Results 41 to 50 of about 9,607 (263)
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke +32 more
wiley +1 more source
Interdecadal variations, since the middle of the 20th century, in the seasonal cycle of Southern Hemisphere extratropical synoptic scale weather systems, are studied and related to associated anomalies in Southern Australian rainfall over south-west ...
Stacey L. Osbrough +1 more
doaj +1 more source
The development of the Australian Community Climate and Earth-System Simulator-Seasonal prediction system version 1 (ACCESS-S1) signifies a major step towards addressing predictive limitations in multi-week to seasonal forecasting throughout Australia ...
Tim Cowan +3 more
doaj +1 more source
CsPbI3 nanostructures integrated with g‐C3N4 formed S‐scheme heterojunctions enabling efficient photocatalytic CO2 reduction and NO abatement. The g‐C3N4/CsPbI3 nanowires achieved a CO production rate of 4.6 µmol g−1 h−1, while nanocrystal composites delivered 69.5% NO removal with only 5.0% NO2 selectivity, driven by highly energetic charge carriers ...
Xiao Zhang, San Ping Jiang
wiley +1 more source
Automated predictive analytics tool for rainfall forecasting
Australia faces a dryness disaster whose impact may be mitigated by rainfall prediction. Being an incredibly challenging task, yet accurate prediction of rainfall plays an enormous role in policy making, decision making and organizing sustainable water ...
Maulin Raval +5 more
doaj +1 more source
Sunspots and Australian rainfall
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
openaire +2 more sources
Improved Skills for Predicting Sub‐Seasonal to Seasonal Global Sea Surface Temperature
Addressing the critical Sub‐seasonal to Seasonal predictability gap, this study presents CAS‐Canglong, a novel deep learning framework. By leveraging 3D Swin‐Transformers to capture long‐range ocean interactions, the model demonstrates superior skill over traditional GCMs.
Longhao Wang +6 more
wiley +1 more source
Impacts of the Madden–Julian Oscillation on Australian Rainfall and Circulation
Abstract Impacts of the Madden–Julian oscillation (MJO) on Australian rainfall and circulation are examined during all four seasons. The authors examine circulation anomalies and a number of different rainfall metrics, each composited contemporaneously for eight MJO phases derived from the real-time multivariate MJO index.
Wheeler, M.C. +4 more
openaire +2 more sources
A hygroscopic hydrogel layer functionalized with fullerene C60 tackles heat and dust challenges in bifacial photovoltaics (PV) panels. It resists soiling and photo‐aging, maintains high transparency, absorbs water vapor from the air during the night, and delivers strong evaporative cooling power during daytime, significantly lowering PV panel ...
Xiaoqi Zhou +6 more
wiley +1 more source
The ENSO-Australian rainfall teleconnection in reanalysis and CMIP5 [PDF]
Australian rainfall is strongly influenced by El Nino-southern oscillation (ENSO). The relationship between ENSO and rainfall in eastern Australia is non-linear; the magnitude of La Nina events has a greater effect on rainfall than does the magnitude of El Nino events, and the cause of the non-linearity is unclear from previous work.
King, AD +3 more
openaire +2 more sources

