A New Energy High-Impact Process Weather Classification Method Based on Sensitivity Factor Analysis and Progressive Layered Extraction

Electronics, Год журнала: 2025, Номер 14(7), С. 1336 - 1336

Опубликована: Март 27, 2025

For the electricity system with a high proportion of new energy, extreme weather events caused by climate change will make energy power supply present an extremely complicated situation, thus affecting safe and stable operation system. In order to solve above problems, this study proposes classification method process based on Progressive Layered Extraction (PLE) model considering weather-sensitive factors impact energy. This analyses sensitive output from two perspectives abnormal prediction error, defines high-impact process, divides standard set. According set, identification PLE is constructed provide more accurate early warning information. The proposed applied cluster in Jiangxi Province, China. Compared traditional task model, accuracy increased 1.30%, which verifies effectiveness method.

Язык: Английский

---

Global and regional drivers for exceptional climate extremes in 2023-2024: beyond the new normal

npj Climate and Atmospheric Science, Год журнала: 2025, Номер 8(1)

Опубликована: Апрель 7, 2025

Abstract Climate records have been broken with alarming regularity in recent years, but the events of 2023–2024 were exceptional even when accounting for climatic trends. Here we quantify these across multiple variables and show how excess energy accumulation Earth system drove conditions. Key factors positive decadal trend Earth’s Energy Imbalance (EEI), persistent La Niña conditions beginning 2020, switch to El Niño 2023. Between 2022 2023, heating from EEI was over 75% larger than during onset similar events. We further regional processes shaped distinct patterns record-breaking sea surface temperatures individual ocean basins. If is maintained, argue that natural fluctuations such as ENSO cycles will increasingly lead amplified, impacts, serving a glimpse future climate extremes.

Язык: Английский

---

Machine Learning Techniques for Predicting Typhoon‐Induced Storm Surge Using a Hybrid Wind Field

Journal of Geophysical Research Machine Learning and Computation, Год журнала: 2025, Номер 2(2)

Опубликована: Апрель 10, 2025

Abstract Accurate and timely storm surge prediction is critical information in coastal zone management risk reduction strategies. The Bohai Sea, a semi‐enclosed bay the Northwest Pacific that used to be less prone typhoon disasters, has been witnessing paradigm shift activities recent past. Since there have limited typhoon‐induced surges an innovative system warranted address frequent intense impacts. Four Machine Learning (ML) models (Long Short‐Term Memory (LSTM), Convolutional Neural Networks (CNN), CNN‐LSTM, ConvLSTM) were built predict significantly improve when combined with three‐dimensional Finite Volume Community Ocean Model (FVCOM), is, FVCOM‐ML. In this study, FVCOM‐ML model was driven by hybrid wind field superimposed Holland reanalysis field. ML trained via Advanced Circulation simulations compensate for in‐situ observations. performances analyzed both spatial (e.g., single multiple sites) temporal steps) scale variability. overcome residual error of FVCOM, effectively reducing inherent uncertainty traditional methods. offers significant advantage over standalone FVCOM or while better incorporating realistic physical constraints improving accuracy forecasts.

Язык: Английский

---

Exploring Synoptic Patterns Contributing to Extreme Rainfall from Landfalling Tropical Cyclones in China

Weather and Climate Extremes, Год журнала: 2025, Номер unknown, С. 100768 - 100768

Опубликована: Апрель 1, 2025

Язык: Английский

---

Fast Warming Over the Mongolian Plateau a Catalyst for Extreme Rainfall Over North China

Geophysical Research Letters, Год журнала: 2025, Номер 52(8)

Опубликована: Апрель 25, 2025

Abstract Extreme rainfall events are becoming increasingly severe under a warming climate. North China has experienced several catastrophic events, of which the rainstorm in 2023 was particularly inducing unprecedented damage. Since 1980, neighboring Mongolian Plateau (MP) been at rate three times global average, faster than surrounding regions. Whether link exists between extreme and fast MP is unknown. Here, using variable‐resolution atmospheric model with convection‐permitting capability over China, we find rapid trends, MP, highly conducive to China. In case, induced an anomalous terrestrial high, Western Pacific Subtropical High created strong high‐pressure system This obstructed northeastward movement Typhoon Doksuri, concentrating moisture supply prolonged intensified extreme.

Язык: Английский

---

Increasing exposure of global croplands productivity to growing season heatwaves under climate warming

Environmental Research Letters, Год журнала: 2024, Номер 19(10), С. 104073 - 104073

Опубликована: Сен. 9, 2024

Abstract Growing season heatwaves that occur simultaneously over global croplands can negatively impact food baskets. The long-term changes of growing heatwaves, as well their impacts on productivity, are crucial to security, but remain unclear. Here, we investigated in the frequency, intensity and magnitude from past future croplands, based observations Coupled Model Intercomparison Project Phase 6 models. We introduced an index, gross primary productivity (GPP) exposure, a proxy overall cropland productivity. results show frequency have increased since 1950 will continue throughout 21st century. increase annual accumulated is mainly contributed by heatwave frequency. This leads global-scale GPP exposure with Asia, North America, Europe being most affected. continued dominated increases rather than itself. Under lower emission scenario SSP1-2.6, reduce 86.11% 330.47% relative under SSP2-4.5 SSP5-8.5 scenarios, respectively, end Our provide insights into potential hence security.

Язык: Английский

---

A high temporal resolution global gridded dataset of human thermal stress metrics

Scientific Data, Год журнала: 2024, Номер 11(1)

Опубликована: Окт. 10, 2024

The human thermal stress indices and datasets are vital for promoting public health reducing negative environmental impacts as global climate change extreme meteorological events increase. current generally use an instantaneous or average value to describe which cannot reflect the distribution of comfort conditions over time, there no global-scale with both 0.1° higher spatial resolution hourly temporal available yet. A novel metric, Thermal Stress Duration (TSD), is proposed represent accumulative time different levels within a certain period. high gridded dataset metrics (HiGTS) presented, consists maps Universal Climate Index (UTCI), (UTS), daily TSD at × land surface, spanning from January 1, 2000, December 31, 2023.

Язык: Английский

---

Rainy season onset over the Southeast Asia low-latitude highlands: objective definition and relation with spring drought

Climate Dynamics, Год журнала: 2024, Номер 63(1)

Опубликована: Ноя. 29, 2024

Язык: Английский

---

Increasing human-perceived temperature exacerbated by urbanization in China's major cities: Spatiotemporal trends and associated driving factors

Sustainable Cities and Society, Год журнала: 2024, Номер 118, С. 106034 - 106034

Опубликована: Дек. 7, 2024

Язык: Английский

---

Heatwaves, biodiversity and health in times of climate change

Jornal de Pediatria, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

---