Articles | Volume 18, issue 11
https://doi.org/10.5194/acp-18-8113-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-8113-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jun 2018
Research article |
| 08 Jun 2018
| 08 Jun 2018
On the suitability of current atmospheric reanalyses for regional warming studies over China
Chunlüe Zhou
College of Global Change and Earth System Science, Beijing Normal
University, Beijing, 100875, China
College of Global Change and Earth System Science, Beijing Normal
University, Beijing, 100875, China
College of Global Change and Earth System Science, Beijing Normal
University, Beijing, 100875, China
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- Stilling and Recovery of the Surface Wind Speed Based on Observation, Reanalysis, and Geostrophic Wind Theory over China from 1960 to 2017 Z. Zhang & K. Wang https://doi.org/10.1175/JCLI-D-19-0281.1
- Correction of Inhomogeneities in Observed Land Surface Temperatures over China J. Du et al. https://doi.org/10.1175/JCLI-D-19-0521.1
- Investigating bi-decadal precipitation changes over the Northwest Himalayas during the pre-monsoon: role of Pacific decadal oscillations D. Aggarwal et al. https://doi.org/10.1007/s00382-023-06969-3
- Links Between the Large‐Scale Circulation and Daily Air Quality Over Central Eastern China During Winter W. Ge et al. https://doi.org/10.1029/2018JD030154
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38 citations as recorded by crossref.
- Solar-wind resource characteristics and optimal capacity allocation across China: insights from observations and reanalyses X. Song & Y. He https://doi.org/10.1088/1748-9326/ae9e4d
- An integrated and homogenized global surface solar radiation dataset and its reconstruction based on a convolutional neural network approach B. Jiao et al. https://doi.org/10.5194/essd-15-4519-2023
- The Trends of Warm‐Season Thunderstorm and Lightning Days in China and the Influence of Environmental Factors X. Xue et al. https://doi.org/10.1029/2021JD034950
- Intercomparing atmospheric reanalysis products for hydrodynamic and wave modeling of extreme events during the open-water Arctic season F. Cassalho et al. https://doi.org/10.1080/15230430.2022.2059957
- A Method for Building the Grid-Based Atmospheric Weighted Mean Temperature Model Considering the Hourly NSTLR L. Duan et al. https://doi.org/10.3390/atmos16121387
- Comparison of Surface Air Temperature between Observation and Reanalysis Data over Eastern China for the Last 100 Years S. ZHANG et al. https://doi.org/10.2151/jmsj.2019-004
- On the suitability of ERA5 in hourly GPS precipitable water vapor retrieval over China W. Zhang et al. https://doi.org/10.1007/s00190-019-01290-6
- Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications J. Wei et al. https://doi.org/10.1016/j.rse.2020.112136
- Homogenized daily sunshine duration over China from 1961 to 2022 Y. He et al. https://doi.org/10.5194/essd-17-1595-2025
- Trends and Abrupt Shifts in Mean Temperature over North-East India: Insights from Gridded Datasets R. Gautam et al. https://doi.org/10.1007/s41742-025-00816-5
- Anthropogenic aerosols dominated the decreased solar radiation in eastern China over the last five decades Z. Tang et al. https://doi.org/10.1016/j.jclepro.2022.135150
- Comprehensive evaluation of surface air temperature reanalysis over China against urbanization-bias-adjusted observations S. Zhang et al. https://doi.org/10.1016/j.accre.2021.09.010
- Spatial-temporal characteristics of tornadoes in China based on observational data of meteorological stations X. Xue et al. https://doi.org/10.3354/cr01725
- Assessing potential of sparse‐input reanalyses for centennial‐scale land surface air temperature homogenisation I. Gillespie et al. https://doi.org/10.1002/joc.6898
- A Comprehensive Comparison of Seven Surface Air Temperature Reanalysis Products over Mainland China from Multiple Spatiotemporal and Geographical Perspectives S. Yan et al. https://doi.org/10.3390/rs18162752
- Using phase lags to evaluate model biases in simulating the diurnal cycle of evapotranspiration: a case study in Luxembourg M. Renner et al. https://doi.org/10.5194/hess-23-515-2019
- Evaluation and refinement of ERA5-land 2 m atmospheric temperature in GNSS precipitable water vapor C. Yue et al. https://doi.org/10.1016/j.asr.2024.07.043
- How Well Does the ERA5 Reanalysis Capture the Extreme Climate Events Over China? Part II: Extreme Temperature W. Xu et al. https://doi.org/10.3389/fenvs.2022.921659
- High-resolution estimation of PM2.5 concentrations across China using multiple machine learning approaches and model fusion L. Meng et al. https://doi.org/10.1016/j.apr.2024.102110
- Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability Z. Wang et al. https://doi.org/10.1016/j.isprsjprs.2022.03.002
- Augmentation Method for Weighted Mean Temperature and Precipitable Water Vapor Based on the Refined Air Temperature at 2 m above the Surface of Land from ERA5 C. Yue et al. https://doi.org/10.3390/rs16122055
- 中国均一化网格气候数据集 开. 王 et al. https://doi.org/10.1360/SSTe-2025-0190
- Surface temperature response to the major volcanic eruptions in multiple reanalysis data sets M. Fujiwara et al. https://doi.org/10.5194/acp-20-345-2020
- Contrast patterns and trends of lapse rates calculated from near-surface air and land surface temperatures in China from 1961 to 2014 Y. He & K. Wang https://doi.org/10.1016/j.scib.2020.04.001
- Temperature annual cycle variations and responses to surface solar radiation in China between 1960 and 2016 R. Zhao et al. https://doi.org/10.1002/joc.6895
- Creating 1-km long-term (1980–2014) daily average air temperatures over the Tibetan Plateau by integrating eight types of reanalysis and land data assimilation products downscaled with MODIS-estimated temperature lapse rates based on machine learning H. Zhang et al. https://doi.org/10.1016/j.jag.2021.102295
- Improving Forest Carbon Sink Accounting Using Integrated Satellite-Ground Observations, Machine Learning, and Ecological Process Modeling X. Hong et al. https://doi.org/10.1021/acs.est.6c03931
- Outstanding performance of ERA5 reanalysis temperature in China since the 1950s and quantification of its abnormal error in 1965–1966 J. Lin et al. https://doi.org/10.1002/qj.5042
- A homogenized gridded climate dataset for China K. Wang et al. https://doi.org/10.1007/s11430-025-1889-0
- Underestimation of the Warming Trend over the Tibetan Plateau during 1998–2013 by Global Land Data Assimilation Systems and Atmospheric Reanalyses P. Ji & X. Yuan https://doi.org/10.1007/s13351-020-9100-3
- Constrained future brightening of solar radiation and its implication for China's solar power Y. He et al. https://doi.org/10.1093/nsr/nwac242
- Extreme precipitation changes over the Yangtze River Basin in 1901-2020 S. Zhang et al. https://doi.org/10.3354/cr01714
- Stronger rise in humid heatwaves over China shown by homogenized data from 1961 to 2022 L. Chen et al. https://doi.org/10.1016/j.atmosres.2025.108620
- Stilling and Recovery of the Surface Wind Speed Based on Observation, Reanalysis, and Geostrophic Wind Theory over China from 1960 to 2017 Z. Zhang & K. Wang https://doi.org/10.1175/JCLI-D-19-0281.1
- Correction of Inhomogeneities in Observed Land Surface Temperatures over China J. Du et al. https://doi.org/10.1175/JCLI-D-19-0521.1
- Investigating bi-decadal precipitation changes over the Northwest Himalayas during the pre-monsoon: role of Pacific decadal oscillations D. Aggarwal et al. https://doi.org/10.1007/s00382-023-06969-3
- Links Between the Large‐Scale Circulation and Daily Air Quality Over Central Eastern China During Winter W. Ge et al. https://doi.org/10.1029/2018JD030154
- HomogWS-se: a century-long homogenized dataset of near-surface wind speed observations since 1925 rescued in Sweden C. Zhou et al. https://doi.org/10.5194/essd-14-2167-2022
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