For Tuvalu, the difference between 1°C and 1.5°C of warming is not a number — it’s the island.
On Funafuti, home to most of Tuvalu’s people, the largest open space is the airport runway. Most evenings, when no flight is due, it fills with football, cycling, and families in the cooling air, because on an atoll this narrow there is nowhere else with room.
It is the widest flat ground on the island, and it rises only a few meters above the water — ocean on one side, the lagoon on the other. Half a degree of warming sounds incremental; on ground this low, it can become geographic.
The scenarios below are illustrative thresholds, not precise projections. See the methodology for assumptions and limitations.
Those thresholds are scenarios. The trend beneath them is not. Around Tuvalu, sea-surface temperatures have climbed out of more than a century of cooler readings.
A warmer ocean is a higher one — expanding as it heats, and fed by ice melting far away. What that added height would mean for ground this low is the question the next three maps put to the atoll itself.
The maps show where. This chart shows how much more. Between 1.0m and 1.5m of rise, the exposed share of Funafuti’s land nearly doubles.
The distance between these scenarios is half a degree. It sounds small. On an atoll this narrow, it becomes geography.
The maps do not show a fate sealed. They show one still open.
Tuvalu is what sits in the difference.
This piece uses elevation data accessed via the elevatr R package, which returns AWS Open Data Terrain Tiles — a composite global terrain model assembled from open elevation sources at roughly 30-meter resolution. Like most global terrain models, it represents the reflective surface (including vegetation canopy) rather than bare ground, so it systematically overestimates land elevation in vegetated, low-lying environments such as atolls. A uniform correction of −1.8m was applied to all land pixels to partially compensate for this bias. This correction is an approximation: canopy height varies across the atoll and the true correction is not spatially uniform.
Flood extents were derived using a bathtub inundation model — any land pixel with corrected elevation at or below the sea-level rise threshold is classified as exposed. The bathtub model assumes static, connected inundation and does not account for wave dynamics, storm surge, groundwater intrusion, or sediment transport. It represents a low-elevation exposure threshold, not a flood prediction. Flood pixels in the rendered maps are expanded by one grid cell outward for visual legibility; the percentage figures in the subtitles reflect the methodologically correct threshold without this display expansion.
Three scenarios are shown: 0.0m (current baseline), 1.0m, and 1.5m of sea-level rise. The relationship between global mean temperature and sea-level rise is nonlinear and scenario-dependent; the 1.0m and 1.5m scenarios are used here as illustrative thresholds, not as precise projections for specific warming levels.
The sea-surface temperatures shown here are local anomalies around Tuvalu, measured relative to the dataset’s reference baseline, and should not be read as the global 1°C and 1.5°C warming thresholds referenced elsewhere in this piece.
Coastline geometry is sourced from OpenStreetMap via the osmextract package. All analysis was conducted in R using the terra and sf spatial packages. Maps were rendered with ggplot2 and tidyterra. The full pipeline is open and reproducible.
elevatr R package. Open data.
osmextract / Geofabrik. © OpenStreetMap contributors, ODbL 1.0.
ST_ANOM, °C), Tuvalu, 1850–2025. Pacific Community (SPC) Pacific Data Hub .Stat, Climate Change Indicators.
SEA_LVL, m), Tuvalu, 1993–2023. Pacific Community (SPC) Pacific Data Hub .Stat, Climate Change Indicators.
R · Quarto · Closeread v1.0.1 · ggplot2 · ggtext · showtext · terra · sf · tidyterra · elevatr · osmextract · patchwork
This work — code, narrative, and derived visualisations — is licensed under CC BY 4.0. You are free to share and adapt with attribution. OpenStreetMap-derived geometry remains under ODbL 1.0; the elevation data are sourced from AWS Open Data Terrain Tiles via elevatr.