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add dataset card

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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ ---
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+
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+ # Dataset Card for NASA Power Daily Weather Dataset
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+
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+ <!-- Provide a quick summary of the dataset. -->
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+
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+ This dataset contains daily solar and meteorological data downloaded from the [NASA Power API](https://power.larc.nasa.gov/)
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+
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+ ## Dataset Details
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+
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+ The dataset includes solar and meteorological variables collected from January 1st, 1984, to December 31st, 2022.
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+ We downloaded 28 variables directly and estimated an additional 3 from the collected data. The data spans a 5 x 8 grid covering
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+ the United States, Central America, and South America. Each grid rectangle contains 160 data points spaced 0.5 degrees apart in
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+ latitude and longitude.
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+
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+
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+
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+ ### Dataset Description
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+
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+ Here are the descriptions of the 31 weather variables with their units:
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+
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+ | Parameter Name | Symbol | Unit |
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+ |--------------------------------------------------------------|------------------|--------------------|
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+ | Temperature at 2 Meters | T2M | C |
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+ | Temperature at 2 Meters Maximum | T2M_MAX | C |
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+ | Temperature at 2 Meters Minimum | T2M_MIN | C |
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+ | Wind Direction at 2 Meters | WD2M | Degrees |
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+ | Wind Speed at 2 Meters | WS2M | m/s |
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+ | Surface Pressure | PS | kPa |
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+ | Specific Humidity at 2 Meters | QV2M | g/Kg |
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+ | Precipitation Corrected | PRECTOTCORR | mm/day |
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+ | All Sky Surface Shortwave Downward Irradiance | ALLSKY_SFC_SW_DWN| MJ/m^2/day |
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+ | Evapotranspiration Energy Flux | EVPTRNS | MJ/m^2/day |
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+ | Profile Soil Moisture (0 to 1) | GWETPROF | 0 to 1 |
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+ | Snow Depth | SNODP | cm |
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+ | Dew/Frost Point at 2 Meters | T2MDEW | C |
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+ | Cloud Amount | CLOUD_AMT | % |
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+ | Evaporation Land | EVLAND | kg/m^2/s * 10^6 |
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+ | Wet Bulb Temperature at 2 Meters | T2MWET | C |
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+ | Land Snowcover Fraction | FRSNO | 0 to 1 |
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+ | All Sky Surface Longwave Downward Irradiance | ALLSKY_SFC_LW_DWN| MJ/m^2/day |
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+ | All Sky Surface PAR Total | ALLSKY_SFC_PAR_TOT| MJ/m^2/day |
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+ | All Sky Surface Albedo | ALLSKY_SRF_ALB | 0 to 1 |
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+ | Precipitable Water | PW | cm |
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+ | Surface Roughness | Z0M | m |
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+ | Surface Air Density | RHOA | kg/m^3 |
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+ | Relative Humidity at 2 Meters | RH2M | % |
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+ | Cooling Degree Days Above 18.3 C | CDD18_3 | days |
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+ | Heating Degree Days Below 18.3 C | HDD18_3 | days |
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+ | Total Column Ozone | TO3 | Dobson units |
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+ | Aerosol Optical Depth 55 | AOD_55 | 0 to 1 |
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+ | Reference evapotranspiration | ET0 | mm/day |
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+ | Reference evapotranspiration | ET0 | mm/day |
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+ | Vapor Pressure | VAP | Pa |
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+ | Vapor Pressure Deficit | VAD | Pa |
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+
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+
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+ ## Dataset Structure
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+
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+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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+
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+ **raw:** unprocessed data dump from NASA pPower API in the JSON format.
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+
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+ **csvs:** Processed data in the csv format.
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+
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+ **pytorch:** Pytorch TensorDataset objects ready to be used in training. Each sample is a tuple of the following data:
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+ * weather measurements (shape 365 x 31)
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+ * coordinates (shape 1 x 2)
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+ * index (1 x 2). the first number is the index of the current row since Jan 1, 1984. The second number is the temporal granularity, which is
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+ * 1 for daily data, 7 for weekly data and 30 for monthly data.
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+
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+ ## Dataset Creation
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+
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+ ### Source Data
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+
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+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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+ NASA Power API daily weather measurments
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+
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+ #### Data Processing
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+
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+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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+
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+ - Missing values were backfilled.
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+ - Leap year extra day was omitted. So, each year of the daily dataset has 365 days. Similarly, each year of weekly dataset has 52 weeks, and the monthly dataset has 12 columns.
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+ - Data was pivoted. So each measurement has x columns where x is either 365, 52, or 12.
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+ - `pytorch` data was standardized using the mean and std of the weather over the continental united states.
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+
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]