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Illustrative: a joint probability density whose dependence shifts over time

Risk Academy, led by the Nexus Consortium · Hazards, Disasters and Resilience · Department of Disaster Risk Reduction and Early Warning

Hazards that come together, in sequence or by triggering one another

Multi-hazard and compound risk assessment

Disasters rarely arrive one hazard at a time: an earthquake triggers landslides and a dam failure, a cyclone brings wind, surge and rain together, a drought dries the fuel a fire then burns.

01Scope

What the discipline covers

The subtopics its courses and labs teach.

Courses
In preparation
Levels
In development
Labs
In development
  • Hazard interactions: triggering, amplification and coincidence
  • Compound events and joint probabilities
  • Consecutive disasters and changing vulnerability
  • Cascading impacts across exposed systems
  • The UNDRR and ISC Hazard Information Profiles
  • Multi-hazard risk indices and maps
  • Dependence modelling with copulas
  • Natech events and technological cascades
  • Multi-hazard early warning
02Maps

Build a twin of any place

Search any place or open the world; the layers and generators follow multi-hazard and compound risk assessment on the planet map, the globe and in 3D.

The Kahramanmaras earthquake sequence of 2023: a flat plan of the faculty twin. Terrain 59 to 3,044 m; 2 reference earthquakes, M7.5 to M7.8; 3,643,786 people in the box, 2020; Earthquakes M4.5 and above, past week: read live when the 3D twin opens; USGS ShakeMap intensity contours: read live when the 3D twin opens. Contours every 500 metres from the elevation grid; population count 2020, worldpop 1 km as four classes per cell (edges 11, 47, 405); reference earthquakes as marks.
The Kahramanmaras earthquake sequence of 2023, Turkiye. Flat plan of the same data: relief, the two epicentres with magnitude and depth, the WorldPop count grid and the numbers below. The 3D twin opens on devices that can draw it, once its data and code have been checked.
  • Terrain 59 to 3,044 m
  • 2 reference earthquakes, M7.5 to M7.8
  • 3,643,786 people in the box, 2020
  • Earthquakes M4.5 and above, past week: read live when the 3D twin opens
  • USGS ShakeMap intensity contours: read live when the 3D twin opens
Credits and dates per layer are listed under the stage. Relief in the twin is exaggerated ×1.5 for legibility.

Drag to move, right drag or Shift with a drag to turn and tilt, Ctrl with the wheel to zoom. Keyboard: arrows move, Shift with arrows turn and tilt, + and – zoom, 0 resets, V steps through the views, Escape clears.

Flat plan of the same data: relief, the two epicentres with magnitude and depth, the WorldPop count grid and the numbers below. The 3D twin opens on devices that can draw it, once its data and code have been checked.

The boundaries, names and designations shown do not imply any judgement on the legal status of any territory, or any endorsement or acceptance of such boundaries. Countries: Natural Earth (public domain).

03Live map

Climate signals in Canada

Surface heat, rain, snow, sea ice, marine heat and water storage, each a dated satellite or model product, over Canada.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Climate signals

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Climate signals, framed on Canada.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONETSources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • GRACE and GRACE-FO JPL mascon solution, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • Live: NASA EONET Events are indicative, not authority warnings.
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • Air quality forecast, 5 days, PM2.5 (CAMS via Open-Meteo): Contains modified Copernicus Atmosphere Monitoring Service information 2026.
  • Past year, daily temperature (ERA5 via Open-Meteo): Contains modified Copernicus Climate Change Service information 2026.
  • Past year, daily temperature and sunshine (NASA POWER): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program..
  • Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
  • Optional layers (21 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026
  • Snow cover: VIIRS NOAA-20 NDSI, NASA LANCE · 13 Oct 2026
  • Sea ice concentration: GHRSST MUR, NASA JPL PO.DAAC · 12 Oct 2026
  • Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026
  • Water storage anomaly, monthly: GRACE-FO JPL mascons, NASA JPL PO.DAAC · July 2022

04The subject

The subject, methods and measures and debates and bodies

The field and its scope

For risk analysts, modellers and planners who assess places exposed to more than one hazard and need methods that treat hazards jointly rather than adding single-hazard results.

05The method

From two margins to a joint return period: how dependence between surge and rainfall multiplies the chance of a compound flood

Each driver has its own exceedance probability; a dependence measure fitted to concurrent records sets a copula; the copula gives the chance that both exceed their thresholds in the same event, which under dependence can be ten times the product of the margins, and the design standard has to be set on that joint number.

Sources: Wahl, Jain, Bender, Meyers and Luther, Increasing risk of compound flooding from storm surge and rainfall for major US cities (2015); Zscheischler et al., Future climate risk from compound events (2018); Nelsen, An Introduction to Copulas (2006); Gill and Malamud, Reviewing and visualising the interactions of natural hazards (2014).

06At a glance

At a glance, hub and courses

Multi-hazard and compound risk assessment at a glance

risksacademy.comhazards-resiliencediscipline

Multi-hazard and compound risk assessment: 0 primary courses open, 0 in preparation and 0 also taught here, across 9 subtopics. Courses: none yet.
Multi-hazard and compound risk assessment at a glance
  • Open, 0
  • In preparation, 0
  • Subtopics, 9
Course codes from the curriculum; study levels L1 to L4.
Twin builderBuild a twin of any placeWorked example: the Kahramanmaras earthquake sequence of 2023 · 5 generators · 13 layers · 3 instruments
07Console

How Multi-hazard and compound risk assessment is taught, as a process you can run

Press Play to run this process from this page's own data.

08Practice

Practice, learning and connections

How technology helps and what risk it brings

09Take part

Take part in Hazards, Disasters and Resilience

Start from who you are.

10References

Core references and where to begin

Start with Kappes, then Gill, then Pescaroli.

11Questions

Questions, answers and key terms

Is study here free?
Yes. Every course and learning material of Risk Academy, led by the Nexus Consortium, is free to study, self-paced or with a cohort. Ordinary participation has no fee; paid work, internships and fellowships are separate arrangements.
What does completing a course give me?
A completion record: the course, its version, the date and what was assessed, private by default and shared by you. It stacks into discipline, department and programme achievements. A record states what was studied and assessed and does not certify competence; it is not a licence, a professional title or an employment status.
Where do the data and the places come from?
Every faculty teaches on a twin of a real place built from open data; each layer carries its provider, licence and date, and every result on the Academy states its source. Maps and figures are indicators for teaching, never an assessment of a place.
How do I take part beyond the courses in multi-hazard and compound risk assessment?
Form a competence cell of three to seven people, study a shared pathway, take a supervised assignment in the National Working Groups, or bring a cohort from your institution. For organisations.

Key terms

Term

Compound event

A combination of drivers or hazards, simultaneous or successive, whose joint occurrence produces an impact larger than each alone.

Term

Hazard interaction

A relationship in which one hazard triggers, amplifies or coincides with another.

Term

Joint return period

The average interval between events in which two variables both exceed their thresholds, which depends on their dependence.

Term

Consecutive disasters

Disasters that strike before recovery from an earlier one is complete, so vulnerability has changed.

ReportsContribute

Contribute evidence from this page.

Reports is the Consortium's quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

Risk Academy
Multi-hazard and compound risk assessment

Prepare with a related course

Open courses in connected disciplines teach the methods this discipline will build on.