Researchers develop relative dispersion parameterizations to accurately describe hydrometeor spectra in convective clouds, improving atmospheric radiation transfer and water cycle models. The study finds negative correlations between ice crystal spectra and volume-mean diameter, and positive correlations for other hydrometeors.
A fresh analysis suggests that the global cooling effect of the Hunga Tonga-Hunga Ha'apai volcano eruption will be smaller than expected. However, the researchers warn that a one-time-only event may not be sufficient to overwhelm the longer-term global warming tendency.
Climate change, elevated CO2 concentrations, and increasing nitrogen fixation are projected to reduce the Belt and Road region's net ecosystem production trend by ~40% from 2031-2100. Net primary production may increase in response to rising CO2, but soil respiration is expected to rise more, leading to a decrease in carbon sequestration.
Regions such as the southwestern US, Amazon and Mediterranean will experience intensified drought from 1901 to 2100. Hydrological and agricultural droughts are expected to intensify more than precipitation drought due to increasing climatic water demand deficit.
A new study found that geoengineering would reduce atmospheric CO2 levels and enhance terrestrial biosphere's net CO2 uptake. However, its effects on the ocean carbon cycle are smaller, with only a slight attenuation of ocean surface acidity and primary production.
Researchers revealed key sources of uncertainty in projecting the South Asian summer monsoon's circulation under global warming, attributing it to tropospheric meridional thermal contrast. A novel diagnostic method identified atmospheric dynamics, cloud radiation effects as dominant contributors to uncertainty.
Researchers found that vehicular emissions are a significant source of ammonia in urban air during winter mornings, contributing to toxic pollution. The study used nitrogen isotopes to track the origin of ammonia and attributed 40% of morning concentrations to vehicle emissions.
The NUIST-CFS1.0 model has positive skill in seasonal precipitation forecasts across Ethiopia, Kenya, Uganda, and Tanzania, with relatively accurate products throughout the rest of East Africa.
A new compression algorithm using deep learning enables accurate modeling of light scattering by non-spherical particles. The developed method reduces the file size to 20MB, making it 7000 times smaller than the original database.
A review of over 500 studies on urban climate and weather reveals significant gaps in current understanding and modeling. The researchers emphasize the need for better observation-model integration, improved communication between scientists and end users, and standardized meteorological stations.
Achieving China's carbon neutral goal requires a rapid transition to renewable energy, nuclear generation, and a decrease in fossil fuel use. Implementing non-fossil fuel energy sources is crucial, with solar energy playing a critical role due to its decreasing costs and technology advancements.
Increased aridity since the 1950s is evident across several hotspot regions, including Africa, southern Europe, East Asia, and Australia. Climate model projections suggest worsening drought conditions and longer-lasting drought events in the late 21st century.
The study reveals that the Tropical easterly jet significantly modulates tropical cyclone genesis over the western North Pacific. The intensified WP_TEJ results in strong northerly winds, inducing large-scale divergence and upward motion that favors deep convection and TC formation.
A new überreview provides a comprehensive introduction to solar resource assessment and forecasting, helping bridge the gap between atmospheric scientists and solar engineers. The review compiles recent studies on critical parameters like cloud and aerosol, aiming to facilitate interdisciplinary collaboration for carbon neutrality.
The study found that black carbon decreased significantly in Beijing since the implementation of the Clean Air Action Plan, with a 71% reduction over nine years. However, this decrease was not accompanied by an equivalent decrease in aerosol extinction coefficient, leading to mixed effects on optical properties.
Researchers identify significant gaps in knowledge about climate impacts on tropical cyclones, including the dynamics of storm formation and track changes. To address these limitations, they recommend extending historical datasets and improving understanding of natural variability to inform adaptive strategies.
Air pollution prediction models in China require consideration of rapid human activity changes and decadal climatic factors. Developing accurate seasonal to interannual predictions is crucial for government planning and air quality control.
A new study suggests that environmental factors like nitric oxide from lightning and seawater may play a role in the emergence of COVID-19 variants. The researchers propose that these environmental factors could promote the possibility of viral mutations, rather than causing them directly.
Researchers used aircraft data and Ka-band radar to analyze microphysical properties of cumulus clouds. High liquid-water-content regions showed little variation in cloud droplet concentration, while strong updrafts increased particle sizes.
The upper ocean has reached record-breaking temperatures for the sixth consecutive year, with the latest data showing a significant increase in heat content. This warming trend is primarily driven by human-induced climate change, which affects ocean acidification and marine life.
Research reveals that the 2020 Yangtze River flooding was caused by an unusual anticyclone and frequent latitudinal swings of the Meiyu front. The study aims to improve forecasting skill before and during monsoon season.
A new study reveals that natural decadal variability related to the Pacific Ocean played a significant role in modulating the Pacific Walker circulation change. The research found that the Interdecadal Pacific Oscillation (IPO) could explain 63% of the observed strengthening trend in the Walker circulation between 1980-2015.
A record-breaking summer of flooding in eastern Asia prompted an international team to research and submit findings on the event to a special journal issue. The studies highlighted unusual behavior of an anti-cyclone and its connection to the Indian Ocean's warming, leading to persistent extreme rainfall.
A new study reveals that compound hot extremes, where days and nights are simultaneously extreme, pose significant health risks, especially for female and older residents. Urban compound hot extremes have increased by 1.76 days per decade in eastern China, driven by anthropogenic emissions and urbanization.
A recent study reveals that tropospheric temperature affects tropical cyclone peak intensities in distinct ways across different basins. In the North Atlantic, significant cooling of the tropopause strengthens peak intensity, while warming in the lower troposphere is associated with strong eastern Pacific TCs.
A recent survey reveals a new method using cloud-cleared radiances improves forecasting of high-impact weather events like hurricanes and typhoons. The technique is now being applied to numerical models for enhanced daily forecasts.
A new high-resolution climate system model has improved the accuracy of simulating tropical cyclones, capturing more realistic features and reducing biases. The model's performance was evaluated using the CAS FGOALS-f3-H model, which showed excellent results in depicting global TC activities.
A study published in Advances in Atmospheric Sciences reviews research on sea-air interactions, revealing a complex relationship between ocean currents and atmospheric circulation. The review suggests that eddies and fronts can drive changes to both weather and climate, but more investigation is needed to fully understand their impact.
Volcanic eruptions impact monsoon rainfall differently globally, dominated by pre-eruption ENSO phases according to a study. Regional responses are varied and can be explained by the underlying mechanism of SST anomalies triggered by volcanic eruptions.
Heavy precipitation affected a significant portion of China, with the Yangtze River basin experiencing extreme flooding and multi-day rain events. The study found that the East Asian Summer Monsoon front played a dominant role in bringing persistent precipitation to the region.
Research by Prof. Lifang Sheng and team reveals the northward movement of Intertropical Convergence Zone (ITCZ) causes heavy autumn rainfall in the northern South China Sea. The ITCZ's shift north is triggered by abnormal equatorial easterlies, which strengthen during La Niña years.
A study found wind farms have a significant effect on local climatology but a minimal impact on regional climate. The Shangyi Wind Farm in China warmed the area by up to 0.95°C at night during summer and autumn, while decreasing wind speed by 6%.
Scientists linked a record-breaking Arctic 'ozone hole' to unusually warm North Pacific sea surface temperatures. Weakened planetary wave activity and extreme cold led to severe ozone loss, suggesting present-day ozone-depleting substances still pose a threat.
The new Fengyun-3E satellite provides 100% global data coverage, with 11 instruments on board to observe cloud, radiation, and more. China joins Europe and the US in sharing a global responsibility for early morning orbit observations.
Researchers investigated the effects of atmosphere, sea ice, and ocean on August 2018 polynya formation. Thinnest sea ice cover and southerly wind played a crucial role in its development.
Scientists compiled a 71-year potential risk index dataset to estimate TC impact severity on the Chinese mainland, showing increased damage over time. Recent upward trends in precipitation and wind values contribute to larger TC impacts along coastal China.
The Three Gorges Region experienced its second-highest average precipitation on record, with heavy rainstorms and floods dominating the summer of 2020. The region's ecological environment improved, with a significant weakening trend in acid rain over the past decade.
The World Climate Research Programme has made efforts to improve climate prediction, but many problems remain, including predicting extreme weather events. The Center for Climate System Prediction Research (CCSP) aims to tackle these challenges through research on ENSO, extended-range weather forecasting, and interannual-to-decadal cli...
A new study using convection-permitting models reveals improved simulations of precipitation and atmospheric circulation over the Tibetan Plateau. The models reduce the wet bias in simulated precipitation by 47% and improve the simulation of large-scale circulation, leading to better moisture transport into and out of the plateau.
Researchers from the Institute of Atmospheric Physics found that tropical Pacific decadal variability and Atlantic multidecadal variability drive Central Asian precipitation changes. Warmer SSTs in these regions favor wetter conditions, especially in southern and northern parts of Central Asia.
Researchers found extreme precipitation events are the primary contributor to total precipitation in Northwest China. The region's westerly and plateau zones have seen a significant increase in EPE frequency and occurrence, starting earlier and lasting later. In contrast, monsoon regions of Southeast China experience opposite trends.
A new instrument measures atmospheric ammonia with high sensitivity and fast response, allowing for accurate quantification of NH3 emissions from agricultural ecosystems. The open-path design overcomes challenges faced by close-path instruments, enabling long-term and automated measurements.
Researchers studied record-breaking cold air outbreaks in China and North America, finding links to sudden stratospheric warming, polar vortex shifts, and anomalous ocean temperatures. The study suggests that global warming and ocean changes may drive extreme weather events, highlighting the need for further research.
Researchers found that high-impact weather events can be extreme, especially in context of human activities. Detailed hypothermia risk forecasts were not available for the race site, contributing to tragedy. The study highlights the need for improved warning systems and collaborations among scientists, governments, social media, and ci...
Researchers developed an AI method called CU-net to improve weather forecast accuracy by learning from uncertainty. The model corrected four weather variables and showed improved performance using 10-year data, promising innovative diagnostics for climate variability.
A Chinese satellite has reported a global carbon net of six gigatons, indicating an increase in carbon emissions that contributes to climate change. The TanSat satellite's data will be used to independently verify national emission inventories and help ensure transparency across the globe.
The Fengyun Meteorological Satellite program offers over 30 years of free data to support global research on extreme weather events and atmospheric changes. International collaborations are growing as the data capabilities expand.
A new study published in the Journal of Climate found that about 23% of uncertainty in WNPAC projection is attributed to El Nino amplitude change, while 77% comes from non-amplitude change related to El Nino decaying pace. The research highlights the importance of considering other El Nino characteristics in climate system projections.
Researchers attribute the record-breaking meiyu rainfall in the Yangtze River basin to an anomalous western North Pacific subtropical high pressure system. This pressure system's change and associated air-sea interactions were found to be independent of ENSO, providing accurate forecasts despite neutral ENSO conditions.
The use of additional Metop-C and Fengyun-3 C/D data has been shown to improve regional weather forecasts by filling existing data gaps. By incorporating more PMW satellite radiances, scientists can enhance the quality of forecast models, leading to better short-range predictions.