All Physical Risk Datasets: Difference between revisions

Latest revision as of 19:32, 31 October 2024

Climate Hazard Data

These are the data describing the drivers of physical risk. These data include climate information or information about current and projected hazard events.


Hot and Cold	Wet and Dry	Hurricanes and Storms	Ice and Snow	Coastal and Oceanic
Extreme Heat Cold Spells and Frost Mean temperature increase	Flooding Drought Wildfires	Tropical cyclones Severe winds and tornadoes Hailstorms	Winter storms Glacier retreat Permafrost thawing Sea ice	Storm surge Sea level rise Marine heatwaves Ocean acidification

Exposure Data

These are data describing exposures to the climate hazard. Key features used to construct the exposures include specific geographic locations of assets and systems, building or infrastructure characteristics such as construction materials, height, and flood resistance.

Vulnerability Data

These are the data describing the vulnerability of exposed assets and systems.

Risk mapping by state and disaster by NCEI of NOAA^[1]
CDC/ATSDR social vulnerability index
CDC/ATSDR environmental justice index
Future climate-change related risk: View, Data Download
Urban adaptation map viewer: https://climate-adapt.eea.europa.eu/en/knowledge/tools/urban-adaptation

Financial and Economic Data

These are the data needed to assess the impacts on the economy and financial sector. Key datasets required include balance-sheet data for systematically important banks and macroeconomic data. The table below listed the financial and macroeconomic data variables needed for risk assessment as suggested by UNEP (2023)^[2].

Historical disaster cost and frequency of the US by state and disaster type by NCEI of NOAA^[1]
EM-DAT data, the international database of worldwide disaster, hazards, and their damage from 1900 to present. The database is compiled from various sources, including UN agencies, non-governmental organizations, reinsurance companies, research institutes, and press agencies.
CAT-DAT data
Global Drought Proportional Economic Loss Risk Deciles
FEMS's Hazus loss library
Economic losses from weather- and climate- related extremes in Europe: https://www.eea.europa.eu/en/analysis/indicators/economic-losses-from-climate-related
Climate related economic losses in Europe: View
Economic losses and fatalities based on CATDATA: View
NatCatSERVICE is a global natural catastrophe loss database provided by re-insurance company Munich Re. It is one of the world's most comprehensive databases on natural hazard-based disasters with more than 28 000 entries. It is based on over 200 sources worldwide, including news agencies, insurance companies, international agencies (UN, EU, Red Cross, etc.), scientific sources and weather and warning services. (Note to XL: it doesn't seem to be open-source, but it is listed by EEA).

References

↑ ^1.0 ^1.1 NOAA National Centers for Environmental Information (NCEI) U.S. Billion-Dollar Weather and Climate Disasters (2024). https://www.ncei.noaa.gov/access/billions/, DOI: 10.25921/stkw-7w73
↑ UNEP FI (2023). The Climate Risk Landscape. Available at: https://www.unepfi.org/themes/climate-change/2023-climate-risk-landscape/

[:0-1] 1.0 ^1.1 NOAA National Centers for Environmental Information (NCEI) U.S. Billion-Dollar Weather and Climate Disasters (2024). https://www.ncei.noaa.gov/access/billions/, DOI: 10.25921/stkw-7w73

[2] UNEP FI (2023). The Climate Risk Landscape. Available at: https://www.unepfi.org/themes/climate-change/2023-climate-risk-landscape/

[1]

[2]

@@ Line 1: / Line 1: @@
 __NOTOC__
-=== Climate Hazard Data ===
+=== Climate Hazard Data ===<!-- I want to give option to collapse/uncollapse this section -->
-These are the data describing the drivers of physical risk. These data include climate information or information about current and projected hazard events. They may be used as explanatory variables to influence economic outcomes and alter existing economic relationships, or to identify at-risk locations with other geographical data (''e.g.'' topographical data including coastal elevation models, satellite data), or cost and performance data for energy substitutes that can be used in estimating energy price relationships.<ref>[https://app.paperpile.com/view/?id=191ebabf-a991-4576-9d3f-e6306318453d BCBS, April. "Climate-related financial risks–Measurement methodologies." (2021).]</ref> <!-- I want to give option to collapse/uncollapse this section -->
+<!-- See the old version of "All Physical Risk Datasets" here. -->These are the data describing the drivers of physical risk. These data include climate information or information about current and projected hazard events.
-<!-- See the old version of "All Physical Risk Datasets" here. -->
 {| class="wikitable" style="width: 85%" |
@@ Line 12: / Line 11: @@
 ! scope="col" style="width: 100px;" | Ice and Snow
 ! scope="col" style="width: 100px;" | Coastal and Oceanic
-! scope="col" style="width: 100px;" | Biodiversity
 |-
 |
@@ Line 37: / Line 35: @@
 * Ocean acidification
 <!-- * Other chronic ocean changes: ocean warming, oxygen loss -->
-|
-* [[Biodiversity Loss new|Biodiversity loss]]
 |}
@@ Line 56: / Line 52: @@
 === Financial and Economic Data ===
-These are the data needed to assess the impacts on the economy and financial sector. Key datasets required include balance-sheet data for systematically important banks and macroeconomic data.
+These are the data needed to assess the impacts on the economy and financial sector. Key datasets required include balance-sheet data for systematically important banks and macroeconomic data. The table below listed the financial and macroeconomic data variables needed for risk assessment as suggested by UNEP (2023)<ref>UNEP FI (2023). The Climate Risk Landscape. Available at: <nowiki>https://www.unepfi.org/themes/climate-change/2023-climate-risk-landscape/</nowiki></ref>.  [[File:financial_data_needed.png|thumb|center|700px|alt=Financial Variable|Financial and macroeconomic data variables needed for risk assessment (Source: UNEP (2023))]]
 * [https://www.ncei.noaa.gov/access/billions/mapping Historical disaster cost and frequency] of the US by state and disaster type by NCEI of NOAA<ref name=":0" />
 * [https://www.emdat.be/ EM-DAT] data, the international database of worldwide disaster, hazards, and their damage from 1900 to present. The database is compiled from various sources, including UN agencies, non-governmental organizations, reinsurance companies, research institutes, and press agencies.
 * CAT-DAT data
 * [https://catalog.data.gov/dataset/global-drought-proportional-economic-loss-risk-deciles Global Drought Proportional Economic Loss Risk Deciles]
@@ Line 65: / Line 62: @@
 * Climate related economic losses in Europe: [https://ec.europa.eu/eurostat/databrowser/view/sdg_13_40/default/table?lang=en View]
 * Economic losses and fatalities based on CATDATA: [https://climate-adapt.eea.europa.eu/en/knowledge/economic-losses/economic-losses-and-fatalities?activeTab=31d4b1fa-94dc-47ee-81bd-5b80fb3909f9 View]
 * [https://climate-adapt.eea.europa.eu/en/metadata/portals/natcatservice-database-year-of-launch NatCatSERVICE] is a global natural catastrophe loss database provided by re-insurance company Munich Re. It is one of the world's most comprehensive databases on natural hazard-based disasters with more than 28 000 entries. It is based on over 200 sources worldwide, including news agencies, insurance companies, international agencies (UN, EU, Red Cross, etc.), scientific sources and weather and warning services. (Note to XL: it doesn't seem to be open-source, but it is listed by EEA).
+*
 == References ==