Researchers used moss (Haplocladium microphyllum) to monitor N deposition rates and sources in the Yangtze River Delta. They found a significant linear relationship between moss N content and wet N deposition rate, with decreasing trends from urban to rural areas.
Researchers found that typhoons and eutrophic surface sea waters may be significant sources of dissolved organic nitrogen (ON) in wet deposition. Approximately one-third of total ON wet deposition was attributed to the co-occurrence of intense events like typhoons and strong rainfall.
A recent study found that the Tianjin Port explosion significantly increased atmospheric nitrogen deposition in the Bohai Sea, with a 308.49 micromole N increase per square meter per day. The study suggests that the impact area of the explosion on the Bohai Sea is approximately 1/5 of its total area.
Researchers found that satellite data sets are reliable substitutes for reproducing water vapor features over the Tibetan Plateau, while reanalysis data sets have varying quality depending on time scales considered. A skill-weighted ensemble mean of reanalysis data shows promise for future studies.
Researchers found that the Australian CEF weakens moisture transportation and decreases monsoon rainfall over South Asia by a quarter. The presence of islands in the Maritime Continent also intercepts westward propagation of quasi-biweekly oscillation, leading to decreased rainfall.
A study published in Journal of Climate found significant associations between global warming and intensified extreme rainfall in global monsoon regions, affecting nearly two-thirds of the world's population. Regional characteristics, including aerosols, urbanization, and climate natural variability, also impact extreme rainfall.
A new drought index, SEDI, sensitively captures biological changes in ecosystems due to drought evolution. The study assesses its effectiveness in highlighting vegetation responses to climatic fluctuations and heavy droughts.
A recent study found a significant increasing trend of flash drought frequency over China during 1961-2005, driven by anthropogenic greenhouse gas emissions. The exposure risk in southern provinces with humid climates is expected to increase by up to 40% in the middle of this century.
The Noah land surface model with multi-parameterization options (Noah-MP) simulates key hydrological variables across China. The model generally reproduces spatiotemporal patterns of runoff and evapotranspiration, capturing major flood and drought events.
Researchers explore energy redistribution between atmosphere and ocean, finding no slowdown in global warming when ocean heat content is considered. Oceanic warming poses a threat to marine ecosystems and biodiversity.
The Antarctic ozone hole's decline has indirectly helped increase sea ice due to altered atmospheric and oceanic circulations. Ozone-induced changes impact sea surface temperatures and dynamics of sea ice.
A Japanese research team found that incorporating radiosonde data from Antarctica improves forecasting accuracy for severe cyclones. The study successfully predicted the central pressure, wind speed, and moisture transport of an extreme cyclonic event 2.5 days in advance.
In 2018, China experienced more frequent and severe typhoons, low-temperature freezing and snow disasters, and rainstorms. Despite these extreme events, the area of affected crops, death toll, and direct economic losses were significantly less than in previous years.
A study published in Advances in Atmospheric Sciences found that air pollution under clear skies significantly reduces the amount of sunlight reaching Earth's surface. The study highlights the negative impact of air pollution on renewable energy harvesting and associated economic burdens, as well as its effects on air purity.
A recent study using convection-permitting models showed improved accuracy in simulating heavy rainfall events in the Yangtze River Basin. The models were found to better reproduce the spatial distribution of precipitation and smaller-scale disturbances, reducing biases compared to global models.
Scientists at Institute of Atmospheric Physics use a new method to track pollution from cooking by applying a black carbon tracer. COA contributes 15-27% to total organic aerosol in summer and even more than 10% during heating periods, with significant enhancements of coal combustion emissions.
A new machine learning method, MOML, simulates weather consultation to improve forecast accuracy by 27.91% compared to ECMWF model forecasts. The approach leverages observational data and both high- and low-frequency information for more accurate results.
Researchers evaluated satellite and reanalysis PWV datasets against radiosonde observations in Central Asia, finding ERA5 and MERRA2 perform better in climatological characteristics and interannual variations. The study provides valuable information for future research on water cycle in Central Asia.
A study by Prof. Renhe Zhang and colleagues found that El Niño decays faster than La Niña due to asymmetrical zonal wind anomalies in the equatorial western Pacific. The negative sea surface temperature anomaly associated with La Niña events persists for more than a year, resulting in a longer duration.
A combination of local emissions, transport from outside the region, and terrain-driven circulation contribute to high aerosol loading over the eastern slope of the Tibetan Plateau. The study highlights the need for understanding aerosol transport processes and physical mechanisms to mitigate environmental risks.
A study published in Journal of Climate reveals that global warming will accelerate the water cycle over global land monsoon regions, enlarging the wet-dry season contrast. This could lead to increased crop yields in some areas and food security threats due to depleted soil water.
Researchers found that volcanic eruptions in one hemisphere reduce monsoon rainfall in the same hemisphere, while enhancing it in other hemispheres. This phenomenon is attributed to changes in atmospheric circulation, which play a dominant role in rainfall responses.
A new study suggests that super volcanic eruptions could significantly impact ozone layer recovery, with estimated depletions ranging from 2.5% to 6.4%. The research used transport and chemistry-climate models to simulate the effects of super volcanoes on stratospheric ozone during different recovery periods.
The FGOALS-f3-L climate model has been developed to capture the basic patterns of atmospheric circulation and precipitation. The new model is fast in completing computing tasks and overcomes some model biases related to climate sensitivity and cloud microphysics.
The FY series satellite program has undergone four main stages, with recent advancements focusing on improved core data processing techniques. Chinese meteorological satellites are now a crucial component of the global observing system, providing stable and accurate measurements.
Research findings show that mid-high latitude climate variability significantly impacts the East Asian monsoon, with a synergistic effect on predictability sources. Chinese scientists propose new concepts to explain combined effects of regional climate variabilities on East Asian climate.
Dual-polarization radars in China have improved understanding of precipitation microphysics and quantitative precipitation estimation. The data collected from these radars has been used to validate numerical models and improve hydrometeor classification.
Researchers from the Climate Change Research Center discovered that the positive-phase AMO causes nonuniform Eurasian summer warming. The study highlights the role of the Silk Road Pattern in modulating atmospheric variability, leading to amplified warming.
Semi-arid regions in northern China have expanded significantly over the past 60 years due to climate change. The drying trend is linked to a weakened East Asian summer monsoon and amplified by land-atmosphere interactions. This expansion increases the risk of desertification, food insecurity and water scarcity.
A recent study published in Journal of Climate confirms that the Tibetan Plateau plays a key role in enhancing East Asian summer monsoon circulation under global warming. The study found that enhanced latent heating over the plateau stimulates cyclone anomalies, leading to stronger southerly winds in East Asia.
Researchers linked East Asia's extreme heat in spring 2018 to North Atlantic SST anomalies. The study found a link between tripole mode of North Atlantic SST anomalies and anomalous Rossby wave trains over the North Atlantic and Eurasia.
Researchers discovered that an anomalous anticyclone and cyclonic anomaly over the western North Pacific facilitated extreme heat via subsidence anomalies. Cooling over the southeastern tropical Indian Ocean also contributed to this phenomenon.
A global dataset analysis revealed exponential increases in gross primary productivity (GPP) and ecosystem respiration (ER) with mean annual temperature (MAT), with maximum leaf area index (LAI) as a key factor determining carbon fluxes across all biomes. The model explained 53% of GPP variations and 48% of ER variations, highlighting ...
Researchers review existing works on using IoT and crowdsourced data for atmospheric research, highlighting its potential to improve weather forecasting and monitoring environmental processes. The innovative approach can provide valuable insights into atmospheric conditions, such as temperature, pressure, and air pollution.
A new ocean climatology reveals the global ocean is warming due to changes in atmospheric conditions, with temperatures increasing by 0.05°C over the past 25 years. The study provides valuable background information for various applications and highlights the importance of periodic updates to ocean climatologies.
Researchers found two types of mid-latitude wave trains linked to concurrent extreme heat events in South Korea and Southern-Central Japan. The studies reveal unique characteristics of circulation responsible for extreme heat, differing from other regions.
A recent study by Duan et al. has shown that human influence on climate change can be traced back to the late 19th century based on summer-winter temperature difference. The amplitude of seasonal temperature fluctuations has been decreasing widely, and this trend can be traced back to the 1860s.
Researchers propose a unified approach to optimize radar polarimetry data for precise weather forecasting. This combines observation-based retrievals with model-based analysis to improve quantitative precipitation estimation, warnings, and forecasts.
Researchers found that enhanced rainfall in the tropics preceded each heat wave in predictable patterns, linking tropical weather to Central California's hot weather. The study used data from 1979 to 2010 and linked heat waves to the Madden-Julian Oscillation, a large atmospheric circulation pattern.
A new crop-climate coupled model simulates crop development and production, offering improved accuracy in climate predictions. The model successfully captures crop phenology and corrects biases in the original climate model, making it a valuable tool for global change studies.
A scientific collaboration found that a high-pressure system in the atmosphere directly caused the extreme heat, while increased sea surface temperatures contributed about 50% to the 2017 heat. The researchers also identified the western tropical Pacific as a key factor influencing regional temperatures.
Scientists propose a new benchmark skill to improve decadal prediction of terrestrial water storage. The study suggests that incorporating decadal climate prediction significantly improves baseline skill over major river basins at various lead times.
Researchers used CubeSats to study alternative remote sensing technologies, finding they can provide added value in local severe storm forecasting. More CubeSats with increased data coverage yielded larger positive impacts, suggesting a cost-saving approach to mitigating data gaps.
Developed by Zhang et al., the CS-WD-WNN model outperforms other models in wind speed prediction with high accuracy, providing essential data for wind farm operations.
Research reveals that sea ice loss in the Arctic causes rapid warming, which will persist even after melting is complete. The study suggests that this phenomenon is more pronounced during certain periods, particularly during cloud season, due to seasonal sea-ice melting and its impact on atmospheric heat transfer.
Scientists found that wind stress and its curl are key factors in simulating the Pacific North Equatorial Countercurrent. Weak biases in these models affect tropical surface currents and climate simulations.
Researchers found seasonal variations in raindrop size distribution in East China, with summer having larger raindrops and higher mean rain rates. These findings have implications for microwave communication, radar, and satellite remote sensing, as well as numerical weather prediction models.
Scientists from Institute of Atmospheric Physics found a strong relationship between historical precipitation biases in South Asia and the western North Pacific and future Sahel precipitation projections. The study reveals a 109% increase in Sahel summer precipitation and a 119% increase in available water resources due to global warming.
The study found that anthropogenic nitrogen discharge significantly increased DIN in US rivers due to fertilizer use, while European rivers were affected by point source pollution. The total anthropogenic impact on Pacific Ocean export has risen from 10% to 30% over the past 20 years.
Researchers used a high-resolution model to study mesoscale air-sea interaction, revealing its significant impact on oceanic circulation, atmospheric processes, and cloud formation. The study highlights the importance of resolving oceanic mesoscale eddies and fronts in global coupled models.