Donghuan Li

• PhD
• Chinese Academy of Sciences

This study conducted evaluation and analysis on various precipitation products over the eastern Tibetan Plateau (ETP), including four sets of satellite precipitation data (i.e., IMERG_Uncal, IMERG_Cal, GSMaP_MVK, GSMaP_Gauge) and one set of model reanalysis data (i.e., ERA5‐land, hereafter ERA5‐L). We evaluated the spatial‐temporal distribution of...

Cold extremes have large impacts on human society. Understanding the physical processes dominating the changes in cold extremes is crucial for a reliable projection of future climate change. The observed cold extremes have decreased during the last several decades, and this trend will continue under future global warming. Here, we quantitatively id...

China New Generation Weather Radar (CINRAD) operated in volume coverage pattern 21 (VCP21) mode may miss important information about precipitation for storms that evolving rapidly and moving fast due to its volume scanning interval (about 6 minutes). However, despite the rapid changes and fast movement of storms, according to the continuity equatio...

Radar quantitative precipitation estimation (QPE) plays an important role in precipitation forecasting and flood early warning. Due to the vertical variability of precipitation, accurate radar QPE remains an ongoing challenge as the radar observations at high altitudes are typically used to estimate surface precipitation. The common underestimation...

Accurate and refined nowcasting of short-term intense precipitation can be utilized to provide timely warnings, and mitigate the damage caused by hydrological and meteorological disasters. Radar echo extrapolation can provide highly efficient forecasts of precipitation with high spatial and temporal resolution during the first 3 hours and has been...

Cold extremes have large impacts on human society. Understanding the physical processes dominating the changes of cold extremes is crucial for a reliable projection of future climate change. The observed cold extremes have been decreased during last several decades and this trend will continue under the future global warming. Here, we quantitativel...

Reflectivity bias of ground‐based weather radar (GR) is a common error source that can lead to biases in quantitative precipitation estimation (QPE). In this study, the Dual‐frequency Precipitation Radar onboard the Global Precipitation Measurement Mission Core Observatory (GPM‐DPR) is used to correct GR reflectivity bias. The reflectivity bias cor...

Understanding the characteristics of the raindrop size distribution (DSD) is crucial to improve our knowledge of the microphysical processes of precipitation and to improve the accuracy of radar quantitative precipitation estimation (QPE). In this study, the spatial variability of DSD in different regions of Beijing and its influence on radar QPE a...

Using the disdrometer observation data, we examined the raindrop size distribution (DSD) characteristics of the extreme rainstorm event on July 20th, 2021 in Zhengzhou. The performance of several radar quantitative precipitation estimation (QPE) methods was then evaluated using polarimetric radar data. Results revealed that during the peak rain rat...

The latest generation of satellite precipitation estimates, Integrated Multi-satellitE Retrievals for Global Precipitation Measurement Version 06 (IMERG V06), calibrated by monthly rain gauge data, is applied to investigate the changing characteristics of precipitation in different phases (rain, snow, and sleet) over the Tibetan Plateau (TP) from 2...

The spatio-temporal distribution of geological hazards, including collapses, landslides, and debris flows, in Shaanxi province, China was studied based on data from 1951 to 2018. The potential impact factors, including the geomorphologic types, rivers, roads, rainfall, and earthquakes, were analyzed using Random Forests. The results indicated that...

It is important to develop the integrated flood and landslide modeling system driven by radar and satellite to predict these hazards to mitigate their damages. In this study, we investigated the utility of the C-band, one-polarization radar quantitative precipitation estimation (QPE) and the Global Satellite Mapping of Precipitation (GSMaP) satelli...

Soil erosion is one of the major threats to the environment and agriculture in the world and rainfall erosivity is the most active factor to lead changes in soil erosion. Here, we use statistically downscaled, bias-corrected Community Earth Syatem Model (CESM) low-warming simulations to investigate the future changes in rainfall erosivity in mainla...

One of the important application of polarimetric Doppler weather radar is quantitative precipitation evaluation (QPE). Polarimetric radar detects reflectivity (ZH), differential reflectivity (ZDR) and specific differential phase (Kdp), all of which are closely related to precipitation particles. Four commonly used QPE methods include ZH-based R(ZH)...

The accuracy of C-band radar quantitative precipitation estimation (QPE) is affected by many factors, including the following: (1) Calibration of radar observations, (2) interference from non-meteorological echoes, (3) vertical spatial variation of precipitation, (4) severe radar beam blockage by terrain or ground objects, (5) Z-R relationship, (6)...

Air pollution is a major issue in China and one of the largest threats to public health. We investigated future changes in atmospheric circulation patterns associated with haze events in the Beijing region and the severity of haze events during these circulation conditions from 2015 to 2049 under two different aerosol scenarios: a maximum technical...

Hydrological hazards usually occur after heavy precipitation, especially during strong convection. Therefore, accurately identifying convective precipitation is very helpful for hydrological warning and forecasting. However, separating the convective, bright band (BB), and stratiform precipitation is found challenging when the convection is adjacen...

An anomalous South Asian summer monsoon (SASM) system could generate a large anomaly in precipitation and hydrological disasters in the SASM-prevailing area, as widely reported for the Indian Peninsula. However, how the SASM system influences the precipitation anomaly over the South-Central Tibetan Plateau (SCTP) is largely unknown. In this study,...

Air pollution is a major issue in China and one of the largest threats to public health. We investigated future changes in atmospheric circulation patterns associated with haze events in the Beijing region, and the severity of haze events during these circulation conditions, from 2016 to 2049 under two different aerosol scenarios: a maximum technic...

The ground-based radar quantitative precipitation estimation (QPE) faces various challenges including the overestimation caused by the bright band (BB) in the stratiform region and the underestimation in mountainous areas when the terrain-enhanced precipitation occurs at the levels below ground-based radar measurements. The vertical precipitation s...

Particle size distribution (PSD) characteristics of mature squall lines are investigated through global precipitation measurement (GPM) dual-frequency precipitation radar (DPR) measurements. These squall lines consist of a leading convective (LC) line, a weak-echo transition (WT) region and a trailing stratiform (TS) region. Their PSD characteristi...

Highly populated East Asia is vulnerable to extreme precipitation. Here, we use Community Earth System Model low-warming simulations to examine how extreme precipitation events may change in East Asia under the Paris Agreement global warming targets. The frequency and intensity of extreme precipitation will increase markedly over East Asia in the w...

With anthropogenic global warming, heat‐related extreme events are projected to increase in severity and frequency. Already vulnerable regions like Africa will be hard‐hit. Therefore, such regions could benefit from low global warming levels. Using the Community Earth System Model low warming simulations, we investigate changes in temperature extre...

This study compared statistical downscaling model (SD) and dynamical downscaling model (DD) for changes in extreme temperature and precipitation indices, driven by the same global climate model output, in the 1.5 and 2 °C warmer climates in China. Simple bias correction (BC) methods were used to correct the climatology of temperature and precipitat...

Anthropogenic forcing is anticipated to increase the magnitude and frequency of extreme events¹, the impacts of which will be particularly hard-felt in already vulnerable locations such as Africa². However, projected changes in African climate extremes remain little explored, particularly in the context of the Paris Agreement targets3,4. Here, usin...

Extreme heat (EH) over North China (NC) is affected by both large scale circulations and local topography, and could be categorized into foehn favorable and no-foehn types. In this study, the performance of a regional coupled model in simulating EH over NC was examined. The effects of regional air–sea coupling were also investigated by comparing th...

Extreme high-temperature events have large socioeconomic and human health impacts. East Asia is a populous region, and it is crucial to assess the changes in extreme high-temperature events in this region under different climate change scenarios. The Community Earth System Model low-warming experiment data were applied to investigate the changes in...

The regional climate model (version 3, RegCM3) with a horizontal resolution of 50 km was employed to downscale the historical climate change and projected its future scenario over CORDEX (COordinated Regional Downscaling Experiment) East Asian domain. Model RegCM3 was nested within the global climate system model FGOALS-g2. The simulation of summer...