Results 141 to 150 of about 11,795 (298)
Toward Generative Machine Learning for Boosting Ensembles of Climate Simulations
Abstract Accurately quantifying uncertainty in predictions and projections arising from irreducible internal climate variability is critical for decision‐making. Such uncertainty is typically assessed using ensembles produced with climate models. However, computational constraints impose a trade‐off between generating large ensembles required for ...
Parsa Gooya +2 more
wiley +1 more source
To improve the scientific planning of crop cultivation regions, enhance crop quality, mitigate meteorological disaster risks, and optimize the utilization of climatic resources, this study analyzed temperature data from 141 national meteorological ...
Le Zhangyan +12 more
doaj +1 more source
The escalating frequency of climate change-induced droughts poses a severe threat to rainfed maize cultivation in Thailand's upper Nan River Basin (NRB).
Rabin Bastola +3 more
doaj +1 more source
CMIP6.HighResMIP.CNRM-CERFACS.CNRM-CM6-1-HR
Coupled Model Intercomparison Project Phase 6 (CMIP6) data sets.
Voldoire, Aurore
core +1 more source
Global climate change will modify the distribution areas of important cereal bugs by changing environmental conditions. Information on their dispersal possibilities can help to clarify their future economic importance and damage potential. In this study, we modelled the current potential and future distribution of four important pests by using the ...
Szilvia Gibicsár +2 more
wiley +1 more source
Forecasting Climate Change Using a Multivariate Cointegrated System
ABSTRACT A cointegrated vector equilibrium correction model of key climate variables including sea surface temperature, ocean heat content, Arctic sea‐ice extent and sea‐level change is built, driven by radiative forcing in which a stochastic trend arises due to anthropogenic emissions of greenhouse gases.
Jennifer L. Castle +3 more
wiley +1 more source
The CMIP6 Data Request (version 01.00.31)
International audienceAbstract. The data request of the Coupled Model Intercomparison Project Phase 6 (CMIP6) defines all the quantities from CMIP6 simulations that should be archived. This includes both quantities of general interest needed from most of
Durack, Paul +8 more
core +1 more source
Abstract Initialized climate prediction systems provide forecasts on seasonal‐to‐decadal timescales, but their computational cost has motivated the development of cheaper alternatives such as analog‐based approaches. Recent studies suggest that constraining large climate model ensembles using analogs of past sea surface temperature (SST) can yield ...
Pep Cos +5 more
wiley +1 more source
Drought represents a significant contributing factor to global climate-related disasters.It not only endangers the stability of global ecosystems and biodiversity but also has far-reaching implications for socio-economic development.As global climate ...
Xinyao XU +4 more
doaj +1 more source
Stratospheric Ozone Depletion Causes Southern Ocean Surface Cooling
Abstract Stratospheric ozone depletion strongly influences Southern Ocean climate change. Using coupled climate model simulations, we quantify the transient effect of stratospheric ozone depletion on sea surface temperature (SST) over the Southern Ocean from 1982 to 2005.
Shouwei Li +4 more
wiley +1 more source

