Geoweaver's picture
Update README.md
401c738 verified
metadata
license: cc-by-4.0
language:
  - en
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: training_data.csv

Snow Water Equivalent Forecasting Training Data

Dataset Summary

Snow Water Equivalent 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. An additional column, source, specifies the origin of each data column.

Authors

  • Ziheng Sun
  • Justin Pflug
  • Nicoleta Cristea
  • Gokul Prathin Asamani
  • Keenan Ganz
  • Millie Spencer
  • Kehan Yang
  • Mahboubeh Bousshagh
  • Juan S. Acero Triana
  • Bonan Li
  • Rebecca Gustine

Year

2024

Usage



from datasets import load_dataset

data = load_dataset("Geoweaver/SnowWaterEquivalent_trainingdata", data_files="training_data.csv")

Related Data Sources

Data Fields

Key Unit Data Type Description Source
date - Object Date of the observation. GridMET
lat Degrees Float64 Latitude of the observation location. GridMET
lon Degrees Float64 Longitude of the observation location. GridMET
SWE Inches Float64 Snow water equivalent at the observation point. GridMET
SWE_1 Inches Float64 SWE value from one day before. GridMET
air_temperature_tmmn_1 Fahrenheit Float64 Minimum air temperature from one day before. GridMET
potential_evapotranspiration_1 Inches/day Float64 Potential evapotranspiration from one day before. GridMET
mean_vapor_pressure_deficit_1 kPa Float64 Mean vapor pressure deficit from one day before. GridMET
relative_humidity_rmax_1 Percentage Float64 Maximum relative humidity from one day before. GridMET
relative_humidity_rmin_1 Percentage Float64 Minimum relative humidity from one day before. GridMET
precipitation_amount_1 Inches Float64 Precipitation amount from one day before. GridMET
air_temperature_tmmx_1 Fahrenheit Float64 Maximum air temperature from one day before. GridMET
wind_speed_1 m/s Float64 Wind speed from one day before. GridMET
ndsi_1 Percentage Float64 Fractional snow-covered area from one day before. MODIS
SWE_2 Inches Float64 SWE value from two days before. GridMET
air_temperature_tmmn_2 Fahrenheit Float64 Minimum air temperature from two days before. GridMET
potential_evapotranspiration_2 Inches/day Float64 Potential evapotranspiration from two days before. GridMET
mean_vapor_pressure_deficit_2 kPa Float64 Mean vapor pressure deficit from two days before. GridMET
relative_humidity_rmax_2 Percentage Float64 Maximum relative humidity from two days before. GridMET
relative_humidity_rmin_2 Percentage Float64 Minimum relative humidity from two days before. GridMET
precipitation_amount_2 Inches Float64 Precipitation amount from two days before. GridMET
air_temperature_tmmx_2 Fahrenheit Float64 Maximum air temperature from two days before. GridMET
wind_speed_2 m/s Float64 Wind speed from two days before. MODIS
ndsi_2 Percentage Float64 snow-covered area from two days before. MODIS
cumulative_SWE Inches Float64 Cumulative SWE over a specific time period starting from October 1. SNOTEL
cumulative_air_temperature_tmmn Fahrenheit Float64 Cumulative minimum air temperature over a specific time period starting from October 1.
cumulative_potential_evapotranspiration Inches/day Float64 Cumulative potential evapotranspiration starting from October 1.
cumulative_mean_vapor_pressure_deficit kPa Float64 Cumulative mean vapor pressure deficit starting from October 1.
cumulative_relative_humidity_rmax Percentage Float64 Cumulative maximum relative humidity starting from October 1.
cumulative_relative_humidity_rmin Percentage Float64 Cumulative minimum relative humidity starting from October 1.
cumulative_precipitation_amount Inches Float64 Cumulative precipitation amount starting from October 1.
cumulative_air_temperature_tmmx Fahrenheit Float64 Cumulative maximum air temperature starting from October 1.
cumulative_wind_speed m/s Float64 Cumulative wind speed starting from October 1.
cumulative_ndsi Percentage Float64 Cumulative fractional snow-covered area starting from October 1. MODIS
station_name - Object Name of the observation station. SNOTEL
swe_value Inches Float64 Measured value of SWE. SNOTEL
change_in_swe_inch Inches Float64 Change in SWE in inches. SNOTEL
snow_depth Inches Float64 Depth of the snow at the observation site. SNOTEL
air_temperature_observed_f Fahrenheit Float64 Observed air temperature. SNOTEL
precipitation_amount Inches Float64 Amount of precipitation recorded. SNOTEL
relative_humidity_rmin Percentage Float64 Minimum relative humidity recorded. GridMET
potential_evapotranspiration Inches/day Float64 Potential rate of evaporation and transpiration. GridMET
air_temperature_tmmx Fahrenheit Float64 Maximum air temperature recorded. GridMET
relative_humidity_rmax Percentage Float64 Maximum relative humidity recorded. GridMET
mean_vapor_pressure_deficit kPa Float64 Mean vapor pressure deficit. GridMET
air_temperature_tmmn Fahrenheit Float64 Minimum air temperature recorded. GridMET
wind_speed m/s Float64 Wind speed at the observation location. GridMET
Elevation Meters Float64 Elevation of the observation site. USGS SRTM
Aspect Degrees Float64 Compass direction the slope faces. USGS SRTM
Curvature - Float64 Terrain curvature at the observation site. USGS SRTM
Northness - Float64 Degree of orientation towards the north. USGS SRTM
Eastness - Float64 Degree of orientation towards the east. USGS SRTM

Data Processing

  • Cumulative Metrics: Columns with cumulative prefixes (e.g., cumulative_relative_humidity_rmax) start accumulating data from the previous water year, typically beginning on October 1. These metrics are not normalized unless specified.
  • Smoothing Process: Several columns underwent a smoothing process to fill gaps in missing data. These include:
    • SWE
    • air_temperature_observed_f
    • precipitation_amount
    • relative_humidity_rmin
    • relative_humidity_rmax
    • mean_vapor_pressure_deficit

License

CC-BY-4.0

Citation

If you find our dataset/code/paper helpful, please consider cite our papers 📝:

@misc {geoweaver_2025,
    author       = { {Geoweaver} },
    title        = { SnowWaterEquivalent_trainingdata},
    year         = 2025,
    url          = { https://huggingface.co/datasets/Geoweaver/SnowWaterEquivalent_trainingdata },
    doi          = { 10.57967/hf/4179 },
    publisher    = { Hugging Face }
}