about

lfpweather.com provides hyperlocal weather observations, air quality monitoring, bird species detection, and environmental data for the Lake Forest Park, Washington area. All data is collected from sensors deployed at a single residential observation site and served in real-time.

observation site

The station is built around three primary sensor platforms, each serving a distinct role in the observation pipeline.

Davis Vantage Pro 2 Plus

Professional-grade weather station providing core meteorological observations. The Plus package includes a solar radiation sensor and UV index sensor in addition to the standard temperature, humidity, pressure, wind, and rain suite.

AirGradient Outdoor

Dedicated air quality monitor measuring particulate matter, carbon dioxide, volatile organic compounds, and nitrogen oxides. Provides AQI, CO₂, TVOC, and NOx readings for comprehensive atmospheric quality assessment.

Solar-Powered BirdNET-Pi

A Raspberry Pi running the BirdNET neural network for real-time bird species identification via audio analysis. Deployed on solar power for continuous 24/7 operation. Detections are aggregated into rolling 24-hour species counts.

data points

The following measurements are collected and available as both current readings and 7-day historical trend charts.

Davis Vantage Pro 2 Plus

Measurement	Unit	Description
Temperature	°F	Outdoor air temperature
Humidity	%	Relative humidity
Barometric Pressure	inHg	Station pressure, adjusted to sea level
Wind Speed	mph	Sustained wind speed
Rain Rate	counts/hr	Current precipitation intensity
24-Hour Rain Totals	in	Cumulative rainfall over the past 24 hours
Solar Radiation	W/m²	Incoming solar irradiance
UV Index	index	Ultraviolet radiation intensity

AirGradient Outdoor

Measurement	Unit	Description
Air Quality Index (AQI)	index	Composite air quality score based on PM2.5
CO₂ Concentration	ppm	Ambient carbon dioxide levels
TVOC Index	index	Total volatile organic compound levels
NOx Index	index	Nitrogen oxide levels

BirdNET-Pi

Measurement	Unit	Description
Species Detection Count	detections/24h	Number of audio detections per species in a rolling 24-hour window

infrastructure

The data pipeline is built entirely in Go, with purpose-built applications handling sensor ingestion, data normalization, and API serving.

Collection

Go applications poll each sensor platform on regular intervals, handling protocol translation and data normalization before writing to the database.

Storage

All time-series data is stored in TimescaleDB, a PostgreSQL extension optimized for time-series workloads. This enables efficient querying for both real-time readings and historical aggregations.

Serving

A Go API layer serves data to this Next.js frontend. External integrations include NWS forecasts, ElectricityMaps power grid data, and RaspberryShake seismic observations.