Results 201 to 210 of about 30,636 (215)

LLM-Enhanced CMIP6 Search

We present LLM-Enhanced CMIP6 Search, a Python-based tool built with LangChain and LangGraph frameworks that simplifies the discovery of and access to Coupled Model Intercomparison Project Phase 6 (CMIP6) climate data through natural language processing.
Boris Shapkin, Dmitrii Pantiukhin, Ivan Kuznetsov, Antonia Anna Jost, Nikolay Koldunov   +4 more
openaire   +1 more source

Twenty-first century global glacier evolution under CMIP6 scenarios and the role of glacier-specific observations

The Cryosphere
. Projecting the global evolution of glaciers is crucial to quantify future sea-level rise and changes in glacier-fed rivers. Recent intercomparison efforts have shown that a large part of the uncertainties in the projected glacier evolution is driven by
H. Zekollari, M. Huss, Lilian Schuster, Fabien Maussion, D. Rounce, Rodrigo Aguayo, N. Champollion, Loris Compagno, R. Hugonnet, B. Marzeion, Seyedhamidreza Mojtabavi, D. Farinotti   +11 more
semanticscholar   +1 more source

Improving CMIP6 Atmospheric River Precipitation Estimation by Cycle‐Consistent Generative Adversarial Networks

Journal of Geophysical Research: Atmospheres
Given the important role of Atmospheric River precipitation (ARP) in the global hydrological cycle, accurate representation of ARP is significant. However, general circulation models (GCMs) demonstrate bias in simulating ARP.
Yuan Tian, Yang Zhao, Jianping Li, Hongxiong Xu, Chi Zhang, L. Deng, Yinjun Wang, Min Peng   +7 more
semanticscholar   +1 more source

Evaluation of global fire simulations in CMIP6 Earth system models

Geoscientific Model Development
. Fire is the primary form of terrestrial ecosystem disturbance on a global scale and an important Earth system process. Most Earth system models (ESMs) have incorporated fire modeling, with 19 of them submitting model outputs of fire-related variables ...
Fang Li, Xiang Song, Sandy P. Harrison, J. Marlon, Zhongda Lin, L. R. Leung, J. Schwinger, Virginie Marécal, Shiyu Wang, Daniel S. Ward, Xiao Dong, Hanna Lee, Lars Nieradzik, Sam S. Rabin, R. Séférian   +14 more
semanticscholar   +1 more source

CMIP6

2023
openaire   +1 more source

Projected precipitation extremes from CMIP6 and CORDEX-CMIP6 downscaled simulations in Australian capital cities

Australian urban population accounts for over 90% of total population and is concentrated in coastal areas. Projections show that the extreme precipitatio will be more intense and frequent. We investigated changes to daily mean, moderately extreme (99th and 99.7th percentile), and rare extreme (Annual Exceedance Probability (AEP) 1 in 10, 50, and 100 ...
Jozef Syktus, Rohan Eccles, Ralph Trancoso   +2 more
openaire   +1 more source

CMIP6 Evaluation and Projection of Temperature and Precipitation over China

Advances in Atmospheric Sciences, 2021
Xiaoling Yang, Botao Zhou, Ying Xu, Zhenyu Han   +3 more
semanticscholar   +1 more source

Solar Forcing for CMIP6

2023
openaire  

CMIP6 Model Evaluation for Mean and Extreme Precipitation Over India

Pure and Applied Geophysics
Prabha Kushwaha, Vivek Kumar Pandey, Prashant Kumar, Divya Sardana   +3 more
semanticscholar   +1 more source

Response to CMIP6 Panel

2016
openaire   +1 more source