
Chunlüe ZhouSun Yat-sen University | SYSU · School of Geography and Planning
Chunlüe Zhou
Ph.D
Climate observation, modeling, attribution and risk management: Datasets; Extreme weather&climate; Wind climate&energy.
About
43
Publications
21,442
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,071
Citations
Introduction
Chunlüe Zhou, a climatologist, specializes in climate observation, modeling, attribution and risk management; climate change & variability; extreme weather & climate; wind climate & energy. He's leading a National High-level Young Talent project and several grants. He's invited as expert reviewer for 30+ journals and reports, e.g, IPCC AR6, cited as Outstanding Reviewer for AGU & AMS journals, and won key awards, e.g, Baosteel Award. He's also keen on community services, e.g, as Editor for ESSD.
Additional affiliations
Education
September 2013 - June 2018
Beijing Normal University
Field of study
- Atmospheric Science
September 2009 - June 2013
Publications
Publications (43)
Precipitation is expected to increase under global warming. However, large discrepancies in precipitation sensitivities to global warming among observations and models have been reported, partly owing to the large natural variability of precipitation, which accounts for over 90% of its total variance in China. Here, the authors first elucidated pre...
Daytime (08:00-20:00 Beijing Time) and nighttime (20:00-08:00) precipitation at approximately 2100 stations in China from 1979 to 2014 were used to evaluate eight current reanalyses. Daytime, nighttime and nighttime-daytime contrast of precipitation were examined in aspects of climatology, seasonal cycle, interannual variability, and trends. The re...
Introduction. From 30 June to 6 July 2016 Wuhan City, which has approximately ten million residents, received a record-breaking weekly rainfall of 574 mm, reaching a maximum of 1087.2 mm in the downtown areas. This intense rainfall resulted in a disastrous flood that killed 237 people, left 93 people missing, and caused at least $22 billion in dama...
This study develops an innovative approach to homogenize discontinuities in both mean and variance in global sub-daily radiosonde temperature data from 1958-2018. First, temperature natural variations and changes are estimated using reanalyses and removed from the radiosonde data to construct monthly and daily difference series. A Penalized Maximal...
The averaged near-surface air temperature (Ta) of July–August 2018 over Northeast China is ~1.73°C above the 1971–2000 mean, the highest since 1961. One-third of the stations in the region broke the historical record (Figs. 1a,b), which posed a great threat to local ecosystems and human health because this region has seldom experienced such extreme...
Instrumental measurements of wind speed and direction from the 1920s to the 1940s from 13 stations in Sweden have been rescued and digitized, making 165 additional station years of wind data available through the Swedish Meteorological and Hydrological Institute's open data portal. These stations measured wind through different versions of cup-type...
This study investigates the centennial-scale (i.e., since 1926) variability of observed near-surface wind speed across Sweden. Results show that wind speed underwent various phases of change during 1926–2019, i.e., (a) a clear slowdown during 1926–1960; (b) a stabilization from 1960 to 1990; (c) another clear slowdown during 1990–2003; (d) a slight...
Instrumental measurements of wind speed and direction from the 1920s to the 1940s from 13 stations in Sweden have been rescued and digitized, making 165 additional station years of wind data available through the Swedish Meteorological and Hydrological Institute’s open data portal. These stations measured wind through different versions of cup-type...
This study investigates the centennial-scale (i.e., since 1926) variability of observed near-surface wind speed across Sweden. Results show that wind speed underwent various phases of change during 1926–2019: (a) a clear slowdown during 1926–1960; (b) a stabilization from 1960 to 1990; (c) another clear slowdown during 1990–2003; (d) a slight recov...
Creating a century-long homogenized near-surface wind speed observation dataset is essential to improve our current knowledge about the uncertainty and causes of wind speed stilling and recovery. Here, we rescued paper-based records of wind speed measurements dating back to the 1920s at 13 stations in Sweden and established a four-step homogenizati...
Creating a century-long homogenized near-surface wind speed (WS) observation dataset is essential to improve our knowledge about the uncertainty and causes of current WS stilling and recovery. Here, we rescued paper-based WS records dating back to the 1920s at 13 stations in Sweden and established a four-step homogenization procedure to generate th...
The eastern U.S. experienced a cold air outbreak in November 2019 with regional-mean Tmin anomaly (-1.82℃) close to the 10th percentile of 1900-2019. Our analyses of observations and reanalysis show that extreme northerly winds (≤ -5.64 m·s-1) were a principle factor responsible for this cold outbreak. An analysis of CMIP6 model data further sugges...
The annual temperature cycle affects atmospheric circulation, biomass cycling, and human life. Its variation is influenced by surface solar radiation, which plays a key role in surface energy budgets. In this study, the Fourier transform method is used to analyse the spatial distribution and long‐term variations in temperature phase, amplitude, and...
During 11 to 28 July 2017, the Yangtze River Delta experienced a record-breaking heatwave. In particular, the Xujiahui weather station in Shanghai endured the worst heatwave in at least 145 years, with a new record of 40.9°C on 21 July 2017.
The extreme heatwave left four people dead and many elderly people and children suffering from heatstroke....
Reanalyses are widely used because they add value to routine observations by generating physically or dynamically consistent and spatiotemporally complete atmospheric fields. Existing studies include extensive discussions of the temporal suitability of reanalyses in studies of global change. This study adds to this existing work by investigating th...
Observations show that the surface incident solar radiation (Rs) decreased over land from the 1950s to the 1980s and increased thereafter, known as global dimming and brightening. This claim has been questioned due to the inhomogeneity and low spatial‐temporal coverage of Rs observations. Based on direct comparisons of ~200 observed and sunshine du...
Diurnal cycle of surface air temperature T is an important metric indicating the feedback of land–atmospheric interaction to global warming, whereas the ability of current reanalyses to reproduce its variation had not been assessed adequately. Here, we evaluate the daily maximum temperature Tmax, daily minimum temperature Tmin, and diurnal temperat...
The recent severe and frequent PM2.5 (i.e., fine particles smaller than 2.5 μm) pollution in China has aroused unprecedented public concern. The first two-years of PM2.5 measurements in China are reported and compared with those of Europe and the U.S. The average PM2.5 concentration in China is approximately five times of that over Europe and Ameri...
Reanalyses have been widely used because they add value to the routine observations by generating physically/dynamically consistent and spatiotemporally complete atmospheric fields. Existing studies have extensively discussed their temporal suitability in global change study. This study moves forward on their suitability for regional climate change...
This poster is about detection and attribution of extreme precipitation, especially focusing on attribution uncertainty for the use of CMIP5 models.
Land surface temperature Ts provides essential supplementary information to surface air temperature, the most widely used metric in global warming studies. A lack of reliable observational Ts data makes assessing model simulations difficult. Here, the authors first examined the simulated Ts of eight current reanalyses based on homogenized Ts data c...
The geographic and temporal variability of the surface–3600-m cloud frequency and cloud-base height over the contiguous United States for a 5-yr period (2008–12) and the interannual variations for a 16-yr period (2000–15) are described using information from the Automated Surface Observing System (ASOS) observations. Clouds were separated into four...
1) Scientists and the public become more interested in regional climate change they are and will experience. 2) Land surface temperature (Ts) is one of the most important indicator of regional climate change, due to its relation to regional energy feedback. 3) After the sun rises, the surface is heated by surface absorbed energy and meanwhile emits...
This study compared the diurnal and seasonal cycles of atmospheric and surface urban heat islands (UHIs) based on hourly air temperatures (Ta) collected at 65 out of 262 stations in Beijing and land surface temperature (Ts) derived from Moderate Resolution Imaging Spectroradiometer in the years 2013–2014. We found that the nighttime atmospheric and...
Precipitation is expected to increase under global warming. However, large discrepancies in precipitation sensitivities to global warming among observations and models have been reported, partly due to large natural variability of precipitation, which accounts for over 90% of its total variance in China. Here, we first elucidated precipitation sens...
Land surface air temperature (LSAT) has been widely used metric with which to study climate change. Weather observations of LSAT are the fundamental data for climate change studies and provide key evidence of global warming. However, there are very few meteorological observations over deserts due to their uninhabitable environment. This study fills...
Existing studies of the recent warming hiatus over land are primarily based on the average of daily minimum and maximum temperatures (T2). This study compared regional warming rates of mean temperature based on T2 and T24 calculated from hourly observations available from 1998 to 2013. Both T2 and T24 show that the warming hiatus over land is appar...
Most studies on global warming rely on global mean surface temperature, whose change is jointly determined by anthropogenic greenhouse gases (GHGs) and natural variability. This introduces a heated debate on whether there is a recent warming hiatus and what caused the hiatus. Here, we presented a novel method and applied it to a 5° × 5° grid of Nor...
Most studies on global warming rely on global mean surface temperature, whose change is jointly determined by anthropogenic greenhouse gases (GHGs) and natural variability. This introduces a heated debate on whether there is a recent warming hiatus and what caused the hiatus. Here, we presented a novel method and applied it to a 5° × 5° grid of Nor...
The true monthly mean temperature is defined as the integral of the continuous temperature measurements in a month (Td0), which is apparently different from the average (Td1) of the monthly averaged maximum (Tmax) and minimum (Tmin) temperatures. Unfortunately, Td1 instead of Td0 has been widely used as the monthly mean temperature, not only as an...
Surface air temperature Ta is largely determined by surface net radiation Rn and its partitioning into latent (LE) and sensible heat fluxes (H). Existing model evaluations by comparison of absolute flux values are of limited help because the evaluation results are a blending of inconsistent spatial scales, inaccurate model forcing data, and imperfe...
Surface air temperature (Ta) is largely determined by surface net radiation (Rn) and its partitioning into latent (LE) and sensible heat fluxes (H). Existing model evaluations by comparison of absolute flux values are little helpful because the evaluation results are a blending of inconsistent spatial scales, inaccurate model forcing data and inacc...
Knowledge of the evaporative fraction (EF, the ratio of latent heat flux to the sum of sensible and latent heat fluxes) and its controls is particularly important for the accurate estimates of water flux, heat exchange, and ecosystem response to climatic changes. In this study, the biological and environmental controls on monthly EF were evaluated...
Global analyses of surface mean air temperature (Tm) are key datasets for climate change studies and provide fundamental evidences for global warming. However, the causes of regional contrasts in the warming rate revealed by such datasets, i.e., enhanced warming rates over the northern high latitudes and the “warming hole” over the central U.S., ar...