Newsarchiv
19. Mai 2021
In October 2020 a new Helmholtz Young Investigator group ( link ) led by Jakob Zscheischler started in CHS. The group will work on compound weather and climate events with a particular focus on using novel ideas from explainable machine learning to identify compounding weather drivers of extreme impacts such as vegetation mortality, crop failure and floods. Recently the group was awarded a Helmholtz AI project called CausalFlood, in which compounding drivers of floods will be identified based on causal inference in collaboration with the group of Jakob Runge from DLR.
23. Feb 2021
11. Feb 2021
A preprint of the article "Data Driven High Resolution Modeling and Spatial Analyses of the COVID-19 Pandemic in Germany" by Schüler et al. is now available.9. Dec 2020
New paper on "Strong hydroclimatic controls on vulnerability to subsurface nitrate contamination across Europe" by Kumar et al., published in Nature Communications12. Nov 2020
Starting next year, two Helmholtz knowledge transfer projects will be funded at the UFZ. The Water Resources Information System Germany WIS-D ( see here ) lead in CHS and the forest monitor headed in the Department CLE.
8. Nov 2020
FALLING WALLS CIRCLE TABLE: BREAKTHROUGHS IN WATER DIAGNOSIS
with A. CURRY, J. MCDONNELL, J. ROSE, L. SAMANIEGO
Three international experts working on Water Diagnosis methods meet at the World Science Summit (last Nov. 8) to discuss insights of past achievements and the next walls that need to be torn-down to improve water management.
20. Dez 2019
Rakovec et al. (2019): "Diagnostic Evaluation of Large‐Domain Hydrologic Models Calibrated Across the Contiguous United States", Journal of Geophysical Research: Atmospheres
1. Dez 2019
Samaniego et al. (2019): "Hydrological Forecasts and Projections for Improved Decision-Making in the Water Sector in Europe", Bulletin of the American Meteorological Society
1. Jun 2018
Jing, M. et al. (2018): "Improved regional-scale groundwater representation by the coupling of the mesoscale Hydrologic Model (mHM v5.7) to the groundwater model OpenGeoSys (OGS)", Geosci. Model Dev.
3. Mai 2018
WRR Editors’ Highlight: Zink et al. 2018: "Conditioning a Hydrologic Model Using Patterns of Remotely Sensed Land Surface Temperature"23. Apr 2018
Samaniego et al. (2018): "Anthropogenic warming exacerbates European soil moisture droughts", Nature Climate Change Zeile nach oben verschieben
24. Mär 2018
Zink, M. (2018): "Conditioning a hydrologic model using patterns of remotely sensed land surface temperature", Water Resour. Res.
3. Jan 2018
Thober et al. (2018): "Multi-model ensemble projections of European river floods and high flows at 1.5, 2, and 3 degree global warming", ERL
1. Sep 2017
Samaniego et al. (2017), "Toward seamless hydrologic predictions across spatial scales", HESS
27. Mär 2017
Zink et al. (2017): "A high-resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty", HESS
12. Aug 2015
Dürrer wird's noch (ZEIT online) feat. the UFZ Drought Monitor and M. Zink
25. Jun 2015
Zech et al. (2015), "Sauna, sweat and science", Isotopes in Environm. and Health Studie
Climate Tower inauguration (MDR.de) lead by C. Rebmann and M. Cuntz
26. Mai 2015
Eos Research Spotlight Inflexibility of Some Hydrological Models Limits Accuracy feat. Mendoza et al. 20156. Feb 2015
HEPEX Blog The importance of parameterizations for better continental forecast systems by Luis Samaniego
26. Mär 2013
Does parameterization technique affect simulations of water fluxes? selected for the Eos Research Spotlight in AGU's weekly newspaper.
Featured article
1. Feb 2013
Nationwide agricultural drought reconstruction for Germany since 1950 at a spatial resolution of 4×4 km2.
Journal article
22. Mai 2010
WRR-Editor's Choice Awards 2010: Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale.