Global Extreme Weather and Climate Change Dashboard

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Drought

Drought accounts for about 7% of global weather/climate economic losses but the single largest share of deaths, about 33%, 1980-2025 (see Loss Normalization) -- famine-driving droughts in Africa dominate that toll. "Drought" names three different deficits, and this page measures each one separately rather than folding them into a single number. Meteorological drought is a rainfall deficit. Agricultural drought is a soil-moisture deficit -- the water a crop can actually reach, which lags rainfall because the soil store has to draw down first. Hydrological drought is a deficit in river flow and the groundwater and snowpack feeding it -- the water people actually withdraw. Every index below ranks each location against its calendar-month history and classifies the result into the same USDM-equivalent D0-D4 categories, so the three panels read the same way and support direct comparison.

Which drought types show a detected increase, and where

Each of the three deficits below at its D2+ (severe or worse) default, against this site's combined detection standard: IPCC's likelihood criterion at each variable's multiple-comparisons-adjusted bar, plus a magnitude-vs-variability check. Meteorological and agricultural drought come from ERA5, hydrological from GloFAS — so where two or three agree, they agree across unrelated data.

Drought typeGlobalAfricaAsiaEuropeNorth AmericaSouth AmericaOceania
Meteorologicala rainfall deficityesyesnononoyesno
Agriculturala root-zone soil-moisture deficityesno*yesnoyesyesno
Hydrologicala river low-flow deficityesyesnononoyesno

no* marks a borderline case that clears the flat 10% bar and misses its adjusted one: Africa agricultural at p=0.066 against 0.051. Reported as what it is rather than rounded into agreement. Every verdict comes from the same computation the panels below render, so this table cannot disagree with them. See the Methodology page for the construction of each index.

Summary Judgment

Consistent with IPCC AR6

All three drought types show a detected global increase, and the AED-inclusive series rises about twice as far as the precipitation-only series, and that gap still points at the evapotranspiration mechanism AR6 names. A 15 September 2026 audit produced that agreement: area weighting of grid cells lifted the precipitation-only and soil-moisture series into detection, where an unweighted cell count had held both below the bar. Per continent, meteorological drought detects in Africa and South America, soil moisture in Asia, North America and South America, river low flow in Africa and South America, and South America detects on all three.

IPCC finding (AR6 WG1 SPM A.3.2): "Human-induced climate change has contributed to increases in agricultural and ecological droughts in some regions due to increased land evapotranspiration (medium confidence)." — see the full Detection & Attribution comparison for every phenomenon this site tracks.

Variables on this page

This site evaluates every variable below over a full reliable-trend window against the combined "detected change" standard (IPCC's likelihood criterion plus a magnitude-vs-variability check -- see the homepage or Methodology for the full definitions). Shown as alternative ways of characterizing this same phenomenon -- some from independent sources, others a different construction on the same underlying data (each variable's note says which).

VariableFindingSource
% of land in D2+ (severe or worse) meteorological droughtComputing…ARCO-ERA5 (ECMWF ERA5 reanalysis, Google Cloud mirror)
% of land in D2+ (severe or worse) soil-moisture deficitComputing…ARCO-ERA5 (ECMWF ERA5 reanalysis, Google Cloud mirror)
% of pour-point cells in D2+ (severe or worse) low flowComputing…GloFAS v4.0 (Copernicus CEMS Global Flood Awareness System)

Meteorological Drought — Global Severe-or-Worse Land Area

Monthly

% of global land area (5°-coarsened grid) at a selectable USDM-equivalent drought severity level or worse each month, from two live indices built directly from ARCO-ERA5 -- SPEIbase, the standard global-gridded-SPEI source, has published no release since July 2024. Each cell enters weighted by its spherical area times its land fraction, so a 5° cell at 60° of latitude counts for about half an equatorial one. Unit: % of land area.

Source: ARCO-ERA5 (ECMWF ERA5 reanalysis, Google Cloud mirror)

Computing trend…

Select a drought severity level (D0 through D4) and series above. The precipitation-only (SPI-style) series and the precipitation-minus-evaporative-demand (SPEI-style) series often diverge; the controls default to D2+ SPI-style. The GPCP levels run this identical index on observed precipitation instead of on ERA5 reanalysis, and the two disagree about the trend -- compare D2+ SPI-style against D2+ GPCP. See Methodology for the construction, that disagreement, and the Vicente-Serrano et al. 2022 finding this site replicates.

Agricultural Drought — Global Soil-Moisture Deficit

Monthly

% of global land area (5°-coarsened grid, each cell weighted by its spherical area times its land fraction) whose 3-month mean soil moisture falls at a selectable USDM-equivalent severity level or worse against that cell's same-calendar-month history — the same modeled-soil-moisture-percentile approach the US Drought Monitor uses as one of its standing inputs, at two depths. Unit: % of land area.

Source: ARCO-ERA5 (ECMWF ERA5 reanalysis, Google Cloud mirror)

Computing trend…

Select a depth and severity level above. Root zone (0-100cm) weights ERA5 layers 1-3 by their real thicknesses and covers the water a crop can reach; surface (0-7cm) is layer 1 alone, which responds to a rainfall deficit within days and is the layer satellite soil-moisture products observe. Agricultural drought is a distinct deficit rather than a restatement of rainfall: soil moisture lags and damps precipitation, because antecedent storage and evaporative demand govern how fast a rainfall deficit draws the soil down. ERA5 models soil moisture rather than observing it. The assimilation of screen-level temperature and humidity nudges its upper layers, which damps long-term trends -- so read this series as a record of interannual drought events rather than as a precise century-scale drying rate. See Methodology.

Hydrological Drought — Global River Low-Flow Extent

Monthly

% of 1,074 GloFAS 'pour-point' cells (the same virtual-gauge network the Flooding page uses, one per 5° block) whose 3-month mean river discharge falls at a selectable USDM-equivalent severity level or worse against that cell's same-calendar-month history — the low-flow counterpart to the Flooding page's high-flow index, from the same modeled discharge record. Unit: % of pour-point cells.

Source: GloFAS v4.0 (Copernicus CEMS Global Flood Awareness System)

Computing trend…

Hydrological drought is a deficit in the water people actually withdraw — river flow and the groundwater and snowpack feeding it. It lags meteorological drought by months to years, because a catchment's storage buffers a rainfall deficit before streamflow shows it, and it persists after the rain returns. The record starts in 1982 rather than 1979: GloFAS's model groundwater store is still draining over the reanalysis's first years, so early flow exceeds its later levels, and leaving it in would manufacture a drying trend out of a model artifact. That cutoff is not what produces the trend — Sen's slope on this series ranges only +0.55 to +0.87 points/decade across start years from 1979 to 1995. See Methodology.

The precipitation-only (SPI-style) series puts its five worst years at 2023, 2024, 2021, 2025 and 2022 — the Amazon and Panama Canal droughts, the Horn of Africa's worst drought in 40 years, and the Yangtze and European drought of 2022, each independently documented. Those are also the five most recent complete years, which a strengthening trend produces, and it matches how the river low-flow index already behaves. Before the 15 September 2026 weighting correction the ranking put 2021 first and 2011 second; area weighting moved the emphasis toward the tropics, where the recent droughts sit, and 2011 now ranks 16th.

All three drought types now show a detected global increase, and a 15 September 2026 audit explains why. The aggregation behind every index on this grid counted 5° cells equally, which handed Antarctica 3.08 times its share of the land area and handed Africa, Asia, South America and Oceania between 0.55 and 0.66 of theirs -- so the count discounted the continents where the signal sits. Weighting each cell by its spherical area lifted the precipitation-only global series from no detected change into a detected increase at every severity level, and the soil-moisture series with it. The audit also restricted "global" to 60°S–90°N, so the global figures and the six continental ones now describe the same land, and floored the Hargreaves evaporative demand at zero, which the equation had been returning negative for 21.9% of land cell-months. Full measurements sit in the repository underaudit/drought/.

The three types agree on where, and disagree on how much. Taking each at its D2+ (severe or worse) default, South America shows a detected increase on all three independent measures -- rainfall, soil moisture and river flow, built from two unrelated data sources. Africa shows one on rainfall and river flow, and its soil-moisture result clears the flat 10% bar while missing its multiple-comparisons-adjusted one. Asia and North America show one in soil moisture and nowhere else. Europe andOceania show none on any of the three. The continents showing no detected change count as much toward that result as the ones showing one.

Agricultural drought reached a detected global increase on 15 September 2026, having shown none before the weighting correction. The surface (0-7cm) series climbs more steeply than the root zone at every level, which is what a faster-responding shallow layer should do. Africa's soil-moisture result stays a genuine borderline case: it clears the flat 10% significance bar but not the multiple-comparisons-adjusted one, and themethodology page lists it among the results that flip.

Hydrological drought separates from rainfall. The river low-flow index shows a detected increase globally at every severity level (D2+: +0.76 percentage points per decade, p=0.013), and since the weighting correction the precipitation-only series at the same severity joins it. Before that correction it cleared statistical significance while staying inside this site's variability bar, which read as no detected change and as evidence that the drying sat in evaporative demand rather than in rainfall. Regionally the low-flow index detects an increase in Africa (+2.06 points/decade) andSouth America (+3.01 points/decade) and detects nothing in Asia, Europe, North America or Oceania -- the same two continents the precipitation-based index singles out, reached through a different measurement.

The index recovers documented events without being told about them: its worst years are 2023, 2024, 2022 and 2025 (the Amazon and Panama Canal droughts, the Yangtze and European drought of 2022), then 2015 and 1983, the two strongest El Ninos of the later 20th century. The record starts in 1982 rather than 1979 because GloFAS's model groundwater store is still draining over the reanalysis's first years; leaving those years in would suppress early drought and manufacture a drying trend out of a model artifact. That cutoff is not what produces the trend -- recomputing from scratch at start years from 1979 to 1995 moves Sen's slope only between +0.55 and +0.87 points per decade.

The precipitation-minus-AED (SPEI-style) series replicates and extends through the present the central finding of Vicente-Serrano et al. 2022 ("Global drought trends and future projections," Phil. Trans. R. Soc. A 380: 20210285): including atmospheric evaporative demand drives a much steeper drying trend than the precipitation-only series. Comparing 1980-2002 to 2003-2025, the precipitation-only series' global drought trend rises +3.01 percentage points, while the AED-inclusive series rises +6.06 points over the identical window -- about twice as far. 2023, the hottest year on record globally at the time and a documented case where extreme heat drove severe drought beyond what rainfall deficit alone would give, shows the AED-inclusive series at 23.15% against the precipitation-only series' 18.73% for that year. See the methodology page for the Hargreaves-method simplification this uses in place of the source paper's full Penman-Monteith calculation.

This page's meteorological drought series comes from a reanalysis, and an observational record does not reproduce its trend. ERA5 is a physical model constrained by whatever observations the assimilation could reach; where a rain-gauge network is dense that constraint is tight, and where it is sparse the model supplies what the observations do not. Select D2+ GPCP in the chart above to see the identical index -- same grid cells, same land mask, same three-month window, same percentile ladder, same area weights -- computed from GPCP satellite-and-gauge precipitation instead. Over the full record the ERA5 series gives +1.36 percentage points per decade (p < 0.001), a detected increase; the GPCP series gives −0.26 per decade (p = 0.195), no detected change.

An audit of that disagreement (September 2026) found it concentrated in the regions with the thinnest gauge coverage. Across Europe, North America and Oceania the two records agree and neither detects a rise. Africa and South America supply 85% of the ERA5 increase, and only South America's appears in the observations. A gauge-only record, GPCC, covers 1979–2019 and returns a detected decrease over that window where ERA5 returns a detected increase. Which record is right is not settled here, and this site publishes both rather than choosing. Treat the meteorological drought trend as a property of ERA5 until an observational record corroborates it; the soil-moisture and streamflow series on this page descend from the same ERA5 precipitation and are not independent of it.