@inproceedings{d10be923e8ba447396b5bcceaf558c62,
title = "Weather reanalysis on an urban scale using WRF",
abstract = "In this study, we improve the Weather Research and Forecasting mesoscale model (WRF) performance by incorporating observations of a variety of sources using data assimilation and nudging techniques on a resolution up to 100 meter for urban areas. Our final goal is to create a 15 year climatological urban re-analysis data archive of (hydro)meteorological variables for Amsterdam which is named ERA-urban. This will enable us to trace trends in thermal comfort and extreme precipitation.",
keywords = "Climate, Data assimilation, Reanalysis, Urban, Workflow",
author = "{Van Haren}, Ronald and Sytse Koopmans and Steeneveld, {Gert Jan} and Natalie Theeuwes and Remko Uijlenhoet and Holtslag, {Albert A.M.}",
year = "2018",
doi = "10.1109/eScience.2018.00049",
language = "English",
series = "Proceedings - IEEE 14th International Conference on eScience, e-Science 2018",
publisher = "IEEE",
pages = "279--280",
booktitle = "Proceedings - IEEE 14th International Conference on eScience, e-Science 2018",
address = "United States",
note = "14th IEEE International Conference on eScience, e-Science 2018 ; Conference date: 29-10-2018 Through 01-11-2018",
}