Masooma Batool Contact PhD researcher
Department of Computational Hydrosystems (CHS)
Permoserstraße 15
Building 7.1, Room 413
masooma.batool@ufz.de
Research interests
Assessment of Nitrogen surplus at regional scale Long-term effect of the nitrate dynamics of the Nitrogen legacy stores Analysis of different constituents of the Nitrogen surplus Surface water quality modelling at regional and global scale
Academic career Since 09/2020: PhD. researcher at UFZ, Leipzig, Germany - Global Water Quality and Analysis project (GlobeWQ)
01/2019 - 09/2019 : Research Assistant at Wageningen University and Research Center (WUR), Wageningen, Netherlands - International Nitrogen Management System project (INMS )
09/2016 - 09/2018 : MSc Environmental Sciences at Wageningen University and Research Center (WUR), Wageningen, Netherlands (Orange Knowledge Program (OKP ) scholarship holder) - Master thesis " River export of multiple pollutants to the Bay of Bengal at sub-basin scale: Past, present and future trends"
09/2011 - 09/2015 : BS Environmental Sciences at University of the Punjab, Lahore, Pakistan
Projects GlobeWQ : I am pursuing my PhD within GlobeWQ project.
Our aims within the scope of project are to understand the long-term
trajectory of the different constituents of the Nitrogen surplus at regional
scale and to study the long-term effect of the dynamics of the Nitrogen legacy
stores on stream nitrate levels.
We also focus on disentangling different N-components (like diffuse vs.
non- diffuse sources) and their changing dynamics across European River systems.
INMS : I contributed to INMS (International Nitrogen
Management System) project as Research Assistant at WUR, the Netherlands. The
project aims to bring together the science community, the private sector
and civil society to gather and synthesize evidence that can support
international policy development to improve global nitrogen management. Within the project, I was mainly responsible for in-depth research on global nitrogen inputs to land from diffuse sources (For example, mineral fertilizer, animal manure etc), preparing and processing large spatial datasets for soft coupling of global nutrients (MARINA model ), land use (MAgPIE model) and hydro-logical (VIC model ) models
Publications Batool, M., and W. Wetzels (2019), Decarbonisation options for the Dutch fertiliser industry , PBL Netherlands Environmental Assessment Agency & ECN part of TNO, The Hague.
Poster presentations Batool, M ., Kroeze, C., Bodirsky, B. L., Karstens, K., & Strokal, M. (2019). Reducing future nitrogen pollution in rivers of the Bay of Bengal. Poster session presented at the 8th International Nitrogen Initiative Conference (INI2021) 2021, Berlin, Germany
Batool, M. , Strokal, M., Kroeze, C., & de Vries, W. (2018). River export of multiple pollutants to the Bay of Bengal from point sources . 1. Poster session presented at EGU European Geosciences Union General Assembly 2018, Vienna, Austria.
Research Abstracts
Batool, M ., Kroeze, C.,
Bodirsky, B. L., Karstens, K., & Strokal, M. (2019). Reducing future
nitrogen pollution in rivers of the Bay of Bengal, Research abstract submitted at the 8th International Nitrogen Initiative Conference (INI2021) 2021, Berlin, Germany
Strokal, M., Batool, M ., Bodirsky, B. L., Karstens, K., & Kroeze, C. (2019). Sources of nitrogen in rivers worldwide, Research abstract submitted at the 8th International Nitrogen Initiative Conference (INI2021) 2021, Berlin, Germany
Bodirsky, B. L., Dietrich, J. P., Karstens, K., Weindl, I., Strokal, M., Baumstark, L., Kreidenweis, U., Chen, D. M., Batool, M., Müller, C., & Popp, A. (2019). The global nitrogen cycle from 1965 to 2010 . 3–4. https://doi.org/10.5194/bg-9-4169-2012
Index:
You could use our publication index for further requests.
Wang, M., Bodirsky, B.L., Rijneveld, R., Beier, F., Bak, M.P., Batool, M. , Droppers, B., Popp, A., van Vliet, M.T.H., Strokal, M. (2024):A triple increase in global river basins with water scarcity due to future pollution Nat. Commun. 15 , art. 880 10.1038/s41467-024-44947-3 Wang, M., Bodirsky, B.L., Rijneveld, R., Beier, F., Bak, M.P., Batool, M. , Droppers, B., Popp, A., van Vliet, M.T.H., Strokal, M. (2024): Data underlying the publication: ‘Wang et al (2024) A triple increase in global river basins with water scarcity due to future pollution. Nature Communications’ DANS Data Station Physical and Technical Sciences 10.17026/PT/3ICWZM to index Schmidt, C., Jomaa, S., Bärlund, I., Büttner, O., Borchardt, D., Kumar, R., Batool, M. , Schenk, K., Heege, T., Bauer, P., Bernert, H., Flörke, M., Rivera, J., Dürr, H., Kynast, E., Paulsen, H., Rothstein, U., Blitza, H. (2023):Quality known. GlobeWQ final report to index Batool, M. , Sarrazin, F.J., Attinger, S., Basu, N.B., Van Meter, K., Kumar, R. (2022):Long-term annual soil nitrogen surplus across Europe (1850–2019) Sci. Data 9 , art. 612 10.1038/s41597-022-01693-9 Batool, M. , Sarrazin, F.J., Attinger, S., Basu, N.B., Van Meter, K., Kumar, R. (2022): Long-term annual soil nitrogen surplus across Europe (1850–2019) (1.0) [Data set] Zenodo 10.5281/zenodo.6581441 to index
Contact Head
tbl-modmon@ufz.de
Deputy Head Prof. Dr. Luis Samaniego
luis.samaniego@ufz.de
Assistance
Sindy Bleiholder
Susanne Gangloff
sekces@ufz.de
Permoserstraße 15 | 04318 Leipzig
News / Press
May 2024 New research published in Nature Communications by Hussian et al., (2024) emphasizes the game-changing potential of near-real-time and impact-based flood prediction. Their study demonstrates a 10-meter floodplain inundation hindcast of the 2021 European Summer Flood, showcasing a 17-hour lead time for better disaster preparedness. Impact-based early warnings can empower local authorities with crucial data on citizens at-risk for targeted emergency responses.
July 30, 2023 Hitze und Dürre - Interview with climate researcher Jakob Zscheischler in Deutschlandfunk (only in German, 10:50 min)
Link to interview
May 16, 2023 Start of ESA funded project 4DHydro
The overarching objective of 4DHydro is to foster collaborations between the Earth Observation (EO) water cycle community developing novel high-resolution EO data products, and the land surface and hydrological modelling community (LSM/HM) engaged in advancing hyperresolution modelling of the hydrological cycle at regional and continental scales. By involving several European institutions 4DHydro will assess and improve data sets of EO as well as synchronize EO products and LSM/HM models in order to improve predictions of the hydrological system. Overall, it will assist end-users and decisions-makers as well as the EU Destination Earth initiative. The project’s kick-off meeting will take place in Leipzig on 21st of June 2023.
Jan 30, 2023
The following paper received the ASCE-EWRI 2023 Award for Best Case Study in the Journal of Hydrologic Engineering.
Mai, J. , B. A. Tolson, H. Shen, É. Gaborit, V. Fortin, N. Gasset, H. Awoye, T. A. Stadnyk, L. M. Fry, E. A. Bradley, F. Seglenieks, A. G. Temgoua, D. G. Princz, S. Gharari, A. Haghnegahdar, M. E. Elshamy, S. Razavi, M. Gauch, J. Lin, X. Ni, Y. Yuan, M. McLeod, N. B. Basu, R. Kumar, O. Rakovec, L. Samaniego, S. Attinger, N. K. Shrestha, P. Daggupati, T. Roy, S. Wi, T. Hunter, J. R. Craig, and A. Pietroniro (2021):
https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0002097
Dec 1, 2022
Masooma Batool won the "Best student poster award" at the XXI International Nitrogen Workshop .
Nov 15, 2022 Earthrise - Mission Klima
Video at www.welt.de (only in German)
05:50': Hohes Holz research station
Oct 12, 2022 Dr. Husain Najafi won the UFZ Young Scientist Award for Applied Research 2022. The award goes to him for his excellence and dedication in development of the operational drought forecasting system in Germany and investigation of 2021 summer flood predictability. Hydrological forecasting systems are the fundamental component of early warning systems - disaster risk reduction.
Older news are stored in the news archive .
New publications
Najafi, H. , Shrestha, P.K. , Rakovec, O. et al. High-resolution impact-based early warning system for riverine flooding. Nat Commun 15, 3726 (2024).
https://doi.org/10.1038/s41467-024-48065-y
Henniger, H., Huth, A., Frank, K., & Bohn, F. J. (2023). Creating virtual forests around the globe and analysing their state space. Ecological Modelling, 483, 110404.
https://doi.org/10.1016/j.ecolmodel.2023.110404
Friedrich Boeing, Oldrich Rakovec, Rohini Kumar, Luis Samaniego , Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, Sabine Attinger , and Andreas Marx . High-resolution drought simulations and comparison to soil moisture observations in Germany. Hydrol. Earth Syst. Sci., 26, 5137–5161, 2022.
https://doi.org/10.5194/hess-26-5137-2022
https://www.ufz.de/duerremonitor
) with a state-of-the-art compilation of observed soil moisture data from 40 locations and four different measurement methods in Germany. We show that the expressed stakeholder needs for higher resolution drought information at the one-kilometer scale can be met and that the agreement of simulated and observed soil moisture dynamics can be moderately improved.
Mahnken, M., Cailleret, M., Collalti, A., Trotta, C., Biondo, C., D’Andrea, E., ... & Reyer, C. P. O. (2022). Accuracy, realism and general applicability of European forest models. Global Change Biology.
DOI: 10.1111/gcb.16384
Pacheco-Labrador, J., Weber, U., Ma, X., Mahecha, M. D., Carvalhais, N., Wirth, C., Huth, A., Bohn, F. J. , Kraemer, G., Heiden, U., FunDivEUROPE members, and Migliavacca, M.: EVALUATING THE POTENTIAL OF DESIS TO INFER PLANT TAXONOMICAL AND FUNCTIONAL DIVERSITIES IN EUROPEAN FORESTS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-1/W1-2021, 49–55, 2022.
DOI: 10.5194/isprs-archives-XLVI-1-W1-2021-49-2022
Bevacqua, E. , De Michele, C., Manning, C., Couasnon, A., Ribeiro, A.F.S., Ramos, A.M., Vignotto, E., Bastos, A., Blesić, S., Durante, F., Hillier, J., Oliveira, S.C., Pinto, J.G., Ragno, E., Rivoire, P., Saunders, K., van der Wiel, K., Wu, W., Zhang, T., Zscheischler, J. (2021): Guidelines for Studying Diverse Types of Compound Weather and Climate Events. Earth Future.
10.1029/2021EF002340
Najafi H , Robertson AW, Massah Bavani AR, Irannejad P, Wanders N, Wood EF. Improved multi-model ensemble forecasts of Iran's precipitation and temperature using a hybrid dynamical-statistical approach during fall and winter seasons. Int J Climatol . 2021;1–28.
DOI: 10.1002/joc.7148
Hari, V. , Rakovec, O. , Markonis, Y. et al. Increased future occurrences of the exceptional 2018–2019 Central European drought under global warming. Sci Rep 10, 12207 (2020).
DOI: 10.1038/s41598-020-68872-9
Schmidt, L., Heße, F., Attinger, S., Kumar, R. , (2020): "Challenges in applying machine learning models for hydrological inference: A case study for flooding events across Germany", Water Resources Research
DOI: 10.1029/2019WR025924
Jing, M., Kumar, R., Heße, F., Thober, S., Rakovec, O., Samaniego, L., Attinger, S. , (2020): "Assessing the response of groundwater quantity and travel time distribution to 1.5, 2, and 3 °C global warming in a mesoscale central German basin", Hydrology and Earth System Sciences
DOI: 10.5194/hess-24-1511-2020
Sep 2, 2022 The collaborative project "Standardisiertes Monitoring von Wachstumsreaktionen wichtiger Waldbaumarten auf klimatische Extremereignisse" (MW³) with participation of the UFZ will develop a standardized monitoring system and protocol to record growth responses of important Central European forest tree species with a focus on climatic extremes. Future extreme events and their impact on forest carbon fluxes in Germany will be analyzed using smart models.
