Include ISIMIP extreme heat, Deltares coastal flooding, JRC fluvial flooding

[tomalrussell]

Additional return-period maps for flooding and extreme heat.

Links for ISIMIP and Deltares data:

GRII_open_hazard_links.csv

Deltares Global Flood Maps (coastal flooding)

Linked from https://planetarycomputer.microsoft.com/dataset/deltares-floods

ISIMIP2b Output Data for Lange et al. (2020)

Linked from https://data.isimip.org/search/tree/ISIMIP2b/DerivedOutputData/lange2020/hwmid-humidex/

Stefan Lange, Jan Volkholz, Tobias Geiger, Fang Zhao, Iliusi Vega del Valle, Ted Veldkamp, Christopher Reyer, Lila Warszawski, Veronika Huber, Jonas Jägermeyr, Jacob Schewe, David N. Bresch, Matthias Büchner, Jinfeng Chang, Philippe Ciais, Marie Dury, Kerry Emanuel, Christian Folberth, Dieter Gerten, Simon N. Gosling, Manolis Grillakis, Naota Hanasaki, Alexandra‐Jane Henrot, Thomas Hickler, Yasushi Honda, Akihiko Ito, Nikolay Khabarov, Aristeidis Koutroulis, Wenfeng Liu, Christoph Müller, Kazuya Nishina, Sebastian Ostberg, Hannes Müller Schmied, Sonia I. Seneviratne, Tobias Stacke, Jörg Steinkamp, Wim Thiery, Yoshihide Wada, Sven Willner, Hong Yang, Minoru Yoshikawa, Chao Yue, Katja Frieler (2020): Land area fractions and population fractions exposed to extreme climate impact events derived from ISIMIP2b output data (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.924045

JRC Global River Flooding

jrc-global.csv

Linked from https://data.jrc.ec.europa.eu/collection/id-0054

Dottori, Francesco; Alfieri, Lorenzo; Salamon, Peter; Bianchi, Alessandra; Feyen, Luc; Hirpa, Feyera (2016): Flood hazard map of the World - 10-year return period. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-floods-floodmapgl_rp10y-tif (similar citation suggested per return period)

[tomalrussell]

GAR17 fluvial flood maps gar-17.csv

Linked from: https://risk.preventionweb.net/index.html

Global Assessment Report Atlas global flood hazard data. (2015) https://risk.preventionweb.net/metadata/7.html

Metadata abstract:

The GAR Atlas global flood hazard assessment uses a probabilistic approach for modelling riverine flood major river basins around the globe. This has been possible after compiling a global database of stream-flow data, merging different sources and gathering more than 8000 stations over the globe in order to calculate the range of possible discharges from very low to the maximum possible scales at different locations along the rivers. The calculated discharges were introduced in the river sections to model water levels downstream. This procedure allowed for the determination of stochastic event-sets of riverine floods from which hazard maps for several return periods (25, 50, 100, 200, 500, 1000 years) were obtained. The hazard maps are developed at 1kmx1km resolution and have been validated against satellite flood footprints from different sources (DFO archive, UNOSAT flood portal) performing well especially for big events For smaller events (lower return periods), the GAR Atlas flood hazard maps tend to overestimate with respect to similar maps produced locally (hazard maps where available for some countries and were used as benchmark). The main issue being that, due to the resolution, the GAR Atlas flood hazard maps do not take into account flood defenses that are normally present to preserve the value exposed to floods. More information about the flood hazard assessment can be found in the background paper (Rudari et al., 2015).

Background paper citation:

Roberto Rudari, Francesco Silvestro, Lorenzo Campo, Nicola Rebora, Giorgio Boni, Christian Herold. “Improvement of the global flood model for the GAR 2015.” (2015) CIMA Foundation and UNEP. Accessible at https://www.preventionweb.net/english/hyogo/gar/2015/en/bgdocs/risk-section/CIMA%20Foundation,%20Improvement%20of%20the%20Global%20Flood%20Model%20for%20the%20GAR15.pdf