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Stepwise Downscaling of ERA5-Land Reanalysis Air Temperature: A Case Study in Nanjing, China

Remote Sensing
Reanalysis air temperature data, characterized by temporal continuity but limited spatial resolution, are commonly downscaled to achieve higher spatial resolution to meet the demands of regional climatological studies and related research fields. However,
Xuelian Li   +3 more
semanticscholar   +1 more source

Spatio-temporal AI downscaling of ERA5-land precipitation estimates

Generative deep learning models have been proven to have great potential for precipitation nowcasting and downscaling applications. spateGAN [1] is a conditional generative neural network that we initially developed for spatio-temporal superresolution of radar-rainfall in Germany.
Luca Glawion   +4 more
openaire   +1 more source

Consistency of spatiotemporal variability of MODIS and ERA5-Land surface warming trends over complex topography

Environmental Science and Pollution Research, 2023
In this study, the trend of widely used MODIS MxD11 and MxD21 Land Surface Temperature (LST) and ERA5-Land Skin Temperature (SKT) and 2 m air temperature products were validated using 2 m air temperature trends obtained by ground observations from 266 stations in 2000-2021 over Turkey, known to have complex topography.
openaire   +2 more sources

Evaluation and spatio-temporal evolution of surface air temperature estimated by ERA5-Land reanalysis data in East China

Journal of Applied Meteorology and Climatology
This study employed surface air temperature (SAT) data from 29 national meteorological stations located in East China to measure the effectiveness of the ERA5-Land reanalysis dataset from January 2000 to December 2023.
Lijuan Ma, Yuanyuan Wei, Wenhui Dong
semanticscholar   +1 more source

Assessment of Wind Energy Potential in Kolaka Using Era5-land Reanalysis Data

Advances In Social Humanities Research
This research aims to evaluate the potential for wind energy in Kolaka Regency using ERA5-Land reanalysis data from the output of the European Center for Medium-Range Weather Forecasts (ECMWF) model, which has a spatial resolution of 9 km with hourly temporal resolution for the period of 2001 to 2020.
Danu Triatmoko   +2 more
openaire   +1 more source

ERA5-Land Reanalysis Temperature Data Addressing Heatwaves in Portugal

2023
Luis Angel Espinosa   +2 more
openaire   +1 more source

Novel Harmonic-Based Scheme for Mapping Rice-Crop Intensity at a Large Scale Using Time-Series Sentinel-1 and ERA5-Land Datasets

IEEE Transactions on Geoscience and Remote Sensing
Rice-crop intensity is the annual number of rice growth cycles in a field. Monitoring the intensity on a large scale is vital in evaluating grain production and its ecological impact.
Ze He   +6 more
semanticscholar   +1 more source

Spatiotemporal Analysis of Drought Trends in Sicily Using ERA5-Land Data  

Drought presents significant impacts on water resources, agriculture, and socioeconomic stability, particularly in the Mediterranean region, where climate change intensifies these challenges. This study examines the long-term spatiotemporal trends of drought in Sicily using ERA5-Land reanalysis data from 1950. The Standardized Precipitation Index (SPI)
David Johnny Peres   +4 more
openaire   +1 more source

Validation of ERA5-Land-based reconstructed air temperature and near-surface ground temperature on James Ross Island

Polar Geography
This study evaluates the accuracy of ERA5-Land reanalysis products by comparing them with continuous data from James Ross Island, Antarctic Peninsula. ERA5-Land shows lower variability in air and ground temperatures than measurements from three automatic
Lucia Kaplan Pastíriková   +2 more
semanticscholar   +1 more source

Comparative Analysis of Evapotranspiration Estimates: Applying Data from Meteorological Ground Station, ERA5-Land, and MODIS with ECOSTRESS Observations across Grasslands in Central-Western Poland

Agriculture
The aim of this study was to analyze and compare evapotranspiration estimates obtained from different data sources over grassland regions in central-western Poland during the vegetation seasons in the years 2021 and 2022.
Katarzyna Dąbrowska-Zielińska   +3 more
semanticscholar   +1 more source

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