A new study reports the highest ocean temperatures since 1955, with the upper 2,000 meters absorbing 20 more Zettajoules than in 2019. The researchers warn of severe consequences for ocean ecosystems and human societies, including increased extreme weather events and wildfires.
Research reveals a strong relationship between anthropogenic heat flux and extreme temperature events, including both heat and cold extremes. The study, conducted in Beijing, China, uses advanced modeling techniques to analyze the impact of urbanization on temperature records.
Researchers found the error source of a sea-ice model varies with the season, leading to discrepancies between simulations and observations in both cold and warm seasons. The study suggests using an ensemble approach to consider seasonal variations in model errors, improving future simulation and prediction of Arctic sea ice.
An international research team proposes a 'glocal' approach to better predict and prevent flooding disasters by combining global forecasting with local observations. The proposed system, GHS-F, aims to provide highly detailed and consistent rain-flood information, which could help avoid some flooding damage.
A new TanSat XCO2 global product has been introduced to support estimation of anthropogenic CO2 emissions in cities. The updated dataset shows improved accuracy, reducing the dispersion between retrieval methods to 1.28 ppmv, with a -0.35 ppmv overall bias.
Scientists developed a new land surface model incorporating multiple processes and human activities to improve water-energy simulations and environmental protection. The CAS-LSM model can evaluate ecohydrological effects of stream water transfer and provide advice for urban planning.
The WRF4-LICOM model shows improved summer mean monsoon rainfall, circulations, and sea surface heat fluxes. Regional air-sea coupling enhances the simulated daily SST-rainfall relationship, offering a more accurate representation of the western North Pacific summer monsoon.
The METRIC model was used to simulate and evaluate surface evapotranspiration in Nepal, showing good applicability and accuracy. The study found an inverse relation between elevation and ET, highlighting its potential for irrigation management and soil moisture assessment in the country's mountainous regions.
The CMIP6 models reproduce spatial distributions of temperature extremes better than CMIP5 models. However, they struggle to capture warm days and cold nights, especially over the Tibetan Plateau. Advanced CMIP6 models show no significant differences from their CMIP5 counterparts for some models.
Future emissions of greenhouse gases and aerosols will shift the North Atlantic's role in global ocean heat uptake, making it the main region of OHU by 2100. This is due to projected decline in anthropogenic aerosols, weakening the AMOC and diverging meridional ocean heat transport.
Researchers establish objective standards for defining and identifying binary tropical cyclones (BTCs), which can bring extreme precipitation and cause serious disasters. The study analyzed two best-track datasets and provides a main standard for defining BTCs, based on separation distance and coexistence time.
Researchers found that particulate matter (PM2.5) is overestimated in winter and ozone (O3) is underestimated in urban areas compared to suburban areas across all of China. This highlights the need for more data outside urban areas to accurately assess air pollution impacts on ecosystem functions.
Researchers improve simulated precipitation over the Tibetan Plateau using convection-permitting models. These models better depict precipitation frequency and intensity, reducing the wet bias in traditional climate models. Higher resolution and more accurate parameterizations lead to improved simulations.
Researchers incorporated nitrogen cycle into AVIM model, simulating gross primary production and net primary production well. However, discrepancies remain in carbon and nitrogen fluxes between datasets and the model.
Researchers found a seesaw pattern between Indian and western North Pacific summer monsoons, influenced by the tropical Atlantic Ocean's sea surface temperature. The study reveals increasing influences from the tropical Atlantic SST may lead to changes in monsoon variability.
An international team of researchers estimated China's carbon mitigation efforts, revealing the country reabsorbs 45% of its annual human-made CO2 emissions through forest growth. The study used newly available data and independent satellite measurements to corroborate findings.
A record-breaking spring temperature event occurred in eastern China in 2018, with over 900 stations reaching their highest spring mean temperature on record. The analysis suggests that both human-induced global warming and anomalous circulation increased the chance of this extreme high-temperature event.
A severe drought in East China from August to October 2019 was exacerbated by warm central equatorial Pacific sea surface temperatures and global warming. The study suggests that while natural climate variability played a role, human-induced climate change amplified the droughts likelihood.
A new land surface model CAS-LSM was developed to assess impacts of climate change and anthropogenic disturbances on global river temperature and nitrogen transport. The model found increased river temperatures in tropical zones due to climate change, with power plants warming local rivers by up to 60% in Asia.
Researchers from Nanjing University of Information Science & Technology evaluate subseasonal prediction skill for heatwaves in Yangtze River basin using long-term hindcast data from three operational models. They found that superior model fidelity is crucial to predicting heatwave occurrence, intensity and duration at longer lead times.
The global ocean has become more stratified due to global warming, reducing nutrients and oxygen. This increase in stratification affects climate, ecosystems, and the ocean's ability to store carbon, exacerbating global warming.
Researchers tracked precursors near the tropopause to predict persistent heavy rainfall in South China, finding anomalies in Arctic and tropical regions. The study revealed a special configuration of synoptic systems that leads to persistent heavy rainfall, providing new insights for regional prediction.
Researchers found that true forecast track error increases exponentially with lead time, implying dynamics of TC motions are linear and model-induced errors in TC position forecasts are minimal. The team's 4-parameter error model indicates potential extension of predictability limit beyond 6/8 days in 10/30 years' time.
Research in East Asia reveals that short-term cloud feedback is mainly driven by decreases in mid- and low-cloud fraction, resulting from changes in atmospheric thermodynamics. The study provides a reference for narrowing inter-model uncertainties in long-term cloud feedbacks.
A new study has found substantial amplification of the global water cycle, with increased evaporation and precipitation rates, due to changes in ocean salinity. This change is largely driven by human influence and has significant implications for future climate, including more extreme weather events and droughts.
A new version of China's climate system model shows significant improvements in simulating ocean and sea ice trends. The model outperforms previous versions in terms of climate element representation, including long-term trends and climatological patterns.
Researchers developed a balloon-based system to study stratospheric radiation over the Tibetan Plateau, providing in situ measurements for the first time. The data helps understand radiation variations and thermal conditions associated with clouds and aerosols during the Asian summer monsoon period.
The study evaluates the performance of FY-3D's instruments, showing improved data quality and reduced forecast errors by 0.1% on average. The assimilation of FY-3D microwave observations enhances global weather forecasting, climate prediction, and resilience to extreme weather events.
Research finds global land monsoon summer precipitation increased by 2.54% and 5.75% in lowest and highest emission scenarios respectively, driven by thermodynamic responses to increased moisture. Model spread in projection was larger for higher emission scenarios, emphasizing importance of circulation change prediction.
A new calibration-free version of a physical-based method can better detect long-term trends in continental-scale land evaporation rates than recent remote sensing-based approaches. This improvement is crucial for upgrading general circulation models' existing evaporation estimation algorithms to produce better climatic predictions.
A new model developed by researchers can predict tropical cyclones with improved accuracy, up to 10-30 days in advance. The model analyzes nearly a quarter of the Earth's surface and atmosphere, accounting for key factors such as warm sea surface temperatures and wind shears.
Scientists analyzed atmospheric and oceanic factors behind the 2017/18 La Niña event's cooling. Wind stress and subsurface cold water played significant roles in the event's second-year cooling, with differences observed from previous events.
Researchers from the Institute of Atmospheric Physics, Chinese Academy of Sciences, analyzed Typhoon Haikui (2012) using a multigrid NLS-4DVar method to improve radar data assimilation. This method significantly enhanced the accuracy of 12-h track and accumulated precipitation forecasts.
The study assesses the simulation performance for global precipitation and summer hemispheric precipitation using CMIP6 datasets. The GMMIP simulation significantly exceeds the historical experiment, especially in terms of fidelity to different timescales.
Climate shift, forest loss and fires have led to the expansion of Amazon fires beyond flammable savannas to moist tropical forests. The fire season was initialized earlier than two decades ago due to extreme climate events making the forest more vulnerable.
A recent study from the Institute of Atmospheric Physics found that lightning activity and charge structure varied before and after a severe hailfall. The research suggests that lightning data can serve as an indicator for hazardous weather phenomena and improve short-term forecasting.
A recent study by the Institute of Atmospheric Physics found that Beijing's air quality did not improve as expected during the COVID-19 lockdown, with secondary aerosol species showing only small changes. The research highlights a challenge for mitigating secondary air pollution in regions with high concentrations of gaseous precursors.
By extending available data, researchers developed a method to estimate mass concentrations of particulate matter from humidity and visibility measurements. This approach has the potential to provide broader understanding of how particulate matter evolves and improve visibility in daily life.
Researchers found that extreme rainfall events from STCs can occur over inland areas far from coastlines due to amplification of local terrain and large-scale forcing. The study suggests further investigation into asymmetrical distribution of STP, differences between STP and landfalling precipitation, and comparisons with other datasets.
A recent study found that an anomalous anticyclone over Northeast Asia contributed nearly half to the magnitude of extreme heat events in 2018. The researchers also discovered that such anomalies have become more common and severe in recent decades.
Researchers used in situ observations and simulations to understand the composition and sources of aerosols in the Asian Tropopause Aerosol Layer (ATAL). They found that part of the aerosols were transported from the Earth surface and upper troposphere, influencing the ATAL's formation.
A 50-year drying period in north central India reversed after 1999. Natural variability, including the Interdecadal Pacific Oscillation (IPO), contributed to changes in rainfall. The study supports robust handling of IPO in climate models for accurate projections.
Ozone pollution in China's most populated and industrialized city clusters poses a great challenge due to diverse precursors. Long-term research is necessary to accurately determine main sources of ozone and inform effective control strategies.
Recent research suggests that nitrogen in permafrost soils could be a major contributor to climate change, with potentially significant consequences. Scientists are studying the decomposition of organic matter and its impact on nitrogen availability, which could lead to high N2O emissions.
China experienced a warm year in 2019, with mean temperature 0.79°C above normal and annual rainfall 2.5% above normal. Disaster risks were reduced, leading to less economic loss and fewer fatalities.
New research from the Institute of Atmospheric Physics suggests a future intensification of the WNPSH under RCP 8.5, leading to stronger East Asian summer monsoon and increased rainfall but reduced typhoon landfalls over East Asia. However, this may also imply increased risk of heatwaves in southern and eastern China.
A new study found that the rainy season in Northern Central Asia will shift from May-July to March-May by the end of the 21st century. This change is attributed to increased precipitation, with a projected 14.41% rise under the highest emission scenario.
Researchers warn that a violent Philippine volcanic eruption could lead to an El Niño event, intense polar vortex, and Eurasian warming. The Taal volcano's ongoing eruption has the potential to produce hazardous consequences for the Earth's climate.
Human activity significantly disrupts the natural balance of nitrogen, posing a threat to terrestrial and aquatic life. The special issue examines the cascading consequences of rising nitrogen levels in circulation.
A recent study assesses fire aerosol impacts on global ecosystem productivity, finding cooling and drying effects on land surfaces. Fire aerosols decreased gross primary productivity in most vegetated areas, with some exceptions like the Amazon region.