Relative humidity
percentkey rel_humidity_pctno NERC concept says exactly thisseries rel_humidity_pct
CalCOFI holds 27,941 values of it from 27,941 sampling events in one dataset, 2016–2022, at the surface.R Evaporation is the largest way the ocean loses heat, and how dry the air above it is drives that loss month by month across the North Pacific.C
- 27,941
- values
- 0
- flagged
- 2016–2022
- years
- 1
- dataset
- surface
- depth
- 9 of 12
- months
Measured in
1 dataset
i
One row per series, one cell per year, darker with more values — the same strip the front
door draws per dataset and a species page draws per taxon. Each row is one dataset's own
measurement_type; the label is written once, in the title above.
i
One row per series, one cell per year, darker with more values — the same strip the front door draws per dataset and a species page draws per taxon. Each row is one dataset's own measurement_type; the label is written once, in the title above.
-
series
rel_humidity_pct· source columnrel_humidity_pctno bound declared no flag at this grain no P01 concept
Explorerdb-queryERDDAPThis page as JSON R · Python · Parquet
Every way in 7 ways · ERDDAP · Parquet · R · Python · JSON
Read from measurements.json of release v2026.11.05, written at release by calcofi4db::build_measurements_catalog() beside taxa.json. The catalog's index is /measurements/; the JSON-LD on this page is a schema.org/DefinedTerm in the NERC P01 term set with a PropertyValue per series.
Explorerdb-querySELECT * FROM read_json('…/v2026.11.05/catalog.json')
-- objects[] WHERE table = 'obs_env'
-- AND partition_value = 'rel_humidity_pct'library(calcofi4r)
con <- cc_get_db() # the promoted release
tbl(con, "obs_env") |> filter(measurement_type %in% c("rel_humidity_pct"))import calcofi4py as cc
con = cc.cc_get_db()
con.sql("SELECT * FROM obs_env WHERE measurement_type IN ('rel_humidity_pct')").df()How it is measured underway, on the mast
Why it matters 3 ways to say it
other ways to say why · 2
- Humidity is needed with wind and air temperature to compute the heat the surface is losing at all. needs a citation before it can be the pick
- Wikipedia Humidity is the concentration of water vapor present in the air. Water vapor, the gaseous state of water, is generally invisible to the naked eye. Humidity · CC BY-SA 4.0 · rev. 1373534756
The record’s own history no climatology to depart from
Each year against the normal i
i
The release builds no climatology for this measurement, so there is no normal to draw a departure from.
Units and range percent · no bound declared declared · 0 flagged
percent
details
- bounds
- No physical bound is declared for this series in metadata/measurement_type.csv, so nothing is enforced at the ingest and the range below is simply what the release carries.
- observed
- Underway Meteorological (METS)
rel_humidity_pct7.765 · median 86.44 · 120 percent (5th–95th percentile 60–101) - flags
- Underway Meteorological (METS)
rel_humidity_pctcarries no quality code at the release grain; qual_ok keeps all 27,941. - baseline
- No climatology row is built for this measurement, so the Explorer draws values, not anomalies.
The familiar scale i
Bars are each series' 5th–95th percentile, the line its minimum to maximum, the ring its median;
the marks are metadata/measurement_scale.csv's, each hovering to its own source.
i
Bars are each series' 5th–95th percentile, the line its minimum to maximum, the ring its median;
the marks are metadata/measurement_scale.csv's, each hovering to its own source.
By depth · by month surface · 9 of 12 months
By depth i
Values per depth band at the release grain, one thin bar per series. The bands are the
record's own (0-10 … 2000+ m).
i
Values per depth band at the release grain, one thin bar per series. The bands are the record's own (0-10 … 2000+ m).
By month i
Values per calendar month, one row per series: CalCOFI's quarterly cruises show as peaks in
the months the ships sail.
i
Values per calendar month, one row per series: CalCOFI's quarterly cruises show as peaks in the months the ships sail.
Cite the release, v2026.11.05
Cite the release; each dataset's own citation, licence and DOI are on its page — Underway Meteorological (METS). The Explorer's Share → Cite writes it for the view you make.