Effects of Different Spatial Precipitation Input Data on Crop Model Outputs under a Central European Climate

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F18%3A00495987" target="_blank" >RIV/86652079:_____/18:00495987 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3390/atmos9080290" target="_blank" >http://dx.doi.org/10.3390/atmos9080290</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/atmos9080290" target="_blank" >10.3390/atmos9080290</a>

Result language

angličtina

Original language name

Effects of Different Spatial Precipitation Input Data on Crop Model Outputs under a Central European Climate

Original language description

Crop simulation models, which are mainly being utilized as tools to assess the consequences of a changing climate and different management strategies on crop production at the field scale, are increasingly being used in a distributed model at the regional scale. Spatial data analysis and modelling in combination with geographic information systems (GIS) integrates information from soil, climate, and topography data into a larger area, providing a basis for spatial and temporal analysis. In the current study, the crop growth model Decision Support System for Agrotechnology Transfer (DSSAT) was used to evaluate five gridded precipitation input data at three locations in Austria. The precipitation data sets consist of the INtegrated Calibration and Application Tool (INCA) from the Meteorological Service Austria, two satellite precipitation data sources-Multisatellite Precipitation Analysis (TMPA) and Climate Prediction Center MORPHing (CMORPH)-and two rainfall estimates based on satellite soil moisture data. The latter were obtained through the application of the SM2RAIN algorithm (SM2RASC) and a regression analysis (RAASC) applied to the Metop-A/B Advanced SCATtermonter (ASCAT) soil moisture product during a 9-year period from 2007-2015. For the evaluation, the effect on winter wheat and spring barley yield, caused by different precipitation inputs, at a spatial resolution of around 25 km was used. The highest variance was obtained for the driest area with light-textured soils, TMPA and two soil moisture-based products show very good results in the more humid areas. The poorest performances at all three locations and for both crops were found with the CMORPH input data.

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

10511 - Environmental sciences (social aspects to be 5.7)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

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

Name of the periodical

Atmosphere

ISSN

2073-4433

e-ISSN

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Volume of the periodical

9

Issue of the periodical within the volume

8

Country of publishing house

CH - SWITZERLAND

Number of pages

25

Pages from-to

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UT code for WoS article

000443247300004

EID of the result in the Scopus database

2-s2.0-85054931375