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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Soil moisture drought reconstruction across Europe since 1766

Authors: Rakovec, Oldrich; Samaniego, Luis; Hari, Vittal; Markonis, Yannis; Moravec, Vojtech; Thober, Stephan; Hanel, Martin; +1 Authors

Soil moisture drought reconstruction across Europe since 1766

Abstract

Data repository for: Rakovec, O., Samaniego, L., Hari, V., Markonis, Y., Moravec, V., Thober, S., Hanel, M., Kumar, R. (2022). The 2018-2020 multi-year drought sets a new benchmark in Europe. doi: 10.1029/2021EF002394 If you use this dataset in scientific publications, the aforementioned publication needs to be acknowledged. -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- We provide a comprehensive spatio-temporal assessment of the drought hazard over Europe by benchmarking past exceptional events during the period from 1766-2020. We provide gridded soil moisture simulations of the mesoscale Hydrologic Model (mHM; Samaniego et al., 2010; Kumar et al., 2013) in NetCDF format, transformed into a percentile-based monthly soil moisture index (SMI; Samaniego et al., 2013): (1) Observation-based simulations of SMI from mHM: smi_dataset_obs_based.tar.gz: meteorologic forcings are based on 1766–2015 (Casty et al., 2007; ) and E-OBS v21 (Hofstra et al., 2009). (2) Climate model-based simulations of SMI from mHM: smi_dataset_gcm_based.tar.gz This suite is based on five Coupled Model Intercomparison Project v5 (CMIP5) Global Climate Models (GCMs) (HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, GFDL-ESM2M and NorESM1-M) in the historical mode and under two future representative concentration pathways (RCP4.5 and RCP8.5), available from the ISI-MIP project (Hempel et al., 2013; Warszawski et al., 2014; Frieler et al., 2017) mHM code is available under: https://git.ufz.de/mhm/mhm, revision number: 8271b54 SMI code is available under: https://git.ufz.de/chs/progs/SMI, -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Following variables are provided in the netcdf format: float SMI(time, ncols, nrows) ; SMI:long_name = "soil moisture index" ; int mSMIc(time, ncols, nrows) ; mSMIc:long_name = "monthly SMI indicator SMI < th" ; int mDC(time, ncols, nrows) ; mDC:long_name = "consolidated cluster evolution" ; Aggregated analysis of the soil moisture drought clusters is presented in ascii files: results_ADM_yyyymm.txt i - running index of clusters c_Id - IDs of cluster mStart - starting month mEnd - ending month aDD - average Drought Duration aDA - average Drought Area TDM - Total Drought Magnitude -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This study was done within the XEROS project (eXtreme EuRopean drOughtS: multimodel synthesis of past, present and future events), funded by the Deutsche Forschungsgemeinschaft (grant RA 3235/1‐1) and Czech Science Foundation (grant 19‐24089J) -- www.ufz.de/xeros

{"references": ["Casty, C., Raible, C. C., Stocker, T. F., Wanner, H., & Luterbacher, J. (2007). A European pattern climatology 1766\u20132000. Climate Dynamics , 29 (7-8), 791\u2013 805.", "Frieler, K., Lange, S., Piontek, F., Reyer, C. P. O., Schewe, J., Warszawski, L., . . . Yamagata, Y. (2017). Assessing the impacts of 1.5 c global warm- ing \u2013 simulation protocol of the inter-sectoral impact model intercomparison project (isimip2b). Geoscientific Model Development , 10 (12), 4321\u20134345. doi: 10.5194/gmd-10-4321-2017", "Hempel, S., Frieler, K., Warszawski, L., Schewe, J., & Piontek, F. (2013). A trend- preserving bias correction - the ISI-MIP approach. Earth System Dynamics , 4 (2), 219\u2013236.", "Hofstra, N., Haylock, M., New, M., & Jones, P. D. (2009). Testing E-OBS European high-resolution gridded data set of daily precipitation and surface temperature. Journal of Geophysical Research: Atmospheres , 114 (D21).", "Kumar, R., Samaniego, L., & Attinger, S. (2013). Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and loca- tions. Water Resour. Res., 49 (1), 360\u2013379. doi: 10.1029/2012WR012195", "Samaniego, L., Kumar, R., & Attinger, S. (2010). Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale. Water Resour. Res., 46 (W05523).", "Samaniego, L., Kumar, R., & Zink, M. (2013). Implications of parameter uncertainty on soil moisture drought analysis in Germany. Journal of Hydrometeorology , 14 (1), 47\u201368.", "Warszawski, L., Frieler, K., Huber, V., Piontek, F., Serdeczny, O., & Schewe, J. (2014, March). The Inter-Sectoral Impact Model Intercomparison Project (ISI\u2013MIP): Project framework. Proceedings of the National Academy of Sciences , 111 (9), 3228\u20133232. 11"]}

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