Spatiotemporal distribution and driving factors of atmospheric pollutants in the U-Chang-Shi urban agglomeration, Northwestern China. [PDF]
Chen S +5 more
europepmc +1 more source
Seasonal Characteristics of Mesoscale Convective Systems Over the Philippines
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 +3 more
wiley +1 more source
Spatiotemporal evolution and physical mechanism analysis of boundary layer wind characteristics of typhoon Saola. [PDF]
Liang J +5 more
europepmc +1 more source
On the Temporal Variability of Precipitation in Iraq: Arid‐Wet Years and Extreme Events
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 +2 more
wiley +1 more source
Integrated photovoltaic-agriculture systems enhance soil health in desert ecosystems: evidence from microbial biomass and nutrient synergies. [PDF]
Ma M +11 more
europepmc +1 more source
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 +3 more
wiley +1 more source
An Open-Source Data Driven Hybrid Modeling System for Infectious Disease Surveillance and Early Warning. [PDF]
Zhang J +6 more
europepmc +1 more source
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 +12 more
wiley +1 more source
Advancing operational global aerosol forecasting with machine learning. [PDF]
Gui K +22 more
europepmc +1 more source

