Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

IF value: 9.197
IF9.197
IF 5-year value: 9.612
IF 5-year
9.612
CiteScore value: 12.5
CiteScore
12.5
SNIP value: 3.137
SNIP3.137
IPP value: 9.49
IPP9.49
SJR value: 4.532
SJR4.532
Scimago H <br class='widget-line-break'>index value: 48
Scimago H
index
48
h5-index value: 35
h5-index35
ESSD | Articles | Volume 12, issue 2
Earth Syst. Sci. Data, 12, 817–833, 2020
https://doi.org/10.5194/essd-12-817-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 12, 817–833, 2020
https://doi.org/10.5194/essd-12-817-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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. Discuss., https://doi.org/10.5194/nhess-2020-229,https://doi.org/10.5194/nhess-2020-229, 2020
Revised manuscript under review for NHESS
Short summary

Related subject area

Data, Algorithms, and Models
A Last Glacial Maximum forcing dataset for ocean modelling
Anne L. Morée and Jörg Schwinger
Earth Syst. Sci. Data, 12, 2971–2985, https://doi.org/10.5194/essd-12-2971-2020,https://doi.org/10.5194/essd-12-2971-2020, 2020
Short summary
An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets
Maialen Iturbide, José M. Gutiérrez, Lincoln M. Alves, Joaquín Bedia, Ruth Cerezo-Mota, Ezequiel Cimadevilla, Antonio S. Cofiño, Alejandro Di Luca, Sergio Henrique Faria, Irina V. Gorodetskaya, Mathias Hauser, Sixto Herrera, Kevin Hennessy, Helene T. Hewitt, Richard G. Jones, Svitlana Krakovska, Rodrigo Manzanas, Daniel Martínez-Castro, Gemma T. Narisma, Intan S. Nurhati, Izidine Pinto, Sonia I. Seneviratne, Bart van den Hurk, and Carolina S. Vera
Earth Syst. Sci. Data, 12, 2959–2970, https://doi.org/10.5194/essd-12-2959-2020,https://doi.org/10.5194/essd-12-2959-2020, 2020
Short summary
Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption
Juan-Carlos Antuña-Marrero, Graham W. Mann, Philippe Keckhut, Sergey Avdyushin, Bruno Nardi, and Larry W. Thomason
Earth Syst. Sci. Data, 12, 2843–2851, https://doi.org/10.5194/essd-12-2843-2020,https://doi.org/10.5194/essd-12-2843-2020, 2020
Short summary
Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017
Yi Zheng, Ruoque Shen, Yawen Wang, Xiangqian Li, Shuguang Liu, Shunlin Liang, Jing M. Chen, Weimin Ju, Li Zhang, and Wenping Yuan
Earth Syst. Sci. Data, 12, 2725–2746, https://doi.org/10.5194/essd-12-2725-2020,https://doi.org/10.5194/essd-12-2725-2020, 2020
Short summary
Hyperspectral longwave infrared reflectance spectra of naturally dried algae, anthropogenic plastics, sands and shells
Shungudzemwoyo P. Garaba, Tomás Acuña-Ruz, and Cristian B. Mattar
Earth Syst. Sci. Data, 12, 2665–2678, https://doi.org/10.5194/essd-12-2665-2020,https://doi.org/10.5194/essd-12-2665-2020, 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.
The modeling of economic disaster risk on a global scale requires high-resolution maps of...
Citation