Code and Data for the paper "A Multi-Level Bayesian Analysis of Urban and Rural Warming Trends Across Global Climates"

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Panagiotis Sismanidis, Benjamin Bechtel
DOI: 10.5281/zenodo.19470768
Cited by: 1

Abstract

This repository contains code and data supporting the analysis reported in "A Multi-Level Bayesian Analysis of Urban and Rural Warming Trends Across Global Climates" (preprint title: "Urban and Rural Warming Trends from MODIS are Statistically Indistinguishable") The study uses MODIS Land Surface Temperature (LST) data together with a multi-level Bayesian model to quantify warming rates across densely populated climate zones and to assess the effect of urbanization.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 April 2026
Language
EN
Document type
Dataset