Weather station data from your own field: raw readings, hourly and daily series

Raw uplinks about every 10 minutes plus hourly and daily roll-ups, 33 fields across 3 datasets: temperature, humidity, pressure, light, rainfall, wind, position, battery and radio telemetry.

Catalogue entries: Weather station readings, Hourly weather roll-up, Daily weather roll-up.

Questions this data answers

How cold did it get on this field last night, against the last 30 nights, for frost damage claims and variety choice?
How much rain fell on this field this week, day by day, rather than at the nearest airport?
What did the station read in the last hour: temperature, humidity, pressure, light, rain, battery?
Is the battery trending down over the month, and will the station go quiet before the panel is checked?
When did the station last report, and where are the gaps in the radio link?
What was the daily mean temperature and humidity through August on this field, for the agronomy report?

On this page

Questions this data answers
3 views of 1 station
Reading the weather station data samples
Gaps in the weather station data
Reading the station battery
Access to the weather station data
Fields and call: Weather station readings
Fields and call: Hourly weather roll-up
Fields and call: Daily weather roll-up
Related datasets

3 views of 1 station

A station reports about every 10 minutes, and the platform keeps 3 separate views of those same readings. The raw series is every uplink exactly as sent: temperature, humidity, pressure, light and its peak, rainfall at 0.2 mm resolution, wind speed, gusts and direction wherever an anemometer is fitted, position when the receiver has a fix, battery voltage and percent, and radio telemetry. The hourly view takes the mean of each hour with rainfall summed instead. The daily view takes the mean of each day plus the battery fields, the series behind a month or a season, 1 row per day. A chart over a week should read the hourly view; a chart over a season, the daily view; a question about a single reading goes straight back to the raw series.

Reading the weather station data samples

The 10 raw uplinks shown here come from the potato station at Naivasha, about 2,490 m above sea level, which is exactly why the barometer reads 760 hPa. The 24-hour chart runs temperature from 10 °C before dawn to 24 °C in the early afternoon and humidity from above 90 % down to near 40 % across those same hours, precisely the pair the derived variables turn into dew point and vapour-pressure deficit. The 30-day chart shows highland nights near 8 to 10 °C against days near 23 to 25 °C, a 14-degree swing every single day, with no rain across the whole window.

Gaps in the weather station data

A gap in the series is either a gap in the radio link or a station that simply lost power. An hourly mean gets computed from whatever packets arrived, the risk models count the missing hours against their own data completeness, and the alert rules find nothing at all in a silent window rather than guessing. A station uploading in bursts on a marginal link can read as offline on a short check and complete on a longer one, so the window matters.

Reading the station battery

The daily view keeps battery specifically because it’s the field that predicts an outage before it happens. A station on solar reads 100 % through a sunny day and drops steadily through a cloudy week, and the daily mean makes that trend visible. A mean sliding under 80 % is the actual signal to check the panel, before the station goes quiet on its own.

Access to the weather station data

Served only to keys on the account that owns the station, and only for stations approved for exposure. A new station always arrives as pending and only answers over the API once approved. On an account running several stations, gateway_id picks one directly; leave it out and the primary station answers instead.

Weather station readings

Raw ~10-minute uplinks from the gateway weather station. Firmware-calibrated; the MQTT bridge is pass-through.

The last 10 uplinks, the potato station at Naivasha, 2,490 m

Time UTC	°C	RH %	hPa	lux	lux max	rain mm	battery %	V	LoRa rx
09:07	22.6	48.5	761.2	7520	21220	0	100	14.57	489
09:17	22.7	50.2	761.2	7562	21188	0	100	14.52	493
09:27	22.7	49.1	760.8	6922	8907	0	100	14.55	495
09:38	23.1	56.1	760.8	14401	18887	0	100	14.56	498
09:48	21.2	59.9	760.9	7487	10706	0	100	14.54	503
09:58	19.5	67.7	760.9	2335	3800	0	100	14.23	505
10:08	16.9	90.2	760.9	2029	2439	0	100	14.14	507
10:18	—	—	—	—	—	—	—	—	—
10:28	—	—	—	—	—	—	—	—	—

Pressure near 760 hPa is the station altitude, about 2,490 m. lora_rx_count is link telemetry. Wind fields are absent on this station; stations with an anemometer report them.

Dataset idfarm.weather.raw

Cadence~10 min

EndpointGET /farm/weather

Key scopefarm:read

Declared fields20

History2026-03 to today

Coverageyour own stations

StatusOwn sensors, own account

Narrowed to your own gateways and to devices approved for API exposure.

Only for the account that owns the hardware. Readings and everything computed from them are served to keys on the owning account and to nobody else. The way to get this dataset is a station on your own field, or your own sensors sent in through Sensor Ingest. A NuaSense station on the field is what produces these rows; the hardware is described at nuasense.com/products.

Fields

Field	Unit	Note
temperature	°C	air temperature
humidity	%
pressure	hPa
light	lux
light_max	lux
rainfall	mm
wind_speed	m/s
wind_gusts	m/s
wind_direction	°
gps_lat	°	only when gps_fix=true
gps_lon	°	only when gps_fix=true
gps_alt	m	only when gps_fix=true
battery_voltage	V
battery_percent	%
lora_rx_count	—	link telemetry
fw_version	—	link telemetry
rain_clicks	count	fw19 raw — ×0.2691 = rainfall mm
wind_clicks	count	fw19 raw
wind_hz_avg	Hz	fw19 raw — ×0.667 = wind_speed m/s
wind_hz_peak	Hz	fw19 raw — peak, feeds wind_gusts

Filters

gateway_id

The same call, three ways

curl -G https://api.nuasense.com/api/nuasense/v1/farm/weather \
  -H "Authorization: Bearer nua_live_…" \
  -d start=-30d -d start=-24h -d fields=temperature,humidity,rainfall

Through the MCP connector the same read is the platform_dataset tool with dataset=farm.weather.raw. Through a scheduled export it is one job with the same filters, delivered as a file. Every dataset takes the same arguments: start and end, every with agg, fields, limit up to 5,000, order, and the tags it declares.

Hourly weather roll-up

Hourly means of the gateway weather station's own readings — temperature, humidity, pressure, rainfall, wind speed and gusts, and light — rolled up server-side from the raw uplinks.

24 hours, hourly means, the potato station at Naivasha, 2,490 m

temperaturehumidity ÷ 4 °C (humidity ÷ 4 in grey)

26.817.78.6

11:0014:0017:0020:0023:0002:0005:0010:00

Temperature and humidity move against each other through the day: humidity above 90 % before dawn, near 40 % in the afternoon. The derived variables page turns this pair into dew point and vapour-pressure deficit.

Hour UTC	°C	RH %	hPa	lux	battery %
11:00	23.5	51.3	760.8	12727	—
12:00	16.2	87.6	760.3	2070	—
13:00	17	92.8	759.8	4934	—
14:00	19.7	79.4	759.8	5057	—
15:00	17.1	94.1	760.1	2391	—
16:00	15.3	100	760.6	86	—
17:00	14.5	100	760.8	0	—
18:00	14.6	100	761.4	0	—
19:00	14.3	100	761.8	0	—
20:00	14	100	761.9	0	—
21:00	13.7	100	761.9	0	—
22:00	12.8	100	761.8	0	—
23:00	12.7	100	761.2	0	—
00:00	12.2	100	760.8	0	—
01:00	11.4	100	760.8	0	—
02:00	11	100	760.5	0	—
03:00	10.8	100	760.8	0	—
04:00	10.4	100	761.4	206	—
05:00	12.4	100	762.1	1277	—
06:00	14.6	94.6	762.5	2093	—
07:00	17.6	74.5	762.7	2152	—
08:00	20.3	68.7	762.2	11773	—
09:00	23.5	54.1	761.7	27662	—
10:00	22.8	51	761	9101	—

Hourly rows are means of the ~6 uplinks inside each hour, computed server-side. Rainfall in the hourly roll-up is the hour's sum.

Dataset idfarm.weather.hourly

Cadencehourly

EndpointGET /farm/weather/hourly

Key scopefarm:read

Declared fields7

History2026-03 to today

Coverageyour own stations

StatusOwn sensors, own account

Narrowed to your own gateways and to devices approved for API exposure.

Fields

Field	Unit	Note
temperature	°C
humidity	%
pressure	hPa
rainfall	mm
wind_speed	m/s
wind_gusts	m/s
light	lux

Filters

gateway_id

The same call, three ways

curl -G https://api.nuasense.com/api/nuasense/v1/farm/weather/hourly \
  -H "Authorization: Bearer nua_live_…" \
  -d start=-30d -d start=-24h -d fields=temperature,humidity,rainfall

Through the MCP connector the same read is the platform_dataset tool with dataset=farm.weather.hourly. Through a scheduled export it is one job with the same filters, delivered as a file. Every dataset takes the same arguments: start and end, every with agg, fields, limit up to 5,000, order, and the tags it declares.

Daily weather roll-up

Daily means of the gateway weather station's own readings — temperature, humidity, pressure, light and the battery state of the station — rolled up server-side from the raw uplinks.

30 days of daily extremes and rain, the potato station at Naivasha, 2,490 m

daily maxdaily min °C

30.316.83.4

09-1909-2309-2710-0110-0510-0910-1310-19

Highland nights: minimum near 8 to 10 °C, maximum near 23 to 25 °C, a 14-degree daily swing. The frost advisory reads the forecast minimum against this history.

mm per day

000

09-1909-2309-2710-0110-0510-0910-1310-19

Rain totals from the tipping bucket. A dry August into September; the water balance below stays on stored soil water and irrigation.

Day	Mean °C	RH %	hPa	lux	Battery %
10-10	15.7	87.8	761	3694	99.2
10-11	15.1	91.1	760.4	5765	98.4
10-12	15.2	83.6	760.4	5675	99
10-13	15.2	74.9	761.2	5169	98.9
10-14	15.7	58.5	761.2	6109	98.2
10-15	15.8	82.7	760.5	3771	99.1
10-16	15.1	89.6	760.2	5291	98.4
10-17	15.2	90.4	760.3	3503	99.2
10-18	15.4	90.5	760.9	3549	98.9
10-19	15.3	91.7	761.3	2619	98.9

Last 10 daily rows. The daily roll-up carries means; extremes and sums are read from the raw series with every=1d and agg=min, max or sum.

Dataset idfarm.weather.daily

Cadencedaily

EndpointGET /farm/weather/daily

Key scopefarm:read

Declared fields6

History2026-03 to today

Coverageyour own stations

StatusOwn sensors, own account

Narrowed to your own gateways and to devices approved for API exposure.

Fields

Field	Unit	Note
temperature	°C
humidity	%
pressure	hPa
light	lux
battery_voltage	V
battery_percent	%

Filters

gateway_id

The same call, three ways

curl -G https://api.nuasense.com/api/nuasense/v1/farm/weather/daily \
  -H "Authorization: Bearer nua_live_…" \
  -d start=-30d -d start=-24h -d fields=temperature,humidity,rainfall

Through the MCP connector the same read is the platform_dataset tool with dataset=farm.weather.daily. Through a scheduled export it is one job with the same filters, delivered as a file. Every dataset takes the same arguments: start and end, every with agg, fields, limit up to 5,000, order, and the tags it declares.

Weather station data from your own field: raw readings, hourly and daily series

Questions this data answers

3 views of 1 station

Reading the weather station data samples

Gaps in the weather station data

Reading the station battery

Access to the weather station data

Weather station readings

The last 10 uplinks, the potato station at Naivasha, 2,490 m

Fields

Filters

The same call, three ways

Hourly weather roll-up

24 hours, hourly means, the potato station at Naivasha, 2,490 m

Fields

Filters

The same call, three ways

Daily weather roll-up

30 days of daily extremes and rain, the potato station at Naivasha, 2,490 m

Fields

Filters

The same call, three ways

Related datasets