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Dataset for predictive bird migration model

posted on 20.05.2022, 10:17 authored by B. KranstauberB. Kranstauber, Hans van Gasteren, W. BoutenW. Bouten, J.Z. ShamounJ.Z. Shamoun

These datasets are used for developing a predictive model for bird migration. Bird densities are derived from weather data provided by the KNMI (NL/DBL: https://dataplatform.knmi.nl/dataset/radar-tar-volume-debilt-1-0 & NL/HRW: https://dataplatform.knmi.nl/dataset/radar-tar-vol-full-herwijnen-1-0 ). Annotated weather data is derived from the ECMWF ERA 5 dataset: https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5 , https://doi.org/10.1002/qj.3803

Column naming:

Surface temperature: t2m
Surface pressure: sp
Surface pressure 24 hours before: spDayBefore
Average air temperate between 400 and a 1000m: tHeightAvg
Wind between 400 and 1000m: uHeightAvg & vHeightAvg
Surface pressure and wind ad remote locations: FranceCoast_sp, UK_sp, Noorway_sp, MeckPom_sp, Denmark_sp, Sweden_sp, Noorway_u10, Noorway_v10, MeckPom_u10, MeckPom_v10, Denmark_u10, Denmark_v10, Sweden_u10, Sweden_v10,
FranceCoast_u10, FranceCoast_v10, UK_u10, UK_v10
Wind at 10 and a 100 m of height: u10, v10, u100, v100
Total cloud cover: tcc
Source radar: radarId
Timestamp (UTC): datetime
Total percepitation: tp
Solar position: solar_pos_elevation, solar_pos_elevation_change
Vertically integrated bird density: vid
Accumulation and change of accumulation in the number of birds: rain_acc_t3_4_diff, tcc_acc_t3_4_diff, tp_tcc_acc_t3_4_diff, rain_acc_t3_4, tcc_acc_t3_4, tp_tcc_acc_t3_4, wind_rain_acc_t3_4_diff, wind_rain_acc_t3_4


E-Ecology infrastructure supporting this project was made possible by B Wijers, FNWI Expert ICT support and SURFSara. The data preparation work has been partially funded by LifeWatch ERIC. Radar data was made available by the KNMI and processed with help from Hidde Leijnse. Cluster computing facilities were provided by SURFSara through the Lisa cluster. This research was financially supported by the Netherlands Ministry of Defence through the Bird Avoidance System (BAS) project, by the Ministery of Agriculture, Nature and Food Quality, the Ministery of Economic Affairs and Climate Policy, Rijkswaterstaat, and the Province of Groningen through wind farm projects, and by the 2017-2018 Belmont Forum and BiodivERsA joint call for research proposals, under the BiodivScen ERA-Net COFUND programme, and with the funding organisations Swiss National Science Foundation (SNF 31BD30_184120), Belgian Federal Science Policy Office (BelSPO BR/185/A1/GloBAM-BE), Netherlands Organisation for Scientific Research (NWO E10008), Academy of Finland (aka 326315) and National Science Foundation (NSF 1927743).


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