Improving extreme weather forecast through observation data assimilation

Improving extreme weather forecast through observation data assimilation

We investigated the effects of observation data assimilation throughmodel nudging on improving model simulation of the Enhanced Southwest monsoon(SWM) event in 2013 over Metro Manila using the Weather Research and Forecasting(WRF) model. The impact of clo

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Bibliographic Details
Main Author: LYNDON MARK, OLAGUERA
Format: text
Published: Archīum Ateneo 2015
Subjects:
Weather forecasting > Philippines > Data processing
Cloud physics > Mathematical models
Atmospheric physics > Mathematical models > Data processing
Microphysics
Online Access:https://archium.ateneo.edu/theses-dissertations/274
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Institution: Ateneo De Manila University
id ph-ateneo-arc.theses-dissertations-1400
record_format eprints
spelling ph-ateneo-arc.theses-dissertations-14002021-04-11T05:42:03Z Improving extreme weather forecast through observation data assimilation LYNDON MARK, OLAGUERA We investigated the effects of observation data assimilation throughmodel nudging on improving model simulation of the Enhanced Southwest monsoon(SWM) event in 2013 over Metro Manila using the Weather Research and Forecasting(WRF) model. The impact of clo 2015-01-01T08:00:00Z text https://archium.ateneo.edu/theses-dissertations/274 Theses and Dissertations (All) Archīum Ateneo Weather forecasting -- Philippines -- Data processing Cloud physics -- Mathematical models Atmospheric physics -- Mathematical models -- Data processing Microphysics
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Weather forecasting -- Philippines -- Data processing
Cloud physics -- Mathematical models
Atmospheric physics -- Mathematical models -- Data processing
Microphysics
spellingShingle Weather forecasting -- Philippines -- Data processing
Cloud physics -- Mathematical models
Atmospheric physics -- Mathematical models -- Data processing
Microphysics
LYNDON MARK, OLAGUERA
Improving extreme weather forecast through observation data assimilation
description We investigated the effects of observation data assimilation throughmodel nudging on improving model simulation of the Enhanced Southwest monsoon(SWM) event in 2013 over Metro Manila using the Weather Research and Forecasting(WRF) model. The impact of clo
format text
author LYNDON MARK, OLAGUERA
author_facet LYNDON MARK, OLAGUERA
author_sort LYNDON MARK, OLAGUERA
title Improving extreme weather forecast through observation data assimilation
title_short Improving extreme weather forecast through observation data assimilation
title_full Improving extreme weather forecast through observation data assimilation
title_fullStr Improving extreme weather forecast through observation data assimilation
title_full_unstemmed Improving extreme weather forecast through observation data assimilation
title_sort improving extreme weather forecast through observation data assimilation
publisher Archīum Ateneo
publishDate 2015
url https://archium.ateneo.edu/theses-dissertations/274
_version_ 1712577822206197760

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