most citedNear-real-time estimates of daily CO2 emissions from 1500 cities worldwide

122 citations · 201 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2023★ 4 cited

AutoPCF: Efficient Product Carbon Footprint Accounting with Large Language Models

Zhu Deng, Jinjie Liu, Biao Luo +5

The product carbon footprint (PCF) is crucial for decarbonizing the supply chain, as it measures the direct and indirect greenhouse gas emissions caused by all activities during th…

astro-ph.EP2023

The Space Experiment of the Exo-ecosystem

Zhu Liu, Duo Cui, Siyao Yang

The experiment of exo-ecosystem and the exploration of extraterrestrial habitability aims to explore the adaptation of terrestrial life in space conditions for the manned space pro…

physics.geo-ph2022★ 5 cited

Carbon Monitor Europe, near-real-time daily CO emissions for 27 EU countries and the United Kingdom

Piyu Ke, Zhu Deng, Biqing Zhu +17

With the urgent need to implement the EU countries pledges and to monitor the effectiveness of Green Deal plan, Monitoring Reporting and Verification tools are needed to track how…

physics.ao-ph2022★ 69 cited

Near-real-time global gridded daily CO emissions 2021

Xinyu Dou, Jinpyo Hong, Philippe Ciais +22

We present a near-real-time global gridded daily CO emissions dataset (GRACED) throughout 2021. GRACED provides gridded CO emissions at a 0.1degree*0.1degree spatial resolu…

physics.data-an2022★ 1 cited

Carbon Monitor-Power: near-real-time monitoring of global power generation on hourly to daily scales

Biqing Zhu, Xuanren Song, Zhu Deng +13

We constructed a frequently updated, near-real-time global power generation dataset: Carbon Monitor-Power since January, 2016 at national levels with near-global coverage and hourl…

physics.soc-ph2022★ 122 cited

Near-real-time estimates of daily CO2 emissions from 1500 cities worldwide

Da Huo, Xiaoting Huang, Xinyu Dou +19

Building on near-real-time and spatially explicit estimates of daily carbon dioxide (CO2) emissions, here we present and analyze a new city-level dataset of fossil fuel and cement…