The use of serially complete station data to improve the temporal continuity of gridded precipitation and temperature estimates

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A86953" target="_blank" >RIV/60460709:41330/21:86953 - isvavai.cz</a>

Result on the web

<a href="https://journals.ametsoc.org/view/journals/hydr/aop/JHM-D-20-0313.1/JHM-D-20-0313.1.xml?tab_body=abstract-display" target="_blank" >https://journals.ametsoc.org/view/journals/hydr/aop/JHM-D-20-0313.1/JHM-D-20-0313.1.xml?tab_body=abstract-display</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1175/JHM-D-20-0313.1" target="_blank" >10.1175/JHM-D-20-0313.1</a>

Result language

angličtina

Original language name

The use of serially complete station data to improve the temporal continuity of gridded precipitation and temperature estimates

Original language description

Stations are an important source of meteorological data, but often suffer from missing values and short observation periods. Gap filling is widely used to generate serially complete datasets (SCDs), which are subsequently used to produce gridded meteorological estimates. However, the value of SCDs in spatial interpolation is scarcely studied. Based on our recent efforts to develop a SCD over North America (SCDNA), we explore the extent to which gap filling improves gridded precipitation and temperature estimates. We address two specific questions: 1) Can SCDNA improve the statistical accuracy of gridded estimates in North America 2) Can SCDNA improve estimates of trends on gridded data In addressing these questions, we also evaluate the extent to which results depend on the spatial density of the station network and the spatial interpolation methods used. Results show that the improvement in statistical interpolation due to gap filling is more obvious for precipitation, followed by minimum temperatur

Czech name

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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

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OECD FORD branch

10501 - Hydrology

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

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

Name of the periodical

JOURNAL OF HYDROMETEOROLOGY

ISSN

1525-755X

e-ISSN

1525-7541

Volume of the periodical

22

Issue of the periodical within the volume

6

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

16

Pages from-to

1553-1568

UT code for WoS article

000663568900013

EID of the result in the Scopus database

2-s2.0-85110385548