This dashboard is a curated advisory demo for runway operations. It blends short-range HRRR and RAP forecasts with a small runway catalog and reference aircraft profiles to estimate headwind / crosswind components, pressure and density altitude, and a rough runway margin over time.
Under the hood, the page resolves runway geometry and aircraft coefficients from lightweight metadata endpoints, then issues a standard
GribStream /api/v2/[dataset]/timeseries request with forecast variables plus chained calculated expressions. That means the
aviation-specific logic is transparent and reproducible from the public API rather than hidden behind a custom server-side endpoint.
The formulas are intentionally simple and conservative: they use forecast weather plus aircraft-specific reference numbers and generic penalties / credits for density altitude, tailwind, headwind, weight, and runway condition. This is useful for demos, planning conversations, and customer presentations.
The example below is the same style of request the dashboard makes for KASE RWY 15 with a Cessna 172S reference profile. The field elevation, runway heading, runway length, and aircraft coefficients come from the metadata endpoints, while the weather variables and derived performance fields are computed in one standard API call.
curl -X POST 'https://gribstream.com/api/v2/hrrr/timeseries' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer [API_TOKEN]' \
-d '{
"fromTime": "2026-04-11T17:42:52Z",
"untilTime": "2026-04-12T12:42:52Z",
"minLeadTime": "0h",
"maxLeadTime": "36h",
"coordinates": [
{ "lat": 39.2232, "lon": -106.8688, "name": "KASE RWY 15" }
],
"variables": [
{ "name": "TMP", "level": "2 m above ground", "alias": "temp_k" },
{ "name": "DPT", "level": "2 m above ground", "alias": "dew_k" },
{ "name": "PRES", "level": "surface", "alias": "pres_pa" },
{ "name": "GUST", "level": "surface", "alias": "gust_ms" },
{ "name": "UGRD", "level": "10 m above ground", "alias": "u_ms" },
{ "name": "VGRD", "level": "10 m above ground", "alias": "v_ms" }
],
"expressions": [
{ "expression": "temp_k - 273.15", "alias": "temp_c" },
{ "expression": "dew_k - 273.15", "alias": "dew_c" },
{ "expression": "pres_pa / 3386.389", "alias": "station_inhg" },
{ "expression": "station_inhg / func.Pow(1 - (7820 * 0.3048) / 44330.0, 5.255)", "alias": "altimeter_inhg" },
{ "expression": "func.Hypot(u_ms, v_ms) * 1.94384", "alias": "wind_kt" },
{ "expression": "gust_ms * 1.94384", "alias": "gust_kt" },
{ "expression": "(int(270 - func.Atan2(v_ms, u_ms) * 180 / 3.14159) + 360) % 360", "alias": "wind_dir_deg" },
{ "expression": "(wind_dir_deg - 150) * 3.14159 / 180", "alias": "angle_rad" },
{ "expression": "wind_kt * func.Cos(angle_rad)", "alias": "headwind_kt" },
{ "expression": "func.Max(headwind_kt, 0.0)", "alias": "headwind_pos_kt" },
{ "expression": "func.Max(-headwind_kt, 0.0)", "alias": "tailwind_kt" },
{ "expression": "func.Abs(wind_kt * func.Sin(angle_rad))", "alias": "crosswind_kt" },
{ "expression": "func.Abs(gust_kt * func.Sin(angle_rad))", "alias": "gust_crosswind_kt" },
{ "expression": "7820 + (29.92 - altimeter_inhg) * 1000", "alias": "pressure_alt_ft" },
{ "expression": "15 - 1.98 * pressure_alt_ft / 1000", "alias": "isa_temp_c" },
{ "expression": "pressure_alt_ft + 120 * (temp_c - isa_temp_c)", "alias": "density_alt_ft" },
{ "expression": "9.600", "alias": "crosswind_baseline_kt" },
{ "expression": "1630 * func.Pow(90 / 100.0, 1.7) * (1 + func.Max(density_alt_ft, 0.0) / 1000.0 * 0.140) * 1.0 * (1 + tailwind_kt * 0.040) / func.Max(0.75, 1 + headwind_pos_kt * 0.012)", "alias": "takeoff_req_ft" },
{ "expression": "1335 * func.Pow(90 / 100.0, 1.45) * (1 + func.Max(density_alt_ft, 0.0) / 1000.0 * 0.050) * 1.0 * (1 + tailwind_kt * 0.030) / func.Max(0.80, 1 + headwind_pos_kt * 0.010)", "alias": "landing_req_ft" },
{ "expression": "8006", "alias": "runway_length_ft" },
{ "expression": "runway_length_ft - takeoff_req_ft", "alias": "takeoff_margin_ft" },
{ "expression": "runway_length_ft - landing_req_ft", "alias": "landing_margin_ft" },
{ "expression": "func.Min(takeoff_margin_ft, landing_margin_ft)", "alias": "min_margin_ft" }
]
}'
wind * cos(angle) and wind * sin(angle).field elevation + (29.92 - altimeter setting) * 1000.pressure altitude + 120 * (OAT - ISA temperature).Background and references: GribStream expressions · FAA Pilot's Handbook of Aeronautical Knowledge · FAA Airplane Flying Handbook · Pressure altitude · Density altitude.
Not for operational use. This page is not a substitute for the aircraft flight manual, airport data package, company SOPs, or dispatch / pilot performance calculations. Use it as a visual explainer for what GribStream can power, not as a go / no-go authority.