Article
Environmental Sciences
Lei Gu, Ziye Gu, Qiang Guo, Wei Fang, Qianyi Zhang, Huaiwei Sun, Jiabo Yin, Jianzhong Zhou
Summary: This study assesses the applicability of IMERG and ERA5-Land in simulating CMHF events in China and finds that IMERG performs better than ERA5-Land, and both datasets can capture the frequency, magnitude, and changes of floods and CMHFs.
Article
Engineering, Civil
Lei Gu, Jiabo Yin, Sheng Wang, Jie Chen, Hui Qin, Xiao Yan, Shaokun He, Tongtiegang Zhao
Summary: Multi-satellite, gauge-based, and atmospheric reanalysis datasets have improved spatiotemporal resolution in recent decades. However, their use in global hydrological monitoring and modeling is not well-understood. This study evaluates the performance of MSWEP V2 and ERA5 in modeling daily river discharge in 10,596 global catchments. Different models and streamflow conditions are considered, and the results show satisfactory performance in most catchments. The findings highlight the importance of selecting appropriate hydrological models and suggest the potential of using these datasets for global hydrological modeling.
JOURNAL OF HYDROLOGY
(2023)
Article
Remote Sensing
Zhenyi Zhang, Yidong Lou, Weixing Zhang, Hua Wang, Yaozong Zhou, Jingna Bai
Summary: This paper evaluates the usability of ECMWF's ERA5 and ERA-Interim in nine subregions of China and focuses on the nonlinear component of InSAR atmospheric error. The results show that these reanalyses are most effective in winter and least effective in summer. Correction effectiveness varies with climate types and local topography, and further improvements to NWM are needed.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Engineering, Civil
Jiabo Yin, Shenglian Guo, Lei Gu, Ziyue Zeng, Dedi Liu, Jie Chen, Youjiang Shen, Chong-Yu Xu
Summary: A three-stage blending approach was developed to correct biases in precipitation data, integrating multiple datasets and observational data. The dynamic weights produced through this approach outperformed traditional blending methods, leading to improved hydrological modeling efficiency.
JOURNAL OF HYDROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Shoudong Zhao, Minghu Ding, Wenqian Zhang, Ting Wei, Wei Cheng, Junming Chen, Cunde Xiao
Summary: Research indicates that changes in extreme temperatures have a greater impact on ecosystems and human society than changes in climate averages. The Arctic, a hotspot of global warming, has recently experienced unprecedented heatwaves, which emphasizes the need to identify long-term variations in extreme temperatures. However, spatial imbalance of observations and arbitrarily chosen investigation periods limit our understanding of extreme temperatures in the Arctic region. This study establishes a comprehensive and quality-controlled observation network for surface temperatures in the Arctic lands and combines in situ and reanalysis data to assess changes in extreme temperatures from 1979 to 2020. The results demonstrate an acceleration in the increase of extreme temperatures since the 2000s, particularly along the coast of Eurasia, and a larger magnitude of change for cold events compared to warm events.
JOURNAL OF CLIMATE
(2023)
Article
Environmental Sciences
Nofel Lagrosas, Alifu Xiafukaiti, Hiroaki Kuze, Tatsuo Shiina
Summary: This study compares cloud cover (CC) products from different satellites with ground-based camera datasets. The results show that high-level clouds are not effectively observed from the ground, but satellite data correlates well with camera observations. Continuous observations of nighttime clouds using cameras have the potential to provide a dataset for intercomparison among satellite CC products.
Article
Meteorology & Atmospheric Sciences
Xinyan Liu, Tao He, Lin Sun, Xiongxin Xiao, Shunlin Liang, Siwei Li
Summary: This study evaluated the uncertainties in Arctic daytime cloud fraction (CF) from 16 satellite products and found significant temporal and spatial heterogeneities among the products. The differences caused by algorithm variations were larger than those caused by sensor differences. The study also revealed an upward trend in Arctic daytime CF and higher CF over the ocean compared to land. The findings based on multiple products provided more robust results for Arctic CF research.
JOURNAL OF CLIMATE
(2022)
Article
Environmental Sciences
Ricardo M. Campos, Carolina B. Gramcianinov, Ricardo de Camargo, Pedro L. da Silva Dias
Summary: This paper analyzes the surface winds of ECMWF ERA5 reanalysis in the Atlantic Ocean. The study finds that ERA5 provides high-quality winds for non-extreme conditions, with some errors in tropical latitudes and locations following warm currents. Two calibration models, simple least-squares linear regression (LR) and quantile mapping method (QM), are proposed and compared to remove systematic bias. These models prove to be efficient in improving the accuracy of the reanalysis data.
Article
Meteorology & Atmospheric Sciences
Haopeng Wu, Xiaofeng Xu, Tianyang Luo, Yudi Yang, Zixu Xiong, Yuan Wang
Summary: Cloud plays a crucial role in climate change, and this study compares the cloud cover data obtained from four commonly used atmospheric reanalysis datasets with MODIS retrievals. The results show that the reanalyses generally have good consistency with MODIS over land, but slight discrepancies over ocean. ERA5 exhibits the highest correlation and the smallest bias, while NCEP shows the lowest and the largest. In terms of high cloud cover, all three reanalyses tend to overestimate compared to MODIS, with ERA-Interim showing the closest match. Additionally, ERA-Interim and MERRA-2 show a significant increasing trend of total cloud cover, while ERA5 and MERRA-2 display a decreasing trend of high cloud cover over ocean.
ATMOSPHERIC RESEARCH
(2023)
Article
Geography, Physical
Xin-Ming Zhu, Xiao-Ning Song, Pei Leng, Fang-Cheng Zhou, Liang Gao, Da Guo
Summary: This paper investigates the performance of six reanalyzed profiles in correcting the atmospheric effects of cloudy skies. The results show that ERA5 has the best accuracy and can be recommended for atmospheric correction of PMW-based Land Surface Temperature (LST) retrievals.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2022)
Article
Multidisciplinary Sciences
Jun Meng, Jingfang Fan, Uma S. Bhatt, Juergen Kurths
Summary: The decline of Arctic sea ice is strongly correlated with global weather patterns, emphasizing the importance of understanding Arctic weather variability for accurate weather forecasting. The complex link between Arctic weather and the Arctic Oscillation is discovered, highlighting the increased variability in daily Arctic sea ice due to accelerated ice decline caused by global warming. This weather instability can affect broader regional patterns and pose risks to human activities and weather forecast predictability.
NATURE COMMUNICATIONS
(2023)
Article
Meteorology & Atmospheric Sciences
Jeong-Gil Lee, Yoo-Geun Ham
Summary: The impact of assimilating satellite-retrieved Arctic sea ice thickness on simulating sea ice concentration climatology is investigated using a data assimilation system. The assimilation of CryoSat-2 and SMOS satellite data significantly reduces the bias of sea ice concentration and thickness in both melting and growing seasons. The response of sea ice concentration to sea ice thickness change varies with seasons and latitudinal locations. In the inner ice zone, sea ice thickens during winter and melting is reduced in subsequent seasons to increase sea ice concentration. In marginal ice zones, the positive bias in sea ice thickness is reduced, leading to a decrease in sea ice concentration.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2023)
Article
Geochemistry & Geophysics
Jingshu Tan, Biyan Chen, Wei Wang, Wenkun Yu, Wujiao Dai
Summary: This study provided a comprehensive evaluation of precipitable water vapor (PWV) products from China's geostationary meteorological satellite Fengyun-4A (FY-4A). The results showed good agreement between FY-4A PWV data and radiosonde/GNSS measurements, but an underestimation of water vapor during humid conditions. The spatial variability of FY-4A PWV was found to be correlated with latitude and season.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Meteorology & Atmospheric Sciences
Huidong Yeo, Man-Hae Kim, Seok-Woo Son, Jee-Hoon Jeong, Jin-Ho Yoon, Baek-Min Kim, Sang-Woo Kim
Summary: The study investigated Arctic cloud properties and radiative effects by comparing reanalysis datasets with observations, revealing differences in cloud fractions and phase-partitioning parameterizations among the datasets. Although similar spatial distributions of ice and liquid water paths were found, the quantities were underestimated in the reanalyses and the proportions varied significantly. Longwave cloud radiative effects showed more consistent variations compared to cloud fractions, with large discrepancies observed in winter.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Xue Wang, Runtong Chen, Chao Li, Zhuoqi Chen, Fengming Hui, Xiao Cheng
Summary: This study systematically evaluated and compared eleven satellite sea ice motion products from different institutions. The results showed that accuracy of the products is influenced by season, region, data source, ice drift tracking algorithm, and time interval. The findings contribute to data assimilation and model validation, and provide directions for improving the retrieval of sea ice drift from satellite data.
Article
Meteorology & Atmospheric Sciences
Na Wen, Zhengyu Liu, Yinghui Liu
Article
Meteorology & Atmospheric Sciences
Yinghui Liu
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2015)
Article
Environmental Sciences
Yinghui Liu, Jeffrey Key, Robert Mahoney
Article
Meteorology & Atmospheric Sciences
Aaron Letterly, Jeffrey Key, Yinghui Liu
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2016)
Article
Environmental Sciences
J-L F. Li, Mark Richardson, Yulan Hong, Wei-Liang Lee, Yi-Hui Wang, Jia-Yuh Yu, Eric Fetzer, Graeme Stephens, Yinghui Liu
ENVIRONMENTAL RESEARCH LETTERS
(2017)
Article
Environmental Sciences
Yinghui Liu, Jeffrey R. Key
ENVIRONMENTAL RESEARCH LETTERS
(2014)
Article
Meteorology & Atmospheric Sciences
Xuanji Wang, Jeffrey Key, Yinghui Liu, Charles Fowler, James Maslanik, Mark Tschudi
ADVANCES IN METEOROLOGY
(2012)
Article
Meteorology & Atmospheric Sciences
Jeffrey R. Key, Robert Mahoney, Yinghui Liu, Peter Romanov, Mark Tschudi, Igor Appel, James Maslanik, Dan Baldwin, Xuanji Wang, Paul Meade
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2013)
Article
Environmental Sciences
Yinghui Liu, Richard Dworak, Jeffrey Key
Article
Environmental Sciences
Jay P. Hoffman, Steven A. Ackerman, Yinghui Liu, Jeffrey R. Key
Article
Environmental Sciences
Yinghui Liu, Sean Helfrich, Walter N. Meier, Richard Dworak
Article
Environmental Sciences
Richard Dworak, Yinghui Liu, Jeffrey Key, Walter N. Meier
Summary: An effective blended Sea-Ice Concentration (SIC) product has been developed by utilizing ice concentrations from both passive microwave and visible/infrared satellite instruments, specifically AMSR2 and VIIRS. The product combines the advantages of all-sky capability of AMSR2 and high spatial resolution of VIIRS, outperforming individual VIIRS and AMSR2 SICs under clear-sky conditions.
Article
Environmental Sciences
Jay P. Hoffman, Steven A. Ackerman, Yinghui Liu, Jeffrey R. Key, Iain L. McConnell
Summary: Sea ice leads play a critical role in the energy flux between the ocean and atmosphere in the Arctic. A new approach using AI technology to detect leads has shown high detection accuracy and improvement over traditional methods.
Article
Environmental Sciences
Xuanji Wang, Yinghui Liu, Jeffrey R. Key, Richard Dworak
Summary: Arctic sea ice has been changing rapidly and significantly in the last few decades, with a decrease in ice coverage, thickness, and volume. The loss of perennial sea ice-covered area is a major factor in the total sea ice loss. If the current trends continue, the Arctic is expected to have ice-free summers by the early 2060s.