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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, could be used to analyse trends and anomalies. This is achieved through global high-resolution numerical integrations of the ECMWF land surface model driven by the downscaled meteorological forcing from the ERA5 climate reanalysis, including an elevation correction for the thermodynamic near-surface state. ERA5-Land shares with ERA5 most of the parameterizations that guarantees the use of the state-of-the-art land surface modelling applied to numerical weather prediction (NWP) models. A main advantage of ERA5-Land compared to ERA5 and the older ERA-Interim is the horizontal resolution, which is enhanced globally to 9 km compared to 31 km (ERA5) or 80 km (ERA-Interim), whereas the temporal resolution is hourly as in ERA5. Evaluation against independent in situ observations and global model or satellite-based reference datasets shows the added value of ERA5-Land in the description of the hydrological cycle, in particular with enhanced soil moisture and lake description, and an overall better agreement of river discharge estimations with available observations. However, ERA5-Land snow depth fields present a mixed performance when compared to those of ERA5, depending on geographical location and altitude. The description of the energy cycle shows comparable results with ERA5. Nevertheless, ERA5-Land reduces the global averaged root mean square error of the skin temperature, taking as reference MODIS data, mainly due to the contribution of coastal points where spatial resolution is important. Since January 2020, the ERA5-Land period available has extended from January 1981 to the near present, with a 2- to 3-month delay with respect to real time. The segment prior to 1981 is in production, aiming for a release of the whole dataset in summer/autumn 2021. The high spatial and temporal resolution of ERA5-Land, its extended period, and the consistency of the fields produced makes it a valuable dataset to support hydrological studies, to initialize NWP and climate models, and to support diverse applications dealing with water resource, land, and environmental management.
Keywords
NUMERICAL WEATHER PREDICTION, SOIL-MOISTURE, IN-SITU, OPERATIONAL IMPLEMENTATION, LAKE PARAMETERIZATION, SURFACE-TEMPERATURE, WEST-AFRICA, SNOW MODELS, LEAF-AREA, SATELLITE

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MLA
Muñoz-Sabater, Joaquín, et al. “ERA5-Land : A State-of-the-Art Global Reanalysis Dataset for Land Applications.” EARTH SYSTEM SCIENCE DATA, vol. 13, no. 9, 2021, pp. 4349–83, doi:10.5194/essd-13-4349-2021.
APA
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., … Thépaut, J.-N. (2021). ERA5-Land : a state-of-the-art global reanalysis dataset for land applications. EARTH SYSTEM SCIENCE DATA, 13(9), 4349–4383. https://doi.org/10.5194/essd-13-4349-2021
Chicago author-date
Muñoz-Sabater, Joaquín, Emanuel Dutra, Anna Agustí-Panareda, Clément Albergel, Gabriele Arduini, Gianpaolo Balsamo, Souhail Boussetta, et al. 2021. “ERA5-Land : A State-of-the-Art Global Reanalysis Dataset for Land Applications.” EARTH SYSTEM SCIENCE DATA 13 (9): 4349–83. https://doi.org/10.5194/essd-13-4349-2021.
Chicago author-date (all authors)
Muñoz-Sabater, Joaquín, Emanuel Dutra, Anna Agustí-Panareda, Clément Albergel, Gabriele Arduini, Gianpaolo Balsamo, Souhail Boussetta, Margarita Choulga, Shaun Harrigan, Hans Hersbach, Brecht Martens, Diego Miralles, María Piles, Nemesio J. Rodríguez-Fernández, Ervin Zsoter, Carlo Buontempo, and Jean-Noël Thépaut. 2021. “ERA5-Land : A State-of-the-Art Global Reanalysis Dataset for Land Applications.” EARTH SYSTEM SCIENCE DATA 13 (9): 4349–4383. doi:10.5194/essd-13-4349-2021.
Vancouver
1.
Muñoz-Sabater J, Dutra E, Agustí-Panareda A, Albergel C, Arduini G, Balsamo G, et al. ERA5-Land : a state-of-the-art global reanalysis dataset for land applications. EARTH SYSTEM SCIENCE DATA. 2021;13(9):4349–83.
IEEE
[1]
J. Muñoz-Sabater et al., “ERA5-Land : a state-of-the-art global reanalysis dataset for land applications,” EARTH SYSTEM SCIENCE DATA, vol. 13, no. 9, pp. 4349–4383, 2021.
@article{8720030,
  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, could be used to analyse trends and anomalies. This is achieved through global high-resolution numerical integrations of the ECMWF land surface model driven by the downscaled meteorological forcing from the ERA5 climate reanalysis, including an elevation correction for the thermodynamic near-surface state. ERA5-Land shares with ERA5 most of the parameterizations that guarantees the use of the state-of-the-art land surface modelling applied to numerical weather prediction (NWP) models. A main advantage of ERA5-Land compared to ERA5 and the older ERA-Interim is the horizontal resolution, which is enhanced globally to 9 km compared to 31 km (ERA5) or 80 km (ERA-Interim), whereas the temporal resolution is hourly as in ERA5. Evaluation against independent in situ observations and global model or satellite-based reference datasets shows the added value of ERA5-Land in the description of the hydrological cycle, in particular with enhanced soil moisture and lake description, and an overall better agreement of river discharge estimations with available observations. However, ERA5-Land snow depth fields present a mixed performance when compared to those of ERA5, depending on geographical location and altitude. The description of the energy cycle shows comparable results with ERA5. Nevertheless, ERA5-Land reduces the global averaged root mean square error of the skin temperature, taking as reference MODIS data, mainly due to the contribution of coastal points where spatial resolution is important. Since January 2020, the ERA5-Land period available has extended from January 1981 to the near present, with a 2- to 3-month delay with respect to real time. The segment prior to 1981 is in production, aiming for a release of the whole dataset in summer/autumn 2021. The high spatial and temporal resolution of ERA5-Land, its extended period, and the consistency of the fields produced makes it a valuable dataset to support hydrological studies, to initialize NWP and climate models, and to support diverse applications dealing with water resource, land, and environmental management.}},
  author       = {{Muñoz-Sabater, Joaquín and Dutra, Emanuel and Agustí-Panareda, Anna and Albergel, Clément and Arduini, Gabriele and Balsamo, Gianpaolo and Boussetta, Souhail and Choulga, Margarita and Harrigan, Shaun and Hersbach, Hans and Martens, Brecht and Miralles, Diego and Piles, María and Rodríguez-Fernández, Nemesio J. and Zsoter, Ervin and Buontempo, Carlo and Thépaut, Jean-Noël}},
  issn         = {{1866-3508}},
  journal      = {{EARTH SYSTEM SCIENCE DATA}},
  keywords     = {{NUMERICAL WEATHER PREDICTION,SOIL-MOISTURE,IN-SITU,OPERATIONAL IMPLEMENTATION,LAKE PARAMETERIZATION,SURFACE-TEMPERATURE,WEST-AFRICA,SNOW MODELS,LEAF-AREA,SATELLITE}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{4349--4383}},
  title        = {{ERA5-Land : a state-of-the-art global reanalysis dataset for land applications}},
  url          = {{http://doi.org/10.5194/essd-13-4349-2021}},
  volume       = {{13}},
  year         = {{2021}},
}

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