However, the changes in land surface freeze‒thaw processes under climate change on a global scale are still unclear. Based on ERA5-Land hourly land skin temperature data, this study evaluated changes in the global FG area, global land surface first freeze date (FFD), last freeze date (...
Fig. 7. Eps-Singleton statistics for ERA5Land (a) and ERA5 (b). The higher the value the higher the discrepancy amongst the pdfs of the datasets. 5.4. Spatial pattern evaluation ERA5-Land properly reproduces the spatial patterns provided by AEMET at both daily (Fig. 8a) and monthly (...
Machine-learning-based downscaling of hourly ERA5-Land air temperature over mountainous regions. Atmosphere 14 ( 4), 610. Google Scholar Crossref Sun L., Lan Y. & Jiang R. 2023 Using CNN framework to improve multi-GCM ensemble predictions of monthly precipitation at local areas: An ...
ERA5 data are available as hourly and monthly products on pressure levels (upper air fields), model and single levels (atmospheric, ocean-wave and land surface quantities). • UERRA (MESCAN-SURFEX option-Gustafsson et al. 2001; Ridal et al.2017; Bazile et al. 2017): is a re...
Despite many short-term investigations, the medium-term problem needs better exploration, particularly the analysis and assessment of meteorological data for forecasting drinking water demand. This work proposes to analyse the suitability of ERA5-Land reanalysis data as weather input in water demand ...
Land is a global land reanalysis dataset produced by ECMWF based on ERA5, specifically targeting land surfaces. It provides high-spatial- and high-temporal-resolution data (0.1 degrees monthly/hourly) for over 50 variables [17]. This dataset offers valuable resources for studying land surface ...
It includes the evolution of greenhouse gases, volcanic eruptions, sea surface temperature, wind waves, and sea ice (quality-assured monthly updates of ERA5 are published within three months of real-time). For storage issues, data have been gridded to a regular lat-lon grid of 0.25°. At ...
Complementarity analysis showed a good complementarity between resources on the monthly timescale, whereas for daily and hourly scales some negative correlation exists, but at significantly lower levels (less than −0.35). On the country level, the solar and wind resources tend to complement each ...