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Relevant bibliographies by topics / ERA5-Land

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Academic literature on the topic 'ERA5-Land'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "ERA5-Land"

1

Muñoz-Sabater, Joaquín, Emanuel Dutra, Anna Agustí-Panareda, et al. "ERA5-Land: a state-of-the-art global reanalysis dataset for land applications." Earth System Science Data 13, no. 9 (2021): 4349–83. http://dx.doi.org/10.5194/essd-13-4349-2021.

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Abstract. Framed within the Copernicus Climate Change Service (C3S) of the European Commission, the European Centre for Medium-Range Weather Forecasts (ECMWF) is producing an enhanced global dataset for the land component of the fifth generation of European ReAnalysis (ERA5), hereafter referred to as ERA5-Land. Once completed, the period covered will span from 1950 to the present, with continuous updates to support land monitoring applications. ERA5-Land describes the evolution of the water and energy cycles over land in a consistent manner over the production period, which, among others, coul

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2

Qian, Lihui, and Peng Zhao. "Assessment of ERA5-Land Reanalysis Precipitation Data in the Qilian Mountains of China." Atmosphere 16, no. 7 (2025): 826. https://doi.org/10.3390/atmos16070826.

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Precipitation serves as a crucial indicator of climate change and a vital part of the water cycle in mountainous regions. ERA5-Land, a cutting-edge global reanalysis dataset designed for land applications, has been extensively utilized in climate-related studies. In this research, we assessed the reliability of ERA5-Land monthly averaged reanalysis precipitation data in the Qilian Mountains (QLM). We did this by comparing it with the observations from 17 meteorological stations spanning from 1979 to 2017. The findings indicated that, overall, the ERA5-Land reanalysis precipitation data tended

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3

Gao, Limimg, Yaonan Zhang, and Lele Zhang. "Validation and Spatiotemporal Analysis of Surface Net Radiation from CRA/Land and ERA5-Land over the Tibetan Plateau." Atmosphere 14, no. 10 (2023): 1542. http://dx.doi.org/10.3390/atmos14101542.

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High spatial–temporal resolution surface net radiation (RN) data are of great significance to the study of climate, ecology, hydrology and cryosphere changes on the Tibetan Plateau (TP), but the verification of the surface net radiation products on the plateau is not sufficient. In this study, the China Meteorological Administration Global Land Surface Reanalysis Products (CRA/Land) and ECMWF Land Surface Reanalysis version 5 (ERA5-Land) RN data were validated using ground measurements at daily and monthly time scales, and the spatiotemporal patterns were also analyzed. The results indicate th

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Zhang, Liancheng, Guli Jiapaer, Tao Yu, et al. "Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, China." Remote Sensing 16, no. 2 (2024): 283. http://dx.doi.org/10.3390/rs16020283.

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Temperature and precipitation are crucial indicators for investigating climate changes, necessitating precise measurements for rigorous scientific inquiry. While the Fifth Generation of European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis (ERA5), ERA5 of the Land Surface (ERA5-Land), and China Meteorological Forcing Dataset (CMFD) temperature and precipitation products are widely used worldwide, their suitability for the Altay region of arid and semi-arid areas has received limited attention. Here, we used the Altay region as the study area, utilizing meteorological statio

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Guo, Chunrui, Ning Ning, Hao Guo, Yunfei Tian, Anming Bao, and Philippe De Maeyer. "Does ERA5-Land Effectively Capture Extreme Precipitation in the Yellow River Basin?" Atmosphere 15, no. 10 (2024): 1254. http://dx.doi.org/10.3390/atmos15101254.

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ERA5-Land is a valuable reanalysis data resource that provides near-real-time, high-resolution, multivariable data for various applications. Using daily precipitation data from 301 meteorological stations in the Yellow River Basin from 2001 to 2013 as benchmark data, this study aims to evaluate ERA5-Land’s capability of monitoring extreme precipitation. The evaluation study is conducted from three perspectives: precipitation amount, extreme precipitation indices, and characteristics of extreme precipitation events. The results show that ERA5-Land can effectively capture the spatial distributio

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Parsons, Danny, David Stern, Denis Ndanguza, and Mouhamadou Bamba Sylla. "Evaluation of Satellite-Based Air Temperature Estimates at Eight Diverse Sites in Africa." Climate 10, no. 7 (2022): 98. http://dx.doi.org/10.3390/cli10070098.

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High resolution satellite and reanalysis-based air temperature estimates have huge potential to complement the sparse networks of air temperature measurements from ground stations in Africa. The recently released Climate Hazards Center Infrared Temperature with Stations (CHIRTS-daily) dataset provides daily minimum and maximum air temperature estimates on a near-global scale from 1983 to 2016. This study assesses the performance of CHIRTS-daily in comparison with measurements from eight ground stations in diverse locations across Africa from 1983 to 2016, benchmarked against the ERA5 and ERA5-

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Zhang, Ye, Yintang Wang, Lingjie Li, et al. "Error Decomposition of CRA40-Land and ERA5-Land Reanalysis Precipitation Products over the Yongding River Basin in North China." Atmosphere 13, no. 11 (2022): 1936. http://dx.doi.org/10.3390/atmos13111936.

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Long-term and high-resolution reanalysis precipitation datasets provide important support for research on climate change, hydrological forecasting, etc. The comprehensive evaluation of the error performances of the newly released ERA5-Land and CRA40-Land reanalysis precipitation datasets over the Yongding River Basin in North China was based on the two error decomposition schemes, namely, decomposition of the total mean square error into systematic and random errors and decomposition of the total precipitation bias into hit bias, missed precipitation, and false precipitation. Then, the error f

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Kouki, Kerttu, Kari Luojus, and Aku Riihelä. "Evaluation of snow cover properties in ERA5 and ERA5-Land with several satellite-based datasets in the Northern Hemisphere in spring 1982–2018." Cryosphere 17, no. 12 (2023): 5007–26. http://dx.doi.org/10.5194/tc-17-5007-2023.

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Abstract. Seasonal snow cover of the Northern Hemisphere (NH) greatly influences surface energy balance; hydrological cycle; and many human activities, such as tourism and agriculture. Monitoring snow cover at a continental scale is only possible from satellites or using reanalysis data. This study aims to analyze the time series of snow water equivalent (SWE), snow cover extent (SCE), and surface albedo in spring in ERA5 and ERA5-Land reanalysis data and to compare the time series with several satellite-based datasets. As reference data for the SWE intercomparison, we use bias-corrected SnowC

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Mayer, Johannes, Michael Mayer, and Leopold Haimberger. "Consistency and Homogeneity of Atmospheric Energy, Moisture, and Mass Budgets in ERA5." Journal of Climate 34, no. 10 (2021): 3955–74. http://dx.doi.org/10.1175/jcli-d-20-0676.1.

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AbstractThis study uses advanced numerical and diagnostic methods to evaluate the atmospheric energy budget with the fifth major global reanalysis produced by ECMWF (ERA5) in combination with observed and reconstructed top of the atmosphere (TOA) energy fluxes for the period 1985–2018. We assess the meridional as well as ocean–land energy transport and perform internal consistency checks using mass-balanced data. Furthermore, the moisture and mass budgets in ERA5 are examined and compared with previous budget evaluations using ERA-Interim as well as observation-based estimates. Results show th

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Raharjo, MHFY, IS Lukito, Martarizal, A. Sail, and S. Soekirno. "A Comparative Analysis of Air Temperature Data from Automatic Weather Station and ERA5-Land Reanalysis in Java." Journal of Physics: Conference Series 2989, no. 1 (2025): 012030. https://doi.org/10.1088/1742-6596/2989/1/012030.

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Abstract The present work assesses the relationship between air temperature measurements obtained from Automatic Weather Stations (AWS) and ERA5-Land reanalysis data in Java, Indonesia. The statistical indicators, including Pearson correlation coefficient (r), mean bias error (MBE), and mean absolute error (MAE), were analyzed on data from five AWS sites with different heights. Analysis reveals strong correlations (r > 0.9) between the AWS and ERA5-Land datasets, except for Dieng, which exhibits a weaker correlation (r = 0.75) and a substantial overestimation (MBE = 5.64). In general, ERA5-

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Dissertations / Theses on the topic "ERA5-Land"

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Kawohl, Tobias Olliver [Verfasser], and Jürgen [Akademischer Betreuer] Böhner. "Evaluation of ERA5, ERA5-Land, and IMERG-F precipitation with a particular focus on elevation-dependent variations : A comparative analysis using observations from Germany and Brazil / Tobias Olliver Kawohl ; Betreuer: Jürgen Böhner." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2020. http://d-nb.info/1205491457/34.

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Book chapters on the topic "ERA5-Land"

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Espinosa, Luis Angel, Maria Manuela Portela, and José Pedro Matos. "ERA5-Land Reanalysis Temperature Data Addressing Heatwaves in Portugal." In Advances in Sustainability Science and Technology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44006-9_7.

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De Caro, Dario, Ippolito Matteo, and Giuseppe Provenzano. "Assessing Daily ERA5-Land Reanalysis Data to Estimate Actual Evapotranspiration of Olive Orchards in Sicily." In AIIA 2022: Biosystems Engineering Towards the Green Deal. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30329-6_11.

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Kumar, Pramod, Sudheer Yadav, Khushboo Sharma, Prem Kumar, Jaya Rai, and Ravindra Pratap Singh. "Hydrometeorological Water Budget and It’s Relationship with Extreme Over Alaknanda River Basin: An Application of ERA5-Land." In Water Science and Technology Library. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-76532-2_16.

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4

Pal, Jayanti, and Sayoni Sarkar. "Dual Nature of Land Ocean Thermal Contrast during Pre-Monsoon and Onset Phase of Indian Summer Monsoon." In Global Warming - A Concerning Component of Climate Change. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.110536.

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Under faster Indian Ocean (IO) warming, several thermodynamical properties of the atmosphere over the Indian sub-continent change abruptly. The present study has evaluated the temperature field using ERA5 and IMDAA reanalysis. From the climatological evolution, it has been observed that before monsoon onset over Kerala (MOK) not only does meridional tropospheric temperature gradient reverses from negative to positive but the surface LOTC also decline very sharply. Interannual variation of LOTC shows that there is no significant trend, however, warming since 1980 may lead to an increase in vari

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Conference papers on the topic "ERA5-Land"

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Cuiza, Mishel, and Gustavo A. Siles. "Evaluation of total precipitation from ERA5-Land reanalysis for rain attenuation studies." In 2024 IEEE 1st Latin American Conference on Antennas and Propagation (LACAP). IEEE, 2024. https://doi.org/10.1109/lacap63752.2024.10876320.

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Umair Khan, Muhammad, and Mohamed Abdi Jama. "Evaluation of GHI from NASA MERRA-2 and ECMWF ERA5-Land Reanalysis Against In-Situ Observations in Al-Ain, UAE." In 2024 International Conference on Engineering and Emerging Technologies (ICEET). IEEE, 2024. https://doi.org/10.1109/iceet65156.2024.10913700.

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Alexandridis, Vasileios, Stefanos Stefanidis, and Stavros Dafis. "Evaluation of ERA5 and ERA5-Land Reanalysis Precipitation Data with Rain Gauge Observations in Greece." In International Conference on Meteorology, Climatology and Atmospheric Physics. MDPI, 2023. http://dx.doi.org/10.3390/environsciproc2023026104.

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Brito, Zeilane Silva, and Carlos Alexandre Santos Querino. "VALIDAÇÃO DE DADOS DE REANÁLISE DO ERA5 LAND NO SUL DO AMAZONAS." In XXXIII Congresso de Iniciação Científica. Even3, 2025. https://doi.org/10.29327/xxxiii-conic.1059061.

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Pablos, M., A. Turiel, M. Vall-llossera, A. Camps, and M. Portabella. "Correlated Triple Collocation to Estimate SMOS, SMAP and ERA5-Land Soil Moisture Errors." In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9553378.

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Diouf, Daouda, Carlos Mejia, and Djibril Seck. "Soil Moisture Prediction Model from ERA5-Land Parameters using a Deep Neural Networks." In 12th International Conference on Neural Computation Theory and Applications. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0010106703890395.

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Mohammed, Aboobacker Valliyil, Ebrahim M. A. S. Al-Ansari, Shanas Puthuveetil Razak, Veerasingam Subramanian, and Vethamony Ponnumony. "Wind Energy Potential along the Onshore and Offshore Qatar." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0018.

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Wind energy is one among the clean and renewable energy resources. The utilization of nonconventional energies over the conventional sources helps to reduce the carbon emissions significantly. The present study aims at investigating the wind energy potential at select coastal locations of Qatar using ERA5 winds. ERA5 is the updated reanalysis product of the European Centre for Medium-range Weather Forecasts (ECMWF), in which the scatterometer and in situ wind data are assimilated to improve the accuracy of predictions, thus the long-term and shortterm variabilities are reasonably well captured

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Tripathi, Gaurav, Arvind Chandra Pandey, and Bikash Ranjan Parida. "Flood Frequency Analysis Using ERA5-Land Based Precipitation for Kosi-Mahasetu Station in North Bihar, India." In 2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2021. http://dx.doi.org/10.1109/ingarss51564.2021.9792046.

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Wen, Yuliang, Yonghong Yi, Tong Hao, Tian Chang, Ping Lu, and Rongxing Li. "Large-scale Soil Moisture Mapping on the Tibetan Plateau (TP) Using Bias-corrected ERA5-Land Product." In TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON). IEEE, 2022. http://dx.doi.org/10.1109/tencon55691.2022.9977908.

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Pelosi, Anna, Salvatore Falanga Bolognesi, Guido D'Urso, and Giovanni Battista Chirico. "Assessing crop evapotranspiration by combining ERA5-Land meteorological reanalysis data and visible and near-infrared satellite imagery." In 2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2021. http://dx.doi.org/10.1109/metroagrifor52389.2021.9628640.

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