EarthLab aims to simulate physical climate, environmental, and ecological systems for better predicting natural disasters and understanding Earth's spheres. The facility will enable researchers to predict Earth systems on a vast time and spatial scale.
A study suggests that China will experience an increase in landfalling tropical cyclones by the end of the 21st century, with a projected 16% rise in annual mean frequency and a 10% increase in occurrence frequency. The study used regional climate models to simulate future changes in temperature and precipitation patterns.
A study published in Geophysical Research Letters found that anthropogenic forcing has increased drought risk in Southeast Asia, with more frequent and widespread droughts over the past six decades. The region's biodiversity is also threatened due to water scarcity issues exacerbated by climate change.
Research investigates ferric oxalate's role in atmospheric oxidation, revealing its contribution to the formation of secondary organic aerosols (SOA) and affecting radiative forcing. The study highlights the significance of superoxide radicals in oxidizing organic compounds.
Researchers developed a simple-to-use Multivariable Integrated Evaluation Tool (MVIETool) to facilitate climate model evaluation and models inter-comparison. The improved MVIE method provides a more comprehensive and precise evaluation of climate model performance, including accurate evaluation results for spatial fields.
Scientists have made significant progress in understanding the atmospheric oxidation capacity, which is crucial for reducing smog and haze formation. Researchers have developed indexes to characterize this capacity in Beijing and plan to apply them in other highly polluted regions of China.
A new forecasting method has been developed to improve TC intensity forecast skill, providing more precise 5-7 day forecasts for coastal regions of East Asia. The logistic growth equation-based approach outperforms conventional methods, offering potential for forecasting rapid intensification and weakening.
Researchers used the hybrid OSSE method to evaluate the impact of GEO hyperspectral IR data on local severe storm forecasts. The study found improved atmospheric temperature, moisture, and precipitation forecasts, with a 5% Root Mean Square Error (RMSE) reduction.
A study links climate features to the variability of global tropical storm days from 1965 to 2019. The research reveals that tropical storm days vary in patterns lasting 3-6 years or 10 years, tied to El Niño-Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO).
Researchers analyzed vertical ozone distributions and found deep stratospheric intrusions contributed to large ozone partial pressure in the troposphere. Long-range transport of wildfire smoke from central Russia in 2016 caused ozone pollution over the northern Tibetan Plateau.
A new metric characterizes the 'inertia' of water after rainfall, allowing better analysis of freshwater storage capability using satellite data. On average, global land surfaces can retain over one quarter of monthly precipitation, with smaller areas having wetter conditions and larger areas having drier climates.
Research highlights model biases in simulating large-scale and convective precipitation, leading to inaccurate rainfall projections. The study suggests that accurate convective/large-scale rainfall partitions are necessary for reliable climate projections.
Scientists create new approach to measure error components, finding more than half of total error variance attributed to misplacement of weather features. The study also reveals that displacement errors dominate structural inaccuracies in forecast fields.
Scientists study how human emissions impact SOA formation from volatile organic compounds produced by vegetation. Research suggests that anthropogenic pollutants can modify SOA formation potential, which has implications for climate change and air quality.
A recent study by the Institute of Atmospheric Physics found that indoor aerosol species are primarily from outdoor air exchange. The researchers measured indoor PM2.5 concentrations and chemical compositions, revealing differences in organic aerosol due to temperature changes. Improved ventilation strategies may actually increase expo...
Fengyun satellite data is available for real-time users, scientific researchers, and public users, with over 10TB of daily data volume produced daily. The data has been validated with in-situ observations and cross-referenced with other well-known satellite products.
In 2020, China experienced a warm and wet climate, with floods and droughts being the most prevalent types of disasters. The mean air temperature was 0.7°C above normal, and annual rainfall was 10.3% above average.
The study found that sea surface temperature fluctuations in tropical Pacific, Indian, and Atlantic Oceans contribute to heavy rainfall events in China. Additionally, the Siberian High pressure system played a significant role in inducing cold surges during the winter of 2020/21.
In 2020, the Arctic sea-ice extent was significantly lower than predicted by forecasting systems, with most institutions overestimating the coverage of sea ice. This highlights the ongoing challenge of accurately predicting Arctic sea-ice extent on subseasonal-to-seasonal time scales.
A study analyzing high-resolution model simulations found that mountainous terrain, particularly the Nanling Mountains in Jiangxi Province, initiates back-building convective lines. This leads to torrential flooding and heavy rainfall within the mei-yu front rainband.
Researchers found a significant positive correlation between December sea surface temperature in the Indian Ocean and haze days in January over the Yangtze River Delta region. The study reveals that favorable local meteorological conditions, including increased air temperature and southerly winds, facilitate haze formation.
Research led by Prof. Ping Huang found that the ENSO-Indian summer monsoon rainfall relationship has been strengthening since 1999/2000, driven by tropical Atlantic SST anomalies. This restoration of the relationship improves climate prediction and restores confidence in physical process-based predictions.
Research highlights human-induced drying trend in Central Asia since 1950s, linked to climate change and air pollution. Enhanced greenhouse gas emissions shift subtropical westerly jet, leading to descending motion and drought.
A new study reveals inconsistencies between satellite and ground-based radar data on cloud top height, highlighting the importance of surface temperature in these discrepancies. The Tibet Plateau proved an ideal location for this research, providing high elevation and sparse weather reporting stations.,
Research reveals enhanced western Pacific MJO-related convection during the 2015/2016 super El Niô event. The warm SST anomaly was located more westward than previous events, leading to increased moisture and air temperature in the central-western Pacific.
Research reveals lakes promote latent heat mixing but suppress carbon dioxide exchange compared to other land surfaces. The findings published in Advances in Atmospheric Sciences highlight the need for future field experiments to investigate energy and carbon dioxide exchange at different scales.
The Tibetan Plateau has warmed more rapidly than the global average in recent decades, primarily caused by greenhouse gas emissions. The plateau's rapid warming poses significant risks for regional hydrological cycles and ecosystem services.
The launch of a comprehensive tropical cyclone database and recent marine observing experiments may improve prediction accuracy and help mitigate disasters. Researchers aim to better understand tropical cyclones to inform disaster reduction planning, using technologies like artificial intelligence and unmanned vehicles.
Dust aerosol optical depth negatively affects cloud water in the lower troposphere. This change can alter atmospheric enthalpy surrounding a tropical cyclone, influencing its intensity. Dr. Zhang's study suggests that anomalous enthalpy changes are related to dust AOD conditions in eastern Pacific TCs.
Researchers highlight China's success in launching nationwide ecological projects, which have contributed to over half of the country's natural carbon sinks. Implementing natural climate solutions could result in mitigating nearly 15 trillion pounds of greenhouse gases per year.
A recent study reveals that droughts over the southwestern Tibetan Plateau are triggered by ocean warming in the eastern Pacific, approximately 18,000 km away. The researchers found that anomalous advection of moist enthalpy and suppressed rainfall contribute to this phenomenon.
A new satellite-measured Solar-induced Chlorophyll Fluorescence (SIF) product is introduced to enhance carbon neutrality research. The SIF product, developed using a physical-based algorithm named IAPCAS/SIF, retrieves emission data from two micro-windows within the O2 A-band.
The Three Gorges project has affected local climate, with a warmer spring and autumn and drier fall in the region. Climate extremes, such as heat waves and flooding, are linked to larger Yangtze River Basin weather patterns.
Fog-haze events over the North China Plain were caused by meteorological conditions, not emission reductions during the COVID-19 lockdown. The study found that higher temperatures and relative humidity accelerated secondary aerosol formation, while low wind speeds inhibited pollutant diffusion.
A recent study found that China's Clean Air Act led to a significant decline in atmospheric deposition of heavy metals, with beneficial effects on soil pollution. The act reduced fine particles and sulfate aerosols, resulting in lower levels of toxic metals like cadmium in the environment.
Researchers analyzed temperatures from Dec. 1, 2020, to mid-January 2021, finding that warming in the Arctic and cooling in the tropical Pacific contributed to record-breaking low temperatures across 58 cities in China. The synergistic effect intensified cold air intrusions into mid-high latitudes, influencing extreme cold conditions.
Researchers found a significant decrease in atmospheric ammonia concentrations during COVID-19 lockdowns in urban Beijing and rural Xianghe sites, contradicting previous assumptions about the major source of ammonia emissions.
Researchers found that radar overestimates precipitation rates when partially frozen droplets are larger than their solid and liquid counterparts. The phenomenon, known as reflectivity maxima above freezing (RMAF), is more common on windward slopes of mountain ranges.
A new study analyzes the relationship between the Mongolian cyclone and the South Asian high, finding that their coupling accounts for 66% of seasonal rainfall anomalies in China. The research suggests that enhancing summer rainfall forecast skill in China can be achieved by analyzing these phenomena in the upper-level atmosphere.
Researchers found significant differences in VOC concentrations and proportions vertically between winter and summer. Alkanes were the largest chemical species, primarily from gasoline combustion, which increased with altitude.
In a study published in Environmental Pollution, researchers found that strict emission controls contributed to a decline in black carbon loading in urban Beijing. The aerosols became 'slim', with smaller core sizes and less coatings, indicating reduced solar radiation absorption and improved air quality.
Research evaluated 21 clear-sky detection methods, finding they produce lower accuracy rates when detecting cloudy skies. Higher aerosol loading significantly reduces clear-sky detection accuracy, highlighting the need for improved methods in polluted regions.
Researchers found a significant interdecadal decrease in extreme heat days over Northeast China from the 1980s to 2000s, driven by reduced variability of daily maximum temperature. The Silk Road and East Asian-Pacific teleconnections played a crucial role in modulating this change.
Regional disparities exist in responses of secondary pollutants to emission reductions, especially fine particulate matter and ozone. Ozone shows rising signals in most areas, but declining signal exists in North America despite reduced nitrogen oxides.
A team of Chinese scientists, led by Professor Jianping Huang, developed the Global Prediction System of the COVID-19 Pandemic (GPCP) to predict the spread of the disease. The GPCP combines epidemiological data and models using advanced algorithms, achieving better results than traditional methods.
Increased snow depth in northeastern China led to a continued warming trend in soil temperatures, contradicting observed surface air temperature cooling trends. This finding suggests the importance of snow cover in regulating soil temperatures and its implications for agriculture during periods of reduced global warming.
Researchers have completed a multi-level hydrological tracking of the Yangtze River to investigate cloud formation during the intense mei-yu rainy season. The effort will enable more accurate forecasts of this key meteorological phenomenon in East Asia.
Researchers found that local emissions significantly contribute to the formation of regional haze and particle growth in Beijing. The study suggests that a reduction of anthropogenic gaseous precursors can suppress particle growth, leading to haze alleviation.
A newly merged global surface temperature dataset, including reconstructed land and marine measurements, reveals a consistent increased warming trend compared to previous estimations. The study provides evidence that the globe has warmed at a significantly faster rate than previously thought, with improved coverage of the Earth's surface.
China's stringent air pollution control policies have led to a significant decrease in aerosol concentrations, but winter haze events still occur. A recent study found that the controls have resulted in a much stronger increase in surface solar radiation in eastern and central China.