Zobrazeno 1 - 10
of 3 841
pro vyhledávání: '"CIAIS Philippe"'
Autor:
Li, Tao, Wang, Lixing, Qiu, Zihan, Ciais, Philippe, Sun, Taochun, Jones, Matthew W., Andrew, Robbie M., Peters, Glen P., ke, Piyu, Huang, Xiaoting, Jackson, Robert B., Liu, Zhu
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. Here, we extended a global daily CO2 emissions dataset backwards in time
Externí odkaz:
http://arxiv.org/abs/2407.20057
Autor:
Ke, Piyu, Ciais, Philippe, Sitch, Stephen, Li, Wei, Bastos, Ana, Liu, Zhu, Xu, Yidi, Gui, Xiaofan, Bian, Jiang, Goll, Daniel S, Xi, Yi, Li, Wanjing, O'Sullivan, Michael, de Souza, Jeffeson Goncalves, Friedlingstein, Pierre, Chevallier, Frederic
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 CO2 emissions only increased by 0.6 +/- 0.5%. This implies an unprecede
Externí odkaz:
http://arxiv.org/abs/2407.12447
Autor:
Fogel, Fajwel, Perron, Yohann, Besic, Nikola, Saint-André, Laurent, Pellissier-Tanon, Agnès, Schwartz, Martin, Boudras, Thomas, Fayad, Ibrahim, d'Aspremont, Alexandre, Landrieu, Loic, Ciais, Philippe
Estimating canopy height and canopy height change at meter resolution from satellite imagery has numerous applications, such as monitoring forest health, logging activities, wood resources, and carbon stocks. However, many existing forest datasets ar
Externí odkaz:
http://arxiv.org/abs/2407.09392
Autor:
Pauls, Jan, Zimmer, Max, Kelly, Una M., Schwartz, Martin, Saatchi, Sassan, Ciais, Philippe, Pokutta, Sebastian, Brandt, Martin, Gieseke, Fabian
We propose a framework for global-scale canopy height estimation based on satellite data. Our model leverages advanced data preprocessing techniques, resorts to a novel loss function designed to counter geolocation inaccuracies inherent in the ground
Externí odkaz:
http://arxiv.org/abs/2406.01076
Image-level regression is an important task in Earth observation, where visual domain and label shifts are a core challenge hampering generalization. However, cross-domain regression within remote sensing data remains understudied due to the absence
Externí odkaz:
http://arxiv.org/abs/2405.00514
The Global Methane Pledge and other methane measures may potentially undermine CO2 mitigation in certain countries, unless they are considered as additional to the existing Nationally Determined Contributions to strengthen overall greenhouse gas emis
Externí odkaz:
http://arxiv.org/abs/2402.04749
To assess the impact of potential future climate pledges after the first Global Stocktake, we propose a simple, transparent framework for developing emission and temperature scenarios by country. We show that current pledges with unconditional target
Externí odkaz:
http://arxiv.org/abs/2312.16326
Autor:
Ke, Piyu, Gui, Xiaofan, Cao, Wei, Wang, Dezhi, Hou, Ce, Wang, Lixing, Song, Xuanren, Li, Yun, Zhu, Biqing, Bian, Jiang, Sitch, Stephen, Ciais, Philippe, Friedlingstein, Pierre, Liu, Zhu
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 change by sequestering CO2 from the atmosphere. Relying on the multidisc
Externí odkaz:
http://arxiv.org/abs/2312.01637
Autor:
Deroubaix, Paul, Kobashi, Takuro, Gurriaran, Léna, Benkhelifa, Fouzi, Ciais, Philippe, Tanaka, Katsumasa
Urban decarbonization is one of the pillars for strategies to achieve carbon neutrality around the world. However, the current speed of urban decarbonization is insufficient to keep pace with efforts to achieve this goal. Rooftop PVs integrated with
Externí odkaz:
http://arxiv.org/abs/2306.00132
Autor:
Fayad, Ibrahim, Ciais, Philippe, Schwartz, Martin, Wigneron, Jean-Pierre, Baghdadi, Nicolas, de Truchis, Aurélien, d'Aspremont, Alexandre, Frappart, Frederic, Saatchi, Sassan, Pellissier-Tanon, Agnes, Bazzi, Hassan
Accurate and timely monitoring of forest canopy heights is critical for assessing forest dynamics, biodiversity, carbon sequestration as well as forest degradation and deforestation. Recent advances in deep learning techniques, coupled with the vast
Externí odkaz:
http://arxiv.org/abs/2304.11487