A new study reveals that a combination of large-scale atmospheric circulation and strong soil moisture feedback contributed to North China's record-breaking three-day heatwave in late June 2023. The study found that the extreme heat was amplified by an unusually dry season, with temperatures soaring past 40°C in some areas.
The China Meteorological Administration has demonstrated significant improvements in both track and intensity prediction accuracy for tropical cyclones. The study finds that track forecast errors have reduced, particularly at longer lead times, while intensity forecasts have also shown advancements.
A new dataset has been developed to study climate change in the Arctic Ocean. The dataset spans from 1900 to 2100 with high resolution, offering a more accurate understanding of the region's changing climate. It significantly reduces simulation errors and improves representation of key variables.
A comprehensive review synthesizes decades of research on Asian monsoon climate prediction, highlighting three key pillars: ENSO, atmospheric teleconnections, and monsoon-ocean interactions. The study emphasizes the need for a multi-pronged approach to overcome challenges in forecasting, including leveraging AI and improving model accu...
Researchers developed a novel deep learning-based framework that improves five-day regional weather forecasting accuracy, even with limited data. The method achieved significant improvements in temperature, precipitation, and wind speed forecasts, outperforming mainstream global AI models.
The study reveals significant differences in transition duration, location, and mechanism among four clusters of ETCs. Recurving ETCs undergo transition during track recurvature, while westward ETCs transform rapidly after landing. Northwestward ETCs typically undergo transition in the baroclinic zone, and abnormal track ETCs complete ...
Marine heatwaves in the South China Sea are categorized into intensified and attenuated types based on sea surface temperature trends. Ocean dynamics drive nearly half of intensified MHWs, challenging the traditional view that atmospheric heating dominates.
A new study uses 100 ensemble members to analyze near-term precipitation projections for the QP, finding a complex east–west dipole pattern influenced by the Interdecadal Pacific Oscillation. This helps increase consistency of precipitation projections.
China experienced severe rainstorms and flooding disasters in 2024, with the Yangtze River basin and southern regions witnessing intense rainfall. The country saw its second-longest heatwave on record, while autumn typhoons displayed exceptional intensity.
Compound heat-humidity extremes in eastern China are lasting longer than ever before, significantly increasing health risks for the elderly and young children. The study found that the active season has expanded, especially in South China, leading to a major public health crisis as China's population ages.
The Three Gorges Region of the Yangtze River experienced a new historic record for annual mean temperature in 2024, with spring and autumn recording their highest temperatures since 1961. The region also saw an acceleration of climate warming trends, with more frequent extreme high-temperature events.
The BABAR-ERI satellite will measure outgoing broadband radiation with low uncertainty and high spatial resolution, helping unlock new scientific discoveries about clouds and energy flow. The instrument's novel detector arrays and pushbroom imager will provide flexible observing strategies and easier access to space.
The CNOP-DL method extends classical CNOP for deep learning methods, breaking deterministic causality and attributing forecast errors to all input slices. This new structure identifies critical time steps and locations where additional observations can significantly improve forecasts.
A new review synthesizes decades of observational evidence and climate modeling advances to chart a path forward for more reliable TC projections. The team determined that tropical sea surface temperature (SST) warming patterns modulate TC genesis, intensity, and spatial distribution.
The Western Pacific Subtropical High's (WPSH) predictability has significantly improved over the past century, mainly due to robust oceanic signals from the Indo-Pacific region. Three persistent oceanic predictors have emerged as crucial sources of predictable signals, accounting for 59% of WPSH prediction skill after 1960.
Record-breaking flooding in Central Asia was attributed to heavy snowmelt, extreme rainfall, and record-high soil moisture. Climate change amplifies compound disasters, posing significant challenges for predictions and projections of spring flooding risks.
Climate extremes are striking more frequently and intensely, posing a growing threat to public health across China. The review highlights the compounding impact of heatwaves, flooding, and air pollution, which often overlap and interact to amplify health risks.
A recent study reveals powerful low-level jets (LLJs) occur frequently in West Antarctica's Amundsen Sea Embayment, driven by storms and strengthened by cyclones. These winds significantly impact Thwaites and Pine Island glaciers' melting rates, influencing sea-level rise.
A new study reveals the Madden-Julian Oscillation (MJO) triggers dry, windy conditions that exacerbate wildfires in mid-latitude regions like Los Angeles. The research suggests strong MJO activity can lead to fire-favorable conditions thousands of miles away.
A new perspective study explores how shortwave radiation interacts with the Earth's atmosphere, shedding light on atmospheric modeling, satellite measurement gaps, and spectral structure. The research reveals key challenges and opportunities for improving fundamental understanding of Earth systems.
New research reveals that vegetation feedbacks played a key role in speeding up major climate changes during the late Miocene. Shifts in plant life intensified cooling in northern high latitudes and altered rainfall patterns in lower latitudes.
A new study reveals that winter sea surface temperatures in the Tasman Sea play a key role in influencing Antarctic Peninsula temperatures. Higher-resolution climate models better simulate atmospheric wave trains triggered by Tasman Sea SST changes.
SYCIM2.0 brings together advanced components for ocean, atmosphere, and land surface modeling, offering flexible grid resolution for complex regions like the Indo-Pacific. The model shows impressive stability and energy balance in a 250-year test, closely matching real-world patterns of sea surface temperature and rainfall.
A team of climate scientists found that six major oceanic modes influence prolonged heavy rainfall in China, which can lead to severe flooding. Winter sea temperatures in the tropical Pacific can predict summer flood potential with 75% accuracy.
Scientists uncovered a rare thunderstorm near the North Pole, which came within 44 kilometers of the pole. The storm formed during an Arctic warming event and began at an altitude of 1.5 kilometers above the surface.
A new study published in Journal of Geophysical Research: Atmospheres finds that updating climate baselines significantly alters the intensity, trend, and timing of detectable climate signals across Chinese mainland. Changing baselines leads to misjudgments in risk assessments and planning, especially in vulnerable areas.
A research team found that stages of 'dimming' and 'brightening' correspond with increased air pollution and implementation of clean energy solutions. The study suggests that reducing air pollution can lead to more sunlight reaching the Earth's surface, which could have compounding benefits for solar power production.
Researchers have developed a new forecasting tool called iDust that offers significant benefits for solar energy production by predicting dust storms with higher accuracy. The system provides critical support for China's expanding solar energy projects in desert regions, minimizing disruptions and financial losses.
A team of scientists analyzed chemical signatures in hailstones to determine their growth histories, finding most hailstones follow simple trajectories rather than the previously assumed recycling motion. The study identified key thresholds for hail growth and suggests that strong updrafts are essential for severe hailstorms.
Researchers identified three principal modes of interannual summer vegetation growth patterns in eastern Siberia, influenced by factors like soil moisture and sea surface temperature anomalies. The year-to-year increment method developed for climate prediction shows superior predictive capability.
A new study has uncovered important connections between Westerly Wind Bursts and sea surface temperature anomalies in the western-central equatorial Pacific. The research found that Westerly Wind Bursts are more frequent during spring developing noncyclic El Niño events, coinciding with localized warming of sea surface temperatures.
A recent study reveals a decadal-scale increase in hot-dry events with high mortality risk in China, primarily affecting the northwestern and southwestern regions. The findings are associated with phase transitions of the Atlantic Multidecadal Oscillation and interdecadal variability.
A new study reveals regional differences in Hadley circulation intensity trends, with the Indian Ocean region playing a key role in the discrepancy. The research highlights the importance of accurately simulating diabatic heating, zonal friction, and greenhouse gas external forcing to improve climate model accuracy.
A recent study assesses the forecasting skill of subseasonal ensemble models for extreme cold events in East Asia, revealing that some ensemble members exhibit significantly high forecasting skill. These high-skill members can accurately predict rapid changes in surface air temperature and minimum temperature during an event.
A recent study reveals that shifts in paleogeography and climate change have shaped the spring rainfall pattern. Spring persistent rainfall has prevailed in East Asia since the Miocene epoch, whereas in North America, it only flourished during the Eocene epoch. Climate warming is expected to be a dominant driver of future changes.
Researchers analyzed parent lightning discharges to determine the driving force behind the spectacular displays of red sprites over the Himalayas. The study found that high-peak current positive cloud-to-ground lightning strikes triggered the sprites, revealing complex upper-atmospheric electrical discharges.
Researchers developed a deep learning-based nowcasting model to predict lightning risks to power grids, accurately forecasting location and frequency trends of organized thunderstorms. The model achieved excellent performance in predicting winter and spring thunderstorms, supporting enhanced protection against lightning disasters.
A new study reveals that rising methane emissions could significantly impact ozone recovery, particularly in polar regions. The research suggests a dual effect of methane, both contributing to global warming and affecting ozone levels.
A new study reveals a significant southward shift in hurricane formation over the North Atlantic Ocean, linked to changes in wind patterns and warming trends. This trend raises concerns about increased disaster risks for vulnerable communities and coastal areas.
Researchers identify cloud-radiation feedback as dominant source behind differing tropical Pacific sea surface temperature (SST) changes in climate models. The study's findings highlight the critical role of these feedbacks in shaping future warming patterns.
A new study improves typhoon track and intensity forecasts using advanced parameterization schemes for friction velocity and cloud microphysics. The results show enhanced predictions with improved timing and magnitude of extreme tropical cyclone intensity values.
Research in Beijing reveals that differences in wind fields and thermodynamic conditions hinder or enhance thunderstorm cluster movement, with cold pools acting like topographical features to strengthen convergence. The study analyzed a specific merger process using simulation data from the Weather Research and Forecasting Model.
The National Natural Science Foundation of China funded 76 projects to study air pollution complex, achieving significant advances. Research focuses on instrument development, modeling studies, and understanding the impact of heterogeneous processes on haze chemistry.
A new study improves solar power forecasts by applying machine learning and post-processing techniques to weather models, revealing the time of day as a crucial factor for accuracy. The research suggests that including hourly data in algorithms can significantly enhance forecasting results.
A new study investigates record-breaking cold spells in a warming world and finds that human-induced climate change is weakening extreme cold events. The study projects that such events will become even rarer and milder by the end of the century.
Researchers investigated the impact of AI weather models' lateral boundary conditions on convective-scale ensemble forecasts, finding comparable performance to traditional models. Reducing the vertical resolution of these conditions led to inferior forecast results.
Recent study finds that optimal reference heights provide better estimates of surface turbulent fluxes and thus better Earth system model predictions. The results show that computing momentum flux and heat flux are particularly improved with these new reference heights.
A recent study has employed machine learning algorithms to improve the accuracy of flood season rainfall predictions. The findings show that combining climate system numerical models with ML-based correction methods results in substantial improvements, increasing prediction scores by up to 7.87%.
Researchers have introduced cutting-edge approaches to improve tornado record-keeping, including social media trawling, spaceborne photography, and UAV-based surveys. These methods aim to reduce uncertainties in tornado counts and refine intensity estimations, making global damage surveys more accurate, comprehensive, and timely.
2024 saw exceptional rainfall and flooding due to El Niño in winter 2023/24. Human-induced climate change exacerbated these events, causing socioeconomic impacts. Improved forecasting, warning dissemination, and 'climate-resilient' approaches are crucial for mitigating extreme event effects.