Gridded Versus Station Temperatures: Time Evolution of Relationships With Atmospheric Circulation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F20%3A00538245" target="_blank" >RIV/68378289:_____/20:00538245 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11310/20:10417092

Výsledek na webu

<a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020JD033254" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020JD033254</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1029/2020JD033254" target="_blank" >10.1029/2020JD033254</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Gridded Versus Station Temperatures: Time Evolution of Relationships With Atmospheric Circulation

Popis výsledku v původním jazyce

Interpolated data sets are often considered to be a reliable source of information on a variety of meteorological variables, such as temperature and precipitation. Users expect the interpolated data to be rather similar to those directly observed at stations, which is not always true: well documented is the influence of interpolation on, e.g., extremes. Here another kind of discrepancy between gridpoints and station observations is presented: the time evolution of relationships between temperature and atmospheric circulation. One of the most widely utilized gridded temperature data sets, CRU TS (Climatic Research Unit gridded Time Series), is compared with 634 station time series from GHCN (Global Historical Climatology Network) in the Northern Extratropics. We analyze running correlations (calculated for 15-year windows) of monthly values between modes of atmospheric circulation variability (identified in the ERA-40 reanalysis) and temperature anomalies in winter from 1957 to 2002. The smallest differences in the running correlations are found in Europe and North America due to a dense station network. On the other hand, the sites with considerable differences are located mainly in mountainous regions or in isolated locations. In order to uncover causes of these differences, we analyze two sites in more detail. Mike (the North Sea) is an isolated site where the gridpoint temperature is affected by rather distant Scandinavian stations. At Songpan (central China: 2,852 m a.s.l), the terrain configuration in mountainous region influences the gridpoint value, in which the effect of stations with much lower altitude and different climate conditions is dominant.

Název v anglickém jazyce

Gridded Versus Station Temperatures: Time Evolution of Relationships With Atmospheric Circulation

Popis výsledku anglicky

Interpolated data sets are often considered to be a reliable source of information on a variety of meteorological variables, such as temperature and precipitation. Users expect the interpolated data to be rather similar to those directly observed at stations, which is not always true: well documented is the influence of interpolation on, e.g., extremes. Here another kind of discrepancy between gridpoints and station observations is presented: the time evolution of relationships between temperature and atmospheric circulation. One of the most widely utilized gridded temperature data sets, CRU TS (Climatic Research Unit gridded Time Series), is compared with 634 station time series from GHCN (Global Historical Climatology Network) in the Northern Extratropics. We analyze running correlations (calculated for 15-year windows) of monthly values between modes of atmospheric circulation variability (identified in the ERA-40 reanalysis) and temperature anomalies in winter from 1957 to 2002. The smallest differences in the running correlations are found in Europe and North America due to a dense station network. On the other hand, the sites with considerable differences are located mainly in mountainous regions or in isolated locations. In order to uncover causes of these differences, we analyze two sites in more detail. Mike (the North Sea) is an isolated site where the gridpoint temperature is affected by rather distant Scandinavian stations. At Songpan (central China: 2,852 m a.s.l), the terrain configuration in mountainous region influences the gridpoint value, in which the effect of stations with much lower altitude and different climate conditions is dominant.

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/GA17-07043S" target="_blank" >GA17-07043S: Dálkové vazby - hlavní stavební kameny atmosférické cirkulace</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Journal of Geophysical Research: Atmospheres

ISSN

2169-897X

e-ISSN

—

Svazek periodika

125

Číslo periodika v rámci svazku

20

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

17

Strana od-do

e2020JD033254

Kód UT WoS článku

000588398800016

EID výsledku v databázi Scopus

2-s2.0-85094137836