A study published by the Institute of Atmospheric Physics predicts significant economic impacts on provinces like Hunan, Jiangxi, and Guangdong due to increased heavy precipitation and droughts. The region's GDP is expected to be hardest hit under certain climate change scenarios, emphasizing the need for adaptation strategies.
A recent study at the Beijing Observatory has homogenized daily temperature data for over a century, correcting biases and deriving more reliable conclusions about climate change. The study reveals a significant warming trend of 0.199℃ per decade, with winter showing the most pronounced increase.
Researchers employed an advanced ocean data assimilation scheme to predict subsurface temperature anomalies, improving forecasting for marine heatwaves like the Blob. The new approach leveraged a broader range of oceanic observations, enhancing accuracy in the lower ocean layer.
A recent study led by Prof. Yele Sun found that gym air contains a higher percentage of organic aerosols compared to outdoor air, with 50% of indoor air consisting of these particles. The study also identified two types of organic aerosols that can be inhaled during exercise, potentially impacting health.
A new data center aims to tackle emerging air quality issues in China, providing a comprehensive platform for scientific research and collaboration. The China Air Pollution Data Center (CAPDC) offers high-quality datasets and tools to help combat ozone pollution and other complexities.
A recent study published in the Journal of Hydrology reveals significant changes in bioclimatic environments across China's dry–wet transition zones due to climate change. The research identifies these zones as hotspots of ecosystem vulnerability, emphasizing the need for targeted impact assessment and adaptation studies.
Researchers advocate for a collaborative approach between AI and physics in climate modeling to impose physical constraints and achieve global optimality. By integrating AI's spatial prowess with physics' foundational principles, they aim to create a truly learnable climate model.
The year 2023 saw unprecedented extreme weather events globally, with a record-breaking temperature increase of 1.45°C above pre-industrial times. Emerging features include earlier onset of heatwaves and increased simultaneous events in different parts of the world.
A recent machine learning study has discovered a surprising link between wildfires in the western United States and hailstorms in the central US. The research, led by Jiwen Fan, used ML algorithms to analyze vast datasets spanning two decades, predicting hail storms with remarkable accuracy.
Researchers found isolated deep convection (IDCs) mainly concentrate in the southern Tibetan Plateau, with an average of 54.2 IDCs per rainy season. IDCs contribute up to 70% of extreme precipitation in July and August, highlighting their significant role in regional weather patterns.
The subtropical westerly jet has been shifting northward under global warming, with research suggesting that temperature changes are the primary driver. According to a new study, about 72% of the jet's northward movement is due to changes in temperature, while eddy-driven effects account for around 28%.
A new study proposes a novel approach to detecting turbulence anomalies directly from quick access recorders (QARs) aboard aircraft, enhancing civil aviation safety. The method leverages symbolic classifiers and QAR data, offering a reliable and efficient solution for identifying turbulence anomalies.
Research by Dr. Shengping He reveals that diminishing Arctic sea ice triggers a 'Warm Arctic, Cold East Asia' pattern, with winter temperatures in East Asia influenced by this climate mode. The study predicts increasing winter newly formed ice until mid-century under various emissions scenarios.
Elevated surface ozone concentrations in China pose a significant threat to human health and crop yields. A study found that extreme heat exacerbates ozone pollution through complex chemical and physical processes, particularly during stagnant weather conditions.
A new study by Chinese Academy of Sciences and Texas A&M University reveals regional to global changes in biogenic volatile organic compound (BVOC) emissions from 2001 to 2020. The research, published in Atmospheric Chemistry and Physics, highlights the impact of global greening trends on BVOC emissions.
A study by Prof. Xu YUE from Nanjing University of Information Science & Technology found a causal relationship between remote extreme heat and the 2023 Canadian wildfires. The research revealed a significant correlation between high temperatures and fire intensity, with anomalies in maximum temperatures preceding severe wildfire events.
The study reveals that a specific MP scheme simulates storms with less rain evaporation and weaker air movements compared to others. It also found that this scheme produces more cloud ice but rains less on the ground due to its handling of icy particles.
Research suggests global warming enhances the modulation of tropical cyclone genesis by summer intraseasonal oscillation. The study found increased water vapor content and convective activity under global warming conditions, leading to enhanced formation density of tropical cyclones.
Researchers used a Convolutional Long Short-Term Memory (ConvLSTM) neural network to predict Antarctic sea ice conditions. The prediction results showed a remarkably close alignment with recent satellite observations, confirming the reliability of the forecasting system and its potential for reliable Antarctic sea ice forecasting.
Researchers make important breakthroughs in understanding water vapor transport and heavy precipitation around the Grand Canyon, shedding light on its impact on the Tibetan Plateau. The study reveals a dry bias in satellite data and highlights the need for calibration.
A recent study found an increase in the number of extreme cold days in North China during 2003-2012, with a peak in 2003. The research suggests that natural decadal variability played a significant role in this trend, while human-induced climate change also contributed to regional extreme events.
The study reveals comparable net radiation between the Tibetan Plateau and Yangtze River region, with minimal disparity primarily due to differences in longwave radiation. Surface heat fluxes vary significantly depending on soil conditions, with grassland exhibiting higher latent heating and lower sensible heating.
Researchers have developed a non-crossing quantile regression neural network (NCQRNN) model to enhance the statistical reliability of weather forecasts. The NCQRNN model preserves the rank order of output nodes, ensuring lower quantiles stay smaller than higher ones, boosting accuracy and improving forecast interpretability.
A recent study found persistent increases in precipitation throughout the 21st century, with significant variability among climate models. The study identified the vertical thermodynamic component as a major driver of this variability, with a weak effect from the vertical dynamical term.
Researchers from the Institute of Atmospheric Physics identified persistent mode of East Asian trough month-to-month variation in March-April, accompanied by long-lasting climate anomalies. The study's findings hold potential to improve regional climate predictions and disaster prevention efforts.
Researchers found a poleward shift of tropical cyclone genesis on a global scale due to climate change, with the rate of TC genesis decreasing within latitudes equatorward of 15° and increasing poleward of 15° in each basin. The weakening of the Hadley circulation driven by increased upper tropospheric warming is attributed to this shift.
The study introduces attention-based hybrid models that combine the strengths of physics-based models and deep learning capabilities to improve soil moisture predictions. The research shows that ensemble hybrid model outperforms current models for long-term predictions, while attention hybrid model excels in drought predictions.
A deep learning model predicts Antarctic sea ice will remain near historical lows in 2024, with a slight increase in extent compared to the record low in 2023. The model accurately reproduced three historical summer lows and showed promise for seasonal prediction of Antarctic sea ice.
The study found that secondary eyewall formation occurs mainly in upper-layer vertical wind shear at low shear height and fake concentric eyewalls are present in lower-layer VWS at high shear height. Broad stratiform clouds were located in the downwind sector before SEF, leading to active convection on the inner side of the clouds.
A research team developed novel graph neural network models that improve precipitation forecasting skills by coupling physical variables, revealing a significant improvement over traditional numerical models. The models demonstrated superior consistency and forecasting skills, especially for heavy rainfall events.
The ocean's temperature increased by 15 zettajoules relative to 2022, with warmer surface waters contributing to extreme weather patterns. Stratification is also rising, reducing oxygen levels and affecting marine life.
A recent study found that anthropogenic forcing increases the occurrence probability of a 2022Drought-like event by 56% due to changes in moisture and upward motion. Under low-emissions scenarios, drought risk declines, while high-emissions scenarios project a 79% higher chance.
Researchers found a delayed influence of Tibetan plateau's spring heat source on Northeast China's summer precipitation. Soil moisture plays a crucial role in this process, facilitating increased rainfall in the Yellow River basin and North China.
Researchers from China have developed an algorithm to derive atmospheric ammonia concentrations from the HIRAS instrument on the FY-3D satellite. This marks the first global map of atmospheric ammonia observed by the HIRAS instrument, providing crucial insights into its environmental impact and climate change implications.
A new study improves thunderstorm forecasting by utilizing Geostationary Operational Environmental Satellite (GOES-R) lightning flash observations. The implementation of the EnVAR assimilation capabilities successfully enhances the forecasting performance, especially over regions lacking operational weather radar observations.
A recent study explores the complex links between surface temperature and outgoing longwave radiation, uncovering hidden mechanisms shaping Earth's climate. The research reveals that vertical convective energy transport acts as an atmospheric mixer, suppressing nonlinearity between OLR and surface temperature.
The Institute of Atmospheric Physics predicts a potentially record-breaking winter due to the convergence of global warming and the El Niño phenomenon. Regions in mid-low latitudes of Eurasia and Americas are likely to experience an exceptionally warm winter, with a 95% chance of setting a new historical record.
A study published in Advances in Atmospheric Sciences found that record-setting Canadian wildfires had a significant impact on air quality across the Northern Hemisphere. The research used numerical air quality models to simulate the dispersal of pollutants from the fires, revealing widespread effects beyond Canada and the US.
A recent study highlights the urgent need to address uncertainties in tropical cyclone projections due to climate change. The research emphasizes the importance of improving predictive capabilities to refine climate adaptation strategies and safeguard vulnerable coastal regions.
Researchers found that anthropogenic climate change heightens risks of spatially compounding flooding and heatwave events, with likelihood increasing tenfold by mid-21st century under high-emissions scenario. Adopting low-emissions scenario could reduce this likelihood to seven times more probable.
A new study reveals a disturbing trend of increased short-duration extreme precipitation over mountainous regions in Southwest China, exacerbating climate change impacts. The research finds that these events are more frequent and intense than total precipitation, posing significant risks to lives and ecosystems.
Compound extreme events like heatwaves and droughts in eastern China were prolonged by land-atmosphere coupling, leading to devastating impacts on agriculture. The study highlights the crucial role of soil moisture and energy exchange in sustaining these events.
A recent study has found that 'hot model' climate projections for China have been overestimating the rate of warming. The research team developed an efficient method to correct this issue, resulting in projected temperatures 1.29 ℃ lower than initial estimates for the end of the 21st century.
A global study sheds light on extreme heat and drought events in 2022, attributing them to circulation patterns, oceanic forcing, and anthropogenic climate change. The research aims to enhance prediction and mitigation capabilities for future extreme weather occurrences.
A recent study by Dr. Dongxu Yang and his team from the Institute of Atmospheric Physics, Chinese Academy of Sciences, has shed light on the critical issue of anthropogenic carbon dioxide emissions. They conducted a campaign in Shenzhen and Nanning, using a Low-cost UAV Coordinated Carbon Observation Network (LUCCN) to monitor greenhou...
A new approach reduces computational demands by 84% and enables daily estimation of emissions for major pollutants in urban areas. This leads to a notable 7.1% reduction in root mean square errors in 7-day PM2.5 forecasts, contributing to healthier air for all.
The UK Met Office Hadley Centre introduces a new globally gridded monitoring product, HadISDH.extremes, which provides valuable insights into temperature extremes and their humidity characteristics. The dataset covers the period from January 1973 to December 2022 and features wet and dry bulb extremes indices.
The Tibetan Plateau plays a crucial bridging role between mid-to-high-latitude forcing and tropical regions, influencing Asian monsoon and ENSO events. The study reveals the TP's intermediate effect on the North Atlantic tripole pattern and its impact on East Asian summer monsoons.
Researchers developed an advanced terrain-smoothing technique to simulate complex weather phenomena, capturing detailed flow features and turbulence. The targeted smoothing method improves the accuracy of downslope windstorm predictions in urban areas, holding promise for more accurate weather forecasts.
Climate models project a weakening relationship between the Asian-Pacific Oscillation and winter precipitation in southern China. The study found that as the APO weakens, atmospheric circulation anomalies become unfavorable for precipitation in southern China.