Results 31 to 40 of about 25,986,593 (308)

Long-term sea-level change revisited: the role of salinity

Environmental Research Letters, 2014
Of the many processes contributing to long-term sea-level change, little attention has been paid to the large-scale contributions of salinity-driven halosteric changes.
Paul J Durack, Susan E Wijffels, Peter J Gleckler   +2 more
doaj   +1 more source

A 25 km daily gridded dataset of meteorological variables and high-impact weather events for new-type power systems in China [PDF]

Earth System Science Data
The new-type power system exhibits pronounced “weather dependency”, wherein high-impact weather events can significantly exacerbate operational security risks.
F. Zhang, K. Bi, X. Chen, Y. Yang, F. Yang, C. Wang   +5 more
doaj   +1 more source

The Short-Term Climate Prediction System FIO-CPS v2.0 and its Prediction Skill in ENSO

Frontiers in Earth Science, 2021
The climate model is an important tool for simulating and predicting the mean state and variability of the climate system. The First Institute of Oceanography-Climate Prediction System (FIO-CPS), built on a climate model with the oceanic observation ...
Yajuan Song, Yajuan Song, Yajuan Song, Qi Shu, Qi Shu, Qi Shu, Ying Bao, Ying Bao, Ying Bao, Xiaodan Yang, Xiaodan Yang, Xiaodan Yang, Zhenya Song, Zhenya Song, Zhenya Song   +14 more
doaj   +1 more source

Optimization of snow cover fraction parameterization in the Community Land Model: implementation and preliminary validation over the Tibetan Plateau [PDF]

Geoscientific Model Development
Snow cover over the Tibetan Plateau (TP) is not only a key land forcing for the regional and global climate but also an important water resource for surround regions. However, state-of-the-art climate models still exhibit substantial biases in simulating
K. Yang, C. Wang, Y. Cui, L. Ai, F. Zhang, P. Zhaoye, P. Zhaoye   +6 more
doaj   +1 more source

Climate Model Intercomparison [PDF]

CHANCE, 2017
Despite some climate “skeptics” over global warming and climate change due to human influence, it is safe to say that scientific consensus has been achieved and the majority of the public believes ...
openaire   +2 more sources

Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables

Climate Dynamics, 2017
Most bias correction algorithms used in climatology, for example quantile mapping, are applied to univariate time series. They neglect the dependence between different variables.
Alex J. Cannon
semanticscholar   +1 more source

Sowing Storms: How Model Timestep Can Control Tropical Cyclone Frequency in a GCM

Journal of Advances in Modeling Earth Systems, 2022
With general circulation models (GCMs) being increasingly used to explore extreme events over short temporal and small spatial scales, understanding how design choices in model configuration impact simulation results is critical. This research shows that
Colin M. Zarzycki
doaj   +1 more source

Building Adaptation Measures Using Future Climate Scenarios—A Scoping Review of Uncertainty Treatment and Communication

Buildings, 2023
The global climate is changing. Predicting the impacts this will have on buildings is the first step in the process of finding suitable building adaptation measures. Future climate adaptation of buildings and infrastructure is a growing field of research,
Jørn Emil Gaarder, Hans Olav Hygen, Rolf André Bohne, Tore Kvande   +3 more
doaj   +1 more source

Evaluation of the Ability of CMIP6 Global Climate Models to Simulate Precipitation in the Yellow River Basin, China

Frontiers in Earth Science, 2021
Choosing an appropriate GCM (Global Climate Model, GCM) is of great significance for the simulation of the hydrological cycle over a basin under future climate scenarios.
Lin Wang, Lin Wang, Jianyun Zhang, Jianyun Zhang, Jianyun Zhang, Zhangkang Shu, Zhangkang Shu, Yan Wang, Yan Wang, Yan Wang, Zhenxin Bao, Zhenxin Bao, Zhenxin Bao, Cuishan Liu, Cuishan Liu, Cuishan Liu, Xiong Zhou, Guoqing Wang, Guoqing Wang, Guoqing Wang   +19 more
doaj   +1 more source

The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 1: Aerosol evaluation

Geoscientific Model Development, 2019
. We introduce and evaluate aerosol simulations with the global aerosol–climate model ECHAM6.3–HAM2.3, which is the aerosol component of the fully coupled aerosol–chemistry–climate model ECHAM–HAMMOZ.
I. Tegen, D. Neubauer, S. Ferrachat, C. Siegenthaler‐Le Drian, I. Bey, N. Schutgens, P. Stier, D. Watson‐Parris, T. Stanelle, H. Schmidt, S. Rast, H. Kokkola, M. Schultz, S. Schroeder, N. Daskalakis, Stefan Barthel, B. Heinold, U. Lohmann   +17 more
semanticscholar   +1 more source