Heavy Rain Events in Svalbard Summer and Autumn of 2016 to 2018

Heavy rain events in the Arctic archipelago Svalbard can have a high impact on nature and settlements, and are predicted to become more frequent and intense in the coming decades. This thesis work focuses on heavy rain events ( > 10 mm/24 hr) in summer and autumn season of 2016, 2017 and 2018. He...

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Main Author: Aashamar, Ola Bakke
Format: Master Thesis
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10852/70952
http://urn.nb.no/URN:NBN:no-74073
id ftoslouniv:oai:www.duo.uio.no:10852/70952
record_format openpolar
spelling ftoslouniv:oai:www.duo.uio.no:10852/70952 2023-05-15T13:05:48+02:00 Heavy Rain Events in Svalbard Summer and Autumn of 2016 to 2018 Aashamar, Ola Bakke 2019 http://hdl.handle.net/10852/70952 http://urn.nb.no/URN:NBN:no-74073 eng eng http://urn.nb.no/URN:NBN:no-74073 Aashamar, Ola Bakke. Heavy Rain Events in Svalbard Summer and Autumn of 2016 to 2018. Master thesis, University of Oslo, 2019 http://hdl.handle.net/10852/70952 URN:NBN:no-74073 Fulltext https://www.duo.uio.no/bitstream/handle/10852/70952/5/MasterThesis_OlaBAa_Final.pdf AROME Arctic Field Campaign Meteorological observations Precipiation Model evaluation Tempelfjorden Heavy Rain Event Svalbard Master thesis Masteroppgave 2019 ftoslouniv 2020-06-21T08:53:52Z Heavy rain events in the Arctic archipelago Svalbard can have a high impact on nature and settlements, and are predicted to become more frequent and intense in the coming decades. This thesis work focuses on heavy rain events ( > 10 mm/24 hr) in summer and autumn season of 2016, 2017 and 2018. Heavy rain events in this period were found to be most common during southwesterly synoptic air flow over the archipelago. By comparing observations of heavy rain events with precipitation forecasts from the operational weather models AROME Arctic and ECMWF IFS HRES, the ability of AROME Arctic to predict such heavy rain events is evaluated. Both models are found to underestimate heavy rain events for the West-Coast stations Hornsund, Isfjord Radio and Ny-Ålesund, while for Longyearbyen there is a slight overestimation. By evaluating precipitation metrics from a model grid point box, spanning a larger area around the stations, the mean error and mean absolute error are substantially lowered. To complement the measurements from official MET stations measuring precipitation in Svalbard, six additional automatic weather stations with precipitation instruments were built and set up in the remote Tempelfjorden area, and around Longyearbyen, in the summer and autumn of 2018. The results from the field campaign show that it is possible to make reasonable measurements of heavy rain events in Svalbard from a relatively low-cost field campaign. In the observation period, the field campaign rain gauges measured one heavy rain event (19. August 2018 - 13 mm) with a maximum hourly intensity of 5 mm/hr. Additionally, a positive precipitation gradient of ~10 % per 100 m elevation was calculated based on field campaign observations. In Tempelfjorden, there seems to be a relation between the direction of large scale synoptic air flow, and when the model is underestimating or overestimating precipitation. Through the field period a persistent undercatchement was found for the official precipitation instrument in Adventdalen, the Geonor-T200B, when compared with field campaign measurements. Master Thesis Adventdalen Arctic Archipelago Arctic Hornsund Isfjord* Longyearbyen Ny Ålesund Ny-Ålesund Svalbard Tempelfjord* Tempelfjorden Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Adventdalen ENVELOPE(16.264,16.264,78.181,78.181) Arctic Hornsund ENVELOPE(15.865,15.865,76.979,76.979) Isfjord ENVELOPE(-26.917,-26.917,73.333,73.333) Longyearbyen Ny-Ålesund Svalbard Tempelfjorden ENVELOPE(17.076,17.076,78.404,78.404)
institution Open Polar
collection Universitet i Oslo: Digitale utgivelser ved UiO (DUO)
op_collection_id ftoslouniv
language English
topic AROME Arctic
Field Campaign
Meteorological observations
Precipiation
Model evaluation
Tempelfjorden
Heavy Rain Event
Svalbard
spellingShingle AROME Arctic
Field Campaign
Meteorological observations
Precipiation
Model evaluation
Tempelfjorden
Heavy Rain Event
Svalbard
Aashamar, Ola Bakke
Heavy Rain Events in Svalbard Summer and Autumn of 2016 to 2018
topic_facet AROME Arctic
Field Campaign
Meteorological observations
Precipiation
Model evaluation
Tempelfjorden
Heavy Rain Event
Svalbard
description Heavy rain events in the Arctic archipelago Svalbard can have a high impact on nature and settlements, and are predicted to become more frequent and intense in the coming decades. This thesis work focuses on heavy rain events ( > 10 mm/24 hr) in summer and autumn season of 2016, 2017 and 2018. Heavy rain events in this period were found to be most common during southwesterly synoptic air flow over the archipelago. By comparing observations of heavy rain events with precipitation forecasts from the operational weather models AROME Arctic and ECMWF IFS HRES, the ability of AROME Arctic to predict such heavy rain events is evaluated. Both models are found to underestimate heavy rain events for the West-Coast stations Hornsund, Isfjord Radio and Ny-Ålesund, while for Longyearbyen there is a slight overestimation. By evaluating precipitation metrics from a model grid point box, spanning a larger area around the stations, the mean error and mean absolute error are substantially lowered. To complement the measurements from official MET stations measuring precipitation in Svalbard, six additional automatic weather stations with precipitation instruments were built and set up in the remote Tempelfjorden area, and around Longyearbyen, in the summer and autumn of 2018. The results from the field campaign show that it is possible to make reasonable measurements of heavy rain events in Svalbard from a relatively low-cost field campaign. In the observation period, the field campaign rain gauges measured one heavy rain event (19. August 2018 - 13 mm) with a maximum hourly intensity of 5 mm/hr. Additionally, a positive precipitation gradient of ~10 % per 100 m elevation was calculated based on field campaign observations. In Tempelfjorden, there seems to be a relation between the direction of large scale synoptic air flow, and when the model is underestimating or overestimating precipitation. Through the field period a persistent undercatchement was found for the official precipitation instrument in Adventdalen, the Geonor-T200B, when compared with field campaign measurements.
format Master Thesis
author Aashamar, Ola Bakke
author_facet Aashamar, Ola Bakke
author_sort Aashamar, Ola Bakke
title Heavy Rain Events in Svalbard Summer and Autumn of 2016 to 2018
title_short Heavy Rain Events in Svalbard Summer and Autumn of 2016 to 2018
title_full Heavy Rain Events in Svalbard Summer and Autumn of 2016 to 2018
title_fullStr Heavy Rain Events in Svalbard Summer and Autumn of 2016 to 2018
title_full_unstemmed Heavy Rain Events in Svalbard Summer and Autumn of 2016 to 2018
title_sort heavy rain events in svalbard summer and autumn of 2016 to 2018
publishDate 2019
url http://hdl.handle.net/10852/70952
http://urn.nb.no/URN:NBN:no-74073
long_lat ENVELOPE(16.264,16.264,78.181,78.181)
ENVELOPE(15.865,15.865,76.979,76.979)
ENVELOPE(-26.917,-26.917,73.333,73.333)
ENVELOPE(17.076,17.076,78.404,78.404)
geographic Adventdalen
Arctic
Hornsund
Isfjord
Longyearbyen
Ny-Ålesund
Svalbard
Tempelfjorden
geographic_facet Adventdalen
Arctic
Hornsund
Isfjord
Longyearbyen
Ny-Ålesund
Svalbard
Tempelfjorden
genre Adventdalen
Arctic Archipelago
Arctic
Hornsund
Isfjord*
Longyearbyen
Ny Ålesund
Ny-Ålesund
Svalbard
Tempelfjord*
Tempelfjorden
genre_facet Adventdalen
Arctic Archipelago
Arctic
Hornsund
Isfjord*
Longyearbyen
Ny Ålesund
Ny-Ålesund
Svalbard
Tempelfjord*
Tempelfjorden
op_relation http://urn.nb.no/URN:NBN:no-74073
Aashamar, Ola Bakke. Heavy Rain Events in Svalbard Summer and Autumn of 2016 to 2018. Master thesis, University of Oslo, 2019
http://hdl.handle.net/10852/70952
URN:NBN:no-74073
Fulltext https://www.duo.uio.no/bitstream/handle/10852/70952/5/MasterThesis_OlaBAa_Final.pdf
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