Effects of Climatic and Soil Data on Soil Drought Monitoring
Based on Different Modelling Schemes

J 2021

Effects of Climatic and Soil Data on Soil Drought Monitoring Based on Different Modelling Schemes

ŘEHOŘ, Jan; Rudolf BRÁZDIL; Miroslav TRNKA; Milan FISCHER; Jan BALEK et al.

Základní údaje

Originální název

Effects of Climatic and Soil Data on Soil Drought Monitoring Based on Different Modelling Schemes

Autoři

ŘEHOŘ, Jan; Rudolf BRÁZDIL; Miroslav TRNKA; Milan FISCHER; Jan BALEK; Petr ŠTĚPÁNEK; Pavel ZAHRADNÍČEK; Daniela SEMERÁDOVÁ a Monika BLÁHOVÁ

Vydání

Atmosphere, MDPI, 2021, 2073-4433

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10510 Climatic research

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.110

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/21:00121945

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

soil moisture; soil drought; water balance model; soil-drought episode; drought variability; drought trend; Czech Republic; central Europe

Štítky

14315030, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 3. 9. 2021 11:54, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

Satisfactory requirements for the spatial resolution of climate and the influences of soil data in defining the starting points, endings, and the intensities of droughts have become matters of discussion in recent years. The overall inclusiveness of the modelling tools applied is also frequently discussed. In this light, five model setups (MSs) of the daily SoilClim water balance model were developed and tested for the Czech Republic (CR) in the 1961–2020 period. These included two versions of the SoilClim model, two sets of soil data, and two sets of climatic data at different spatial resolutions. MS1–MS4 were based on local, spatially-interpolated data from meteorological stations (500 × 500 m resolution), while MS5 was developed for global drought monitoring, based on the coarser ERA5-Land reanalysis (0.1° × 0.1°). During the 1961–2020 period, all the MSs indicated strong, statistically significant increases in the occurrence of 10th-percentile soil drought in the April–June season; however, trends remained largely non-significant for the remainder of the year. Variations among MS1–MS4 demonstrate that the range of soil property input data affects results to a lesser extent than different modelling schemes. The major simplification of the model grid in MS5 still led to an acceptable conformity of results, while the non-conformities disclosed may be explained by differences between meteorological inputs. Comparison with the Palmer Drought Severity Index (PDSI) confirmed that the SoilClim model depicts the variability of soil drought occurrence in greater detail, while PDSI tends to highlight the most severe events. The discussion arising out of the study centers around model uncertainties and the expression of soil drought episodes in different MSs.

Návaznosti

MUNI/A/1570/2020, interní kód MU

Název: Geografický výzkum dynamiky přírodních a společenských prostorových procesů (Akronym: GEODYN)

Investor: Masarykova univerzita, Geografický výzkum dynamiky přírodních a společenských prostorových procesů

Citovat

ŘEHOŘ, Jan; Rudolf BRÁZDIL; Miroslav TRNKA; Milan FISCHER; Jan BALEK; Petr ŠTĚPÁNEK; Pavel ZAHRADNÍČEK; Daniela SEMERÁDOVÁ a Monika BLÁHOVÁ. Effects of Climatic and Soil Data on Soil Drought Monitoring Based on Different Modelling Schemes. Atmosphere. MDPI, 2021, roč. 12, č. 7, s. "913", 20 s. ISSN 2073-4433. Dostupné z: https://doi.org/10.3390/atmos12070913.

@article{1782969,
   author = {Řehoř, Jan and Brázdil, Rudolf and Trnka, Miroslav and Fischer, Milan and Balek, Jan and Štěpánek, Petr and Zahradníček, Pavel and Semerádová, Daniela and Bláhová, Monika},
   article_number = {7},
   doi = {https://doi.org/10.3390/atmos12070913},
   keywords = {soil moisture; soil drought; water balance model; soil-drought episode; drought variability; drought trend; Czech Republic; central Europe},
   language = {eng},
   issn = {2073-4433},
   journal = {Atmosphere},
   title = {Effects of Climatic and Soil Data on Soil Drought Monitoring Based on Different Modelling Schemes},
   url = {https://doi.org/10.3390/atmos12070913},
   volume = {12},
   year = {2021}
}

TY  - JOUR
ID  - 1782969
AU  - Řehoř, Jan - Brázdil, Rudolf - Trnka, Miroslav - Fischer, Milan - Balek, Jan - Štěpánek, Petr - Zahradníček, Pavel - Semerádová, Daniela - Bláhová, Monika
PY  - 2021
TI  - Effects of Climatic and Soil Data on Soil Drought Monitoring Based on Different Modelling Schemes
JF  - Atmosphere
VL  - 12
IS  - 7
SP  - "913"
EP  - "913"
PB  - MDPI
SN  - 20734433
KW  - soil moisture
KW  - soil drought
KW  - water balance model
KW  - soil-drought episode
KW  - drought variability
KW  - drought trend
KW  - Czech Republic
KW  - central Europe
UR  - https://doi.org/10.3390/atmos12070913
N2  - Satisfactory requirements for the spatial resolution of climate and the influences of soil data in defining the starting points, endings, and the intensities of droughts have become matters of discussion in recent years. The overall inclusiveness of the modelling tools applied is also frequently discussed. In this light, five model setups (MSs) of the daily SoilClim water balance model were developed and tested for the Czech Republic (CR) in the 1961–2020 period. These included two versions of the SoilClim model, two sets of soil data, and two sets of climatic data at different spatial resolutions. MS1–MS4 were based on local, spatially-interpolated data from meteorological stations (500 × 500 m resolution), while MS5 was developed for global drought monitoring, based on the coarser ERA5-Land reanalysis (0.1° × 0.1°). During the 1961–2020 period, all the MSs indicated strong, statistically significant increases in the occurrence of 10th-percentile soil drought in the April–June season; however, trends remained largely non-significant for the remainder of the year. Variations among MS1–MS4 demonstrate that the range of soil property input data affects results to a lesser extent than different modelling schemes. The major simplification of the model grid in MS5 still led to an acceptable conformity of results, while the non-conformities disclosed may be explained by differences between meteorological inputs. Comparison with the Palmer Drought Severity Index (PDSI) confirmed that the SoilClim model depicts the variability of soil drought occurrence in greater detail, while PDSI tends to highlight the most severe events. The discussion arising out of the study centers around model uncertainties and the expression of soil drought episodes in different MSs.
ER  -

ŘEHOŘ, Jan; Rudolf BRÁZDIL; Miroslav TRNKA; Milan FISCHER; Jan BALEK; Petr ŠTĚPÁNEK; Pavel ZAHRADNÍČEK; Daniela SEMERÁDOVÁ a Monika BLÁHOVÁ. Effects of Climatic and Soil Data on Soil Drought Monitoring Based on Different Modelling Schemes. \textit{Atmosphere}. MDPI, 2021, roč.~12, č.~7, s.~''913'', 20 s. ISSN~2073-4433. Dostupné z: https://doi.org/10.3390/atmos12070913.

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