825 citations · 1.3k across the 15 of their papers we have counts for
17 papers
Forecasting carbon-risk hotspots ahead of the extreme 2026 El Niño
Xiaomeng Du, Runda Jiang, Philippe Ciais +14
A potentially super El Niño is forecasted in 2026, raising the need to anticipate land carbon-cycle risks before its impacts unfold. We develop a prospective early-warning framewor…
Low latency global carbon budget reveals strong land sink recovery in 2025
Philippe Ciais, Piyu Ke, Xiangjun Tian +32
The atmospheric CO2 growth rate fell sharply in 2025, from a record 3.76 0.09 ppm yr-1 in 2024 to 2.06 0.09 ppm yr-1 (NOAA marine boundary layer observations), below th…
Low latency global carbon budget reveals a continuous decline of the land carbon sink during the 2023/24 El Nino event
Piyu Ke, Philippe Ciais, Yitong Yao +28
The high growth rate of atmospheric CO2 in 2023 was found to be caused by a severe reduction of the global net land carbon sink. Here we update the global CO2 budget from January 1…
Reconstructing Global Daily CO2 Emissions via Machine Learning
Tao Li, Lixing Wang, Zihan Qiu +9
High temporal resolution CO2 emission data are crucial for understanding the drivers of emission changes, however, current emission dataset is only available on a yearly basis. Her…
Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023
Piyu Ke, Philippe Ciais, Stephen Sitch +13
In 2023, the CO2 growth rate was 3.37 +/- 0.11 ppm at Mauna Loa, 86% above the previous year, and hitting a record high since observations began in 1958, while global fossil fuel C…
Near-real-time monitoring of global ocean carbon sink
Piyu Ke, Xiaofan Gui, Wei Cao +11
Mitigation of climate change will highly rely on a carbon emission trajectory that achieves carbon neutrality by the 2050s. The ocean plays a critical role in modulating climate ch…
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…
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…
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…
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…
Global Gridded Daily CO Emissions
Xinyu Dou, Yilong Wang, Philippe Ciais +15
Precise and high-resolution carbon dioxide (CO) emission data is of great importance of achieving the carbon neutrality around the world. Here we present for the first time the…
Unprecedented decarbonization of China's power system in the post-COVID era
Biqing Zhu, Rui Guo, Zhu Deng +7
In October of 2020, China announced that it aims to start reducing its carbon dioxide (CO2) emissions before 2030 and achieve carbon neutrality before 20601. The surprise announcem…
Global Daily CO emissions for the year 2020
Zhu Liu, Zhu Deng, Philippe Ciais +25
The diurnal cycle CO emissions from fossil fuel combustion and cement production reflect seasonality, weather conditions, working days, and more recently the impact of the COVI…
De-carbonization of global energy use during the COVID-19 pandemic
Zhu Liu, Biqing Zhu, Philippe Ciais +15
The COVID-19 pandemic has disrupted human activities, leading to unprecedented decreases in both global energy demand and GHG emissions. Yet a little known that there is also a low…
Estimates of daily ground-level NO2 concentrations in China based on big data and machine learning approaches
Xinyu Dou, Cuijuan Liao, Hengqi Wang +11
Nitrogen dioxide (NO2) is one of the most important atmospheric pollutants. However, current ground-level NO2 concentration data are lack of either high-resolution coverage or full…
Carbon Monitor: a near-real-time daily dataset of global CO2 emission from fossil fuel and cement production
Zhu Liu, Philippe Ciais, Zhu Deng +15
We constructed a near-real-time daily CO2 emission dataset, namely the Carbon Monitor, to monitor the variations of CO2 emissions from fossil fuel combustion and cement production…
COVID-19 causes record decline in global CO2 emissions
Zhu Liu, Philippe Ciais, Zhu Deng +37
The considerable cessation of human activities during the COVID-19 pandemic has affected global energy use and CO2 emissions. Here we show the unprecedented decrease in global foss…