KIT | KIT-Bibliothek | Impressum | Datenschutz

High-resolution drought simulations and comparison to soil moisture observations in Germany

Boeing, Friedrich ; Rakovec, Oldrich; Kumar, Rohini; Samaniego, Luis; Schrön, Martin; Hildebrandt, Anke; Rebmann, Corinna; Thober, Stephan; Müller, Sebastian; Zacharias, Steffen; Bogena, Heye; Schneider, Katrin 1; Kiese, Ralf ORCID iD icon 1; Attinger, Sabine; Marx, Andreas
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Germany's 2018–2020 consecutive drought events resulted in multiple sectors – including agriculture, forestry, water management, energy production, and transport – being impacted. High-resolution information systems are key to preparedness for such extreme drought events. This study evaluates the new setup of the one-kilometer German drought monitor (GDM), which is based on daily soil moisture (SM) simulations from the mesoscale hydrological model (mHM). The simulated SM is compared against a set of diverse observations from single profile measurements, spatially distributed sensor networks, cosmic-ray neutron stations, and lysimeters at 40 sites in Germany. Our results show that the agreement of simulated and observed SM dynamics in the upper soil (0–25 cm) are especially high in the vegetative active period (0.84 median correlation R) and lower in winter (0.59 median R). The lower agreement in winter results from methodological uncertainties in both simulations and observations. Moderate but significant improvements between the coarser 4 km resolution setup and the ≈ 1.2 km resolution GDM in the agreement to observed SM dynamics is observed in autumn (+0.07 median R) and winter (+0.12 median R). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000151893
Veröffentlicht am 25.10.2022
Originalveröffentlichung
DOI: 10.5194/hess-26-5137-2022
Scopus
Zitationen: 12
Web of Science
Zitationen: 12
Dimensions
Zitationen: 17
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1607-7938
KITopen-ID: 1000151893
HGF-Programm 12.11.23 (POF IV, LK 01) Adaptation of managed landscapes to climate change
Erschienen in Hydrology and Earth System Sciences
Verlag Copernicus Publications
Band 26
Heft 19
Seiten 5137–5161
Vorab online veröffentlicht am 12.10.2022
Schlagwörter ray neutron sensors, cosmic-ray, climate change, water fluxes, scale, europe, network, field, quantification, validation
Nachgewiesen in Web of Science
Dimensions
Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page