Fuel ledgers reveal gaps in military emissions reporting: code (v1.1)

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Authors: Dayu Zhu, Leixiang Wu, J Zhang
Cited by: 0

Abstract

This archive contains the Python code and workflows to reproduce the main-text and supplementary figures and tables for “Fuel ledgers reveal gaps in military emissions reporting”. The code reconstructs Tier 1 operational-fuel TTW CO₂ from DLA Energy Fact Books (FY2008–FY2024) with Monte Carlo attribution uncertainty, benchmarks Tier 2 “standard operations” Scope 1–2 disclosures (FY2021–FY2023), and generates a Tier 3 procurement supply-chain screening estimate using USAspending.gov obligations and EPA NAICS emission factors (FY2008–FY2024).Requirements and example commands are provided in README and requirements.txt. Processed datasets, tables and figures are available in the companion Figshare record.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026
Language
EN