Addressing the relocation bias in a long temperature record by means of land cover assessment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F19%3A00500964" target="_blank" >RIV/67985807:_____/19:00500964 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14310/19:00107722

Result on the web

<a href="http://dx.doi.org/10.1007/s00704-019-02783-2" target="_blank" >http://dx.doi.org/10.1007/s00704-019-02783-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00704-019-02783-2" target="_blank" >10.1007/s00704-019-02783-2</a>

Result language

angličtina

Original language name

Addressing the relocation bias in a long temperature record by means of land cover assessment

Original language description

The meteorological measurements in Brno, Czech Republic, is among the world’s oldest measurements, operating since 1799. Like many others, station was initially installed in the city center, relocated several times, and currently operates at an airport outside the city. These geographical changes potentially bias the temperature record due to different station surroundings and varying degrees of urban heat island effects. Here, we assess the influence of land cover on spatial temperature variations in Brno, capitol of Moravia and the second largest city of the Czech Republic. We therefore use a unique dataset of half-hourly resolved measurements from 11 stations spanning a period of more than 3.5 years and apply this information to reduce relocation biases in the long-term temperature record from 1799 to the present. Regression analysis reveals a significant warming influence from nearby buildings and a cooling influence from vegetation, explaining up to 80% of the spatial variability within our network. The influence is strongest during the warm season and for land cover changes between 300 and 500 m around stations. Relying on historical maps and recent satellite data, it was possible to capture the building densities surrounding the past locations of the meteorological station. Using the previously established land cover–temperature relation, the anthropogenic warming for each measurement site could be quantified and hence eliminated from the temperature record accordingly, thereby increasing the long-term warming trend.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

<a href="/en/project/GA205%2F09%2F1297" target="_blank" >GA205/09/1297: Multilevel analysis of the urban and suburban climate taking medium-sized towns as an example</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Theoretical and Applied Climatology

ISSN

0177-798X

e-ISSN

—

Volume of the periodical

137

Issue of the periodical within the volume

3-4

Country of publishing house

AT - AUSTRIA

Number of pages

11

Pages from-to

2853-2863

UT code for WoS article

000477054700085

EID of the result in the Scopus database

2-s2.0-85060680164