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anomaly.json
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anomaly.json
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{
"id": "anomaly",
"summary": "Compute anomalies",
"description": "Computes anomalies based on normals for temporal periods. It compares the data for each label in the temporal dimension with the corresponding data in the normals data cube by subtracting the normal from the data.",
"categories": [
"climatology",
"cubes",
"math"
],
"parameters": [
{
"name": "data",
"description": "A data cube with exactly one temporal dimension and the following dimension labels for the given period (`YYYY` = four-digit year, `MM` = two-digit month, `DD` two-digit day of month):\n\n* `hour`: `YYYY-MM-DD-00` - `YYYY-MM-DD-23`\n* `day`: `YYYY-001` - `YYYY-365`\n* `week`: `YYYY-01` - `YYYY-52`\n* `dekad`: `YYYY-00` - `YYYY-36`\n* `month`: `YYYY-01` - `YYYY-12`\n* `season`: `YYYY-djf` (December - February), `YYYY-mam` (March - May), `YYYY-jja` (June - August), `YYYY-son` (September - November).\n* `tropical-season`: `YYYY-ndjfma` (November - April), `YYYY-mjjaso` (May - October).\n* `year`: `YYYY`\n* `decade`: `YYY0`\n* `decade-ad`: `YYY1`\n* `single-period` / `climatology-period`: Any\n\n``aggregate_temporal_period()`` can compute such a data cube.",
"schema": {
"type": "object",
"subtype": "datacube",
"dimensions": [
{
"type": "temporal"
}
]
}
},
{
"name": "normals",
"description": "A data cube with normals, e.g. daily, monthly or yearly values computed from a process such as ``climatological_normal()``. Must contain exactly one temporal dimension with the following dimension labels for the given period:\n\n* `hour`: `00` - `23`\n* `day`: `001` - `365`\n* `week`: `01` - `52`\n* `dekad`: `00` - `36`\n* `month`: `01` - `12`\n* `season`: `djf` (December - February), `mam` (March - May), `jja` (June - August), `son` (September - November)\n* `tropical-season`: `ndjfma` (November - April), `mjjaso` (May - October)\n* `year`: Four-digit year numbers\n* `decade`: Four-digit year numbers, the last digit being a `0`\n* `decade-ad`: Four-digit year numbers, the last digit being a `1`\n* `single-period` / `climatology-period`: A single dimension label with any name is expected.",
"schema": {
"type": "object",
"subtype": "datacube",
"dimensions": [
{
"type": "temporal"
}
]
}
},
{
"name": "period",
"description": "Specifies the time intervals available in the normals data cube. The following options are available:\n\n* `hour`: Hour of the day\n* `day`: Day of the year\n* `week`: Week of the year\n* `dekad`: Ten day periods, counted per year with three periods per month (day 1 - 10, 11 - 20 and 21 - end of month). The third dekad of the month can range from 8 to 11 days. For example, the fourth dekad is Feb, 1 - Feb, 10 each year.\n* `month`: Month of the year\n* `season`: Three month periods of the calendar seasons (December - February, March - May, June - August, September - November).\n* `tropical-season`: Six month periods of the tropical seasons (November - April, May - October).\n* `year`: Proleptic years\n* `decade`: Ten year periods ([0-to-9 decade](https://en.wikipedia.org/wiki/Decade#0-to-9_decade)), from a year ending in a 0 to the next year ending in a 9.\n* `decade-ad`: Ten year periods ([1-to-0 decade](https://en.wikipedia.org/wiki/Decade#1-to-0_decade)) better aligned with the anno Domini (AD) calendar era, from a year ending in a 1 to the next year ending in a 0.\n* `single-period` / `climatology-period`: A single period of arbitrary length",
"schema": {
"type": "string",
"enum": [
"hour",
"day",
"week",
"dekad",
"month",
"season",
"tropical-season",
"year",
"decade",
"decade-ad",
"climatology-period",
"single-period"
]
}
}
],
"returns": {
"description": "A data cube with the same dimensions. The dimension properties (name, type, labels, reference system and resolution) remain unchanged.",
"schema": {
"type": "object",
"subtype": "datacube",
"dimensions": [
{
"type": "temporal"
}
]
}
}
}