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ISSN: 1674-2834
e-ISSN: 2376-6123

Compound extreme events and health risks in China: A review

Against the backdrop of global warming, China has been facing increasingly frequent and severe extreme weather and climate events, with a prominent risk of compound extreme events induced by interactions...

State of China’s climate in 2024

The year 2024 witnessed remarkable climatic anomalies across China, characterized by pronounced warm and wet conditions. The annual mean temperature soared to a record high since 1951, with seasonal...

A new approach for identifying dominant cloud types and relationships between cloud types and precipitation vertical structure in tropical regions

Cloud type profoundly affects precipitation, but few studies have explored its impact on precipitation scale height. The authors calculated the ratio of the volume of each cloud type to the total cloud...

State of China's climate in 2023

China witnessed a warm and dry climate in 2023. The annual surface air temperature reached a new high of 10.71°C, with the hottest autumn and the second hottest summer since 1961. Meanwhile, the annual...

The extreme windstorm of April 2025 in northern and central-eastern China: Historical ranking and synoptic origins

In mid-April 2025, northern and central-eastern China experienced a catastrophic compound disaster marked by Beaufort 8 or greater wind gusts affecting ∼3.5 × 106 km2, exposing ∼610 million residents...

Synoptic background conditions and moisture transport for producing the extreme heavy rainfall event in Valencia in 2024

From 26 October to 2 November 2024, Spain experienced a record-breaking rainfall event, with the most intense episode appearing in Valencia Province. During the event, Turis station recorded a historic...

Surface flux–induced salinity change and its effects on ocean stratification in response to global warming

Global warming induced by increased CO2 has caused marked changes in the ocean. Previous estimates of ocean salinity change in response to global warming have considerable ambiguity, largely attributable...

The ocean response to climate change guides both adaptation and mitigation efforts

The ocean's thermal inertia is a major contributor to irreversible ocean changes exceeding time scales that matter to human society. This fact is a challenge to societies as they prepare for the consequences...

An effective deep-learning prediction of Arctic sea-ice concentration based on the U-Net model

Current shipping, tourism, and resource development requirements call for more accurate predictions of the Arctic sea-ice concentration (SIC). However, due to the complex physical processes involved,...

U-Net: A deep-learning method for improving summer precipitation forecasts in China

A deep-learning method named U-Net was applied to improve the skill in forecasting summer (June–August) precipitation for at a one-month lead during the period 1981–2020 in China. The variables of geopotential...

CLKA-LPO: A CNN-LSTM-KAN neural network for lightning potential and flash rate prediction based on atmospheric physical parameters

Lightning poses significant risks to infrastructure and safety. Existing forecasting models depend on LPI data but often ignore the impact of atmospheric parameters on lightning. These methods are simple...

Mechanistic study of a downhill merging and enhancement of convection in Beijing

Numerical simulation of the merging of a thunderstorm cluster from the mountain area near Beijing and a thunderstorm over the adjacent plains on 23 August 2021, along with a diagnosis and analysis of...

Heat waves in summer 2022 and increasing concern regarding heat waves in general

Image, graphical abstract...

3D DBSCAN detection and parameter sensitivity of the 2022 Yangtze river summertime heatwave and drought

Spatially and temporally accurate event detection is a precondition for exploring the mechanisms of climate extremes. To achieve this, a classical unsupervised machine learning method, the DBSCAN (Density-Based...

More extreme-heat occurrences related to humidity in China

The co-occurrence of day and night compound heat extremes has attracted much attention because of the amplified socioeconomic and human health impacts. Based on ERA5 hourly reanalysis data, this study...

The evolving distribution of humidity conditional on temperature and implications for compound heat extremes across China in a warming world

The likelihood of extreme heat occurrence is continuously increasing with global warming. Under high temperatures, humidity may exacerbate the heat impact on humanity. As atmospheric humidity depends...

Simulated carbon cycle response to ocean iron fertilization and artificial ocean alkalinization

Ocean iron fertilization (OIF) and artificial ocean alkalinization (AOA) are two proposed ocean-based carbon dioxide removal methods to mitigate the effects of anthropogenic climate change. In this...

Perspectives and challenges on the interaction between tropical cyclone precipitation and the ocean: A review

Tropical cyclone–induced heavy precipitation (TCP) can have a detrimental impact on human productivity, causing significant economic losses and even human casualties in coastal countries every year....

Historical and future climate changes impact global solar photovoltaic power potential: Role of key meteorological variables

Renewable energy, especially solar power, is vital for mitigating global warming, while climate change also impacts solar photovoltaic potential (PVpot). This study analyzes historical (1985–2014) and...

Skillful bias correction of offshore near-surface wind field forecasting based on a multi-task machine learning model

Accurate short-term forecast of offshore wind fields is still challenging for numerical weather prediction models. Based on three years of 48-hour forecast data from the European Centre for Medium-Range...

Nowcasting of cloud-to-ground lightning location and frequency based on a deep learning technique

Predicting lightning that can cause power grid trips is significant for disaster prevention. This paper integrates cloud-to-ground lightning detection, water vapor and infrared channel as well as channel...

Deep learning in extracting tropical cyclone intensity and wind radius information from satellite infrared images—A review

Tropical cyclones (TCs) seriously endanger human life and the safety of property. Real-time monitoring of TCs has been one of the focal points in meteorological studies. With the development of space...

Attribution of regional Hadley circulation intensity changes in the Northern Hemisphere

The discrepancy in the trends of the global zonal mean (GZM) intensity of the Hadley circulation (HCI) between reanalysis data and model simulations has been a problem for understanding the changes...

Evaluation of the Pangu model in forecasting rapid intensification of tropical cyclones

To validate the Pangu model’s forecasting capability for the rapid intensification (RI) process of tropical cyclones (TCs), forecasts of different RI/non-RI TCs were produced both by the Weather Research...

Comparative study on the performance of ConvLSTM and ConvGRU in classification problems—taking early warning of short-duration heavy rainfall as an example

Convolutional long short-term memory (ConvLSTM) and convolutional gated recurrent unit (ConvGRU) are two widely adopted deep learning models that combine recurrent mechanisms with convolutional operations...

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