SNOWDATA GeoTIFF Annual Snow Days
type: Dataset
description: 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 SnowModel snow-process model, and the SnowAssim data assimilation model. These modeling tools can be thought of as physically-based mathematical descriptions that create value-added information (e.g., snow depth, snow density, snow hardness, rain-on-snow events, and snow cover duration) from basic meteorological variables (e.g., air temperature, humidity, precipitation, and wind speed and direction). The resulting products are based on a physical understanding of environmental processes and features, and their interactions with the atmosphere and surrounding land surface. SnowModel is unique in its representation of blowing snow processes; it includes SnowTran-3D, a model developed initially for Arctic Alaska applications, and arguably the most widely used snow transport model in the world. The model formulations are general enough to allow simulations over temporal domains spanning years to decades, and spatial domains spanning from small watersheds to all of Alaska. MicroMet can use atmospheric forcing ranging from individual meteorological stations, to gridded atmospheric (re)analysis products, to climate change scenario datasets. SnowAssim is able to ingest snow data ranging from ground-based snow observations to remote-sensing data. This dataset is th…
keyword: academics-scientific-researchers
keyword: air-temperature
keyword: albedo
keyword: amerigeo
keyword: amerigeoss
keyword: ckan
keyword: climatologymeteorologyatmosphere
keyword: cryosphere-models
keyword: federal-resource-managers
keyword: geo
keyword: geoss
keyword: glacier-mass-balance-ice-sheet-mass-balance
keyword: glaciers
keyword: models
keyword: national
keyword: north-america
keyword: precipitation
keyword: precipitation-amount
keyword: rain
keyword: snow
keyword: snow-cover
keyword: snow-density
keyword: snow-depth
keyword: snow-energy-balance
keyword: snow-ice
keyword: snow-ice-temperature
keyword: snow-melt
keyword: snow-water-equivalent
keyword: united-states
issued: 2025-11-20T16:19:15.086236
modified: 2019-09-09T02:16:48-08:00
theme: {geospatial}
contact point: Organization
  fn: (Point of Contact, Originator); Arctic Landscape Conservation Cooperative (Point of Contact, Publisher)
spatial: Location

US Migrating
type: Agent

SNOWDATA GeoTIFF Annual Snow Days
type: Distribution
description: Direct Download link for SNOWDATA GeoTIFF Annual Snow Days
format: ZIP
access URL: http://data.arcticlcc.org/2012-02/SNOWDATA_GeoTIFF_snow_days.zip
issued: 2021-11-04T16:26:06.522036
modified: 2025-11-20T16:19:15.070640

Web page for Arctic Landscape Conservation Cooperative
type: Distribution
access URL: http://arcticlcc.org
issued: 2021-11-04T16:26:06.522376
modified: 2025-11-20T16:19:15.071045

Web page for Glen Liston, PhD
type: Distribution
access URL: http://www.colostate.edu/
issued: 2021-11-04T16:26:06.522380
modified: 2025-11-20T16:19:15.071454

Original Metadata
type: Distribution
description: The metadata original source
media type: text/xml
format: XML
access URL: https://data.doi.gov/harvest/object/22714be6-7183-4b3e-b0a4-6e335050c8a1
issued: 2022-07-14T19:29:30.726601
modified: 2025-11-20T16:19:15.071844