No Cover Image

Journal article 1050 views 132 downloads

European warm-season temperature and hydroclimate since 850 CE

Fredrik Charpentier Ljungqvist, Andrea Seim, Paul J Krusic, Jesús Fidel González-Rouco, Johannes P Werner, Edward R Cook, Eduardo Zorita, Jürg Luterbacher, Elena Xoplaki, Georgia Destouni, Elena García-Bustamante, Camilo Andrés Melo Aguilar, Kristina Seftigen, Jianglin Wang, Mary Gagen Orcid Logo, Jan Esper, Olga Solomina, Dominik Fleitmann, Ulf Büntgen

Environmental Research Letters, Volume: 14, Issue: 8, Start page: 084015

Swansea University Author: Mary Gagen Orcid Logo

  • 50763v2.pdf

    PDF | Version of Record

    Released under the terms of a Creative Commons Attribution 3.0 licence (CC-BY).

    Download (4.8MB)

Check full text

DOI (Published version): 10.1088/1748-9326/ab2c7e

Abstract

The long-term relationship between temperature and rainfall variables (hydroclimate) remains uncertain due to the short length of instrumental measurements and inconsistent results from climate model simulations. This lack of understanding is critical with regard to projecting future drought and flo...

Full description

Published in: Environmental Research Letters
ISSN: 1748-9326
Published: IOP Publishing 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa50763
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2019-06-17T20:52:15Z
last_indexed 2020-10-20T03:01:15Z
id cronfa50763
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-10-19T19:07:17.4874123</datestamp><bib-version>v2</bib-version><id>50763</id><entry>2019-06-07</entry><title>European warm-season temperature and hydroclimate since 850 CE</title><swanseaauthors><author><sid>e677a6d0777aed90ac1eca8937e43d2b</sid><ORCID>0000-0002-6820-6457</ORCID><firstname>Mary</firstname><surname>Gagen</surname><name>Mary Gagen</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-06-07</date><deptcode>SGE</deptcode><abstract>The long-term relationship between temperature and rainfall variables (hydroclimate) remains uncertain due to the short length of instrumental measurements and inconsistent results from climate model simulations. This lack of understanding is critical with regard to projecting future drought and flood risks. Here we assess northern Hemisphere summertime co-variability patterns between temperature and rainfall, over Europe back to 850 CE using instrumental measurements, tree-ring reconstructions, and climate model simulations. We find the temperature&#x2013;hydroclimate relationship, in both the instrumental and proxt data to be more positive at lower frequencies, but less so in model simulations. In comp[arison to instrumental climate data, climate model simulations reveal a more negative co-variability between temperature and hydroclimate, across all timescales both lower and higher frequency. The reconstructions exhibit more positive co-variability. Despite observed differences in the temperature&#x2013;hydroclimate co-variability patterns in instrumental, reconstructed and model simulated data, all data types share similar phase-relationships between temperature and hydroclimate, all of which indicate the common influence of external forcing of the climate system. The co-variability between temperature and soil moisture in the model simulations is overestimated, implying a possible overestimation of temperature-driven future drought risks.</abstract><type>Journal Article</type><journal>Environmental Research Letters</journal><volume>14</volume><journalNumber>8</journalNumber><paginationStart>084015</paginationStart><publisher>IOP Publishing</publisher><issnElectronic>1748-9326</issnElectronic><keywords>climate variability, hydroclimate, climate model simulations, tree-ring data, gridded climate reconstructions, Europe, past millennium</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-12-31</publishedDate><doi>10.1088/1748-9326/ab2c7e</doi><url/><notes/><college>COLLEGE NANME</college><department>Geography</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SGE</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-10-19T19:07:17.4874123</lastEdited><Created>2019-06-07T19:49:29.3105091</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Geography</level></path><authors><author><firstname>Fredrik Charpentier</firstname><surname>Ljungqvist</surname><order>1</order></author><author><firstname>Andrea</firstname><surname>Seim</surname><order>2</order></author><author><firstname>Paul J</firstname><surname>Krusic</surname><order>3</order></author><author><firstname>Jes&#xFA;s Fidel</firstname><surname>Gonz&#xE1;lez-Rouco</surname><order>4</order></author><author><firstname>Johannes P</firstname><surname>Werner</surname><order>5</order></author><author><firstname>Edward R</firstname><surname>Cook</surname><order>6</order></author><author><firstname>Eduardo</firstname><surname>Zorita</surname><order>7</order></author><author><firstname>J&#xFC;rg</firstname><surname>Luterbacher</surname><order>8</order></author><author><firstname>Elena</firstname><surname>Xoplaki</surname><order>9</order></author><author><firstname>Georgia</firstname><surname>Destouni</surname><order>10</order></author><author><firstname>Elena</firstname><surname>Garc&#xED;a-Bustamante</surname><order>11</order></author><author><firstname>Camilo Andr&#xE9;s Melo</firstname><surname>Aguilar</surname><order>12</order></author><author><firstname>Kristina</firstname><surname>Seftigen</surname><order>13</order></author><author><firstname>Jianglin</firstname><surname>Wang</surname><order>14</order></author><author><firstname>Mary</firstname><surname>Gagen</surname><orcid>0000-0002-6820-6457</orcid><order>15</order></author><author><firstname>Jan</firstname><surname>Esper</surname><order>16</order></author><author><firstname>Olga</firstname><surname>Solomina</surname><order>17</order></author><author><firstname>Dominik</firstname><surname>Fleitmann</surname><order>18</order></author><author><firstname>Ulf</firstname><surname>B&#xFC;ntgen</surname><order>19</order></author></authors><documents><document><filename>0050763-13082019095555.pdf</filename><originalFilename>50763v2.pdf</originalFilename><uploaded>2019-08-13T09:55:55.8970000</uploaded><type>Output</type><contentLength>5165335</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-08-12T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution 3.0 licence (CC-BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2020-10-19T19:07:17.4874123 v2 50763 2019-06-07 European warm-season temperature and hydroclimate since 850 CE e677a6d0777aed90ac1eca8937e43d2b 0000-0002-6820-6457 Mary Gagen Mary Gagen true false 2019-06-07 SGE The long-term relationship between temperature and rainfall variables (hydroclimate) remains uncertain due to the short length of instrumental measurements and inconsistent results from climate model simulations. This lack of understanding is critical with regard to projecting future drought and flood risks. Here we assess northern Hemisphere summertime co-variability patterns between temperature and rainfall, over Europe back to 850 CE using instrumental measurements, tree-ring reconstructions, and climate model simulations. We find the temperature–hydroclimate relationship, in both the instrumental and proxt data to be more positive at lower frequencies, but less so in model simulations. In comp[arison to instrumental climate data, climate model simulations reveal a more negative co-variability between temperature and hydroclimate, across all timescales both lower and higher frequency. The reconstructions exhibit more positive co-variability. Despite observed differences in the temperature–hydroclimate co-variability patterns in instrumental, reconstructed and model simulated data, all data types share similar phase-relationships between temperature and hydroclimate, all of which indicate the common influence of external forcing of the climate system. The co-variability between temperature and soil moisture in the model simulations is overestimated, implying a possible overestimation of temperature-driven future drought risks. Journal Article Environmental Research Letters 14 8 084015 IOP Publishing 1748-9326 climate variability, hydroclimate, climate model simulations, tree-ring data, gridded climate reconstructions, Europe, past millennium 31 12 2019 2019-12-31 10.1088/1748-9326/ab2c7e COLLEGE NANME Geography COLLEGE CODE SGE Swansea University 2020-10-19T19:07:17.4874123 2019-06-07T19:49:29.3105091 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Fredrik Charpentier Ljungqvist 1 Andrea Seim 2 Paul J Krusic 3 Jesús Fidel González-Rouco 4 Johannes P Werner 5 Edward R Cook 6 Eduardo Zorita 7 Jürg Luterbacher 8 Elena Xoplaki 9 Georgia Destouni 10 Elena García-Bustamante 11 Camilo Andrés Melo Aguilar 12 Kristina Seftigen 13 Jianglin Wang 14 Mary Gagen 0000-0002-6820-6457 15 Jan Esper 16 Olga Solomina 17 Dominik Fleitmann 18 Ulf Büntgen 19 0050763-13082019095555.pdf 50763v2.pdf 2019-08-13T09:55:55.8970000 Output 5165335 application/pdf Version of Record true 2019-08-12T00:00:00.0000000 Released under the terms of a Creative Commons Attribution 3.0 licence (CC-BY). true eng
title European warm-season temperature and hydroclimate since 850 CE
spellingShingle European warm-season temperature and hydroclimate since 850 CE
Mary Gagen
title_short European warm-season temperature and hydroclimate since 850 CE
title_full European warm-season temperature and hydroclimate since 850 CE
title_fullStr European warm-season temperature and hydroclimate since 850 CE
title_full_unstemmed European warm-season temperature and hydroclimate since 850 CE
title_sort European warm-season temperature and hydroclimate since 850 CE
author_id_str_mv e677a6d0777aed90ac1eca8937e43d2b
author_id_fullname_str_mv e677a6d0777aed90ac1eca8937e43d2b_***_Mary Gagen
author Mary Gagen
author2 Fredrik Charpentier Ljungqvist
Andrea Seim
Paul J Krusic
Jesús Fidel González-Rouco
Johannes P Werner
Edward R Cook
Eduardo Zorita
Jürg Luterbacher
Elena Xoplaki
Georgia Destouni
Elena García-Bustamante
Camilo Andrés Melo Aguilar
Kristina Seftigen
Jianglin Wang
Mary Gagen
Jan Esper
Olga Solomina
Dominik Fleitmann
Ulf Büntgen
format Journal article
container_title Environmental Research Letters
container_volume 14
container_issue 8
container_start_page 084015
publishDate 2019
institution Swansea University
issn 1748-9326
doi_str_mv 10.1088/1748-9326/ab2c7e
publisher IOP Publishing
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
document_store_str 1
active_str 0
description The long-term relationship between temperature and rainfall variables (hydroclimate) remains uncertain due to the short length of instrumental measurements and inconsistent results from climate model simulations. This lack of understanding is critical with regard to projecting future drought and flood risks. Here we assess northern Hemisphere summertime co-variability patterns between temperature and rainfall, over Europe back to 850 CE using instrumental measurements, tree-ring reconstructions, and climate model simulations. We find the temperature–hydroclimate relationship, in both the instrumental and proxt data to be more positive at lower frequencies, but less so in model simulations. In comp[arison to instrumental climate data, climate model simulations reveal a more negative co-variability between temperature and hydroclimate, across all timescales both lower and higher frequency. The reconstructions exhibit more positive co-variability. Despite observed differences in the temperature–hydroclimate co-variability patterns in instrumental, reconstructed and model simulated data, all data types share similar phase-relationships between temperature and hydroclimate, all of which indicate the common influence of external forcing of the climate system. The co-variability between temperature and soil moisture in the model simulations is overestimated, implying a possible overestimation of temperature-driven future drought risks.
published_date 2019-12-31T04:02:22Z
_version_ 1763753216449708032
score 11.035634

Similar Items