the high elevation (3,340 m asl), deep, winter snowpack at Niwot Ridge, Colorado, were sampled into stainless steel canisters, and subsequently analyzed by gas chromatography for 51 volatile inorganic and organic gases. Two adjacent plots with similar snow cover were sampled, one over bare soil and a second one from within a snow-filled chamber where Tedlar/Teflon-film covered the ground and isolated it from the soil. This comparison allowed for studying effects from processes in the snowpack itself versus soil influences on the gas concentrations and fluxes within and through the snowpack. Samples were also collected from ambient air above the snow surface for comparison...
Although freeze?thaw cycles can alter soil physical properties and microbial activity, their overall impact on soil functioning remains unclear. This review addresses the effects of freeze?thaw cycles on soil physical properties, microorganisms, carbon and nutrient dynamics, trace gas losses and higher organisms associated with soil. I discuss how the controlled manipulation of freeze?thaw cycles has varied widely among studies and propose that, despite their value in demonstrating the mechanisms of freeze?thaw action in soils, many studies of soil freeze?thaw cycles have used cycle amplitudes, freezing rates and minimum temperatures that are not relevant to temperature changes across much of the soil profile in...
thumbnail
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,...
thumbnail
Locations of NRCS SNOTEL monitoring sites in the San Luis Valley - Taos Plateau study area. SNOTEL locations were obtained from NRCS (http://www.wcc.nrcs.usda.gov/snow/). The Natural Resources Conservation Service (NRCS) installs, operates and maintains an extensive, automat-ed system call SNOTEL (short for Snow Telemetry). SNOTEL is designed to collect snowpack and related climatic data in the Western U.S. and Alaska. In 1935, NRCS, then the Soil Conservation Service, established a formal cooperative Snow Survey and Water Supply Forecasting (SSWSF) Program to conduct snow surveys and develop accurate and reliable water supply forecasts. The Program operates under technical guidance from the NRCS National Water...
thumbnail
Climate change is expected to impact the thermal regimes of streams and otherfreshwater ecosystems (Schindler 2001, Malmqvist and Rundle 2002, Poff et al. 2002). Whileincreased air temperatures will have direct effects on water temperature, indirect effects due tochanges in precipitation patterns, groundwater characteristics, and flow regimes (Perkins et al.2010) may have much larger effects. We explored 1) how variation in hydrologicalcharacteristics of streams mediate their thermal regimes, 2) how geomorphic features ofwatersheds regulated stream water sources and, therefore, thermal characteristics, and 3) whetherpatterns of thermal variation among streams correlate with the life-history characteristics ofPacific...
thumbnail
Executive Summary and Table of Contents for the “Hydroclimate Observations in Arctic Alaska: Analysis of Past Networks and Recommendations for the Future” report. This report was produced by the Hydroclimatological data rescue, data inventory, network analysis, and data distribution project.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ABLATION, ABLATION, ACTIVE LAYER, ACTIVE LAYER, ALBEDO, All tags...
thumbnail
These light detection and ranging (lidar) point clouds (LPCs) were generated from lidar data collected during multiple field campaigns in three study areas near Winter Park, Colorado. Small, uncrewed aircraft systems (sUAS) collected lidar datasets to represent snow-covered and snow-free periods. More information regarding the sUAS used and data collection methods can be found in the Supplemental Information and process step sections of each study area metadata file.
thumbnail
These are Snow Water Equivalent (SWE) SnowPALM model output data for an area in the Valles Caldera, northern New Mexico. These post-fire model output data are intended to accompany a published report (The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions [Moeser, Broxton and Harpold, 2019]). All data are in a gridded format where the lower left hand corner is located at 3979325 north, and 371710 east in 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. Data output is on a daily time step and ranges between the 1st of September 1981 (labeled:...
Dust deposition to mountain snow cover, which has increased since the late 19(th) century, accelerates the rate of snowmelt by increasing the solar radiation absorbed by the snowpack. Snowmelt occurs earlier, but is decoupled from seasonal warming. Climate warming advances the timing of snowmelt and early season phenological events (e.g., the onset of greening and flowering); however, earlier snowmelt without warmer temperatures may have a different effect on phenology. Here, we report the results of a set of snowmelt manipulations in which radiation-absorbing fabric and the addition and removal of dust from the surface of the snowpack advanced or delayed snowmelt in the alpine tundra. These changes in the timing...
thumbnail
This dataset includes Snow Up Date(sudy) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Up Date is defined as day of the start of the core snow period(day of year). The core snow season is defined to be the longest period of continuous snow cover in each year. The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.“Day-of-year” (doy) output is expressed in Ordinal dates (“1” on 1 January, and “365” on 31 December). Dates have not been corrected for leap years. This output is appropriate for display purposes, as it is readily interpreted as calendar day of year. It is not recommended as input for analysis, as it may produce incorrect...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
thumbnail
This dataset includes Snow Days(sdys) for northern Alaska in GeoTiff format, covering the years 1980-2012. Snow Days is defined as number of days in core snow period(days). The core snow season is defined to be the longest period of continuous snow cover in each year. The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years, under a variety of NOAA, NSF, and NASA research programs, a snow-evolution modeling system has been developed that includes the MicroMet micrometeorological model, the...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
thumbnail
Historically, available den habitat models have been based primarily on the presence of topographic features capable of capturing drifting snow. In any given season, however, the availability and precise location of snowdrifts of sufficient size to accommodate a bear den depends on the antecedent snowfall and wind conditions, and these vary from one year to the next. Thus, suitable topography is a necessary pre-condition, but is not sufficient to accurately predict potential den sites in a given year.To satisfy the requirements of agency and industry managers what is needed is a user-friendly decision-support tool that takes into account the current fall and early-winter meteorological conditions, and provides den...
thumbnail
This dataset includes Rain Precipitation(rpre) for northern Alaska in GeoTiff format, covering the years 1980-2012. Rain Precipitation is defined as (m/yr). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The dataset is delivered in the ZIP archive file format. Each year is output in a separate GeoTiff file, where the year is indicated by the filename.Over the last 20 years, under a variety of NOAA, NSF, and NASA research programs, a snow-evolution modeling system has been developed that includes the MicroMet micrometeorological model, the SnowModel snow-process model, and the SnowAssim data assimilation model. These modeling tools can be thought of...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AIR TEMPERATURE, AIR TEMPERATURE, ALBEDO, ALBEDO, Academics & scientific researchers, All tags...
thumbnail
Northern Arizona University will build upon the U.S. Forest Service Four Forest Restoration Initiative in Northern Arizona to investigate how restoration efforts can affect the water volume available in the snowpack and soil moisture in the Desert LCC. This project will result in a tool that can be used to predict the water volume in snowpack and soil moisture response to various forest treatments.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2013, AL-04, AZ-01, Academics & scientific researchers, Applications and Tools, All tags...


map background search result map search result map Canada's Climate Predicting Snow Water Equivalence (SWE) and Soil Moisture Response to Restoration Treatments in Headwater Ponderosa Pine Forests of the Desert LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications (Alaska Arctic LCC Distributed Snow Property Datasets) SNOWDATA GeoTIFF Annual Snow Up Date (year) SNOWDATA GeoTIFF Annual Snow Density SnowDens-3D User Documentation SNOWDATA GeoTIFF Annual Rain Precipitation SNOWDATA GeoTIFF Annual Snow Days Modeling snowdrift habitat for polar bear dens Watershed Control of Hydrologic Sources and Thermal Conditions in SW Alaska Streams: A Framework for Forecasting Effects of Changing Climate Final Report: Predicting Snow Water Equivalence (SWE) and Soil Moisture Response to Restoration Treatments in Headwater Ponderosa Pine Forests of the Desert LCC Hydroclimatological Data Rescue Project Final Report - Executive Summary BLM REA SLV 2013 CO Snotel pt Data Release: The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions Post-Fire Output Data Vegetation and snow depth measurements in grasslands under grazing, burning, and snow fence management near Woodworth, North Dakota (2014-2016) Lidar Point Clouds (LPC) Derived from Lidar Data Collected by Small, Uncrewed Aircraft Systems (sUAS) in Three Study Areas in Colorado, 2020-22 Data Release: The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions Post-Fire Output Data Vegetation and snow depth measurements in grasslands under grazing, burning, and snow fence management near Woodworth, North Dakota (2014-2016) Lidar Point Clouds (LPC) Derived from Lidar Data Collected by Small, Uncrewed Aircraft Systems (sUAS) in Three Study Areas in Colorado, 2020-22 BLM REA SLV 2013 CO Snotel pt Modeling snowdrift habitat for polar bear dens Predicting Snow Water Equivalence (SWE) and Soil Moisture Response to Restoration Treatments in Headwater Ponderosa Pine Forests of the Desert LCC Final Report: Predicting Snow Water Equivalence (SWE) and Soil Moisture Response to Restoration Treatments in Headwater Ponderosa Pine Forests of the Desert LCC Watershed Control of Hydrologic Sources and Thermal Conditions in SW Alaska Streams: A Framework for Forecasting Effects of Changing Climate SnowDens-3D User Documentation SNOWDATA: Snow Datasets for Arctic Terrestrial Applications (Alaska Arctic LCC Distributed Snow Property Datasets) SNOWDATA GeoTIFF Annual Snow Up Date (year) SNOWDATA GeoTIFF Annual Snow Density SNOWDATA GeoTIFF Annual Rain Precipitation SNOWDATA GeoTIFF Annual Snow Days Hydroclimatological Data Rescue Project Final Report - Executive Summary Canada's Climate