Results 41 to 50 of about 7,825 (236)

Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6 [PDF]

open access: yes, 2023
To analyze links among key processes that contribute to Arctic-midlatitude teleconnections we apply causal discovery based on graphical models known as causal graphs.
Katja Weigel   +13 more
core   +1 more source

Spatio‐Temporal Analysis of Human Thermal Comfort and Relationships With Large‐Scale Climate Indices Along Ghana's Coastal‐Urban Corridor From 1980 to 2020

open access: yesInternational Journal of Climatology, EarlyView.
Four decades of UTCI data show increasing thermal stress along Ghana's coastal‐urban corridor, with very strong heat‐stress days rising by about 1.4 days/year. Random Forest–SHAP analysis with temporal validation identified AOD as the strongest model‐based predictor of monthly UTCI variability, followed by TSA, WHWP, and AMO.
Kwadwo Frimpong   +3 more
wiley   +1 more source

ENSO and Teleconnections Observed Using MISR Cloud Height Anomalies

open access: yesRemote Sensing, 2018
Cloud-top height is an important climate variable due to its greenhouse effect, as well as being a useful indicator of circulation patterns. We use effective height anomalies from stereo retrievals at a horizontal resolution of 1.1 km after subtracting ...
Roger Davies
doaj   +1 more source

Ocean–atmosphere circulation coherences associated with temperature increase in Pakistan

open access: yesEnvironmental Research Letters, 2023
In recent decades, temperature variations have significantly affected the ecosystem and human livelihood in Pakistan. The wavelet analysis is employed to identify the associations between regional temperature change and global teleconnections, i.e ...
Azfar Hussain   +10 more
doaj   +1 more source

Compound Meteorological and Hydrological Hot‐Dry and Hot‐Wet Extremes Over Global Land Areas: Spatiotemporal Changes, Attribution, and Drivers

open access: yesInternational Journal of Climatology, EarlyView.
The changes in joint return period of compound meteorological hot‐dry (CMHHE) and hot‐wet (CMHWE) and compound hydrological hot‐dry (CHHDE) and hot‐wet (CHHWE) extremes were attributed to changes in associated univariate extremes and their dependence.
Ruting Yang   +6 more
wiley   +1 more source

Stability of ENSO teleconnections during the last millennium in CESM

open access: yes, 2023
The El Niño-Southern Oscillation (ENSO) has a significant impact on the global climate through atmospheric teleconnections. It is important to understand the stability of ENSO teleconnections, not only for future weather forecasting and climate ...
Fei Liu   +13 more
core   +1 more source

Combining point correlation maps with self-organising maps to compare observed and simulated atmospheric teleconnection patterns

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2013
We use a new method based on point correlation maps and self-organising maps (SOMs) to identify teleconnection patterns in 60 yr of National Centres for Environmental Prediction/National Centre for Atmospheric Research (NCEP/NCAR) sea level pressure (SLP)
Freja K. Hunt   +4 more
doaj   +1 more source

Interannual Variability and Seasonal Predictability of Wind and Solar Resources

open access: yesResources, 2017
Solar and wind resources available for power generation are subject to variability due to meteorological factors. Here, we use a new global climate reanalysis product, Version 2 of the NASA Modern-Era Retrospective Analysis for Research and Applications (
Nir Y. Krakauer, Daniel S. Cohan
doaj   +1 more source

ENSO or the Atlantic: Which Actually Governs the Hydrological Vulnerability of the Caatinga?

open access: yesInternational Journal of Climatology, EarlyView.
This study challenges the traditional ENSO‐centric paradigm of rainfall variability in the Caatinga by demonstrating that the Tropical Atlantic exerts a statistically dominant influence on regional hydrological vulnerability. Using a seasonal ARX/HAC model and CHIRPS data, we establish a new hierarchy of climatic drivers across six rainfall districts ...
Jonathan Antunes Ponte Cavalcante Leite   +3 more
wiley   +1 more source

Short‐Term Agricultural Drought Prediction Using Explainable Data‐Driven Models and Quantified Uncertainty

open access: yesInternational Journal of Climatology, EarlyView.
This study demonstrates that explainable deep learning models can skilfully predict short‐term agricultural drought using standardized drought indices, capturing hydroclimatic memory and seasonal persistence. The integration of uncertainty quantification and SHAP‐based interpretability reveals the dominant role of antecedent moisture and climate ...
K. Saranya Das   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy