API

OpenAPI (json)

Point access to the datasets in the catalog: forecast and analysis time series read straight from the Zarr/Icechunk archives on AWS Open Data. No account, no key, no credentials — including from a browser.

Base URL https://api.dynamical.org. Requests and responses are JSON in camelCase.

Every command below was run against the live API when this page was built, and the response under it is what came back — pretty-printed, and elided where an axis runs long, with the elision saying so in place. This is a beta: the /v1 shapes are what the service returns today, and breaking changes will arrive as a new path prefix. Tell us what you need at [email protected].

Quickstart

A point forecast is one request: a data product, a location, and the variables you want. That is the whole minimum — omit initTime and you get the most recent model run in the archive, with every lead time it publishes.

dynamical.org - API

Point forecast

curl -X POST 'https://api.dynamical.org/v1/forecasts' \
  -H 'content-type: application/json' \
  -d '{"queries":[{"dataProductId":"noaa-gfs-forecast","location":{"latitude":41.88,"longitude":-87.63},"variables":["temperature_2m"]}]}'

dynamical.org - API

Response

{
  "results": [
    {
      "query": {
        "dataProductId": "noaa-gfs-forecast",
        "location": {
          "latitude": 41.88,
          "longitude": -87.63
        },
        "variables": [
          "temperature_2m"
        ]
      },
      "dataProduct": {
        "id": "noaa-gfs-forecast",
        "version": "0.2.7"
      },
      "point": {
        "requested": {
          "latitude": 41.88,
          "longitude": -87.63
        },
        "selected": {
          "latitude": 42,
          "longitude": -87.75,
          "grid": {
            "latitudeIndex": 192,
            "longitudeIndex": 369
          }
        },
        "method": "nearest"
      },
      "forecasts": [
        {
          "initTime": "2026-08-05T12:00:00Z",
          "validTimes": [
            "2026-08-05T12:00:00Z",
            "2026-08-05T13:00:00Z",
            "2026-08-05T14:00:00Z",
            "… 209 values, last 2026-08-21T12:00:00Z"
          ],
          "leadTimeHours": [
            0,
            1,
            2,
            "… 209 values, last 384"
          ],
          "links": {
            "canonical": "/v1/data/noaa-gfs-forecast/FHKS78ERQ44CTNM127G0/points/192,369?variables=temperature_2m&run=2026-08-05T12%3A00%3A00Z"
          },
          "data": {
            "temperature_2m": [
              22.75,
              24.375,
              26.25,
              "… 209 values, last 26.125"
            ]
          }
        }
      ],
      "variables": {
        "temperature_2m": {
          "unit": "degree_Celsius"
        }
      },
      "snapshotId": "FHKS78ERQ44CTNM127G0",
      "links": {
        "catalog": "https://stac.dynamical.org/noaa-gfs-forecast/collection.json"
      }
    }
  ]
}

The response pairs each variable's values with the axes they sit on. validTimes and leadTimeHours are the value axis; initTime is the run the values came from; snapshotId is the exact Icechunk snapshot that was read. GFS publishes lead times out to 16 days, so that is what one variable returns here — add maxLeadTimeHours or a validTime window when you want less.

From there: list the data products to see what is available, list runs to pin an exact initialization time, or ask for analysis data to see what actually happened.

Conventions

Naming. Request and response fields are camelCase. Requests identify a product with dataProductId; a data-product resource calls its own identifier id. Variable names are the underlying dataset's, unchanged (temperature_2m).
Timestamps. ISO-8601, UTC, trailing Z on output. Timestamps you send must carry a timezone offset; a naive timestamp is rejected rather than assumed to be UTC.
Two time axes. A forecast response separates the run axis (initTime) from the value axis (validTimes, with leadTimeHours alongside). There is no synthesized issue time. Analysis responses have one axis, analysisTimes.
Range boundaries. initTimesAfter and initTimesBefore are both exclusive. Analysis startTime is inclusive and endTime is exclusive. maxLeadTimeHours is an inclusive ceiling.
Latest run. Omitting initTime, or sending "initTime": "latest", selects the greatest initialization time present in the opened snapshot. The response always reports the resolved timestamp — never the word latest.
Nearest point. Locations snap to the nearest cell of the product's source grid and the response reports both the requested and selected coordinates plus the grid indices. A location outside the grid is an error, not a snap to a distant edge cell.
Batching. POST routes take a queries array and return a results array in the same order. Attach an optional queryId to a query and it is echoed on that result, so a batch stays unambiguous without counting positions.
Missing values. A gap in the archive is null, never NaN — responses stay strict JSON.
Browsers. All public routes allow credential-free cross-origin access from any origin, and expose their diagnostic response headers — including X-Dynamical-Work-Units — to scripts, so a browser client can read everything a command-line one can.

Endpoints

GET /v1/data-products
Discover data products and capabilities
GET /v1/data-products/{dataProductId}
Variables, dimensions, extent, license
GET /v1/forecasts/runs
Initialization times present in the current snapshot
POST /v1/forecasts
Batch point forecast time series
POST /v1/analyses
Batch point analysis time series
GET /v1/data/{dataProductId}/{snapshotId}/points/{gridIndices}
Immutable, cacheable canonical point response

GET `/v1/data-products`

Every data product the API can serve. The MVP catalog is the forecast and analysis products; capabilities says which point queries a product supports.

dynamical.org - API

Data products

curl 'https://api.dynamical.org/v1/data-products'

dynamical.org - API

Response

{
  "dataProducts": [
    {
      "id": "noaa-gfs-analysis",
      "name": "NOAA GFS analysis",
      "description": "Weather analysis from the Global Forecast System (GFS) operated by NOAA NWS NCEP.",
      "type": "analysis",
      "modelId": "noaa-gfs",
      "modelName": "NOAA GFS",
      "version": "0.1.0",
      "variableCount": 25,
      "capabilities": [
        "analysisTimeSeries"
      ],
      "links": {
        "self": "/v1/data-products/noaa-gfs-analysis",
        "catalog": "https://stac.dynamical.org/noaa-gfs-analysis/collection.json"
      }
    },
    {
      "id": "noaa-gfs-forecast",
      "name": "NOAA GFS forecast",
      "description": "Weather forecasts from the Global Forecast System (GFS) operated by NOAA NWS NCEP.",
      "type": "forecast",
      "modelId": "noaa-gfs",
      "modelName": "NOAA GFS",
      "version": "0.2.7",
      "variableCount": 25,
      "capabilities": [
        "forecastTimeSeries"
      ],
      "links": {
        "self": "/v1/data-products/noaa-gfs-forecast",
        "catalog": "https://stac.dynamical.org/noaa-gfs-forecast/collection.json"
      }
    },
    "… 15 entries"
  ]
}

GET `/v1/data-products/{dataProductId}`

The summary above plus what you need to build a query: every variable with its unit and dimensions, the dimension extents, the bounding box, and the license. An open-ended extent upper bound (null) means the archive is still growing along that dimension.

dynamical.org - API

One data product

curl 'https://api.dynamical.org/v1/data-products/noaa-gfs-forecast'

dynamical.org - API

Response

{
  "id": "noaa-gfs-forecast",
  "name": "NOAA GFS forecast",
  "description": "Weather forecasts from the Global Forecast System (GFS) operated by NOAA NWS NCEP.",
  "type": "forecast",
  "modelId": "noaa-gfs",
  "modelName": "NOAA GFS",
  "version": "0.2.7",
  "variableCount": 25,
  "capabilities": [
    "forecastTimeSeries"
  ],
  "links": {
    "self": "/v1/data-products/noaa-gfs-forecast",
    "catalog": "https://stac.dynamical.org/noaa-gfs-forecast/collection.json"
  },
  "license": "CC-BY-4.0",
  "boundingBox": [
    -180,
    -90,
    179.75,
    "… 4 values, last 90"
  ],
  "dimensions": {
    "init_time": {
      "type": "temporal",
      "extent": [
        "2021-05-01T00:00:00Z",
        null
      ],
      "unit": "seconds since 1970-01-01"
    },
    "latitude": {
      "type": "spatial",
      "extent": [
        -90,
        90
      ],
      "axis": "y",
      "unit": "degree_north",
      "size": 721
    },
    "lead_time": {
      "type": "other",
      "extent": [
        0,
        1382400
      ],
      "unit": "seconds",
      "size": 209
    },
    "longitude": {
      "type": "spatial",
      "extent": [
        -180,
        179.75
      ],
      "axis": "x",
      "unit": "degree_east",
      "size": 1440
    }
  },
  "variables": {
    "categorical_freezing_rain_surface": {
      "dimensions": [
        "init_time",
        "lead_time",
        "latitude",
        "… 4 values, last longitude"
      ],
      "unit": "1",
      "longName": "Categorical freezing rain",
      "standardName": null
    },
    "…": "24 more"
  }
}

GET `/v1/forecasts/runs`

The initialization times actually present in the current snapshot, newest first, with the snapshotId they were read from. It reports what exists; it does not infer whether a run is pending or complete.

Parameter	Type	Notes
`dataProductId`	string	Required; must be a forecast product
`initTimesAfter`	timestamp	Exclusive lower bound
`initTimesBefore`	timestamp	Exclusive upper bound
`limit`	integer	1–100, default 20

dynamical.org - API

Forecast runs

curl 'https://api.dynamical.org/v1/forecasts/runs?dataProductId=noaa-gfs-forecast&limit=3'

dynamical.org - API

Response

{
  "dataProductId": "noaa-gfs-forecast",
  "snapshotId": "FHKS78ERQ44CTNM127G0",
  "runs": [
    {
      "initTime": "2026-08-05T12:00:00Z"
    },
    {
      "initTime": "2026-08-05T06:00:00Z"
    },
    {
      "initTime": "2026-08-05T00:00:00Z"
    }
  ]
}

POST `/v1/forecasts`

Point forecast time series, up to 10 queries per request. Each query selects one location, one data product, and one or more runs. The quickstart is the minimal form; everything else here is optional.

Field	Type	Notes
`dataProductId`	string	Required; must be a forecast product
`location`	object	Required; `latitude` −90..90, `longitude` −180..180
`variables`	string[]	Required; 1–25 names from the data product
`queryId`	string	Echoed on the matching result; 1–128 characters
`initTime`	timestamp or `"latest"`	Defaults to the latest run in the snapshot
`initTimesAfter` `initTimesBefore`	timestamp	A run range, both exclusive, sent together; mutually exclusive with `initTime`; at most 10 runs resolve
`validTimeStart` `validTimeEnd`	timestamp	Trim the value axis; sent together, start exclusive of end
`maxLeadTimeHours`	integer	Inclusive ceiling on `leadTimeHours`; omit for every lead time the product publishes

A run range instead of a single run returns one entry per resolved run in forecasts — that is how you compare successive runs at a point. Each entry carries its own canonical link.

curl -X POST 'https://api.dynamical.org/v1/forecasts' \
  -H 'content-type: application/json' \
  -d '{"queries":[{"dataProductId":"noaa-gfs-forecast",
                   "location":{"latitude":41.88,"longitude":-87.63},
                   "initTimesAfter":"2026-08-04T00:00:00Z",
                   "initTimesBefore":"2026-08-05T18:00:00Z",
                   "maxLeadTimeHours":6,
                   "variables":["temperature_2m"]}]}'

POST `/v1/analyses`

Point analysis time series — the observed or reanalyzed record rather than a forecast. One time axis, analysisTimes, over a window you choose.

Field	Type	Notes
`dataProductId`	string	Required; must be an analysis product
`location`	object	Required
`variables`	string[]	Required; 1–25 names
`startTime`	timestamp	Required; inclusive
`endTime`	timestamp	Required; exclusive, after `startTime`, at most 31 days later
`queryId`	string	Echoed on the matching result

dynamical.org - API

Hourly analysis

curl -X POST 'https://api.dynamical.org/v1/analyses' \
  -H 'content-type: application/json' \
  -d '{"queries":[{"dataProductId":"noaa-mrms-conus-analysis-hourly","location":{"latitude":41.88,"longitude":-87.63},"startTime":"2026-08-05T10:00:00Z","endTime":"2026-08-05T16:00:00Z","variables":["precipitation_surface"]}]}'

dynamical.org - API

Response

{
  "results": [
    {
      "query": {
        "dataProductId": "noaa-mrms-conus-analysis-hourly",
        "location": {
          "latitude": 41.88,
          "longitude": -87.63
        },
        "variables": [
          "precipitation_surface"
        ],
        "startTime": "2026-08-05T10:00:00Z",
        "endTime": "2026-08-05T16:00:00Z"
      },
      "dataProduct": {
        "id": "noaa-mrms-conus-analysis-hourly",
        "version": "0.3.0"
      },
      "point": {
        "requested": {
          "latitude": 41.88,
          "longitude": -87.63
        },
        "selected": {
          "latitude": 41.87500000000261,
          "longitude": -87.62500000003854,
          "grid": {
            "latitudeIndex": 1312,
            "longitudeIndex": 4237
          }
        },
        "method": "nearest"
      },
      "analysisTimes": [
        "2026-08-05T10:00:00Z",
        "2026-08-05T11:00:00Z",
        "2026-08-05T12:00:00Z",
        "… 6 values, last 2026-08-05T15:00:00Z"
      ],
      "variables": {
        "precipitation_surface": {
          "unit": "kg m-2 s-1"
        }
      },
      "snapshotId": "TT22QP0G893NV57YADWG",
      "links": {
        "canonical": "/v1/data/noaa-mrms-conus-analysis-hourly/TT22QP0G893NV57YADWG/points/1312,4237?variables=precipitation_surface&start=2026-08-05T10%3A00%3A00Z&end=2026-08-05T16%3A00%3A00Z",
        "catalog": "https://stac.dynamical.org/noaa-mrms-conus-analysis-hourly/collection.json"
      },
      "data": {
        "precipitation_surface": [
          0,
          0,
          0,
          "… 6 values, last 0"
        ]
      }
    }
  ]
}

GET `/v1/data/{dataProductId}/{snapshotId}/points/{gridIndices}`

The immutable form of a point response. Every POST result hands you one of these URLs on links.canonical: the resolved snapshot, the resolved grid indices, and the exact query parameters that produced the values. Because the snapshot and the cell are pinned, the body can never change — it is served Cache-Control: public, max-age=31536000, immutable and is the right URL to hand a CDN, a notebook, or a citation.

Parameter	Where	Notes
`gridIndices`	path	The two indices from `point.selected.grid`, comma-separated
`variables`	query	Required; comma-separated, up to 25
`initTime`	query	Required for forecast products
`maxLeadTimeHours` `validTimeStart` `validTimeEnd`	query	Forecast value-axis trimming
`startTime` `endTime`	query	Analysis window

The command below is the canonical link the quickstart's response returned, followed on this page's last build. Snapshots roll forward as new data lands, so this exact URL stops resolving once the archive moves past it — read the link out of your own response rather than copying one.

dynamical.org - API

Canonical point

curl 'https://api.dynamical.org/v1/data/noaa-gfs-forecast/FHKS78ERQ44CTNM127G0/points/192,369?variables=temperature_2m&run=2026-08-05T12%3A00%3A00Z'

dynamical.org - API

Response

{
  "source": {
    "collection": "noaa-gfs-forecast",
    "dataset_version": "0.2.7",
    "snapshot": "FHKS78ERQ44CTNM127G0",
    "run": "2026-08-05T12:00:00Z",
    "run_selection": "explicit"
  },
  "point": {
    "latitude": 42,
    "longitude": -87.75,
    "grid": {
      "latitude_index": 192,
      "longitude_index": 369
    },
    "method": "nearest"
  },
  "time": [
    "2026-08-05T12:00:00Z",
    "2026-08-05T13:00:00Z",
    "2026-08-05T14:00:00Z",
    "… 209 values, last 2026-08-21T12:00:00Z"
  ],
  "lead_time_hours": [
    0,
    1,
    2,
    "… 209 values, last 384"
  ],
  "units": {
    "temperature_2m": "degree_Celsius"
  },
  "links": {
    "canonical": "/v1/data/noaa-gfs-forecast/FHKS78ERQ44CTNM127G0/points/192,369?variables=temperature_2m&run=2026-08-05T12%3A00%3A00Z",
    "catalog": "https://stac.dynamical.org/noaa-gfs-forecast/collection.json"
  },
  "data": {
    "temperature_2m": [
      22.75,
      24.375,
      26.25,
      "… 209 values, last 26.125"
    ]
  }
}

Ensembles

Products with an ensemble_member dimension return every member of the source archive, in order. The response replaces data with ensembleMembers; each entry keeps the archive's own member identifier and a data object with the same variable series a deterministic response would carry. Axes, units, and links are unchanged, so member 0 is read exactly like a deterministic forecast.

Members multiply the response: they count against the work budget below exactly as extra variables or lead times do. That is why this example trims the value axis — 31 members across a 35-day horizon is a large answer to ask for by accident.

dynamical.org - API

Ensemble forecast

curl -X POST 'https://api.dynamical.org/v1/forecasts' \
  -H 'content-type: application/json' \
  -d '{"queries":[{"dataProductId":"noaa-gefs-forecast-35-day","location":{"latitude":41.88,"longitude":-87.63},"maxLeadTimeHours":6,"variables":["temperature_2m"]}]}'

dynamical.org - API

Response

{
  "results": [
    {
      "query": {
        "dataProductId": "noaa-gefs-forecast-35-day",
        "location": {
          "latitude": 41.88,
          "longitude": -87.63
        },
        "variables": [
          "temperature_2m"
        ],
        "maxLeadTimeHours": 6
      },
      "dataProduct": {
        "id": "noaa-gefs-forecast-35-day",
        "version": "0.2.0"
      },
      "point": {
        "requested": {
          "latitude": 41.88,
          "longitude": -87.63
        },
        "selected": {
          "latitude": 42,
          "longitude": -87.75,
          "grid": {
            "latitudeIndex": 192,
            "longitudeIndex": 369
          }
        },
        "method": "nearest"
      },
      "forecasts": [
        {
          "initTime": "2026-08-05T00:00:00Z",
          "validTimes": [
            "2026-08-05T00:00:00Z",
            "2026-08-05T03:00:00Z",
            "2026-08-05T06:00:00Z"
          ],
          "leadTimeHours": [
            0,
            3,
            6
          ],
          "links": {
            "canonical": "/v1/data/noaa-gefs-forecast-35-day/9WPBYC65D777E9WQB0JG/points/192,369?variables=temperature_2m&run=2026-08-05T00%3A00%3A00Z&max_lead_time_hours=6"
          },
          "ensembleMembers": [
            {
              "member": 0,
              "data": {
                "temperature_2m": [
                  27.25,
                  25,
                  23.75
                ]
              }
            },
            {
              "member": 1,
              "data": {
                "temperature_2m": [
                  27.125,
                  25.125,
                  23.5
                ]
              }
            },
            "… 31 entries"
          ]
        }
      ],
      "variables": {
        "temperature_2m": {
          "unit": "degree_Celsius"
        }
      },
      "snapshotId": "9WPBYC65D777E9WQB0JG",
      "links": {
        "catalog": "https://stac.dynamical.org/noaa-gefs-forecast-35-day/collection.json"
      }
    }
  ]
}

Clients

dynamical.org - API

Python

import httpx

response = httpx.post(
    "https://api.dynamical.org/v1/forecasts",
    json={
        "queries": [
            {
                "dataProductId": "noaa-gfs-forecast",
                "location": {"latitude": 41.88, "longitude": -87.63},
                "variables": ["temperature_2m"],
            }
        ]
    },
    timeout=60,
)
response.raise_for_status()
forecast = response.json()["results"][0]["forecasts"][0]
for valid_time, value in zip(forecast["validTimes"], forecast["data"]["temperature_2m"]):
    print(valid_time, value)

dynamical.org - API

JavaScript

const response = await fetch("https://api.dynamical.org/v1/forecasts", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    queries: [
      {
        dataProductId: "noaa-gfs-forecast",
        location: { latitude: 41.88, longitude: -87.63 },
        variables: ["temperature_2m"],
      },
    ],
  }),
});
const { results } = await response.json();
const { validTimes, data } = results[0].forecasts[0];

dynamical.org - API

HTTPie

http GET api.dynamical.org/v1/forecasts/runs dataProductId==noaa-gfs-forecast limit==1

http POST api.dynamical.org/v1/analyses \
  queries:='[{"dataProductId":"noaa-mrms-conus-analysis-hourly",
              "location":{"latitude":41.88,"longitude":-87.63},
              "startTime":"2026-08-04T00:00:00Z",
              "endTime":"2026-08-04T06:00:00Z",
              "variables":["precipitation_surface"]}]'

Bounds and work units

A point request is cheap, but a careless one can ask for millions of values. These are the limits that keep the service predictable rather than a per-caller quota.

Bound	Limit
Queries per batch	10
Runs resolved per forecast query	10
Variables per query	25
Span per analysis query	31 days
Response values per batch	100,000

The work budget is the real size bound: values are counted across variables, times, runs, and ensemble members, and a batch that would exceed 100,000 is rejected rather than truncated. A successful response reports what it actually used in X-Dynamical-Work-Units — measure a small version of your query, then scale.

Errors

Errors are a JSON object with a detail string, or — for request-shape failures — FastAPI's validation array under the same key. Nothing is silently coerced: an unknown field, a naive timestamp, or a location off the grid is an error, not a guess.

Status	When	Example detail
404	No such data product	`Unknown data product 'nope'`
422	The request cannot be answered as written	`Location is outside the data product grid` `Data product 'noaa-gfs-analysis' is analysis, not forecast` `startTime must include a timezone`
429	Rate limit exceeded; honor `Retry-After`	`Request rate limit exceeded`
503	The upstream STAC catalog is unavailable	`Failed to load STAC catalog …`

A batch is all-or-nothing: if one query in queries fails, the whole request fails, so a 200 means every result is present.

API

Quickstart

Conventions

Endpoints

GET /v1/data-products

GET /v1/data-products/{dataProductId}

GET /v1/forecasts/runs

POST /v1/forecasts

POST /v1/analyses

GET /v1/data/{dataProductId}/{snapshotId}/points/{gridIndices}

Ensembles

Clients

Bounds and work units

Errors

GET `/v1/data-products`

GET `/v1/data-products/{dataProductId}`

GET `/v1/forecasts/runs`

POST `/v1/forecasts`

POST `/v1/analyses`

GET `/v1/data/{dataProductId}/{snapshotId}/points/{gridIndices}`