Oldrich Rakovec

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Rohini KumarHelmholtz Centre for Environmental Research (UFZ)Email yang diverifikasi di ufz.de
Luis SamaniegoProf. of Data Science and Hydrology (Uni-Potsdam) / Group Leader at the UFZEmail yang diverifikasi di ufz.de
Martin HanelCzech University of Life SciencesEmail yang diverifikasi di fzp.czu.cz
Yannis MarkonisCzech University of Life Sciences PragueEmail yang diverifikasi di fzp.czu.cz
Sabine AttingerProfessor für Mathematische HydrologieEmail yang diverifikasi di ufz.de
Albrecht WeertsDeltares / Wageningen University & ResearchEmail yang diverifikasi di deltares.nl
Niko WandersAssociate Professor Hydrological extremes at Utrecht UniversityEmail yang diverifikasi di uu.nl
Matthias ZinkInternational Soil Moisture Network (ISMN) @ ICWRGC & BfGEmail yang diverifikasi di bafg.de
Martyn ClarkDepartment of Civil Engineering, Schulich School of Engineering University of CalgaryEmail yang diverifikasi di ucalgary.ca
Ming PanCW3E, Scripps Institution of Oceanography, University of California San DiegoEmail yang diverifikasi di ucsd.edu
Petr MacaCZU PragueEmail yang diverifikasi di fzp.czu.cz
Vittal HariAssistant Professor, Indian Institute of Technology (Indian School of Mines), DhanbadEmail yang diverifikasi di iitism.ac.in
Eric F WoodProfessor of Civil and Environmental EngineeringEmail yang diverifikasi di princeton.edu
Justin SheffieldUniversity of SouthamptonEmail yang diverifikasi di soton.ac.uk
Remko UijlenhoetProfessor of Hydrology & Water Resources, Delft University of TechnologyEmail yang diverifikasi di tudelft.nl
Martin SchrönPostdoc at the UFZ LeipzigEmail yang diverifikasi di ufz.de
Andrew W. WoodNational Center for Atmospheric Research; Colorado School of MinesEmail yang diverifikasi di ucar.edu
Jan KyselyInstitute of Atmospheric Physics, PragueEmail yang diverifikasi di ufa.cas.cz
Seong Jin NohKumoh National Institute of TechnologyEmail yang diverifikasi di kumoh.ac.kr
Juliane MaiUniversity of WaterlooEmail yang diverifikasi di freenet.de

Ikuti

Oldrich Rakovec

Nama lainnyaOlda Rakovec

Faculty of Environmental Sciences, Czech University of Life Sciences Prague (CZU)

Email yang diverifikasi di fzp.czu.cz

Hydrology drought flood forecasting data assimilation sensitivity analysis


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Anthropogenic warming exacerbates European soil moisture droughts L Samaniego, S Thober, R Kumar, N Wanders, O Rakovec, M Pan, M Zink, ... Nature Climate Change 8 (5), 421-426, 2018	669	2018
Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities Y Liu, AH Weerts, M Clark, HJ Hendricks Franssen, S Kumar, ... Hydrology and earth system sciences 16 (10), 3863-3887, 2012	491	2012
Increased future occurrences of the exceptional 2018–2019 Central European drought under global warming V Hari, O Rakovec, Y Markonis, M Hanel, R Kumar Scientific reports 10 (1), 12207, 2020	353*	2020
Revisiting the recent European droughts from a long-term perspective M Hanel, O Rakovec, Y Markonis, P Máca, L Samaniego, J Kyselý, ... Scientific reports 8 (1), 9499, 2018	342*	2018
Climate change alters low flows in Europe under global warming of 1.5, 2, and 3 C A Marx, R Kumar, S Thober, O Rakovec, N Wanders, M Zink, EF Wood, ... Hydrology and Earth System Sciences 22 (2), 1017-1032, 2018	226	2018
The 2018–2020 multi‐year drought sets a new benchmark in Europe O Rakovec, L Samaniego, V Hari, Y Markonis, V Moravec, S Thober, ... Earth's Future 10 (3), e2021EF002394, 2022	202	2022
On the choice of calibration metrics for “high-flow” estimation using hydrologic models N Mizukami, O Rakovec, AJ Newman, MP Clark, AW Wood, HV Gupta, ... Hydrology and Earth System Sciences 23 (6), 2601-2614, 2019	186	2019
Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models O Rakovec, MC Hill, MP Clark, AH Weerts, AJ Teuling, R Uijlenhoet Water Resources Research 50 (1), 409-426, 2014	180	2014
Towards seamless large‐domain parameter estimation for hydrologic models N Mizukami, MP Clark, AJ Newman, AW Wood, ED Gutmann, B Nijssen, ... Water Resources Research 53 (9), 8020-8040, 2017	173	2017
Multiscale and multivariate evaluation of water fluxes and states over European river basins O Rakovec, R Kumar, J Mai, M Cuntz, S Thober, M Zink, S Attinger, ... Journal of Hydrometeorology 19 (2), 2016	170	2016
Multi-model ensemble projections of European river floods and high flows at 1.5, 2, and 3 degrees global warming S Thober, R Kumar, N Wanders, A Marx, M Pan, O Rakovec, ... Environmental Research Letters 13 (1), 014003, 2018	168	2018
Toward seamless hydrologic predictions across spatial scales L Samaniego, R Kumar, S Thober, O Rakovec, M Zink, N Wanders, ... Hydrology and Earth System Sciences 21 (9), 4323-4346, 2017	136	2017
Improving the realism of hydrologic model functioning through multivariate parameter estimation O Rakovec, R Kumar, S Attinger, L Samaniego Water Resources Research 52 (10), 7779-7792, 2016	133	2016
Europe under multi-year droughts: how severe was the 2014–2018 drought period? V Moravec, Y Markonis, O Rakovec, M Svoboda, M Trnka, R Kumar, ... Environmental Research Letters 16 (3), 034062, 2021	131	2021
The rise of compound warm-season droughts in Europe Y Markonis, R Kumar, M Hanel, O Rakovec, P Máca, A AghaKouchak Science advances 7 (6), eabb9668, 2021	127*	2021
State updating of a distributed hydrological model with Ensemble Kalman Filtering: effects of updating frequency and observation network density on forecast accuracy O Rakovec, AH Weerts, P Hazenberg, P Torfs, R Uijlenhoet Hydrology and Earth System Sciences 16, 3435-3449, 2012	118	2012
Hydrological forecasts and projections for improved decision-making in the water sector in Europe L Samaniego, S Thober, N Wanders, M Pan, O Rakovec, J Sheffield, ... Bulletin of the American Meteorological Society 100 (12), 2451-2472, 2019	85	2019
On the curious case of the recent decade, mid-spring precipitation deficit in central Europe M Ionita, V Nagavciuc, R Kumar, O Rakovec Npj climate and atmospheric Science 3 (1), 49, 2020	84	2020
Computationally inexpensive identification of noninformative model parameters by sequential screening M Cuntz, J Mai, M Zink, S Thober, R Kumar, D Schäfer, M Schrön, ... Water Resources Research 51 (8), 6417-6441, 2015	77	2015
Making the most out of a hydrological model data set: Sensitivity analyses to open the model black‐box E Borgonovo, X Lu, E Plischke, O Rakovec, MC Hill Water Resources Research, 2017	74	2017

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