Sensitivity of Spring Phenology Simulations to the Selection of Model Structure and Driving Meteorological Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F21%3A85584" target="_blank" >RIV/60460709:41320/21:85584 - isvavai.cz</a>

Výsledek na webu

<a href="http://doi.org/10.3390/atmos12080963" target="_blank" >http://doi.org/10.3390/atmos12080963</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/atmos12080963" target="_blank" >10.3390/atmos12080963</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Sensitivity of Spring Phenology Simulations to the Selection of Model Structure and Driving Meteorological Data

Popis výsledku v původním jazyce

Accurate estimation of the timing of intensive spring leaf growth initiation at mid and high latitudes is crucial for improving the predictive capacity of biogeochemical and Earth system models. In this study, we focus on the modeling of climatological onset of spring leaf growth in Central Europe and use three spring phenology models driven by three meteorological datasets. The MODIS-adjusted NDVI3g dataset was used as a reference for the period between 1982 and 2010, enabling us to study the long-term mean leaf onset timing and its interannual variability IAV. The performance of all phenology model-meteorology database combinations was evaluated with one another, and against the reference dataset. We found that none of the constructed model-database combinations could reproduce the observed start of season SOS climatology within the study region. The models typically overestimated IAV of the leaf onset, where spatial median SOS dates were best simulated by the models based on heat accumulation. Whe

Název v anglickém jazyce

Sensitivity of Spring Phenology Simulations to the Selection of Model Structure and Driving Meteorological Data

Popis výsledku anglicky

Accurate estimation of the timing of intensive spring leaf growth initiation at mid and high latitudes is crucial for improving the predictive capacity of biogeochemical and Earth system models. In this study, we focus on the modeling of climatological onset of spring leaf growth in Central Europe and use three spring phenology models driven by three meteorological datasets. The MODIS-adjusted NDVI3g dataset was used as a reference for the period between 1982 and 2010, enabling us to study the long-term mean leaf onset timing and its interannual variability IAV. The performance of all phenology model-meteorology database combinations was evaluated with one another, and against the reference dataset. We found that none of the constructed model-database combinations could reproduce the observed start of season SOS climatology within the study region. The models typically overestimated IAV of the leaf onset, where spatial median SOS dates were best simulated by the models based on heat accumulation. Whe

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10510 - Climatic research

Projekt

<a href="/cs/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Excelentní Výzkum jako podpora Adaptace lesnictví a dřevařství na globální změnu a 4. průmyslovou revoluci</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Atmosphere

ISSN

2073-4433

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

20

Strana od-do

1-20

Kód UT WoS článku

000688832800001

EID výsledku v databázi Scopus

2-s2.0-85112663670