CalCOFI.io CalCOFI.io open data ecosystem
Measurement · Meteorology & Sea State · percent

Relative humidity

key rel_humidity_pct series rel_humidity_pct
27,941
values
0
flagged
27,941
sampling events
2016–2022
years
1
dataset
surface
depth
Jan · Feb · Mar · Apr · May · Jul · Aug · Oct · Nov
seasons
What
How
underway, on the mast

not found on calcofi.org ↗
Why

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

other ways to say why · 2
  • authored 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 measurement

Measured in
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.

  • Underway Meteorological (METS) 27,941 values · 27,941 sampling events · 2016–2022 · surface · 109 grid cells · 20 cruises
    series rel_humidity_pct · source column rel_humidity_pct no bound declared no flag at this grain no P01 concept

How it is measured

Underway Meteorological (METS) · underway, on the mast
no flag at this grain
not found on calcofi.org ↗

Why it matters

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.

The record’s own history
i

The release builds no climatology for this measurement, so there is no normal to draw a departure from.

The record

Ways in
i

Read from measurements.json of release v2026.10.14, 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-query
ERDDAP · Underway Meteorological (METS)CalCOFI's own server, the Underway Meteorological (METS) table constrained to this series
https://erddap.calcofi.io/erddap/tabledap/calcofi_mets.html?&measurement_type=%22rel_humidity_pct%22

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).

By month
i

Values per calendar month, one row per series: CalCOFI's quarterly cruises show as peaks in the months the ships sail.

Range & quality

boundsno bound declaredobserved7.765 … 120 percentflagged0baselineno climatology
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_pct 7.765 · median 86.44 · 120 percent (5th–95th percentile 60–101)
flags
Underway Meteorological (METS) rel_humidity_pct carries 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.

Cite

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.