Weather reanalysis on an urban scale using WRF

Ronald van Haren; Sytse Koopmans; Gert Jan Steeneveld; Natalie Theeuwes; Remko Uijlenhoet; Albert A.M. Holtslag

doi:10.1109/eScience.2018.00049

Weather reanalysis on an urban scale using WRF

Ronald van Haren
, Sytse Koopmans
, Gert Jan Steeneveld
, Natalie Theeuwes
, Remko Uijlenhoet
, Albert A.M. Holtslag

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - IEEE 14th International Conference on eScience, e-Science 2018
Publisher	IEEE
Pages	279-280
ISBN (Electronic)	9781538691564
DOIs	https://doi.org/10.1109/eScience.2018.00049
Publication status	Published - 24 Dec 2018
Event	14th IEEE International Conference on eScience, e-Science 2018 - Amsterdam, Netherlands Duration: 29 Oct 2018 → 1 Nov 2018

Conference/symposium

Conference/symposium	14th IEEE International Conference on eScience, e-Science 2018
Country/Territory	Netherlands
City	Amsterdam
Period	29/10/18 → 1/11/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Climate
Data assimilation
Reanalysis
Urban
Workflow

Access to Document

10.1109/eScience.2018.00049

Cite this

@inproceedings{cad1ad328c094c74b9e7c99aabbcf678,

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",

month = dec,

day = "24",

doi = "10.1109/eScience.2018.00049",

language = "English",

pages = "279--280",

booktitle = "Proceedings - IEEE 14th International Conference on eScience, e-Science 2018",

publisher = "IEEE",

address = "United States",

note = "14th IEEE International Conference on eScience, e-Science 2018 ; Conference date: 29-10-2018 Through 01-11-2018",

}

van Haren, R, Koopmans, S, Steeneveld, GJ, Theeuwes, N, Uijlenhoet, R & Holtslag, AAM 2018, Weather reanalysis on an urban scale using WRF. in Proceedings - IEEE 14th International Conference on eScience, e-Science 2018., 8588668, IEEE, pp. 279-280, 14th IEEE International Conference on eScience, e-Science 2018, Amsterdam, Netherlands, 29/10/18. https://doi.org/10.1109/eScience.2018.00049

TY - GEN

T1 - Weather reanalysis on an urban scale using WRF

AU - van Haren, Ronald

AU - Koopmans, Sytse

AU - Steeneveld, Gert Jan

AU - Theeuwes, Natalie

AU - Uijlenhoet, Remko

AU - Holtslag, Albert A.M.

PY - 2018/12/24

Y1 - 2018/12/24

N2 - 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.

AB - 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.

KW - Climate

KW - Data assimilation

KW - Reanalysis

KW - Urban

KW - Workflow

U2 - 10.1109/eScience.2018.00049

DO - 10.1109/eScience.2018.00049

M3 - Conference paper

AN - SCOPUS:85061396301

SP - 279

EP - 280

BT - Proceedings - IEEE 14th International Conference on eScience, e-Science 2018

PB - IEEE

T2 - 14th IEEE International Conference on eScience, e-Science 2018

Y2 - 29 October 2018 through 1 November 2018

ER -

Weather reanalysis on an urban scale using WRF

Abstract

Conference/symposium

UN SDGs

Keywords

Access to Document

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Cite this