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

Impacts of lateral boundary conditions from numerical models and data-driven networks on convective-scale ensemble forecasts

The impacts of lateral boundary conditions (LBCs) provided by numerical models and data-driven networks on convective-scale ensemble forecasts are investigated in this study. Four experiments are conducted...

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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...

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Statistical seasonal forecasting of tropical cyclone landfalls on Taiwan Island

Forecasting tropical cyclone (TC) activities has been a topic of great interest and research. Taiwan Island (TW) is one of the key regions that is highly exposed to TCs originated from the western North...

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Progress and future prospects of decadal prediction and data assimilation: A review

Decadal prediction, also known as “near-term climate prediction”, aims to forecast climate changes in the next 1–10 years and is a new focus in the fields of climate prediction and climate change research....

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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...

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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....

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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...

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Arctic sea-ice extent: No record minimum in 2023 or recent years

Arctic sea-ice extent reaches its minimum each year in September. On 11 September 2023 the minimum was 4.969 million square kilometers (mill.km2). This was not a record low, which occurred in 2012,...

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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...

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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...

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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...

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Role of the Greenland Sea ice anomaly in the late-spring drought over Northwest China

Drought across Northwest China in late spring has exerted a vital effect on the local climate and agricultural production, and has been alleviated during the past decades. This study explored the influence...

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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...

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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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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...

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State of China's climate in 2022

China experienced a warm and dry climate in 2022. The average annual surface air temperature (SAT) was 10.51°C, which was the second highest since 1961. The annual average rainfall was 606.1 mm, which...

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

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Westward shift of western North Pacific tropical cyclones in CMIP6-HighResMIP models

Against the backdrop of climate change, the activity of tropical cyclones (TCs) has captured widespread attention. Observational datasets indicate a declining trend in the genesis longitude of western...

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Climatic drivers of the Canadian wildfire episode in 2023

Extreme wildfires broke out in Canada from May 2023 and persisted four months. Tremendous fire emissions posed significant impacts on the air quality in both local and downwind regions. Here, the authors...

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Assessment of global meteorological, hydrological and agricultural drought under future warming based on CMIP6

Quantifying the changes and propagation of drought is of great importance for regional eco-environmental safety and water-related disaster management under global warming. In this study, phase 6 of...

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Prediction of ENSO using multivariable deep learning

A novel multivariable prediction system based on a deep learning (DL) algorithm, i.e., the residual neural network and pure observations, was developed to improve the prediction of the El Niño–Southern...

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A regional ocean–atmosphere coupled model using CMA-TRAMS and LICOM: Preliminary results for tropical cyclone gale prediction over the northern South China Sea

This paper provides a comparative analysis of the performance of a high-resolution regional ocean–atmosphere coupled model in predicting tropical cyclone (TC) gales over the northern South China Sea....

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Enhanced atmospheric phosphorus deposition in Asia and Europe in the past two decades

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Predicting climate anomalies: A real challenge

In recent decades, the damage and economic losses caused by climate change and extreme climate events have been increasing rapidly. Although scientists all over the world have made great efforts to...

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Variation in the permafrost active layer over the Tibetan Plateau during 1980–2020

The active layer, acting as an intermediary of water and heat exchange between permafrost and atmosphere, greatly influences biogeochemical cycles in permafrost areas and is notably sensitive to climate...

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