US Extreme Weather and Climate Change Dashboard

Detection & Attribution: IPCC AR6 vs. This Site

IPCC AR6 (2021) is the most current, most rigorously reviewed formal climate assessment with a dedicated extreme-events chapter (WG1 Chapter 11, supplemented by Chapter 12's regional detail) -- see the Methodology page for the underlying IPCC detection/attribution definitions this whole site applies. The table below summarizes AR6's North-America-focused finding for each hazard alongside this site's reliable-window verdicts, computed live from the exact same data as each hazard's phenomena page.

Read the "Consistency" column as a qualitative judgment call, not a formal statistical test. AR6's findings are global or continental-regional syntheses of many studies and multiple lines of evidence; this site's findings are single-country, mostly-national-scale metrics. Where this site tracks several alternative metrics for one hazard, every metric's verdict is shown below, not just whichever one happens to agree with AR6 -- a real mismatch in scope or metric definition is reported as "not directly comparable," not silently smoothed over.

HazardIPCC AR6 findingThis site's findingsConsistency
Heat Waves

"It is virtually certain that hot extremes (including heatwaves) have become more frequent and more intense across most land regions since the 1950s."

AR6 WG1 SPM A.3.1

  • WSDI, national daily series (NOAA-homogenized): computing…
  • Heat wave index: computing…
  • TXx (annual max daily high temperature): computing…
  • WSDI (warm spell duration index): computing…
  • TN90p (warm nights): computing…
  • TXx, national daily series (NOAA-homogenized): computing…
Consistent

This site's headline heat-wave metric -- WSDI on NOAA's homogenized nClimGrid-Daily record -- shows a clean detected increase since 1951 (p<0.001), and TXx on the same homogenized record agrees (p=0.015). nClimGrid-Daily's record happens to start in 1951, matching AR6's stated 'since the 1950s' window almost exactly, so this is a direct match: same window, same conclusion. Warm nights (TN90p, raw stations) also show a detected increase, consistent with AR6. This site's own raw, non-homogenized station panels are more mixed -- the bespoke heat-wave index and raw WSDI don't clear this site's detected-change bar over their full 1895-2025 record, and raw TXx shows a detected decrease, because the 1930s Dust Bowl anchors an unusually hot early benchmark for the single hottest day each year. That raw/homogenized gap is a genuine, disclosed dataset dependency, not swept under the 'Consistent' label -- an independent, peer-reviewed analysis using similarly raw, unadjusted station data (Christy 2026, Theoretical and Applied Climatology) reaches a comparable raw-data conclusion, finding modest declines in hot extremes across the same conterminous US since 1899. Read together: on the homogenized data this site treats as authoritative for detection, and over the same window AR6 itself cites, the two agree; on raw station data, they don't -- both real findings on the same underlying stations, not a contradiction once the data source is made explicit.

Severe Convective Storms

"There is low confidence in past trends in characteristics of severe convective storms, such as hail and severe winds, beyond an increase in precipitation rates."

AR6 WG1 Ch.11 Executive Summary

  • Tornado count (all F/EF): computing…
  • Tornado days (distinct days with ≥ 1 tornado): computing…
  • Mean outbreak size (tornadoes/day on ≥ 6-tornado days): computing…
  • CAPE, CONUS reanalysis grid (mean vs. peak): computing…
  • Share of CONUS at/above a CAPE threshold (moderate vs. extreme): computing…
  • Days with widespread or locally extreme instability: computing…
Consistent

Every metric on this page -- tornado count, tornado days, outbreak size, hail (excluded from trend assessment by design, matching AR6's data-insufficiency framing), and three independent CAPE-based instability proxies from reanalysis -- shows no detected change. Matching AR6's 'low confidence, data insufficient' position across metrics built from entirely different data sources (human storm reports vs. atmospheric reanalysis) is a stronger confirmation than any single metric alone could offer.

Flooding

"In North America, peak flow has increased in the northeast US and decreased in the southwest US." "Confidence about peak flow trends over past decades on the global scale is low, but there are regions experiencing increases, including parts of Asia, southern South America, the northeast USA, northwestern Europe, and the Amazon, and regions experiencing decreases, including parts of the Mediterranean, Australia, Africa, and the southwestern USA."

AR6 WG1 Ch.11 Section 11.5.2 (Observed Trends)

  • High-flow index (% of reference gauges): computing…
  • Peak flow (Annual Maximum Series): computing…
  • Heavy precipitation extremes (Rx1day / Rx5day): computing…
Consistent

This site's own river-flow metrics -- the headline high-flow index (a single national CONUS-wide index) and annual peak flow (AMS) -- show no detected change over their reliable windows. AR6's own US-specific finding explains why a national index wouldn't be expected to show a clean signal in either direction: peak flow has moved in opposite directions within the country, increasing in the northeast and decreasing in the southwest -- exactly the kind of regionally offsetting pattern that would wash out in a single national index rather than contradict AR6's finding. The separate heavy-precipitation-extremes metric on this page (Rx1day/Rx5day) does show a detected increase nationally, but AR6 itself draws this exact distinction: precipitation-extreme detection carries meaningfully higher confidence than river-flood detection specifically, because dams, diversions, land-use change, and water management confound the streamflow signal in a way they don't for a single storm's rainfall total. A detected precipitation trend alongside an undetected national river-flow trend, when AR6's own regional evidence shows opposing US trends that would cancel out nationally, is the pattern AR6's own literature would predict, not a contradiction.

Drought

"Human-induced climate change has contributed to increases in agricultural and ecological droughts in some regions due to increased land evapotranspiration (medium confidence)." On the other two drought types this page also tracks: "Few AR6 regions show observed increases in meteorological drought, mostly in Africa and South America; a few others show a decrease (WSB, ESB, NAU, CAU, NEU, CNA: medium confidence)" -- Central North America (CNA), which covers a large share of the continental US, is among the few regions with an observed decrease. On hydrological drought: "The more limited availability of datasets makes it more difficult to assess historical trends in hydrological drought at regional scale. Increasing (MED: high confidence; WAF, EAS, SAU: medium confidence) and decreasing (NEU, SES: medium confidence) trends in hydrological droughts have only been observed in a few regions" -- none of them in North America.

AR6 WG1 SPM A.3.2 / Ch.11 Executive Summary

  • USDM D2+ area (% of CONUS): computing…
  • SPEI (Standardized Precipitation-Evapotranspiration Index): computing…
  • Low-flow index (% of reference gauges below threshold): computing…
Not directly comparable

This page tracks a rough analogue for each of AR6's three drought types -- USDM D2+ area (composite/agricultural-leaning), SPEI (a precipitation-evapotranspiration index, the same construction AR6 uses for meteorological drought), and the low-flow index (an explicitly hydrological, runoff-based signal) -- and none show a detected change nationally. For agricultural/ecological and hydrological drought, AR6's own findings are regional (Western North America; and no North American region at all for hydrological drought) while this site computes only national indices, which would dilute a real regional signal rather than confirm or refute it. For meteorological drought specifically, AR6's Central North America finding is a genuine, if partial, match: a reported decrease, not increase, is at least directionally consistent with SPEI showing no detected increase here. None of this rises to a clean regional test in either direction, which is why this row stays 'not directly comparable' rather than 'consistent.'

Winter Storms

"There is low confidence in past changes of maximum wind speeds and other measures of dynamical intensity of extratropical cyclones." Separately: "Mid-latitude storm tracks have likely shifted poleward in both hemispheres since the 1980s, with marked seasonality in trends (medium confidence)."

AR6 WG1 Ch.11 Executive Summary / SPM A.1.4

  • Category 3+ (major) storm count: computing…
  • Heavy snowfall days (station-level): computing…
  • Mean minimum pressure, storms in the CEDA catalog: computing…
  • Mean peak wind, storms in the CEDA catalog: computing…
Not directly comparable

Fritzen, Lang & Gensini (2021) -- an independent, peer-reviewed NARR-based climatology -- found no significant East Coast bomb-cyclone trend. RSI's own storm catalog is intensity-pre-filtered (64% of its tracks are bomb cyclones, versus ~7% in Fritzen et al.'s unfiltered data), which invalidates a raw count from it as a frequency measure. The peak-wind metric on this page (same pre-filtered catalog, but measuring severity rather than frequency) still shows a detected increase; minimum pressure and the RSI storm count show no detected change. Without a valid frequency metric, this row is better read as not yet a clean test of AR6's intensity-trend finding than as confirming or exceeding it.

Tropical Cyclones

"A subset of the best-track data corresponding to hurricanes that have directly impacted the USA since 1900 is considered to be reliable, and shows no trend in the frequency of USA landfall events" (Knutson et al. 2019, cited by AR6) -- a direct, US-specific finding, not just a global proportion-of-intense-storms statement.

AR6 WG1 Ch.11 (United States-specific)

  • US landfalling hurricanes, all categories: computing…
  • ACE, landfalling storms (full lifetime): computing…
  • Landfalling storms that underwent rapid intensification: computing…
  • Mean peak rainfall of landfalling tropical storms/hurricanes: computing…
Consistent

The US-landfalling hurricane count on this site shows no detected change (p=0.318) over the same since-1900 window AR6's cited reliable subset uses -- a direct, clean match. ACE, rapid intensification, and peak rainfall also show no detected change, none of which AR6's landfall-frequency statement specifically addresses but none of which contradict it either.

Wildfire

"Fire weather conditions (compound hot, dry and windy events) have become more probable in some regions (medium confidence)." AR6 separately cites Abatzoglou & Williams (2016), which attributes approximately 49% of the cumulative 1984-2015 burned-area increase in the western United States to anthropogenic climate change -- one of the report's strongest, most quantified attribution statements for any hazard on this site.

AR6 WG1 Ch.11 Executive Summary

  • MTBS area burned: computing…
  • NIFC fire count: computing…
  • Mean Vapor Pressure Deficit (national): computing…
  • High fire-weather-stress days (national): computing…
  • Large fires (≥ 1,000 acres): computing…
  • Fire season length (large fires): computing…
Consistent

MTBS burned area, MTBS large-fire count, and both fire-weather (VPD) metrics from an independently-sourced reanalysis dataset all show a detected increase -- the most consistently confirmed finding on this site across independently-sourced metrics, directly matching AR6's characterization of Western US wildfire as one of its strongest findings. This site does not attempt AR6's ~49% attribution fraction itself -- that requires the model-based attribution step this site's detection-only methodology doesn't undertake.