the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of global fire simulations in CMIP6 Earth system models
Xiang Song
Sandy P. Harrison
Jennifer R. Marlon
Zhongda Lin
L. Ruby Leung
Jörg Schwinger
Virginie Marécal
Shiyu Wang
Daniel S. Ward
Xiao Dong
Hanna Lee
Lars Nieradzik
Sam S. Rabin
Roland Séférian
Related authors
We studied the impact of climate change on nematodes in a palsa peatland in Norway. This ecosystem, crucial for carbon storage, is rapidly changing due to warming and permafrost thaw. We found that intact palsas host more nematode populations, but warming reduces their numbers, particularly bacterivores and omni-carnivores. Additionally, fungivores became more dominant over the summer. These changes may alter nutrient cycles, highlighting the need to study nematodes in fragile Arctic ecosystems.
Climate models are crucial for predicting climate change in detail. This paper proposes a balanced approach to improving their accuracy by combining traditional process-based methods with modern artificial intelligence (AI) techniques while maximizing the resolution to allow for ensemble simulations. The authors propose using AI to learn from both observational and simulated data while incorporating existing physical knowledge to reduce data demands and improve climate prediction reliability.
Synthesis and AnaLysis) database, SISALv3, which, for the first time, contains speleothem trace element records, in addition to an update to the stable isotope records available in previous versions of the database, cumulatively providing data from 365 globally distributed sites.
green manureto reducing or removing the use of N fertilizer in global agricultural systems, considering different climate conditions, management practices, and land-use change scenarios.
ecosystem services. The overall impacts are strongest in future scenarios with more severe climate change, high population growth, and/or resource-intensive lifestyles.
nudgeto the observed winds. Here we systematically evaluate how well this technique performs across a large suite of chemistry–climate models in terms of its ability to reproduce key aspects of both the tropospheric and stratospheric circulations.