Data provided graciously by https://weather.gladstonefamily.net
and the Citizen Weather Observer
Program. Also the NOAA National Weather Service.
Other National maps. This one is Interactive
The source code for collecting data and generating charts is available on request. Charts are refreshed nightly.
View Data Quality Report - Monitor data freshness, completeness, range validation, energy trends, and seasonality patterns across all weather stations and energy data sources.




These are newer Citizen Weather Observer Program (CWOP) stations in the area, started in 2024-2025.
Weekly average temps by week number |
60-day daily temperature comparison |
Weekly average temps by week number |
60-day daily temperature comparison |




![]() Figure 9. KPWM Weekly temperature and electricity for the period of record |
![]() Figure 10. E4279 Weekly temperature and electricity for the period of record |

Daily cost is metered kWh priced at the current CMP marginal rate (volumetric delivery + Standard Offer supply, taken from the latest uploaded bill and shown in the title). Since solar, the SolarEdge lines price grid import and total household consumption the same way. A fixed $0.18/kWh was used until April 4, 2023 and $0.25/kWh after that.







Degree days are based on the assumption that when the outside
temperature is 65°F, we don't need heating or cooling to be comfortable.
Degree days are the difference
between the daily temperature mean,
(high temperature plus low temperature divided by two) and 65°F. If the temperature mean is above 65°F, we
subtract 65 from the mean and
the result is Cooling Degree Days. If the temperature mean is below 65°F, we subtract the mean from 65 and the
result is Heating Degree Days.







View Energy Analysis - Statistical analyses of how weather drives this home's energy use, on their own page: temperature response and hour-of-day load profiles, efficiency change points, summer cooling and humidity, wind effects on heating, weather-station comparison, anomaly detection, cost per degree-day, bill-vs-meter and net-metering reconciliation, and balance-point shift.
Installed system (January 2026): 12.18 kW DC — 29 × REC420AA Pure 2 heterojunction modules (420 W, 21.7% efficiency, −0.24%/°C) with a per-module SolarEdge S440 optimizer, feeding a SolarEdge SE11400H-US Home Hub inverter (11.4 kW AC, 99% CEC efficiency, DC/AC ratio 1.07). Roof-mounted at tilt 37°, azimuth 215° (WSW). Grid-tied and net-metered with CMP; no battery (inverter is storage-ready). Module warranty 25 yr at 0.25%/yr degradation. Monitoring is revenue-grade, reporting to SolarEdge every 15 minutes.
Modeled expectations: two independent unshaded models agree within 1.3% — the installer design estimate (15,441 kWh/yr) and a PVGIS-5 run at the exact roof geometry (15,649 kWh/yr, ≈1,285 kWh/kWp). The steep 37° tilt flattens seasonality (July only ~1.9× December), which suits this home's winter heat-pump load. Tree shading and snow are not in these models; the design-vs-actual analysis below measures the real-world correction from monitoring data continuously and re-projects the current year and the 25-year outlook from it.
The charts below show how solar energy flows through the home: production is split between direct home use ("To Home") and export to the grid ("To Grid"), while consumption shows what comes from solar versus grid import.

Figure 26. Daily Energy Bars - Horizontal stacked bars showing today's energy breakdown. Production shows solar energy generated, split into power used directly by the home (green) and exported to the grid (blue). Consumption shows total home energy use, split between solar-sourced (light blue) and grid-imported (orange).

Figure 27. Daily Site Power - 15-minute resolution power flow throughout the day. Production appears above the zero line, consumption below. The overlap of "To Home" and "From Solar" represents self-consumed solar energy. Peak production typically occurs around solar noon; morning and evening grid imports cover demand when solar production is insufficient.

Figure 28. Weekly Energy Bars - Daily production and consumption totals for the past week. Day-to-day variation reflects weather conditions (cloud cover reduces production) and household activity patterns. The stacked colors show the breakdown between self-consumption, grid export, and grid import.

Figure 29. Weekly Site Power - Seven days of 15-minute power data showing the daily solar generation pattern. Clear days show smooth bell curves; cloudy days show irregular production. This view helps identify weather impacts and consumption patterns over the week.

Figure 30. Weekly Net Energy - Daily net energy balance (production minus consumption). Blue bars above zero indicate days when solar production exceeded household consumption (surplus exported to grid). Orange bars below zero indicate days when consumption exceeded production (deficit imported from grid). This view quickly shows whether the home is a net producer or consumer on any given day.

Figure 31. Monthly Net Energy - Monthly net energy balance showing the cumulative effect over longer periods. Positive months (blue) indicate net energy export to the grid; negative months (orange) indicate net grid import. Over a full year, this chart will reveal seasonal patterns - expect surpluses in sunny months and deficits in winter when days are shorter and heating loads higher.

Figure 32. Monthly Energy Bars - Monthly production and consumption totals for all available data, using the same side-by-side stacked bar layout as the weekly chart (Figure 28). Each month shows two bars: Production (left) split between energy used directly by the home (green) and exported to the grid (blue); Consumption (right) split between solar-sourced (light blue) and grid-imported (orange). Seasonal patterns are clearly visible — summer months show high production with significant grid export, while winter months show lower production and heavier grid import to meet household demand.
View Solar Design-vs-Actual Report - A narrative assessment, rebuilt nightly, of how measured production compares to the PVGIS design model month by month, the learned real-world correction factor, and continuously re-adjusted projections for the current year and the 25-year system life.

Figure 33. Modeled vs. Actual Monthly Production - Monthly SolarEdge production measured against the unshaded PVGIS design model. The ratio panel tracks actual/model by month; the learned correction factor (production-weighted over complete months) turns the unshaded model into a measured real-world expectation, absorbing tree shading, snow, and weather in one number that sharpens as months accumulate.

Figure 34. Adjusted Production Outlook - The current year assembled from measured months plus correction-adjusted model for the remainder, then projected across the 25-year module warranty life at 0.25%/yr degradation. Shown against the unshaded model ceiling and the installer design estimate for context.
Bottom line: measured to date, the system can deliver this household's annual electricity needs. The house uses about 14,731 kWh per year (average of 2021–2025); the array's measurement-adjusted output is 15,551 kWh per full year — 106% of annual needs.
Panel aging (0.25%/yr) erodes this slowly: coverage stays above 100% until 2048, ending the 25-year warranty life at 99%.
For 2026 itself (a partial year — commissioned January 28), estimated production of 14,910 kWh covers 101% of the needs baseline. Consumption is currently pacing 17,541 kWh/yr (above the historical average — watch this: rising use shrinks coverage).
Coverage is an annual statement, not a monthly one: so far in 2026 the house was a net exporter in April, May, June and a net importer the other months. Under CMP net-energy billing the summer surplus banks as credits (12-month rolling) that pay down winter deficits — which is why the annual number is the one that matters.
Recomputed 2026-10-23 12:37 AM EDT from SolarEdge monitoring, the CMP interval meter, and the PVGIS design model (correction factor 0.994, 8 complete months). Method and detail: Solar Design-vs-Actual Report.

Figure 35. Solar Bill Savings vs. Standard-Rate CMP Bills - For every CMP billing window since the array began earning net-metering credits, the blue bar is what CMP would have billed without solar: true household consumption (SolarEdge monitoring, or meter import + production − export) priced at the tariff printed on that window's own bill — the delivery minimum covering the first 50 kWh, the volumetric delivery rate above that, and the Standard Offer supply rate. The green bar is the actual CMP bill (delivery + supply). The lower panel accumulates the difference. Hatched windows fall after the most recent uploaded bill and are estimates: measured consumption at the last known tariff, with the actual bill modeled from a running net-metering credit bank; they are replaced by real figures as bills are uploaded. Arcadia community-solar statements, which ended in February 2026, are excluded. The yellow box compares cumulative savings against the actual amount paid for the system, $38,810.59.

Figure 36. Solar Payoff - The cumulative savings from Figure 35 drawn against the up-front cost of the system, $38,810.59, with no federal tax credit received. The solid line is measured savings by billing window (hollow marker: the current, not-yet-billed window). The dashed line carries the measured savings pace forward at today's tariff; the dotted line applies the 4%/yr rate escalation the installer's proposal assumed; the dash-dot line applies the electricity price rise actually measured here over the previous three years, a log-linear fit of the annual median $/kWh from the Figure 24 series through the current year to date, with the rate shown in the legend. Diamonds mark where each projection crosses the system cost. The pace is billed savings divided by billed days, annualised, so it firms up as more windows are billed and will shift with the first winter, when consumption is highest. Projections assume consumption stays at today's level and that summer net-metering credits keep covering winter deficits, which the annual-coverage analysis above supports.

Figure 38. Interactive map served from weathermap.fluidgrid.site via MapLibre GL and PMTiles
Figure 39. Plumbing. This is how this site is maintained.

Figure 40. A naked Raspberry Pi 3B

Figure 41. The Pi in action. USB-powered and connected over WiFi.