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metadata.json
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{
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"license": "cc-by-4.0",
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"language": [
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"en"
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],
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"pretty_name": "Snow Water Equivalent Forecasting Training Data",
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"description": "This dataset contains information about snow water equivalent (SWE), temperature, precipitation, wind speed, relative humidity, and related climate variables across different locations and time periods. It includes daily observations and derived variables for hydrological and climate analysis.",
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"authors": [
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"Ziheng Sun",
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"Justin Pflug",
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"Nicoleta Cristea",
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"Gokul Prathin Asamani",
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"Keenan Ganz",
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"Millie Spencer",
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"Kehan Yang",
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"Mahboubeh Bousshagh",
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"Juan S. Acero Triana",
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"Bonan Li",
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"Rebecca Gustine"
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],
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"year": 2024,
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"data_provenance": {
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"SNOTEL": {
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"columns": [
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"station_name",
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"swe_value",
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"change_in_swe_inch",
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"snow_depth",
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"air_temperature_observed_f",
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"precipitation_amount"
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]
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},
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"GridMET": {
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"columns": [
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"relative_humidity_rmin",
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"potential_evapotranspiration",
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"air_temperature_tmmx",
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"relative_humidity_rmax",
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"mean_vapor_pressure_deficit",
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"air_temperature_tmmn",
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"wind_speed"
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]
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},
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"USGS SRTM": {
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"columns": [
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"Elevation",
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"Aspect",
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"Curvature",
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"Northness",
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"Eastness"
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]
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},
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"MODIS fSCA": {
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"columns": [
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"fsca"
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]
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}
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},
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"data_processing": {
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"cumulative_metrics": "Metrics with cumulative prefixes (e.g., `cumulative_relative_humidity_rmax`) start accumulating data from the previous water year, typically beginning on October 1.",
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"smoothing": "Several columns underwent a smoothing process to fill gaps in missing data, including `SWE`, `air_temperature_observed_f`, `precipitation_amount`, `relative_humidity_rmin`, `relative_humidity_rmax`, and `mean_vapor_pressure_deficit`."
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},
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"data_sources": {
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"SNOTEL": "https://www.wcc.nrcs.usda.gov/snow/",
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"GridMET": "http://www.climatologylab.org/gridmet.html",
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"USGS SRTM": "https://www.usgs.gov/",
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"MODIS fSCA": "https://modis.gsfc.nasa.gov/"
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},
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"columns": [
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{
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"name": "date",
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"unit": "-",
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"data_type": "Object",
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"description": "Date of the observation."
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},
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{
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"name": "lat",
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"unit": "Degrees",
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"data_type": "Float64",
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"description": "Latitude of the observation location."
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},
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{
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"name": "lon",
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"unit": "Degrees",
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"data_type": "Float64",
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"description": "Longitude of the observation location."
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},
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{
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"name": "SWE",
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"unit": "Inches",
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"data_type": "Float64",
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"description": "Snow water equivalent at the observation point."
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},
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{
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"name": "cumulative_SWE",
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"unit": "Inches",
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"data_type": "Float64",
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"description": "Cumulative SWE over a specific time period starting from October 1."
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},
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{
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"name": "relative_humidity_rmin",
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"unit": "Percentage",
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"data_type": "Float64",
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"description": "Minimum relative humidity recorded."
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},
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{
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"name": "fsca",
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"unit": "Percentage",
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"data_type": "Float64",
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"description": "Fractional snow-covered area."
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},
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{
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"name": "wind_speed",
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"unit": "m/s",
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"data_type": "Float64",
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"description": "Wind speed at the observation location."
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}
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// Add more columns as needed following the same structure
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],
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"citation": {
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"author": "{Geoweaver}",
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"title": "SnowWaterEquivalent_trainingdata",
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"year": 2025,
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"url": "https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata",
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"doi": "10.57967/hf/4179",
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"publisher": "Hugging Face"
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}
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}
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