Articles | Volume 12, issue 2
Earth Syst. Sci. Data, 12, 817–833, 2020
https://doi.org/10.5194/essd-12-817-2020
Earth Syst. Sci. Data, 12, 817–833, 2020
https://doi.org/10.5194/essd-12-817-2020

Data description paper 09 Apr 2020

Data description paper | 09 Apr 2020

Asset exposure data for global physical risk assessment

Samuel Eberenz et al.

Related authors

Regional tropical cyclone impact functions for globally consistent risk assessments
Samuel Eberenz, Samuel Lüthi, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 21, 393–415, https://doi.org/10.5194/nhess-21-393-2021,https://doi.org/10.5194/nhess-21-393-2021, 2021
Short summary

Related subject area

Data, Algorithms, and Models
The Berkeley Earth Land/Ocean Temperature Record
Robert A. Rohde and Zeke Hausfather
Earth Syst. Sci. Data, 12, 3469–3479, https://doi.org/10.5194/essd-12-3469-2020,https://doi.org/10.5194/essd-12-3469-2020, 2020
Short summary
Dielectric database of organic Arctic soils (DDOAS)
Igor Savin, Valery Mironov, Konstantin Muzalevskiy, Sergey Fomin, Andrey Karavayskiy, Zdenek Ruzicka, and Yuriy Lukin
Earth Syst. Sci. Data, 12, 3481–3487, https://doi.org/10.5194/essd-12-3481-2020,https://doi.org/10.5194/essd-12-3481-2020, 2020
Short summary
Global Carbon Budget 2020
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Corinne Le Quéré, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone Alin, Luiz E. O. C. Aragão, Almut Arneth, Vivek Arora, Nicholas R. Bates, Meike Becker, Alice Benoit-Cattin, Henry C. Bittig, Laurent Bopp, Selma Bultan, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Wiley Evans, Liesbeth Florentie, Piers M. Forster, Thomas Gasser, Marion Gehlen, Dennis Gilfillan, Thanos Gkritzalis, Luke Gregor, Nicolas Gruber, Ian Harris, Kerstin Hartung, Vanessa Haverd, Richard A. Houghton, Tatiana Ilyina, Atul K. Jain, Emilie Joetzjer, Koji Kadono, Etsushi Kato, Vassilis Kitidis, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Zhu Liu, Danica Lombardozzi, Gregg Marland, Nicolas Metzl, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Denis Pierrot, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Adam J. P. Smith, Adrienne J. Sutton, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Guido van der Werf, Nicolas Vuichard, Anthony P. Walker, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Xu Yue, and Sönke Zaehle
Earth Syst. Sci. Data, 12, 3269–3340, https://doi.org/10.5194/essd-12-3269-2020,https://doi.org/10.5194/essd-12-3269-2020, 2020
Short summary
A global long-term (1981–2000) land surface temperature product for NOAA AVHRR
Jin Ma, Ji Zhou, Frank-Michael Göttsche, Shunlin Liang, Shaofei Wang, and Mingsong Li
Earth Syst. Sci. Data, 12, 3247–3268, https://doi.org/10.5194/essd-12-3247-2020,https://doi.org/10.5194/essd-12-3247-2020, 2020
Short summary
A coastally improved global dataset of wet tropospheric corrections for satellite altimetry
Clara Lázaro, Maria Joana Fernandes, Telmo Vieira, and Eliana Vieira
Earth Syst. Sci. Data, 12, 3205–3228, https://doi.org/10.5194/essd-12-3205-2020,https://doi.org/10.5194/essd-12-3205-2020, 2020
Short summary

Cited articles

Aznar-Siguan, G. and Bresch, D. N.: CLIMADA v1: a global weather and climate risk assessment platform, Geosci. Model Dev., 12, 3085–3097, https://doi.org/10.5194/gmd-12-3085-2019, 2019. 
Aznar-Siguan, G., Bresch, D. N., and Eberenz, S.: CLIMADA-papers repository – github.com/CLIMADA-project/climada_papers, available at: https://github.com/CLIMADA-project/climada_papers, last access: 20 March 2019. 
Bresch, D. N., Aznar-Siguan, G., Eberenz, S., Röösli, T., Stocker, D., Hartman, J., Pérus, M., and Bozzini, V.: CLIMADA repository, available at: https://github.com/CLIMADA-project/climada_python last access: 20 March 2019a. 
Bresch, D. N., Aznar-Siguan, G., Eberenz, S., Röösli, T., Stocker, D., Hartman, J., Pérus, M,. and Bozzini, V.: CLIMADA v.1.2.0, ETH Data Archive, https://doi.org/10.5905/ethz-1007-226, 2019b. 
Brönnimann, S. and Wintzer, J.: Climate data empathy, Wires. Clim. Change, 10, 1–8, https://doi.org/10.1002/wcc.559, 2018. 
Download
Short summary
The modeling of economic disaster risk on a global scale requires high-resolution maps of exposed asset values. We have developed a generic and scalable method to downscale national asset value estimates proportional to a combination of nightlight intensity and population data. Here, we present the methodology together with an evaluation of its performance for the subnational downscaling of GDP. The resulting exposure data for 224 countries and the open-source Python code are available online.