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GRAClimate and Nature Financial RiskIn development
Regions

Regional exposures

Regional work of Climate and Nature Financial Risk across the six Consortium regions, each shown with its status. The regions are Africa, Asia-Pacific, Europe and Eurasia, Latin America and the Caribbean, the Middle East and North Africa, and North America.

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Publisher
The Global Risks Alliance
Field
Climate and hazards, Biodiversity and nature, Capital markets and investment
Status
In development
Service level
R0: information and enquiries

Programme portfolio

Climate and nature financial risk · Regional exposures

Portfolio viewGRA · Climate and Nature Financial Risk

Where the work sits

placeholder geography

Circle size: exposure value · placeholderN

Portfolio

Portfolio ZDisclosure readinessScopingBlocked
Bank loan bookPhysical risk geocodingBuildBlocked
Insurer investmentsNature dependency screeningBuildOn track
Nature-sensitive sectorsSupervisory exercise…TestOn track

Decisions waiting on owners

  1. D-1Disclosure readinessDisclosure lead · decision record6 d
  2. D-2Physical risk geocodingDisclosure lead · decision record9 d
  3. D-3Nature dependency screeningDisclosure lead · decision record5 d

Climate and Nature Financial Risk · Programme portfolioProgramme portfolio, in outline: domain structure with placeholder names and illustrative values, not a record.

01In brief

The short answer.

The Climate and Nature Financial Risk regions page maps its work on climate and hazards across the six Consortium regions: Africa, Asia and the Pacific, Europe and Eurasia, Latin America and the Caribbean, the Middle East and North Africa, and North America. A regional entry appears only where a programme record supports it, with its status.

02Canvas

Scoping to review.

Canvas · scoping to reviewDesign, not a record
Regional exposures: the policy cycleA problem reaches the agenda, options are formulated and appraised, consultation tests them, the mandate holder decides, implementation and monitoring follow, and evaluation feeds the next agenda. Design of the process, not a record of a run.

Fig.A programme from scoping to the owner's decision. Design, not a record.

03Geography

Climate signals in Southeast Asia.

For regional exposures, in GRA's spatial-finance reading, the map opens on population density and night lights with built-up and settlement extent from NASA GIBS, framed on Southeast Asia; 4 further NASA layers wait in the list.

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

Layers 2

Climate signals, for this page

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.

For regional exposures, in GRA's spatial-finance reading, the map opens on population density and night lights with built-up and settlement extent from NASA GIBS, framed on Southeast Asia; 4 further NASA layers wait in the list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · GDACS · CIESIN/Columbia, NASA SEDAC HBASESources 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
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. 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
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; 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). 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: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Context: CIESIN/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.
  • Optional layers (24 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

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026

04Scope

Regions in Climate and Nature Financial Risk.

  1. 01

    Physical climate risk

    Direct and indirect asset exposures.

  2. 02

    Transition risk

    Policy, technology and business-model change.

  3. 03

    Nature dependencies

    Ecosystem services, degradation and economics.

  4. 04

    Scenario analysis

    Horizon, assumptions and limitations.

  5. 05

    Insurance bank investment effects

    Distinct financial-sector transmission.

  6. 06

    Disclosure and data

    Source quality and comparability.

05Regional view

Climate and Nature Financial Risk by region.

Regional features in Climate and Nature Financial Risk are summarised from public records.

RegionFeature
EuropeFlood and heat
North AmericaWildfire and hurricane
AsiaMonsoon flood
AfricaDrought

Regional differences matter for Climate and Nature Financial Risk because NGFS standards are adopted at different speeds, and hazards and market structure differ. A regional entry would cite hazard layers, pathways, ecosystem data.

06Status

Work is shown as its record stands.

Programmes are listed as exploring, forming, constituted, active, paused or archived. Country and regional entries appear when a programme record supports them.

All programmes in Climate and Nature Financial Risk

07Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
SubsidiarityThe principle that a decision is taken at the lowest level able to take it well, with a higher level acting only where the objective cannot be achieved closer to the people concerned; the Treaty on European Union states it.
Multi-level governanceShared decision-making across local, regional, national and international levels of government.
Programme statusThe recorded state of a programme on Nexus pages: exploring, forming, constituted, active, paused or archived. A plan is never presented as an activity.
08Sources

Where this page's references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

09Questions

Questions and answers.

How do I propose work at this level?
Write to contact@therisk.global or a regional desk. A proposal receives a reference.
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Around Climate and Nature Financial Risk.

Climate and Nature Financial Risk

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