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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216224:14310/19:00107722

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

<a href="/cs/project/GA205%2F09%2F1297" target="_blank" >GA205/09/1297: Víceúrovňová analýza městského a příměstského klimatu na příkladu středně velkých měst</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Theoretical and Applied Climatology

ISSN

0177-798X

e-ISSN

—

Svazek periodika

137

Číslo periodika v rámci svazku

3-4

Stát vydavatele periodika

AT - Rakouská republika

Počet stran výsledku

11

Strana od-do

2853-2863

Kód UT WoS článku

000477054700085

EID výsledku v databázi Scopus

2-s2.0-85060680164