Filters: Tags: SNOW WATER EQUIVALENT (X)
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The percentage difference between mean modeled snow-water-equivalent (meters) on April 1 for the reference (1989-2011) climate period and mean modeled snow-water-equivalent on April 1 for the T2 climate change scenario. Reference period: the period 1989 – 2009 for the McKenzie River Basin domain, and 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input. T2 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: McKenzie River Basin,
Northwest CASC,
Oregon,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
The percentage difference between mean modeled snow-water-equivalent on March 28 for the reference period and mean modeled snow-water-equivalent on March 13 for the T2 climate change scenario, which are the dates of peak basin-integrated SWE for each period, respectively. Reference period: the period 1989 – 2009 for the McKenzie River Basin domain, and 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input. T2 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: McKenzie River Basin,
Northwest CASC,
Oregon,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
This dataset includes Last Snow Date(lsdy) for northern Alaska in GeoTiff format, covering the years 1980-2012. Last Snow Date is defined as day of last snow occurrence during the year(day of 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 statistics; “day-of-simulation” (dos) files should be used for that purpose.“Day-of-year”...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AIR TEMPERATURE,
AIR TEMPERATURE,
ALBEDO,
ALBEDO,
Academics & scientific researchers,
This dataset includes First Snow Date(fsdt) for northern Alaska in GeoTiff format, covering the years 1980-2012. First Snow Date is defined as day of first snow occurrence during the year(day of simulation). The dataset was generated by the Arctic LCC SNOWDATA: Snow Datasets for Arctic Terrestrial Applications project.The simulation period runs from 1 September – 31 August. “Day-of-simulation” takes the value of “1” on 1 September, “123” on 1 January, and “365” on 31 August. “Day-of-simulation” files should be used for analysis (trend, mean, etc.).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,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AIR TEMPERATURE,
AIR TEMPERATURE,
ALBEDO,
ALBEDO,
Academics & scientific researchers,
This dataset includes Solid Precipitation(spre) for northern Alaska in GeoTiff format, covering the years 1980-2012. Solid Precipitation is defined as snowfall(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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AIR TEMPERATURE,
AIR TEMPERATURE,
ALBEDO,
ALBEDO,
Academics & scientific researchers,
This file summarizes the data found in RG_obs_PTSWEQ.csv used in the analysis of the contribution of precipitation, temperature, and SWE to the interannual variability of runoff generation in the Rio Grande headwaters.
Mean modeled snow-water-equivalent (meters) on April 1 for the T4 climate change scenario. T4 scenario: the observed historical (reference period) meteorology is perturbed by adding +4°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Northwest CASC,
Oregon,
Rivers, Streams and Lakes,
Upper Deschutes River Basin,
Water, Coasts and Ice,
Mean modeled snow-water-equivalent (meters) on April 1 for the reference (1989-2011) climate period. Reference period: the period 1989 – 2009 for the McKenzie River Basin domain, and 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: McKenzie River Basin,
Northwest CASC,
Oregon,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
The absolute difference between mean modeled snow-water-equivalent on March 28 for the reference period and mean modeled snow-water-equivalent on March 13 for the T2P10 climate change scenario, which are the dates of peak basin-integrated SWE for each period, respectively. Reference period: the period 1989 – 2009 for the McKenzie River Basin domain, and 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input. T2P10 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record, and +10% precipitation to each daily precipitation record in the reference period meteorology, and this data...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: McKenzie River Basin,
Northwest CASC,
Oregon,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
The absolute difference between mean modeled snow-water-equivalent (meters) on April 1 for the reference (1989-2011) climate period and mean modeled snow-water-equivalent on April 1 for the T2 climate change scenario. Reference period: the period 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input. T2 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Northwest CASC,
Oregon,
Rivers, Streams and Lakes,
Upper Deschutes River Basin,
Water, Coasts and Ice,
This directory contains summaries of 30 arc-second (~800m) snow products generated using the Variable Infiltration Capacity (VIC) macroscale hydrologic model. The driving meteorological dataset was generated by downscaling the 1/16th degree data used by Littell et al. 2011 (Regional Climate and Hydrologic Change in the Northern US Rockies and Pacific Northwest, http://cses.washington.edu/picea/USFS/pub/). The downscaling to 30 arc-second was achieved using PRISM climate normals for monthly average temperature and precipitation. In addition to the increased resolution, VIC was adjusted to take gridcell mean slope and aspect as inputs to the radiative calculations. Due to space constraints, only SWE (Snow Water Equivalent,...
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,
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,
This study focuses on regionalization and reconstruction of April 1 snow water equivalent (SWE) of snow courses stations located in the Upper Colorado River basin (UCRB) and evaluates regional drought scenarios for the last 480 years. Rotated principal component analysis (PCA) and cluster analysis were used to regionalize the snow course stations in the UCRB. Both methods of regionalization identified four regions of snow course stations, which were spatially distributed in the regions (east, west, north and south). Then, partial least squares regression (PLSR) was used to reconstruct three regional SWE time series in the UCRB based on residual tree-ring chronologies. Tree-ring chronologies that were positively...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Journal of Hydrology,
drought,
snow water equivalent,
tree-ring
Mean modeled snow-water-equivalent (meters) on March 13, the date of peak basin-integrated mean modeled snow-water-equivalent (meters) for the T2 climate change scenario. T2 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: McKenzie River Basin,
Northwest CASC,
Oregon,
Rivers, Streams and Lakes,
Water, Coasts and Ice,
Mean modeled snow-water-equivalent (meters) on April 1 for the T2P10 climate change scenario. T2P10 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record, and +10% precipitation to each daily precipitation record in the reference period meteorology, and this data is then used as input to the model.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Northwest CASC,
Oregon,
Rivers, Streams and Lakes,
Upper Deschutes River Basin,
Water, Coasts and Ice,
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,
Discrete snow depth data were collected during multiple winter campaigns during 2020–22. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation of snow dynamics and water resources. Snow depth was measured using either an avalanche probe and handheld global positioning system (GPS) unit or a snow depth probe with attached Juniper Systems Geode GPS receiver and a Mesa tablet. These data are released in a comma separated value file.
These tabular data sets represent daily climate metrics processed from 4 kilometer snow water equivalent (SWE) raster data in millimeters (Broxton and others, 2019) for the period of record 10-01-1981 through 09-30-2020 and compiled for three spatial components: select United States Geological Survey stream gage basins (Staub and Wieczorek, 2023), 2) individual reach flowline catchments of the Upper and Lower Colorado (ucol) portions of the Geospatial Fabric for the National Hydrologic Model, version 1.1 (nhgfv11, Bock and others, 2020 ), and 3) the upstream watersheds of each individual nhgfv11 flowline catchments. Flowline reach catchment information characterizes data at the local scale using the python tool...
Categories: Data;
Tags: CONUS,
Conterminous United States,
Coterminous United States,
Geospatial Fabric,
Hydrologic Modeling,
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.
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