Published October 5, 2025 | Version V2.0
Dataset Restricted

Platform for Economic Analysis of Climate Hazards (PEACH): Gridded Hazards from 2000-2019

  • 1. ROR icon Centre d'Économie de la Sorbonne
  • 2. ROR icon Université Paris 1 Panthéon-Sorbonne

Description

A (quasi) global gridded hazard and socioeconomic exposure database, spanning 2000 to 2019, covering 14 climate impact drivers (CIDs) and 3 geophysical hazards.

The Platform for Economic Analysis of Climate Hazards (PEACH) provides monthly data at an approximate 10 × 10 km resolution, with full coverage between 2004 and 2015. Unlike event-based datasets, PEACH avoids rigid inclusion thresholds whenever possible, enabling flexible definition of “extreme events” and analysis across the full hazard intensity spectrum. Six complementary socioeconomic and environmental variables are included: population, nighttime light, relative wealth, critical infrastructure, vegetation indices, and land use.

If you use PEACH in your work, please cite the paper:
R. Reinhardt (2025) The Platform for Economic Analysis of Climate Hazards (PEACH): Gridded Hazards from 2000-2019,  CES Working Paper, Université Paris 1 Panthéon-Sorbonne ⟨halshs-05314666⟩

Data Description
The main dataset is provided in Apache Arrow Feather format, partitioned into world subregions based on the UN M49 classification. Each file contains monthly hazard exposure and socioeconomic variables per 10 km grid cell. Variable definitions, formats, and usage notes are detailed in the accompanying README.

For ease of use, see also the ConversionScript.zip files, which include exemplary code for loading the data in R and Python.

Overview

  • Temporal resolution: Monthly (2000–2019; full coverage 2004–2015)
  • Spatial resolution: 10 × 10 km grid cells (global coverage, rainfall quasi-global: 50°N–50°S)
  • Projection: EPSG:4326 (WGS 84, standard Mercator)
  • File format: Apache Arrow Feather (.feather), partitioned by UN M49 subregions
  • Hazards included:
    • Climate impact drivers (14): mean air temperature, cold spells, extreme heat, mean precipitation, heavy precipitation, floods (river/pluvial), landslides, drought, fire weather & wildfires, severe windstorms, tropical cyclones, sand and dust environments (proxy indicator, not direct dust storm records), hail, air pollution (PM2.5/PM10).
    • Geophysical hazards (3): earthquakes, volcanic eruptions, tsunamis

 

Access information:

Access to the PEACH dataset is granted upon request for non-commercial academic and policy research. Requests will be processed as timely as possible, typically within a few business days.

Notes

This dataset is a compilation released under CC-BY-NC-SA 4.0. The underlying datasets retain their original licences (see README and LICENSE.pdf). In case of conflict, the original licences prevail. Redistribution or commercial use of individual components must comply with their respective licenses. 

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Additional details

Related works

Is supplement to
Preprint: https://shs.hal.science/halshs-05314666 (URL)

Software

Programming language
Python , R
Development Status
Active