Reported potential temperature (pre-QC)
- 849,317
- values
- 0
- flagged
- 34,834
- sampling events
- 1949–2021
- years
- 1
- dataset
- 0–5,351 m
- depth
- every month
- seasons
stands in: temperature’s face, pre-QC reported reading
No definition of its own: the estimate is described by its derivation, under How.
Reversing thermometers on the bottles (pre-QC reading)
CTD FAQ circa 2020 on calcofi.org ↗EOV Subsurface temperature
CalCOFI holds 849,317 values of it from 34,834 sampling events in one dataset, 1949–2021, from the surface to 5,351 m. At 10–50 m it has risen 0.09 per decade since 1984.R Temperature sets the water’s density, and so the layering that decides whether deep nutrients reach the sunlit surface; off California the warm years are El Niño years and marine heatwaves.C
other ways to say why · 3
- A warm year off California is usually a lean one: warmer, more layered water brings fewer nutrients up, and the plankton the rest of the food web eats decline. needs a citation before it can be the pick
- Wikipedia Marine heatwave source
- Wikipedia Sea surface temperature is the temperature of ocean water close to the surface. The exact meaning of surface varies in the literature and in practice. Sea surface temperature · CC BY-SA 4.0 · rev. 1374459881
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.
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
r_temperature· source columnr_tempreported · pre-QC no bound declared no flag at this grain no P01 concept
How it is measured
Originally reversing thermometers on the 20 Nansen/Niskin bottles, read on deck after about 45 minutes of equilibration; the CTD arrived in the early 1990s under protocols built to keep its readings comparable to the bottle-thermometer series. (calcofi.org CTD FAQ circa 2020)
CTD FAQ circa 2020 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.
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
Deeper than the climatology reaches: 4,035 values at 2000+ m have no
normal to depart from, because the release’s climatology stops at its
deepest built bin. Carrying it to the bottom is one argument of
build_climatology() and puts these bands on the page too.
i
Deeper than the climatology reaches: 4,035 values at 2000+ m have no
normal to depart from, because the release’s climatology stops at its
deepest built bin. Carrying it to the bottom is one argument of
build_climatology() and puts these bands on the page too.
the GOOS specification sheet for this Essential Ocean Variable lists it
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.
ExplorerExplorer · a depth section vs normaldb-queryi
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.
SELECT * FROM read_json('…/v2026.10.14/catalog.json')
-- objects[] WHERE table = 'obs_env'
-- AND partition_value = 'r_temperature'library(calcofi4r)
con <- cc_get_db() # the promoted release
tbl(con, "obs_env") |> filter(measurement_type %in% c("r_temperature"))import calcofi4py as cc
con = cc.cc_get_db()
con.sql("SELECT * FROM obs_env WHERE measurement_type IN ('r_temperature')").df()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.
Range & quality
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
- Hydrographic Bottle
r_temperature0 · median 10.12 · 40.04 °C (5th–95th percentile 4.83–18.24) - flags
- Hydrographic Bottle
r_temperaturecarries no quality code at the release grain; qual_ok keeps all 849,317. - baseline
- A monthly climatology exists for this measurement (the release's climatology table: 1993–2013, dataset × station × the cruise's month × 10 m bin), so the Explorer can draw anomalies against it rather than values.
- derivation
- reported value interpolated to standard depth (pre-QC, decodr); carries no quality code by design; not an input for further interpolation
Cite
Cite the release; each dataset's own citation, licence and DOI are on its page — Hydrographic Bottle. The Explorer's Share → Cite writes it for the view you make.