A forecast low, a cold reading at a dock and a report of dead fish describe different things. Louisiana speckled trout—spotted seatrout, Cynoscion nebulosus—can be vulnerable to severe cold. The difficult question is how to connect the conditions a fish actually experienced with its later fate.
Our conclusion: evaluate cold severity, duration and access to alternative water together. A single temperature cutoff cannot diagnose a Louisiana winterkill or prove that a deeper hole is a refuge. Published North Carolina work supports a temperature-and-duration explanation. Our complete January 2025 Grand Isle analysis supplies a local exposure example, while preserving the important boundary between measured water and measured fish survival.
DR07 · COLD-EXPOSURE CASE STUDY · v1.0.0
Cold risk needs a history, not a single cutoff
Conclusion: cold severity, duration and access to different water matter together. A temperature near 7°C (44.6°F) is useful research context, not an automatic death threshold. Grand Isle’s January 2025 record documents a cold episode; it cannot tell us how many Louisiana trout died or establish that a nearby deep hole was warmer.
Lowest accepted reading
2.8°C37.0°F · one station
Sample-bin exposure below 5°C
16.2 h12.4 h longest sampled run
Usable January record
99.91%7,433 / 7,440 readings
Original analysis of NOAA CO-OPS station 8761724, water_temperature, six-minute GMT records. Both °C and °F are shown. All dates are UTC; Louisiana CST is six hours earlier. The full month is shown, rather than selecting only the coldest days.
Each accepted below-threshold reading contributes a six-minute bin. These are sample-supported exposure summaries, not exact observed crossing times or proof of uninterrupted fish exposure. Thresholds are nested: do not add the 3°C, 5°C and 7°C totals together. Missing or flagged bins contribute no estimated temperature and break a run.
Inspect the full-month blocks, missing data and sensor limits
Fixed UTC blocks · final block is only three days
Block
Usable / expected
Minimum
Below 5°C bins
Below 7°C bins
Jan 1–7
1680 / 1680
11.5°C
0.0 h
0.0 h
Jan 8–14
1680 / 1680
8.8°C
0.0 h
0.0 h
Jan 15–21
1673 / 1680
5.3°C
0.0 h
4.6 h
Jan 22–28
1680 / 1680
2.8°C
16.2 h
26.1 h
Jan 29–31
720 / 720
12.9°C
0.0 h
0.0 h
The source returns 7,440 timestamped slots, including seven blank values on January 18–19 UTC with flags 1,1,1. We exclude them; the other 7,433 have flags 0,0,0. NOAA defines these water-temperature flags as maximum, minimum and rate-of-change checks. Passing them is not independent validation of the sensor. No water-level “verified” quality code is supplied for this temperature product.
Current NOAA metadata, retrieved October 21, 2026, lists water-temperature sensor E1 at −4.055118 ft relative to MLLW. That is a sensor elevation relative to a datum, not a constant depth below the surface or a seabed measurement. The January 2025 mounting history was not independently confirmed. There is no paired shallow/deep profile here, and an exposed coastal station cannot stand in for an interior marsh pond.
Cold-degree-hours sum (threshold − temperature) × 0.1 over below-threshold accepted bins. This records severity and sample-bin duration together. It is not a calibrated biological dose or the North Carolina paper’s daily-mean, winter-window cumulative-degree-day statistic. There is no interpolation, missing-value substitution, mortality model or uncertainty band implying whole-estuary coverage.
What the field study actually measured
Ellis et al. (2017), MEPS · Table 1, p. 152 and exclusions pp. 153–154
Winter / system
Tagged
At risk after exclusions
Natural deaths
Assigned cold-associated
2009/2010 · Pungo
37
34
7
7
2010/2011 · Pungo
10
9
6
6
2011/2012 · Pungo
26
24
1
0
2011/2012 · Neuse
45
41
0
0
The two colder Pungo winters had seven and six inferred natural deaths; the mild winter had one inferred predation death in Pungo and none in Neuse. The mild-winter death was not assigned to cold. These are tagged-cohort fates with variable follow-up and emigration, not estimates that 7/34 or 6/9 of the whole trout population died.
Inspect mortality assignments and why the winter counts are not a forecast
The authors used telemetry and a multistate model to separate natural mortality, harvest, emigration and detection. Ten of 118 tagged fish were excluded within seven days: one surgery-related death, eight emigrants and one harvest. Natural death could be inferred from stationary transmitters or disappearance during cold episodes. That last assignment itself used temperature context, so every missing fish was not independently observed dead from cold. Tag loss, undetected movement and uncertain fates remain relevant limitations.
Published cumulative degree-days below 7°C were 80.4, 144.3 and 0.6 °C·days for the three Pungo windows and 0.9 for the mild Neuse window. They summarize daily-mean deficits across different at-risk study windows. They are not counts of cold days or directly comparable to our six-minute January index. We retain the values in the download without fitting a new death-versus-dose curve from four unequal cohorts.
The full main field paper and its supplement were acquired; the key table was visually audited. We did not rerun OpenBUGS, reconstruct raw fish histories or transport the authors’ North Carolina mortality function to Louisiana.
The laboratory result separates severity from duration
Ellis et al. (2017), JEMBE · published abstract/highlights only
Exposure
Temperature
Duration
Reported endpoint
Rapid cooling
≤4°C
Dynamic trial; full rate/protocol not audited
Loss of equilibrium reported; not identical to death
Prolonged exposure
3°C
2 days
No survivors reported in abstract; cohort n not extracted
Prolonged exposure
5°C
About 5 days
Tolerance followed by sharp survival decline with longer exposure
Prolonged exposure
7°C
10 days
High but incomplete survival reported; not a safe-temperature guarantee
The published abstract distinguishes loss of equilibrium during rapid cooling from mortality during prolonged exposure. It reports experiments at salinities 10 and 30, with no measured salinity effect on mortality in the prolonged trials. Full final-paper methods were unavailable: no treatment counts, survival percentages or confidence intervals are reconstructed here. These observations are bounded context, not a Louisiana lethal-temperature chart.
Save temperature.json, protocol.json, evidence.json and reproduce.mjs together, then run node reproduce.mjs with Node 24. No packages or internet required. It regenerates the results and five CSVs. Sensor metadata and station metadata document the point measurement. The repository retains original sources and plotting code; source paper figures are not republished.
Start with three questions that need different evidence
“How cold did this sensor get?” needs a quality-checked temperature record. “How long did fish experience that water?” also needs their location and movement, the sensor’s placement and a suitable exposure history. “How many fish died because of cold?” needs fish-response observations and a design that separates death from movement, harvest and detection failure.
Our original analysis answers the first question at one station and summarizes its sampled exposure history. The North Carolina field study helps explain the second and third questions under its own conditions. A laboratory abstract helps distinguish physiological endpoints. None supplies a calibrated Louisiana mortality forecast.
This is a focused case review, not a systematic review or a new fishing experiment. We acquired the complete primary field paper, its supplement and NOAA’s full January response and metadata. The final laboratory paper and Louisiana dissertation were not obtainable in full; their published primary abstracts are explicitly labeled. We do not replace unavailable methods with an earlier dissertation version or invent treatment denominators.
Case one: what the North Carolina winters tell us
Ellis, Buckel and Hightower tracked adult spotted seatrout in tributaries of the Pungo River across three winters and in the Neuse system during the mild third winter. Their field temperature loggers sampled every 15 minutes at about 1.5 metres. The study combined fish detections, manual relocations and a multistate model, rather than counting every missed detection as death.
The colder winters produced much more inferred natural mortality than the mild winter. But the details prevent a misleading headline. The mild-winter Pungo death was inferred predation, not cold mortality. The winters also differed in fish numbers, duration at risk and emigration. A percentage made by dividing deaths by initial fish count is not the model’s population mortality estimate. Primary field study, Table 1 and methods.
The fate rules deserve attention. Stationary tags could indicate death, and disappearance during cold episodes could be assigned to natural mortality under the authors’ assumptions. Temperature therefore contributed to some fate classification; it was not an independent cause-of-death measurement for every fish. The authors discuss tagging, emigration and possible misclassification. We retain those limitations instead of using the table as an unquestionable thermometer-to-death conversion.
The convincing finding is that winter conditions matter and that simultaneous environmental and fish monitoring can reveal more than scattered observations. The overreach would be to carry the fitted North Carolina relationship to a Louisiana marsh, enter one water temperature and advertise a predicted kill.
Case two: cold intensity and duration are different stress tests
The laboratory paper by Ellis and colleagues describes rapid cooling and prolonged exposure as separate experiments. Its published abstract reports loss of equilibrium at low temperatures during rapid trials, while the prolonged trials measured survival over days. Losing equilibrium means a fish can no longer maintain its normal orientation; it is not the same endpoint as an observed death.
The reported results are not a single ladder of “safe” and “deadly” temperatures. The 3°C, 5°C and 7°C exposures involved different durations and outcomes. A brief low reading cannot be equated with a two-day exposure, and a temperature at which many fish survived for a limited trial is not a guarantee outside that trial. Acclimation, life stage, population and the cooling protocol matter when interpreting any tolerance result. We have not audited the final paper’s full methods and do not publish trial-level survival percentages. Published laboratory abstract.
Salinity also needs careful wording. The abstract reports a small mitigating effect of higher salinity on stress onset during rapid exposure but no measured mortality effect of salinity in the prolonged trials. That does not justify telling anglers that saltier water is always a winter refuge or freshwater makes a fixed temperature lethal. Our brackish-water lesson explains how mixing varies spatially; the freshwater-pulse study measures salinity at two stations, not cold-induced fish death.
Case three: the full January 2025 Grand Isle record
We selected the complete January calendar month before calculating its exposure summaries. NOAA’s six-minute Grand Isle record contains 7,440 timestamped slots. Seven blank, flagged readings on January 18–19 UTC are excluded, leaving 7,433 usable observations. The monthly minimum is 2.8°C, or about 37.0°F. The record includes 16.2 sample-bin hours below 5°C, with a longest consecutive sampled run of 12.4 hours.
That last distinction is the point of the case. One minimum gives the coldest accepted value. A duration metric shows how much sampled support exists below a reference level. The two describe different parts of the event. The complete-month chart also shows cooling and recovery, instead of presenting the lowest screenshot as if it described every day or every coastal habitat.
Each accepted point is assigned a six-minute sample bin for calculation. We do not know the exact crossing between two readings or whether a fish stayed beside the sensor. The 3°C, 5°C and 7°C reference levels come from the research context; they are not newly validated Louisiana lethal thresholds. The thresholds overlap and their hours must not be added. Full-month, daily and fixed-block downloads let readers inspect the choices rather than rely on a highlighted number.
NOAA’s current sensor metadata lists elevation relative to MLLW, a tidal reference. It does not establish a constant depth below the moving surface. Nor have we independently confirmed that the current installation describes the January 2025 mounting. This limits the measurement’s spatial interpretation, even with excellent temporal coverage. NOAA station · flag definitions.
Louisiana’s Department of Wildlife and Fisheries issued warnings and investigated coastal fish-kill reports after the January 2025 freeze. Its indexed official assessment/news establish that investigation context. We could not retrieve the full preliminary report in this review and do not extract a kill total or claim a statewide mortality outcome from it. Our point-station analysis neither replaces that assessment nor attributes individual reported deaths to the Grand Isle trace. LDWF investigation notice.
Is deeper water automatically a warmer refuge?
A refuge is water a fish can reach and occupy that reduces the relevant stress. Depth alone does not prove those conditions. A useful test would measure shallow and deeper water at the same times, establish the connection between them and verify fish use. Wind-driven mixing, low water and access through a connecting feature can change the answer.
The North Carolina researchers found tagged fish in previously unmonitored deeper habitats and discussed likely warmer refuge use. Their interpretation is valuable evidence of a mechanism worth investigating. It is not a map of Louisiana refuges or a demonstration that every deep channel remains warmer. The authors also note that mixing can remove temperature differences and that fish leaving the monitored area had uncertain later fates.
Louisiana evidence adds another caution. Baer’s Lake Pontchartrain dissertation abstract describes tracking 211 trout with 90 receivers during 2012–2014 and identifies temperature and salinity as drivers of seasonal distribution. It also documents environmental effects on receiver detection range. A missing acoustic detection can therefore reflect monitoring performance or movement as well as survival. The dissertation’s abstract is local habitat context, not a cold-exposure experiment. LSU primary record.
Make a useful winter observation record
Record water temperature with its date, time, location, depth and measuring method. Retain earlier and later observations so the direction and duration of change remain visible. A local air-temperature low is useful weather context, but it cannot be substituted for the water history. Likewise, a warm afternoon at one bank does not show what an adjacent channel experienced overnight.
When investigating a potential refuge, compare accessible features with measurements appropriate to the actual depths. Note water level and whether the connection remains usable. If all you have is one station, record the local unknowns explicitly. Do not assign that station’s value to every marsh pond or place fish in a hole because the calendar says “winter.”
If cold-stressed fish appear unable to swim normally, avoid adding fishing or handling pressure to that concentration. Document what can be observed without disturbing it and use LDWF’s fish-kill reporting guidance. An observation is useful evidence; it does not authorize collection or retention contrary to current rules.
Our speckled-trout guide turns these distinctions into a coastal trip plan. The fishing calendar keeps season separate from current conditions, and seasonal redfish patterns explains why a trout result cannot become a redfish cold threshold. The wind-versus-tide study adds measured water-level context without predicting temperature or fish survival.
Final conclusion and the next evidence needed
Severe and sustained cold can harm spotted seatrout, but “the temperature hit X” is an incomplete account of a winterkill. The North Carolina field and laboratory evidence support evaluating exposure history and habitat together. Grand Isle’s January record shows why: its minimum, total below-threshold bins and longest sampled run tell different parts of the environmental story.
Use water-temperature history to identify a condition worth investigating. Establish fish response, location and plausible alternative explanations before claiming mortality. Treat deeper water as a refuge hypothesis until suitable temperature and fish-use observations support it. A strong Louisiana-specific study would pair multi-depth temperatures, salinity, connectivity and fish fates across sites and cold episodes, accounting for detection failure and movement.
This local review draft contains original environmental calculations and an attributed literature synthesis. It is not a validated mortality warning system, a safe-weather decision or a catch forecast. Independent fisheries/statistical review remains pending. Before production publication, check source corrections and updated NOAA records/metadata; review the study at least every six months and preserve versioned inputs when results change.
Sources & editorial notes
Focused evidence case and original NOAA January2025 point-station analysis. Field paper/Table1 and supplement acquired; laboratory final paper and LSU dissertation available only as primary abstracts, with no invented trial denominators. No Louisiana mortality model, catch prediction, safe-temperature rule or refuge map. Historic January2025 sensor configuration unconfirmed. Independent fisheries/statistical review pending; local review draft.
A reproducible USGS comparison around the first 2019 Bonnet Carré opening shows why one station and a closure date cannot describe the whole coastal system.