Article
Green & Sustainable Science & Technology
Zia ul Rehman Tahir, Muhammad Amjad, Muhammad Asim, Muhammad Azhar, Muhammad Farooq, Muhammad Junaid Ali, Syed Uzair Ahmad, Ghulam Murtaza Amjad, Afkar Hussain
Summary: This paper evaluates the accuracy of solar radiation from different generation reanalysis datasets under different climatic conditions. Newer versions of the datasets show better performance, with clear-sky conditions yielding more precise estimations and overcast conditions resulting in poor accuracy. The datasets also show varying performance under different sky conditions.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Meteorology & Atmospheric Sciences
Yadi Li, Xichen Li, Juan Feng, Yi Zhou, Wenzhu Wang, Yurong Hou
Summary: El Nino-Southern Oscillation (ENSO) usually intensifies the Hadley Circulation (HC) and restricts its meridional extension, leading to an equatorward movement of the jet system. This study evaluates the capability of eight reanalysis datasets in reproducing the regional HC response to ENSO events using a newly developed three-dimensional HC structure technique. Results show that while these datasets reproduce the spatial structure of HC responses well, they may not capture the amplitudes of the HC responses accurately, especially for ENSO-associated equatorially asymmetric HC anomalies.
ADVANCES IN ATMOSPHERIC SCIENCES
(2023)
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
Meteorology & Atmospheric Sciences
Tayeb Raziei, Arash Parehkar
Summary: This study focused on using reanalysis data blended with gridded data sets to calculate monthly PM-ETo at 43 synoptic stations in Iran. Results showed good matches for solar radiation, maximum temperature, and minimum temperature, but large errors for wind speed and relative humidity in comparison to observations. The blended reanalysis data were found to be suitable for estimating ETo in inland areas of Iran despite some degree of overestimation at most stations.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Review
Green & Sustainable Science & Technology
Alexander Kies, Bruno U. Schyska, Mariia Bilousova, Omar El Sayed, Jakub Jurasz, Horst Stoecker
Summary: In the study of the transition to a highly renewable European power system, significant differences and cost disparities of about 10% were found among commonly used datasets. This underscores the importance of paying closer attention to the uncertainties in input data when utilizing large-scale energy system models.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Meteorology & Atmospheric Sciences
Jiayu Xu, Rongxiang Tian, Song Feng
Summary: This study compares the vertical velocity of air over China from three reanalysis datasets, indicating that ERA-Interim and JRA-55 have more consistent vertical velocity fields. It is recommended to prioritize the use of ERA-Interim or JRA-55 over NCEP/NCAR. Additionally, the intensity of atmospheric vertical motion in the lower troposphere is significantly higher in JRA-55 compared to ERA-Interim and NCEP/NCAR.
ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES
(2021)
Article
Meteorology & Atmospheric Sciences
Ziyi Li, Junhong Wei, Xinghua Bao, Y. Qiang Sun
Summary: This study presents a comprehensive global intercomparison of mesoscale kinetic energy and its spectra among six leading high-resolution atmospheric reanalysis products. The study reveals substantial discrepancies in magnitudes and slopes of the kinetic energy spectra among the datasets. The ability to capture mesoscale signals is closely linked to resolution, but is also influenced by other factors.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2023)
Article
Water Resources
Ajit Kumar, Vivekanand Singh
Summary: This study collected, analyzed, and compared three high-resolution gridded rainfall datasets to explore the most suitable dataset for future studies in the Bagmati river basin in Bihar State, India. The results indicated that IMERG dataset was the most appropriate at all time scales.
WATER PRACTICE AND TECHNOLOGY
(2023)
Article
Energy & Fuels
Antonio Manuel Gomez-Orellana, Juan Carlos Fernandez, Manuel Dorado-Moreno, Pedro Antonio Gutierrez, Cesar Hervas-Martinez
Summary: Meteorological data are crucial in environmental learning, and a novel software tool is introduced in this paper for creating datasets to support the application of Soft Computing and Machine Learning techniques in this field. The tool aims to provide the research community with an automated and versatile system for well-formed and quality data integration, potentially leading to better prediction models.