Data description paper
07 Sep 2021
Data description paper
| 07 Sep 2021
ERA5-Land: a state-of-the-art global reanalysis dataset for land applications
Joaquín Muñoz-Sabater et al.
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- LamaH | Large-Sample Data for Hydrology: Big data für die Hydrologie und Umweltwissenschaften C. Klingler et al. 10.1007/s00506-021-00769-x
- Quantifying spatiotemporal variations in soil moisture driven by vegetation restoration on the Loess Plateau of China L. Qiu et al. 10.1016/j.jhydrol.2021.126580
- L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records R. van der Schalie et al. 10.3390/rs13132480
- On the role of Eurasian autumn snow cover in dynamical seasonal predictions P. Ruggieri et al. 10.1007/s00382-021-06016-z
- Soil moisture content retrieval from Landsat 8 data using ensemble learning Y. Zhang et al. 10.1016/j.isprsjprs.2022.01.005
Latest update: 24 May 2022
Short summary
The creation of ERA5-Land responds to a growing number of applications requiring global land datasets at a resolution higher than traditionally reached. ERA5-Land provides operational, global, and hourly key variables of the water and energy cycles over land surfaces, at 9 km resolution, from 1981 until the present. This work provides evidence of an overall improvement of the water cycle compared to previous reanalyses, whereas the energy cycle variables perform as well as those of ERA5.
The creation of ERA5-Land responds to a growing number of applications requiring global land...