Monitoring the Water Mass Balance Variability of Small Shallow Lakes by an ERA5-Land Reanalysis and Water Level Measurement-Based Model. An Application to the Trasimeno Lake, Italy [PDF]
, 2022 Climate change has a strong impact on inland water bodies such as lakes. This means that the increase in lake temperature recorded in recent decades-in Europe as well-can change the evaporation regime of the lakes.
Bruno Brunone +4 more
core +1 more source
Scientific Reports, 2022 Evaluating the accuracy of the satellite and reanalysis precipitation products is very important for understanding their uncertainties and potential applications.
Wenhao Xie +6 more
doaj +1 more source
Can Satellite and Atmospheric Reanalysis Products Capture Compound Moist Heat Stress-Floods?
Remote Sensing, 2022 Satellite-retrieved and model-based reanalysis precipitation products with high resolution have received increasing attention in recent decades. Their hydrological performance has been widely evaluated.
Lei Gu +7 more
doaj +1 more source
Global assessment of subnational drought impact based on the Geocoded Disasters dataset and land reanalysis [PDF]
Hydrology and Earth System Sciences, 2022 Despite the importance of a link between hydrometeorological drought hazards and their socioeconomic impact, the link at a subnational level has yet to be evaluated due to the lack of precise subnational information on disaster locations. Using the newly
Y. Kageyama, Y. Sawada
doaj +1 more source
Evaluation of snow cover properties in ERA5 and ERA5-Land with several satellite-based datasets in the Northern Hemisphere in spring 1982–2018 [PDF]
, 2023 <jats:p>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.
Luojus, Kari +2 more
core +1 more source
KrigR—a tool for downloading and statistically downscaling climate reanalysis data
Environmental Research Letters, 2022 Advances in climate science have rendered obsolete the gridded observation data widely used in downstream applications. Novel climate reanalysis products outperform legacy data products in accuracy, temporal resolution, and provision of uncertainty ...
Erik Kusch, Richard Davy
doaj +1 more source
Demystifying the use of ERA5‐land and machine learning for wind power forecasting
IET Renewable Power Generation, 2020 Wind is a highly unstable renewable energy source. Accurate forecasting can mitigate the effects of wind inconsistency on the electric grid and help avoid investments in costly energy storage infrastructure. Basing the predictions on open‐source forecast models and climate data also makes them entirely free of charge.
Alexander Marinšek, Gregor Bajt
openaire +1 more source
Assessment of ERA5-Land Data in Medium-Term Drinking Water Demand Modelling with Deep Learning [PDF]
, 2023 Drinking water demand modelling and forecasting is a crucial task for sustainable management and planning of water supply systems. Despite many short-term investigations, the medium-term problem needs better exploration, particularly the analysis and ...
Michele Larcher +5 more
core +1 more source
Temporal prediction of shallow landslides exploiting soil saturation degree derived by ERA5-Land products [PDF]
, 2023 ERA5-Land service has been released recently as an integral and operational component of Copernicus Climate Change Service. Within its set of climatological and atmospheric parameters, it provides soil moisture estimates at different soil depths ...
Ciabatta L. +4 more
core +1 more source
ERA5-Land weekly: Surface temperature, weekly time series for Europe at 1 km resolution (2016 - 2020) [PDF]
, 2021 Overview: ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5.
Kröber, Felix +3 more
core +1 more source