Results 201 to 210 of about 207,056 (304)

The Emergence of a Climate Change Signal in Ireland's Rainfall Extremes

International Journal of Climatology, EarlyView.
Analysis of Irish precipitation records (1930–2019) shows significant relationships between rainfall extremes and global mean surface temperature (GMST), with increases of 12%–27% per °C of warming. Emergence of unusual climate conditions is already evident at several stations, most notably in the west during winter and the southeast during summer ...
Saoirse Fordham, Conor Murphy
wiley   +1 more source

Increasing landslide susceptibility and intensity under climate change for Aotearoa New Zealand. [PDF]

Sci Rep
Dreyer L, Robinson TR, Katurji M, Leith K, Williams JH.   +4 more
europepmc   +1 more source

Seasonal Characteristics of Mesoscale Convective Systems Over the Philippines

International Journal of Climatology, EarlyView.
This study examines how mesoscale convective systems (MCSs) over the Philippines are most frequent during boreal summer, while those in winter are longer‐lived and more intense due to cold surges and enhanced easterly moisture transport. Intraseasonal oscillations, such as the Madden‐Julian Oscillation (MJO) and the Boreal Summer Intraseasonal ...
Cathrene Lagare, Junshi Ito, Takeshi Yamazaki, Giuseppe Torri   +3 more
wiley   +1 more source

Extreme rainfall reshapes permafrost thermal regimes across the Northern Hemisphere. [PDF]

Nat Commun
Li Q, Peng X, Frauenfeld OW, Wu Z, Wang Y, Mu C.   +5 more
europepmc   +1 more source

On the Temporal Variability of Precipitation in Iraq: Arid‐Wet Years and Extreme Events

International Journal of Climatology, EarlyView.
Daily and monthly precipitation data in Iraq display high seasonal to interdecadal variability, with arid and wet years that have very distinct seasonal cycles. Monthly rainfall is significantly correlated with the Indian Ocean Dipole. Extreme events are identified and classified as belonging to four different weather patterns, allowing to obtain daily
Ali Raheem Al‐Nassar, Josep L. Pelegrí, Pánfilo Masciángioli   +2 more
wiley   +1 more source

Projected intensification of precipitation extremes in the Kosi Basin using CMIP6 models. [PDF]

Sci Rep
Singh AK, Roshni T, Singh V.
europepmc   +1 more source

The Role of Daily and Monthly Bias Corrected Data in Preserving the Monthly Cross‐Correlation Between Precipitation and Temperature

International Journal of Climatology, EarlyView.
Daily bias‐correction aggregated to monthly scale preserves the cross‐correlation between precipitation and temperature better than direct monthly bias‐correction. The Canonical Correlation Analysis (CCA) method outperforms Quantile Regression (QR) and MACA, yielding lower bias and higher accuracy, highlighting its suitability for multivariate climate ...
Chingka Kalai, Shiqi Fang, Rajarshi Das Bhowmik, A. Sankarasubramanian   +3 more
wiley   +1 more source

Archeological data with AI- and physics-based modeling explain typhoon-induced disasters in inland China around 3000 yr B.P. [PDF]

Sci Adv
Ding K, Li S, Ding A, Lu H, Zhang J, Xi D, Huang X, Lou S, Tang X, Qiu X, He L, Ma Y, Lin H, Zhang S, Zhou D, Zhou X, Tan ZM, Fu C, Ge Q.   +18 more
europepmc   +1 more source

Three Generations of NARCliM: Evaluation of Precipitation, Temperature and Their Extremes Over the CORDEX Australasia Domain

International Journal of Climatology, EarlyView.
The NSW and Australian Regional Climate Modelling Version 2.0 (NARCliM2.0) builds on NARCliM1.0 and 1.5 to deliver improved regional climate simulations. This study provides the first comprehensive evaluation of NARCliM2.0 against its predecessors, assessing individual model skill in reproducing mean and extreme climate.
Fei Ji, Moutassem El Rafei, Giovanni Di Virgilio, Jatin Kala, Jason P. Evans, Julia Andrys, Eugene Tam, Stephen White, Dipayan Choudhury, Rishav Goyal, Carlos Rocha, Yue Li, Matthew L. Riley   +12 more
wiley   +1 more source

Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning. [PDF]

PLoS One
Zhang Z, Xiao Y, Chen B, Long K, Liang F, Liao J.   +5 more
europepmc   +1 more source