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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...

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...

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...

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...

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...

Classification of marine heatwaves in the South China Sea and their thermodynamic features

The frequency of marine heatwaves (MHWs) in the South China Sea (SCS) has increased recently. However, the relative roles of thermal and dynamic processes regulating the changes of SCS MHWs remain an...

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...

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...

Prediction of the onset of the South China Sea summer monsoon based on machine learning

Accurately predicting the onset of the South China Sea (SCS) summer monsoon (SCSSM) is crucial for agricultural planning and disaster prevention for countries surrounding the SCS. However, due to the...

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...

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...

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

Image, graphical abstract...

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...

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,...

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...

Prolonged seasons of compound heat–humidity extremes amplify vulnerable population exposure in eastern China

Compound heat–humidity extremes (CTHEs) pose escalating threats to human health, particularly for vulnerable populations (children and elderly) with limited physiological adaptability. This study reveals...

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...

Infrared brightness temperature–based indicators for identifying thunderstorm clouds: Insights from FY-4A satellite observations

Accurate monitoring and timely identification of early indicators of thunderstorms are of paramount importance in preventing and mitigating the potential disasters associated with such meteorological...

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...

Forecast errors of tropical cyclone track and intensity by the China Meteorological Administration from 2013 to 2022

This study presents a comprehensive evaluation of tropical cyclone (TC) forecast performance in the western North Pacific from 2013 to 2022, based on operational forecasts issued by the China Meteorological...

The strongest early-summer drought–flood abrupt alternation event over the Huang–Huai–Hai River Basin in 2024 since the 1980s: Perspective of anomalous subseasonal circulation evolution

Since the 21st century, the Huang–Huai–Hai River Basin (HHHRB) in China has experienced increased frequency and severity of drought–flood abrupt alternation (DFAA) events during early summer, characterized...

Combined LFS and ConvLSTM to forecast marine heatwaves: a case study

Marine heatwaves (MHWs) in the South China Sea (SCS) significantly impact marine ecosystems and socioeconomic development, yet accurately forecasting MHWs remains a challenge. This study developed an...

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...

A novel deep learning-based framework for five‐day regional weather forecasting

Deep learning-based methods have become alternatives to traditional numerical weather prediction systems, offering faster computation and the ability to utilize large historical datasets. However, the...

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