Contact Authors
Alejandra M. Carmona, Universidad EAFIT, Colombia 📨amcarmonad@eafit.edu.co 🗣️Spanish, English
Sara M. Vallejo-Bernal, PIK, Germany 📨vallejo.bernal@pik-potsdam.de 🗣️Spanish, English
Davide Faranda, IPSL-CNRS, France 📨davide.faranda@lsce.ipsl.fr 🗣️English,French, Italian
Citation
Carmona, A. M., Vallejo-Bernal, S. M., & Faranda, D. (2026). February 2026 floods in Northern Colombia likely strengthened by human-driven climate change. ClimaMeter, Institut Pierre Simon Laplace, CNRS. https://doi.org/10.5281/zenodo.18679132
Press Summary
Meteorological conditions similar to those causing the floods in northern Colombia on 01–03 February 2026 are up to ~5–8 mm/day wetter in the present (1988–2025) than in the past (1950–1987).
The event was associated with exceptional large-scale moisture transport from the Caribbean Sea affecting both the central Caribbean coast (Magdalena–Atlántico) and the Gulf of Urabá (Antioquia).
Northern Colombia floods were driven by very exceptional meteorological conditions.
Natural climate variability alone cannot explain the increase in precipitation associated with this event.
Event Description
Between 01 and 03 February 2026, intense and persistent rainfall affected Northern Colombia, including the Caribbean coastal departments of Magdalena, Atlántico, Córdoba, Bolívar and the Urabá region of Antioquia. According to official information from the Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM), rainfall in early February was anomalously high and exceeded historical averages in several regions.
The meteorological configuration during this event was characterized by strengthened northeasterly winds and moisture flux over the Caribbean basin that favored persistent onshore moisture transport. Daily accumulated precipitation locally exceeded 40–70 mm/day, with maxima near the Sierra Nevada de Santa Marta and prominent rainfall observed over the Gulf of Urabá and the foothills of the Serranía de Abibe. Surface pressure anomalies indicated a regional-scale setup favoring moisture convergence, with embedded convective systems driving extreme rainfall patterns.
As of February 11th, Colombia’s National Unit for Disaster Risk Management (UNGRD) reported that this persistent heavy rains and flooding affected more than 58,000 families in 93 municipalities, with at least 18 fatalities confirmed across 16 departments, making Córdoba one of the hardest-hit regions (UNGR Report).
Climate and Data Background for the Analysis
According to the IPCC Sixth Assessment Report, tropical regions are expected to experience intensification of heavy precipitation events under global warming due to increased atmospheric moisture content (high confidence). Observational trends in South America suggest a rise in extreme rainfall indices where low-level moisture transport is significant. IDEAM’s climate bulletins document rainfall anomalies in early 2026 and provide seasonal outlooks highlighting a continuation of active rainfall regimes across Colombia into February and beyond due to overlapping atmospheric drivers (e.g., moisture inflow, cold fronts, regional circulation anomalies) .
For this event we have low confidence in the robustness of our approach given the available climate data, as the event is very exceptional in the data record.
ClimaMeter Analysis
We analyse here (see methodology for more details) how events similar to to the meteorological conditions leading to Colombia Floods have changed in the present (2001-2022) compared to what they would have looked like if they had occurred in the past (1979-2000) in the region [80°W–72°W, 4°N–17°N]. Surface-pressure differences between present and past analogues are modest (within ±1 hPa), indicating that the large-scale dynamical forcing has not substantially deepened in the present climate. The event remains primarily characterized by a moisture-transport configuration rather than an anomalously intense pressure minimum. Present-day analogues show warming of approximately +1 to +1.5 °C across Northern Colombia, including the Gulf of Urabá, relative to past analogues. This reflects a possible thermodynamic background shift associated with global warming. Precipitation changes reveal a robust amplification signal. Under circulation patterns like those of early February 2026, present-day analogues are locally up to ~6–8 mm/day wetter than past analogues. This corresponds to an approximate 10–15% increase in rainfall intensity under similar synoptic conditions. Wind-speed changes show localized increases up to +3–4 km/h over the Caribbean Sea and near the Gulf of Urabá. Enhanced low-level flow strengthens moisture convergence along the coast and contributes to increased rainfall efficiency, particularly in regions with strong orographic influence.
Finally, we find that sources of natural climate variability, notably the the persistence of a North American cold front over the Caribbean region, along with the interaction of the Intertropical Convergence Zone, may have only partly influenced the event. This means that the changes we see in the event compared to the past may be mostly due to human driven climate change.
Conclusion
Based on the above, we interpret the February 2026 floods in Northern Colombia, including the Urabá region of Antioquia, as an event driven by very exceptional meteorological conditions embedded in a warmer and moister climate system. The increased rainfall intensity under dynamically comparable synoptic situations is consistent with the expected influence of human-driven climate change, while regional climate variability also contributed to the event’s development.
NB1: The following output is specifically intended for researchers and contain details that are fully understandable only by reading the methodology described in Faranda, D., Bourdin, S., Ginesta, M., Krouma, M., Noyelle, R., Pons, F., Yiou, P., and Messori, G.: A climate-change attribution retrospective of some impactful weather extremes of 2021, Weather Clim. Dynam., 3, 1311–1340, https://doi.org/10.5194/wcd-3-1311-2022, 2022.
NB2: Colorscales may vary from the ClimaMeter figure presented above.
The figure shows the average of surface pressure anomaly (msl) (a), average 2-meter temperature anomalies (t2m) (e), cumulated total precipitation (tp) (i), and average wind speed (wspd) in the period of the event. Average of the surface pressure analogs found in the counterfactual (b) and factual periods (c), along with corresponding 2-meter temperatures (f, g), cumulated precipitation (j, k), and wind speed (n, o). Changes between present and past analogues are presented for surface pressure ∆slp (d), 2-meter temperatures ∆t2m (h), total precipitation ∆tp (i), and wind speed ∆wspd (p): color-filled areas indicate significant anomalies with respect to the bootstrap procedure. Violin plots for past (blue) and present (orange) periods for Quality Q analogs (q), Predictability Index D (r), Persistence Index Θ (s), and distribution of analogs in each month (t). Violin plots for past (blue) and present (orange) periods for ENSO (u), AMO (v), and PDO (w). Number of the analogues occurring in each subperiod (blue) and linear trend (black). Values for the peak day of the extreme event are marked by a blue dot. Horizontal bars in panels (q,r,s,u,v,w) correspond to the mean (black) and median (red) of the distributions. (x) Number of analogues found in sub periods when analogues are searched in the whole reanalysis period.