Results 181 to 190 of about 45,474 (275)

Climate-crop models to support opportunity crop adaptation in Africa. [PDF]

Nat Commun
Yang M, Guarin JR, Freduah BS, Wesley GO, MacCarthy DS, Narh S, Castellano A, Jägermeyr J, Karl K, Mendez Leal E, Asseng S, Zhao C, Ruane AC, Rosenzweig CE.   +13 more
europepmc   +1 more source

Persisting Day and Night High Surface Ozone Pollution Driven by Compound Heatwaves

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract While daytime heatwaves are well‐known to exacerbate surface ozone (O3) pollution, the role of compound heatwaves with persistent day‐night hot in O3 pollution remains unclear. Taking China's Sichuan Basin (SCB) as an example, we find compound heatwaves persistently intensify surface O3 concentration day and night, with significant positive ...
Jiayi Xing, Guicai Ning, Xiaoling Zhang, Bin Zhu, Minjie Cheng, Tianliang Zhao, Junfeng Wang, Yuanjian Yang   +7 more
wiley   +1 more source

Temperature Is Surpassing Precipitation as the Dominant Driver of Flash Drought Acceleration Under Climate Warming

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract Flash droughts (FDs), characterized by rapid soil moisture depletion, are typically driven by multiple factors including precipitation deficits, high temperature, increased radiation, strong winds, and enhanced land‐atmosphere coupling. However, the dominant driver and its temporal evolution remain unclear.
Feng Ma, Hua Li
wiley   +1 more source

Spatial Flows of Information Entropy as Indicators of Climate Variability and Extremes. [PDF]

Entropy (Basel)
Twaróg B.
europepmc   +1 more source

ENSO‐CausalNet: Integrating Causal Inference Into Deep Learning for Robust ENSO Prediction

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract Climate mode interactions are inherently causal. While deep learning excels at climate prediction, particularly for El Niño‐Southern Oscillation (ENSO), its interpretability remains limited to validating known correlations. Here we propose a paradigm integrating causal inference into data‐driven modeling to enable predictions based on genuine ...
Yuehan Cui, Bin Mu, Shijin Yuan, Bo Qin
wiley   +1 more source

Lack of influence of cross-equatorial ocean heat transport on the interannual variability of the indian summer monsoon. [PDF]

Sci Rep
Saran R, Sandeep S.
europepmc   +1 more source

Increasing Frequency and Persistence of the Summertime Greenland High Regime Not Captured by a Seasonal Prediction Model Very Large Ensemble

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract Weather regimes are widely used in weather prediction, but less often to study climate variability and change. Here, we use a year‐round North American regime classification to identify summertime circulation trends from 1981 to 2024. We find large increases in the frequency, persistence and interannual variability of the Greenland High (GH ...
Simon H. Lee, Lorenzo M. Polvani
wiley   +1 more source

Associations between monthly temperature anomalies and mortality among children younger than five years in low- and middle-income countries. [PDF]

Commun Med (Lond)
Li P, Wu J, Xue T, Zhu T.
europepmc   +1 more source

When Winds Collide With Precipitation: Dominance of Anthropogenic Forcing in Escalating Compound Extremes Over Southeast Asia

Geophysical Research Letters, Volume 53, Issue 1, 16 January 2026.
Abstract Compound wind and precipitation extremes (CWPEs) pose significant threats to natural resources and the socio‐economic security. This study investigates the projected changes and driving factors of CWPEs over Southeast Asia (SEA) based on Coupled Model Intercomparison Project Phase 6 outputs. Results show that the frequency of CWPEs during 2070–
Yifei Jiang, Fei Ge, Quanliang Chen, Klaus Fraedrich, Qichang Tan   +4 more
wiley   +1 more source