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 -->
-<!-- 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
 |-
 |
 * [[Heatwaves|Extreme Heat]]
 * Cold Spells and Frost
-* [[Temperature Changes|Mean temperature increase]] (to be deleted)
+* Mean temperature increase
 |
 * [[Flooding]]
@@ Line 28: / Line 26: @@
 |
 * [[Snow and ice storms|Winter storms]]
-* [[Glacial Retreat|Glacier retreat]] (in progress)
+* Glacier retreat
 * Permafrost thawing
 * Sea ice
@@ Line 37: / Line 35: @@
 * Ocean acidification
 <!-- * Other chronic ocean changes: ocean warming, oxygen loss -->
-|
-* [[Biodiversity Loss new|Biodiversity loss]]
 |}
 === 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.
 * [https://www.ncei.noaa.gov/access/monitoring/redti/overview Residential energy demand temperature index (REDTI):]
 * [https://data.noaa.gov/onestop/collections?q=%22digital%20elevation%22 NOAA Digital elevation model]
@@ Line 48: / Line 44: @@
 === Vulnerability Data ===
+These are the data describing the vulnerability of exposed assets and systems.
 * [https://www.ncei.noaa.gov/access/billions/risk Risk mapping] by state and disaster by NCEI of NOAA<ref name=":0">NOAA National Centers for Environmental Information (NCEI) U.S. Billion-Dollar Weather and Climate Disasters (2024). <nowiki>https://www.ncei.noaa.gov/access/billions/</nowiki>, DOI: 10.25921/stkw-7w73</ref>
 * [https://atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html CDC/ATSDR social vulnerability index]
@@ Line 55: / Line 51: @@
 * Urban adaptation map viewer: https://climate-adapt.eea.europa.eu/en/knowledge/tools/urban-adaptation
-=== Financial Data ===
+=== 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)<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] by state and disaster type by NCEI of NOAA<ref name=":0" />
+* [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]
 * [https://www.fema.gov/flood-maps/products-tools/hazus FEMS's Hazus loss library]
@@ Line 63: / 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.
+* [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).
-* EM-DAT data: Global Disaster and Hazard Database since 1988 https://ourworldindata.org/grapher/economic-damage-from-natural-disasters
+*
-=== Other open-source data and tools ===
-* [https://climate-adapt.eea.europa.eu/en/knowledge/european-climate-data-explorer/overview-list European Data Explorer] by European Environment Agency provides a comprehensive set of indices, listed in hazard categories defined by the European Topic Centre on Climate Change impacts, vulnerability and Adaptation in their report "Climate-related hazard indices for Europe". These categories are very similar to what we listed in this Wiki.
-* [https://climateknowledgeportal.worldbank.org/?_gl=1*117hb2j*_gcl_au*MjA5MjQyODQ1My4xNzI2NTA0NzQ1 Climate Change Knowledge Portal] by the World Bank provides historical and future climate and climate-related datasets.  The data draw on global, quality-controlled data sets and are continually updated as new data becomes available. In some cases, the CCKP is supplemented with other sources of information.
-* [https://climatedata.imf.org/pages/adaptation#ad2 Climate Change Dashboard] by the IMF provides indicators such as Climate-driven INFORM Risk, a global, open source risk assessment for crises and disasters, and ND-GAIN index, a global free open-source index, that measures a country’s current vulnerability to climate disruptions and assesses a country’s readiness to leverage private and public sector investment for adaptive actions.
-* [https://climatetoolbox.org/ The Climate Toolbox] is a collection of web tools for visualizing past and projected climate and hydrology of the contiguous United States.
-* [https://www.climdex.org/learn/indices/ The Climdex] project by WCRP offers a range of climate extremes indices.
-* The [https://www.wri.org/data/data-products Data Lab] of WRI provides open access to reliable data that enable users to monitor forests with satellites, track the drivers of climate change, understand indigenous communities land rights, plan for water scarcity, examine the cross-section of global environmental issues and more.
-* [https://www.wri.org/initiatives/climate-watch Climate Watch] of WRI is a platform that allows users to access the latest historical greenhouse gas emissions data, track net-zero targets and explore nationally determined contributions and long-term strategies to reduce greenhouse gas emissions.
-* The [https://hprcc.unl.edu/about.php High Plains Regional Climate Center] serves to increase the use and availability of climate data and information. We achieve this by providing climate services, developing climate data and information products, engaging our stakeholders, and conducting applied climate research.Its six-state region covers Colorado, Kansas, Nebraska, North Dakota, South Dakota, and Wyoming.
-* [https://www.ipcc-data.org/ IPCC Data Distribution Center]
-* [https://atlas.climate.copernicus.eu/atlas Copernicus Interactive Climate Atlas]
 == References ==