Loading…

Measured and Modeled Historical Precipitation Trends for Svalbard

Precipitation plays an important role in the Arctic hydrological cycle, affecting different areas like the surface energy budget and the mass balance of glaciers. Thus, accurate measurements of precipitation are crucial for physical process studies, but gauge measurements in the Arctic are sparse an...

Full description

Saved in:
Bibliographic Details
Published in:Journal of hydrometeorology 2020-06, Vol.21 (6), p.1279-1296
Main Authors: Førland, Eirik J., Isaksen, Ketil, Lutz, Julia, Hanssen-Bauer, Inger, Schuler, Thomas Vikhamar, Dobler, Andreas, Gjelten, Herdis M., Vikhamar-Schuler, Dagrun
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c328t-849244a3cbbbf3e3b2653c37a3f05a4c1d6ebc424059589aea403ef0bd57387d3
cites cdi_FETCH-LOGICAL-c328t-849244a3cbbbf3e3b2653c37a3f05a4c1d6ebc424059589aea403ef0bd57387d3
container_end_page 1296
container_issue 6
container_start_page 1279
container_title Journal of hydrometeorology
container_volume 21
creator Førland, Eirik J.
Isaksen, Ketil
Lutz, Julia
Hanssen-Bauer, Inger
Schuler, Thomas Vikhamar
Dobler, Andreas
Gjelten, Herdis M.
Vikhamar-Schuler, Dagrun
description Precipitation plays an important role in the Arctic hydrological cycle, affecting different areas like the surface energy budget and the mass balance of glaciers. Thus, accurate measurements of precipitation are crucial for physical process studies, but gauge measurements in the Arctic are sparse and subject to relocations and several gauge issues. From Svalbard, we analyze precipitation trends at six weather stations for the last 50–100 years by combining different observation series and adjusting for inhomogeneities. For the past 50 years, the measured annual precipitation has increased by 30%–45%. However, precipitation measurements in the cold and windy climate are strongly influenced by gauge undercatch. Correcting for undercatch reduces the trend values by 10% points, since the fraction of solid precipitation has decreased and undercatch is larger for solid precipitation. Thus, precipitation corrected for undercatch should be used to study “true” precipitation trends in the Arctic. Precipitation over Svalbard has been modeled by downscaling reanalysis data to a spatial resolution of 1 km. In general, the modeled annual precipitation is higher (13%–175%) than the measured values and mainly higher than the precipitation corrected for undercatch. Although the model resolves orographic effects on a regional scale, the downscaling is not able to reproduce local orographic enhancement for onshore winds, nor local effects of rain shadow. The downscaled dataset explains approximately 60% of the interannual precipitation variability. The model-based trends during 1979–2018 are positive, but weaker (∼4% decade−1) than the observed (∼8% decade−1) trends.
doi_str_mv 10.1175/JHM-D-19-0252.1
format article
fullrecord <record><control><sourceid>jstor_crist</sourceid><recordid>TN_cdi_cristin_nora_10852_83382</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26967417</jstor_id><sourcerecordid>26967417</sourcerecordid><originalsourceid>FETCH-LOGICAL-c328t-849244a3cbbbf3e3b2653c37a3f05a4c1d6ebc424059589aea403ef0bd57387d3</originalsourceid><addsrcrecordid>eNo9kE1LAzEQhoMoWKtnT-L-gbT53GSPpbVWaVGwgrcw-VhIWXdLsgr-e7dUe5r38LzDzIPQLSUTSpWcPq82eIFphQmTbELP0IhKJrGSgp6fsvy4RFc57wghoqJ6hGabAPkrBV9A64tN50Mz5FXMfZeig6Z4TcHFfeyhj11bbFNofS7qLhVv39BYSP4aXdTQ5HDzN8foffmwna_w-uXxaT5bY8eZ7rEWFRMCuLPW1jxwy0rJHVfAayJBOOrLYJ1ggshK6goCCMJDTayXimvl-RjdH_e6NFwXW9N2CQwlWjKjOddsIKb_RJdzCrXZp_gJ6WegzMGRGRyZhaGVOTgydGjcHRu7w78nnJVVqQRV_Bey3GJj</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Measured and Modeled Historical Precipitation Trends for Svalbard</title><source>NORA - Norwegian Open Research Archives</source><source>JSTOR Archival Journals and Primary Sources Collection</source><creator>Førland, Eirik J. ; Isaksen, Ketil ; Lutz, Julia ; Hanssen-Bauer, Inger ; Schuler, Thomas Vikhamar ; Dobler, Andreas ; Gjelten, Herdis M. ; Vikhamar-Schuler, Dagrun</creator><creatorcontrib>Førland, Eirik J. ; Isaksen, Ketil ; Lutz, Julia ; Hanssen-Bauer, Inger ; Schuler, Thomas Vikhamar ; Dobler, Andreas ; Gjelten, Herdis M. ; Vikhamar-Schuler, Dagrun</creatorcontrib><description>Precipitation plays an important role in the Arctic hydrological cycle, affecting different areas like the surface energy budget and the mass balance of glaciers. Thus, accurate measurements of precipitation are crucial for physical process studies, but gauge measurements in the Arctic are sparse and subject to relocations and several gauge issues. From Svalbard, we analyze precipitation trends at six weather stations for the last 50–100 years by combining different observation series and adjusting for inhomogeneities. For the past 50 years, the measured annual precipitation has increased by 30%–45%. However, precipitation measurements in the cold and windy climate are strongly influenced by gauge undercatch. Correcting for undercatch reduces the trend values by 10% points, since the fraction of solid precipitation has decreased and undercatch is larger for solid precipitation. Thus, precipitation corrected for undercatch should be used to study “true” precipitation trends in the Arctic. Precipitation over Svalbard has been modeled by downscaling reanalysis data to a spatial resolution of 1 km. In general, the modeled annual precipitation is higher (13%–175%) than the measured values and mainly higher than the precipitation corrected for undercatch. Although the model resolves orographic effects on a regional scale, the downscaling is not able to reproduce local orographic enhancement for onshore winds, nor local effects of rain shadow. The downscaled dataset explains approximately 60% of the interannual precipitation variability. The model-based trends during 1979–2018 are positive, but weaker (∼4% decade−1) than the observed (∼8% decade−1) trends.</description><identifier>ISSN: 1525-755X</identifier><identifier>EISSN: 1525-7541</identifier><identifier>DOI: 10.1175/JHM-D-19-0252.1</identifier><language>eng</language><publisher>American Meteorological Society</publisher><ispartof>Journal of hydrometeorology, 2020-06, Vol.21 (6), p.1279-1296</ispartof><rights>2020 American Meteorological Society</rights><rights>info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-849244a3cbbbf3e3b2653c37a3f05a4c1d6ebc424059589aea403ef0bd57387d3</citedby><cites>FETCH-LOGICAL-c328t-849244a3cbbbf3e3b2653c37a3f05a4c1d6ebc424059589aea403ef0bd57387d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26967417$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26967417$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,780,784,885,26566,27923,27924,58237,58470</link.rule.ids></links><search><creatorcontrib>Førland, Eirik J.</creatorcontrib><creatorcontrib>Isaksen, Ketil</creatorcontrib><creatorcontrib>Lutz, Julia</creatorcontrib><creatorcontrib>Hanssen-Bauer, Inger</creatorcontrib><creatorcontrib>Schuler, Thomas Vikhamar</creatorcontrib><creatorcontrib>Dobler, Andreas</creatorcontrib><creatorcontrib>Gjelten, Herdis M.</creatorcontrib><creatorcontrib>Vikhamar-Schuler, Dagrun</creatorcontrib><title>Measured and Modeled Historical Precipitation Trends for Svalbard</title><title>Journal of hydrometeorology</title><description>Precipitation plays an important role in the Arctic hydrological cycle, affecting different areas like the surface energy budget and the mass balance of glaciers. Thus, accurate measurements of precipitation are crucial for physical process studies, but gauge measurements in the Arctic are sparse and subject to relocations and several gauge issues. From Svalbard, we analyze precipitation trends at six weather stations for the last 50–100 years by combining different observation series and adjusting for inhomogeneities. For the past 50 years, the measured annual precipitation has increased by 30%–45%. However, precipitation measurements in the cold and windy climate are strongly influenced by gauge undercatch. Correcting for undercatch reduces the trend values by 10% points, since the fraction of solid precipitation has decreased and undercatch is larger for solid precipitation. Thus, precipitation corrected for undercatch should be used to study “true” precipitation trends in the Arctic. Precipitation over Svalbard has been modeled by downscaling reanalysis data to a spatial resolution of 1 km. In general, the modeled annual precipitation is higher (13%–175%) than the measured values and mainly higher than the precipitation corrected for undercatch. Although the model resolves orographic effects on a regional scale, the downscaling is not able to reproduce local orographic enhancement for onshore winds, nor local effects of rain shadow. The downscaled dataset explains approximately 60% of the interannual precipitation variability. The model-based trends during 1979–2018 are positive, but weaker (∼4% decade−1) than the observed (∼8% decade−1) trends.</description><issn>1525-755X</issn><issn>1525-7541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>3HK</sourceid><recordid>eNo9kE1LAzEQhoMoWKtnT-L-gbT53GSPpbVWaVGwgrcw-VhIWXdLsgr-e7dUe5r38LzDzIPQLSUTSpWcPq82eIFphQmTbELP0IhKJrGSgp6fsvy4RFc57wghoqJ6hGabAPkrBV9A64tN50Mz5FXMfZeig6Z4TcHFfeyhj11bbFNofS7qLhVv39BYSP4aXdTQ5HDzN8foffmwna_w-uXxaT5bY8eZ7rEWFRMCuLPW1jxwy0rJHVfAayJBOOrLYJ1ggshK6goCCMJDTayXimvl-RjdH_e6NFwXW9N2CQwlWjKjOddsIKb_RJdzCrXZp_gJ6WegzMGRGRyZhaGVOTgydGjcHRu7w78nnJVVqQRV_Bey3GJj</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Førland, Eirik J.</creator><creator>Isaksen, Ketil</creator><creator>Lutz, Julia</creator><creator>Hanssen-Bauer, Inger</creator><creator>Schuler, Thomas Vikhamar</creator><creator>Dobler, Andreas</creator><creator>Gjelten, Herdis M.</creator><creator>Vikhamar-Schuler, Dagrun</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3HK</scope></search><sort><creationdate>20200601</creationdate><title>Measured and Modeled Historical Precipitation Trends for Svalbard</title><author>Førland, Eirik J. ; Isaksen, Ketil ; Lutz, Julia ; Hanssen-Bauer, Inger ; Schuler, Thomas Vikhamar ; Dobler, Andreas ; Gjelten, Herdis M. ; Vikhamar-Schuler, Dagrun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-849244a3cbbbf3e3b2653c37a3f05a4c1d6ebc424059589aea403ef0bd57387d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Førland, Eirik J.</creatorcontrib><creatorcontrib>Isaksen, Ketil</creatorcontrib><creatorcontrib>Lutz, Julia</creatorcontrib><creatorcontrib>Hanssen-Bauer, Inger</creatorcontrib><creatorcontrib>Schuler, Thomas Vikhamar</creatorcontrib><creatorcontrib>Dobler, Andreas</creatorcontrib><creatorcontrib>Gjelten, Herdis M.</creatorcontrib><creatorcontrib>Vikhamar-Schuler, Dagrun</creatorcontrib><collection>CrossRef</collection><collection>NORA - Norwegian Open Research Archives</collection><jtitle>Journal of hydrometeorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Førland, Eirik J.</au><au>Isaksen, Ketil</au><au>Lutz, Julia</au><au>Hanssen-Bauer, Inger</au><au>Schuler, Thomas Vikhamar</au><au>Dobler, Andreas</au><au>Gjelten, Herdis M.</au><au>Vikhamar-Schuler, Dagrun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measured and Modeled Historical Precipitation Trends for Svalbard</atitle><jtitle>Journal of hydrometeorology</jtitle><date>2020-06-01</date><risdate>2020</risdate><volume>21</volume><issue>6</issue><spage>1279</spage><epage>1296</epage><pages>1279-1296</pages><issn>1525-755X</issn><eissn>1525-7541</eissn><abstract>Precipitation plays an important role in the Arctic hydrological cycle, affecting different areas like the surface energy budget and the mass balance of glaciers. Thus, accurate measurements of precipitation are crucial for physical process studies, but gauge measurements in the Arctic are sparse and subject to relocations and several gauge issues. From Svalbard, we analyze precipitation trends at six weather stations for the last 50–100 years by combining different observation series and adjusting for inhomogeneities. For the past 50 years, the measured annual precipitation has increased by 30%–45%. However, precipitation measurements in the cold and windy climate are strongly influenced by gauge undercatch. Correcting for undercatch reduces the trend values by 10% points, since the fraction of solid precipitation has decreased and undercatch is larger for solid precipitation. Thus, precipitation corrected for undercatch should be used to study “true” precipitation trends in the Arctic. Precipitation over Svalbard has been modeled by downscaling reanalysis data to a spatial resolution of 1 km. In general, the modeled annual precipitation is higher (13%–175%) than the measured values and mainly higher than the precipitation corrected for undercatch. Although the model resolves orographic effects on a regional scale, the downscaling is not able to reproduce local orographic enhancement for onshore winds, nor local effects of rain shadow. The downscaled dataset explains approximately 60% of the interannual precipitation variability. The model-based trends during 1979–2018 are positive, but weaker (∼4% decade−1) than the observed (∼8% decade−1) trends.</abstract><pub>American Meteorological Society</pub><doi>10.1175/JHM-D-19-0252.1</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1525-755X
ispartof Journal of hydrometeorology, 2020-06, Vol.21 (6), p.1279-1296
issn 1525-755X
1525-7541
language eng
recordid cdi_cristin_nora_10852_83382
source NORA - Norwegian Open Research Archives; JSTOR Archival Journals and Primary Sources Collection
title Measured and Modeled Historical Precipitation Trends for Svalbard
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T03%3A51%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_crist&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Measured%20and%20Modeled%20Historical%20Precipitation%20Trends%20for%20Svalbard&rft.jtitle=Journal%20of%20hydrometeorology&rft.au=F%C3%B8rland,%20Eirik%20J.&rft.date=2020-06-01&rft.volume=21&rft.issue=6&rft.spage=1279&rft.epage=1296&rft.pages=1279-1296&rft.issn=1525-755X&rft.eissn=1525-7541&rft_id=info:doi/10.1175/JHM-D-19-0252.1&rft_dat=%3Cjstor_crist%3E26967417%3C/jstor_crist%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c328t-849244a3cbbbf3e3b2653c37a3f05a4c1d6ebc424059589aea403ef0bd57387d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_jstor_id=26967417&rfr_iscdi=true