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Weather Data and Operational Impact Workspace

Connect NOAA/National Weather Service observations and hourly forecasts to your work requirements and costs. See which conditions limit a schedule, compare forecast revisions, and inspect missing data. BusCalc calculations are separate from official weather information.

Choose an analysis · Energy and price references · MCP/API access

1. Fetch official weather data

Nationwide US lookup, including Alaska and Hawaii. Choose city/state, a ZIP-area point, your browser location, or coordinates. City and ZIP matching uses Census representative points, not exact addresses. Coordinates are rounded to 0.01 degree before being sent to NWS. Browser location permission is requested only when you choose Use my location. Availability varies by location and product; unavailable data is never an all-clear. Source requests are cached for five minutes. Enter a location below and weather loads automatically once it is matched.

Use either city/state or ZIP. Census ZIP areas do not include every postal ZIP.

Enter a ZIP or city/state. A clear match loads weather automatically; if there are multiple matches, choose your location.

Enter coordinates instead

Source timestamps and elapsed ages appear after fetching.

No live data loaded. Illustrative examples are available below.

Snapshots are explicit local downloads. Nothing is saved to a BusCalc account or sent to an agency. A future forecast may change. Station observations are not measurements at your site. When primary readings are missing or delayed, BusCalc checks an official Aviation Weather Center backup for a reading no more than 90 minutes old and within 80 miles. Backup source and distance are shown; it can share upstream station data and is not guaranteed to be available.

Try an example location

Optional examples are real places. Choosing one loads its current available weather.

Optional NOAA coastal observation

Fetch a NOAA CO-OPS water-level station independently of the weather location. Metres relative to the station’s local MLLW datum; preliminary/flagged data can be revised. Not a tide forecast, flood-depth estimate or navigational clearance.

Example: 8735180, Dauphin Island, Alabama.

2. Apply data to a specific analysis

Applying never recalculates automatically. Review limits and costs. Hourly analysis accepts up to 48 full hours; revision analysis compares up to 24 common hours to remain within the API’s 16 KB request limit. You can choose another start hour.

Advanced: inspect or edit the applied hourly data

Use two genuine forecast snapshots for the same location and valid hours. A snapshot taken later is not an observation. Only common valid hours are compared, with identical job assumptions.

Supply real, time-matched forecast/observation pairs for the same place and temperature definition. This method does not fabricate observations or automatically equate station and site temperatures.

Results

Choose a method and enter its figures.

What makes this useful?

The work-window method explains how supplied limits affect available hours and conditional costs. Revision analysis measures when changed forecasts flip a job’s criteria or change its disruption scenario, on matched valid hours only. These are decision-impact calculations, not a new weather forecast or evidence that NOAA lacks comparable analysis.

Reproducible feedback for weather/data providers

Download the source snapshot and data-quality report to review timestamps, missing values, station coverage and hourly gaps. An analysis receipt records formulas, inputs and results. A useful report identifies the place, valid period, source issue time and exact reproducible issue. User-specific operating costs may add context, but do not establish forecast skill or actual economic impact. Nothing is sent to NOAA/NWS automatically, and no private business figures are collected for agency feedback.

Methods and illustrative results

Forecast work windows & disruption budget

An hourly forecast matches only when every required value is known and within the entered limits and working hours; group consecutive matching hours; scenario cost = nonmatching/unknown scheduled hours × crew × entered hourly cost + fixed scenario cost.

Scheduled forecast hours assessed
8 hours
Hours matching every entered limit
6 hours
Scheduled hours with missing required data
0 hours
Qualifying continuous windows
2 count
Longest matching continuous window
3 hours
Disruption cost if every nonmatching or unknown scheduled hour incurs entered costs
120 USD
Matching window
2026-11-05T08:00:00-06:00 to 2026-11-05T11:00:00-06:00 (3 hours) text
Matching window
2026-11-05T13:00:00-06:00 to 2026-11-05T16:00:00-06:00 (3 hours) text
Scheduled hours outside temperature limit
0 hours
Scheduled hours outside sustained wind limit
1 hours
Scheduled hours outside precipitation probability limit
1 hours
Scheduled hours outside humidity limit
0 hours
Heating/cooling degree-hours & load scenario

Heating degree-hours = sum(max(0, balance°F−forecast°F) × interval hours); cooling degree-hours use the opposite difference. Modeled heating input kWh = heating degree-hours × heat-loss coefficient / COP.

Known temperature hours
8 hours
Missing temperature hours
0 hours
Heating degree-hours
15 °F-hours
Cooling degree-hours
3 °F-hours
Modeled useful heating requirement
3 kWh thermal
Modeled heating input energy
3 kWh input equivalent
Modeled heating energy cost
0.48 USD
Rain capture and surface runoff scenario

Gross US gallons = rain inches × area ft² × 144 / 231; collectible = gross × collection fraction; stored = min(collectible, available storage).

Gross water over catchment
623.376623 US gallons
Collectible scenario water
498.701299 US gallons
Stored within available capacity
498.701299 US gallons
Collectible water exceeding storage
0 US gallons
Temperature, dew point & condensation margin

Magnus approximation: gamma = ln(RH/100)+17.625×T°C/(243.04+T°C); dew point°C = 243.04×gamma/(17.625−gamma); surface margin = surface temperature−dew point.

Approximate dew point
55.479763 °F
Surface temperature above dew point
4.520237 °F
Condensation scenario
Surface is above calculated dew point text
Forecast revision decision-impact analysis

Align earlier and later forecasts by identical valid hourly intervals; apply the SAME entered work limits and costs to both; count decision flips and compare available windows and disruption-cost scenarios on the common coverage only.

Common valid hours compared
8 hours
Earlier-only hours excluded
0 hours
Later-only hours excluded
0 hours
Hours losing a match to entered limits
2 hours
Hours gaining a match to entered limits
0 hours
Compared hours with unknown required values
0 hours
Earlier qualifying windows
1 count
Later qualifying windows
2 count
Earlier conditional disruption cost
0 USD
Later conditional disruption cost
120 USD
Conditional cost change caused by forecast revision
120 USD
Paired temperature forecast verification

For explicitly time-matched temperature pairs: error = forecast°F−observed°F; bias = mean(error); MAE = mean(abs(error)); RMSE = sqrt(mean(error²)).

Matched temperature pairs
2 count
Mean forecast-minus-observation bias
0.5 °F
Mean absolute error
1.5 °F
Root mean square error
1.581139 °F
Mean entered forecast lead time
36.5 hours
Weather-window mobilization & revisit economics

Productive capacity per visit = window−setup−cleanup; visits = ceil(required productive hours/capacity); mobilization cost per visit = miles×vehicle rate + crew×loaded wage×(travel+setup+cleanup) + other visit costs; net contribution = productive hours×contribution/hour − visits×mobilization cost.

Mobilization and overhead cost per visit
141 USD
Productive capacity per visit
3 hours
Whole visits required
3 count
Total mobilization and visit overhead
423 USD
Additional overhead compared with one visit
282 USD
Net contribution after all visit overhead
537 USD
Productive hours needed to cover one visit overhead
1.175 hours
Consecutive on-site hours needed to cover one visit overhead
2.175 hours

Current data, forecasts and probabilities

Latest available does not mean instantaneous. NWS observations can be delayed by reporting and quality checks; station conditions may differ from your site. Forecast grids represent an area, not an on-site sensor. We show observation, forecast and fetch timestamps separately. A timestamp ending in Z is UTC; hourly periods retain their explicit local UTC offset. Refreshing updates the source display, never the inputs or results of an existing analysis. Source precipitation percentages are NWS forecast probabilities for their stated periods, not the probability that a job succeeds. We do not multiply hourly probabilities or assign a custom safety score.

Privacy-conscious usage analysis

We count server lookup outcomes and browser-reported feature use and calculation successes/errors without saving your location searches, GPS coordinates, job figures or results in usage reports. Rotating daily network estimates do not identify people or link their activity across days. No new tracking cookies are added. See privacy details.

Source data, attribution and limits

Official source text remains attributed. BusCalc conversions, charts and calculations are labeled separately. No endorsement or affiliation is claimed. Temperature, sustained wind, gusts, precipitation probability and measured rain are different quantities. Missing observations and failed alerts are shown as unavailable, never as zero or an all-clear. Confirm official warnings and site-specific requirements; this tool is not an emergency-alert delivery system.

Forecasts older than 24 hours cannot be newly loaded. Station observations older than three hours and coastal readings older than one hour are labeled old. Existing analysis is a supplied snapshot, not an automatically updating forecast.