[HICAM] climate projection; monthly SMI 1971-2098 in depth 0-30cm, full ensemble (88 members) cdf 1971 -2020, mHM, DE domain 0 14922

Projekt
POF3 - T53 - From models to predictions - HICAM
Beschreibung
Back up of the monthly Soil Moisture Index (SMI) simulated with mHM (https://mhm-ufz.org/) based on soil water content (SWC) in depth 0-30 cm at 0.015625deg spatial resolution, monthly time step 1971 -2098, using spatially diasaggregated and bias-adjusted simulations from EURO-CORDEX (Jacob et al, 2014) and Reklies-DE climate (Bülow et al, 2019). Further information on the SMI is found in Samaniego et al (2013) and the code in Samaniego et al (2022). The cumulative distribution function (cdf) of soil moisture (SM) for the SMI was calculated on the period 1971 -2020.

The look up table containing for the simulations and rejections of simulations due to quality controls are found in the separate data entry here: doi.org/10.48758/ufz.15153


Methodology and Dataset are presented in (non ISI listed):

Marx, A., Rakovec, O., Boeing, F., Kelbling M., Thober S., Müller S., Samaniego, L. (2022). Towards high-resolution multi-model climate-hydrology indicators for Germany. In: Helmholtz Climate Initiative. Final report. https://www.helmholtz-klima.de/projekte/veroeffentlichungen

Samaniego, L., Remke, T., Kevin S., Boeing, F., Rakovec, O., Marx, A., Thober. S. Müller, S. (2022). High-resolution bias-adjusted and disaggregated climate simulation ensemble. In: Helmholtz Climate Initiative. Final report. https://www.helmholtz-klima.de/projekte/veroeffentlichungen


References:

Samaniego, L., Kumar, R., & Zink, M. (2013). Implications of Parameter Uncertainty on Soil Moisture Drought Analysis in Germany. In Journal of Hydrometeorology (Vol. 14, Issue 1, pp. 47–68). American Meteorological Society. [https://doi.org/10.1175/jhm-d-12-075.1](https://doi.org/10.1175/jhm-d-12-075.1)

Samaniego, L., Kumar, R., Zink, M., Mai, J., Boeing, F., Shrestha, P.-K., Kaluza, M., Schäfer, D., and Thober, S.: The Soil Moisture Index – SMI program (2.0.5), Zenodo [code], https://doi.org/10.5281/zenodo.5842486, 2022.

mHM: The mesoscale Hydrological Model, GitHub [code], https: //github.com/mhm-ufz,

Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B., Bouwer, L. M., ... , Yiou, P. (2014, April). EURO-CORDEX: new high-resolution climate change projections for European impact research. Regional Environmental Change, 14 (2), 563–578. Retrieved 2022-08-23, from http://link.springer.com/79410.1007/s10113-013-0499-2 doi: 10.1007/s10113-013-0499-2

Bülow, K., Huebener, H., Keuler, K., Menz, C., Pfeifer, S., Ramthun, H., Spekat, A., Steger, C., Teichmann, C., & Warrach-Sagi, K. (2019). User tailored results of a regional climate model ensemble to plan adaption to the changing climate in Germany. In Advances in Science and Research (Vol. 16, pp. 241–249). Copernicus GmbH. https://doi.org/10.5194/asr-16-241-2019


Acknowledgments:


Parts of the work were conducted under the Helmholtz-Climate-Initiative (HI-CAM), which is funded by the Helmholtz Associations Initiative and Networking Fund. We express our gratitude for valuable cooperation during the HI-CAM project with Kevin Sieck (GERICS - Climate Service Center Germany) and Thomas Remke (formerly GERICS). We acknowledge the EURO-CORDEX community for making their RCM simulation results publicly available. The EURO-CORDEX initiative (https://euro-cordex.net) is a voluntary effort of many of the leading and most active institutions in the field of regional climate research in Europe. We also acknowledge the ReKliEs-De project (http://reklies.hlnug.de), funded by BMBF, for making their RCM simulation results publicly available. Also, we thank the UFZ high performance computing system EVE and their administrators, in particular Ben Langenberg, Toni Harzendorf, Christian Krause and Conrad Ostertag for their support in scientific computation. The authors are responsible for the content of this publication.
DOI
https://doi.org/10.48758/ufz.14922
Zitiervorschlag (APA)
Schlaak, J., Boeing, F., Rakovec, O., Samaniego-Eguiguren, L., Thober, S., & Marx, A. (2024). [HICAM] climate projection; monthly SMI 1971-2098 in depth 0-30cm, full ensemble (88 members) cdf 1971 -2020, mHM, DE domain [Data set]. Helmholtz-Zentrum für Umweltforschung. https://doi.org/10.48758/UFZ.14922
Größe
140,4 GB
Lizenz- und Nutzungsbedingungen
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Metadaten Kataloge
Dublin Core
URI
https://www.ufz.de/record/dmp/archive/14922
DOI
10.48758/ufz.14922
Thema
climate projections, SMI; mHM; SWC_0_30cm full ensemble (88 members) 1971 -2020
Veröffenlichungsdatum
08.10.2024
Geltungsbereich
Germany + headwaters
Datenart
Datensatz (in einem definierten Format strukturierte Daten)
Datenqualität
qualitätsgesicherte Daten
Datenstatus
bearbeitete Daten
Datenformat
netcdf
Urheber
Schlaak, Julian
Boeing, Friedrich
Rakovec, Oldrich
Samaniego-Eguiguren, Luis
Thober, Stephan
Marx, Andreas
Herausgeber
Helmholtz-Zentrum für Umweltforschung
Rechteinhaber
Helmholtz-Zentrum für Umweltforschung
Quelle/Ursprung
10.1007/s10113-013-0499-2
10.5194/asr-16-241-2019
Kontakt
Julian Schlaak <julian.schlaak@ufz.de>
Friedrich Boeing <friedrich.boeing@ufz.de>
Oldrich Rakovec <oldrich.rakovec@ufz.de>
Luis Samaniego <luis.samaniego@ufz.de>
Andreas Marx <andreas.marx@ufz.de>
Zeitpunkt oder -bereich der Erzeugung der Daten
01.01.1971 24:00 - 31.12.2098 24:00
Sprache des Inhalts
Englisch
Zugriffsrechte
freier Zugriff
 
Geo Core
Räumliches Bezugssystem
WGS84 (EPSG: 4326)
Kategorie
Klima
Datenart
Raster
Datentyp
Float
Auflösung
Auflösung in m: -
Auflösung in Grad: ,015625
Anzahl Zeilen: -
Anzahl Reihen: -