Results 211 to 220 of about 192,649 (315)

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

Multivariate stochastic generation of meteorological data for building simulation through interdependent meteorological processes. [PDF]

Sci Rep
Jiao Z, Yuan J, Farnham C, Emura K.
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

Validation of Citizen Science Meteorological Data: Can They Be Considered a Valid Help in Weather Understanding and Community Engagement? [PDF]

Sensors (Basel)
Loglisci N, Milelli M, Iurato J, Galia T, Galizia A, Parodi A.   +5 more
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

Photovoltaic Power Prediction Based on Hybrid Deep Learning Networks and Meteorological Data. [PDF]

Sensors (Basel)
Guo W, Xu L, Wang T, Zhao D, Tang X.
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

Precision Prediction for Dengue Fever in Singapore: A Machine Learning Approach Incorporating Meteorological Data. [PDF]

Trop Med Infect Dis
Tian N, Zheng JX, Li LH, Xue JB, Xia S, Lv S, Zhou XN.   +6 more
europepmc   +1 more source

Growing Degree‐Day Trends Associated With ‘False Springs’ in the Continental United States

International Journal of Climatology, EarlyView.
Earlier spring warming has increased growing degree‐day (GDD) accumulation prior to the last freeze at some US locations (red circles = stat. sig. increases). However, after accounting for spatial autocorrelation using a false discovery rate approach, few trends remain significant, indicating no coherent continental‐scale increase in false spring risk.
Robert E. Davis, Julia Finkbeiner, Marion Donald, Manuel Lerdau   +3 more
wiley   +1 more source

Hybrid attention-based deep neural networks for short-term wind power forecasting using meteorological data in desert regions. [PDF]

Sci Rep
Belletreche M, Bailek N, Abotaleb M, Bouchouicha K, Zerouali B, Guermoui M, Kuriqi A, Alharbi AH, Khafaga DS, El-Shimy M, El-Kenawy EM.   +10 more
europepmc   +1 more source