ECMWF Reanalysis - Interim/Land (ERA-Interim/LAND)

Due to the move of our Meteorological Archival and Retrieval System (MARS) to the new Data Centre in Bologna there will be no or degraded access to this dataset at times between June and October 2022.
Please visit our dedicated data centre migration pages for more information.
Thank you for your patience and support during this important move, which will allow exciting scientific developments and overall better service.

ERA-Interim/Land is a global reanalysis of land-surface parameters from 1979-2010 at 80 km spatial resolution. It was produced with a recent version of the HTESSEL land-surface model using atmospheric forcing from ERA-Interim, with precipitation adjustments based on GPCP v2.1.

The evolution of the global land surface state (moisture content and/or temperature) of the different components, soil, vegetation, snow, is of great interest to understand climate-change impact in recent years and the numerical weather prediction system at ECMWF provides the most accurate meteorological forcing to drive the land surface numerical schemes. ERA-Interim/Land, a global land-surface dataset covering recent decades, is the result of a single 32 year simulation with the latest ECMWF land surface model driven by meteorological forcing from the ERA-Interim atmospheric reanalysis and precipitation adjustments based on Global Precipitation Climate Project. ERA-Interim/Land preserves closure of the water balance and includes a number of parameterisations improvements in the land surface scheme with respect to the original ERA-Interim dataset, which makes it suitable for climate studies involving land water resources. The quality of ERA-Interim/Land, that includes a number of parameterisations improvements introduced in recent years in the operational NWP model, was assessed in comparison to site measurements, satellite-based products and other reanalyses, and it is supporting the study of climate trends. ERA-Interim/Land provides a global integrated and coherent water resources estimate that is used also for the initialization of numerical weather prediction and climate models. Enhanced versions are foreseen within the ERA-Clim projects.

For a description of this data set, see Balsamo et al. (2011)

References:

  • Balsamo, G., Albergel, C., Beljaars, A., Boussetta, S., Brun, E., Cloke, H., Dee, D., Dutra, E., Muñoz-Sabater, J., Pappenberger, F., de Rosnay, P., Stockdale, T., and Vitart, F.: ERA-Interim/Land: a global land surface reanalysis data set, Hydrol. Earth Syst. Sci., 19, 389-407, doi:10.5194/hess-19-389-2015. 2015. http://www.hydrol-earth-syst-sci.net/19/389/2015/hess-19-389-2015.html

  • C. Albergel, W. Dorigo, R. H. Reichle, G. Balsamo, P. de Rosnay, J. Muñoz-Sabater, L. Isaksen, R. de Jeu and W. Wagner: Skill and Global Trend Analysis of Soil Moisture from Reanalyses and Microwave Remote Sensing. J. Hydrometeor, 14, 1259–1277, doi:10.1175/JHM-D-12-0161.1, 2013.

Period: 
from January 1979 to December 2010
Keywords: 
Land surface
Type: 
Reanalysis (global)
Range: 
Archive/Analysis
Created by: 
ERA-CLIM
Provided by: 
ECMWF

Explore this dataset:

Licence