Bahareh Kamali

Senior scientist, Agrohydrological ecosystem modeller

Institute of Crop Science and Resource Conservation-University of Bonn


I hold an engineering degree in water resources management from Amirkabir University of Technology, Tehran, Iran and a PhD degree in environmental science from ETH Zürich, Switzerland. Currently, I am a postdoctoral research fellow in Leibniz Centre for Agricultural Landscape Research (ZALF), Germany. My general research interest is agrohydrological ecosystem modeling at landscape and large scale, analyzing the response of these systems to climate change and climatic extremes, and development and implementation of approaches for model calibration, parameter estimation, and data assimilation. I am interested to learn and develop methods to assimilate real-time remote-sensing data into agroecosystem models for more accurate prediction of agricultural productivity and enhancement in water resource management strategies.


  • Agrohydrological modeling with focus on plant-water relations
  • Model calibration and uncertainty analysis in environmental systems
  • Assimilation of remote sensing data into agrohydrological models
  • Analyzing the response of agrohydrological ecosystems to climatic extremes and variability at landscape scale


  • PhD in Environmental sciences, 2017

    ETH, Zürich

  • MSc in water resource planning and management engineering, 2010

    Amirkabir University of Technology, Tehran, Iran

  • BSc in civil engineering, 2006

    Urmia University, Urmia, Iran

Scientific Modeling Software


Level: Professional

I have been using SWAT and SWAT-CUP since 2012 when I started the EPP fellowship program in eawag, switzerland. I …


Level: Professional

I have been using EPIC since 2013 mainly to simulate cereal crops in Sub-Saharan Africa. Due to my previous …


Level: Professional

I have been using MONICA since 2018 for simulating crops and grasslands for different projects. In 2019, together …


Level= Good

I have been using Lintul5 since I have been involved in the DAAD exchange program with University of Tasmania (UTAS). In …


Level: Professional

I have applied HEC-HMS to simulate flood events in the Tamar Basin of Iran. The project was conducted during my Msc …


Level: Good to very good

Since 2014, I have been frequently programming in Python. I first used it to develop my EPIC+ interface which …


Level: Good to very good

I started programming in MATLAB in 2008 for developing optimization algorithms for calibration of hydrological …

Professional experience


Senior scientist

Institute of Crop Science and Resource Conservation (INRES)-University of Bonn

Apr 2021 – Present Bonn, Germany

Funded by: Deutsch Forschungsgemeinschaft (DFG)


Conducting and leading research projects Supervision

  • Supervising and co-supervisor of PhD/master students in collaboration with internal and external main-supervisors Writing scientific papers Writing research proposals for funding new positions Teaching bacholar and master courses

Post-doctoral researcher

Leibniz University Hannover (LHU)

Jan 2021 – Mar 2021 Hanover, Germany

Title of project: icee - Improving the agro-hydrological simulation of irrigation in catchments under extreme climatic conditions by using ensembles (icee)

Funded by: Deutsch Forschungsgemeinschaft (DFG)


Conducting and leading research projects with focus on

  • Reducing uncertainties of irrigation water demand simulations by agro-hydrological models at the local and regional scale (experimental fields, catchments, irrigation command areas).


  • Supervising and co-supervisor of PhD/master students in collaboration with internal and external main-supervisors

Writing scientific papers

Writing research proposals for funding new positions


Post-doctoral researcher

Leibniz Center for Agriculture Landscape Research

Jan 2018 – Dec 2020 Müncheberg, Germany

Title of project: SattGrün - Satellite-based information for grassland management

Funded by: Federal Ministry of Food and Agriculture (BMEL)


Conducting and leading research projects with focus on

  • Development and application of agroecosystem models in case studies from Germany, Africa, Spain
  • Developing methods for calibration of agroecosystem models and model uncertainty analysis
  • Climate change impact assessment under rainfed and irrigated systems
  • Development of methods for assimilating satellite-driven variables into crop models


  • Supervising and co-supervisor of PhD/master students in collaboration with internal and external main-supervisors Writing scientific papers Writing research proposals for funding new positions



Nov 2012 – Jan 2018 Duebendorf, Switzerland

Title of project Application of a bio-physical crop model to assess crop-drought vulnerability in Sub-Saharan Africa under present and future climate

Funded by: Swiss National Foundation (SNF) under project number: CR21I3_146430. Dec.2013-Nov.2016


My responsibilities were to fulfill below key objectives of the project:

  • Applying a crop model (EPIC+) to simulate the impact of droughts on crop yields in a historical context with specification of duration and types of droughts concerning different stages of crop growth at the grid cell level
  • Assessing the crop-drought vulnerability by incorporating the magnitude of crop yield loss, relative production failure (reduction), as well as the frequency of the drought events in each geographical unit (mostly at the country level)
  • Investigating the socio-economic factors influencing the crop-drought vulnerability and mapping out the hot spots of high vulnerability to droughts in SSA.


Amirkabir University of Technology

Nov 2010 – Feb 2012 Tehran-Iran


  • Collaborating on project about optimizing the operation of Ekbatan dam for sediment flushing
  • Teaching assisstant

Funded by: Water Research Institute and Amirkabir University of Technology


  • Linking PSO algorithm with a numberial model developed to simulates sediments in reservoir
  • Optimizing the flushing time considering reservoir sediment load

Team leader

TARH O SAZE CASPIAN: Building & Infrastructure Engineering Company

May 2010 – Oct 2012 Tehran-Iran

  • Designing urban storm water collection
  • Hydrologic analysis of flooding events in urban systems
  • Modeling and visualization of urban storm water collection using AutoCAD


Civilmarmar Building & Infrastructure Engineering Company

May 2007 – Sep 2007 Urmia-Iran

  • Designing services and advices for rehabilitation, renovation and construction of roads and higway projects
  • Modeling and visualization of roads and highways using AutoCAD
  • Quantity surveying and estimating of project costs



Invited lecturer

University of Geneva

Mar 2017 – Mar 2017 Geneva, Switzerland

Title of course: SPACE-Water: Hydrological modeling with SWAT

Main lecturer: Prof. Anthony Lehmann

Responsibility: During this 1-day lecture, my responsibility was to teach bacholar students concepts related to calibration, validation and uncertainty analysis and practical exercise on these concepts using SWAT and SWAT-CUP.


University lecturer

Qazvin islamic azad university

Apr 2011 – Sep 2012 Qazvin, Iran
List of courses:

  • Hydraulic (2 credit point BSc program)
  • Fluid mechanic (3 credit points BSc program)
  • Hydraulic and hydrostructures (3 credit Points BSc program)

Teaching assistant

Amirkabir university of technology

Apr 2010 – Sep 2012 Tehran-Iran
List of courses:

  • Hydrology (2 credit points BSc program)
  • Advanced hydrology (3 credit points MSc program)

Peer-review Journals

Crop growth and soil water fluxes at erosion-affected arable sites: A model inter-comparison based on weighing-lysimeter observations

Four lysimeters with different soil types were used that cover the range of soil variability in an erosion-affected hummocky …

Modelling climate change impacts on maize yields under low nitrogen input conditions in sub‐Saharan Africa

We evaluated the impact of varying [CO2], temperature and rainfall conditions on maize yield, for different nitrogen (N) inputs (0, 80, …

A quantitative analysis for determining socio-economic factors conferring crop drought vulnerability

we linked maize drought vulnerability index to socioeconomic factors conferring droughts at country level and tried to identify which …

Reducing computational costs of automatic calibration of rainfall-runoff models: Meta-models or high-performance computers?

We compared the performance of the two approaches applied to overcome the computational costs of automatic calibration of the HEC-HMS …

Spatial assessment of maize physical drought vulnerability in sub-Saharan Africa: Linking drought exposure with crop failure

Crop yields exhibit known responses to droughts. However, quantifying crop drought vulnerability is often not straightforward, because …

Drought vulnerability assessment of maize in Sub-Saharan Africa: Insights from physical and social perspectives

Drought as a slow-onset phenomenon inflicts important losses to agriculture where the degree of vulnerability depends not only on …

Adaption to climate change: a case study of two agricultural systems from Kenya

This study contributes to a better understanding of climate change adaptation by investigating different farming systems and by …

Assessing the Uncertainty of Multiple Input Datasets in Prediction of Water Resources Components

A large number of local and global databases for soil, land use, crops, and climate are now available from different sources, which …

A toolkit for climate change analysis and pattern recognition for extreme weather conditions e Case study: California-Baja California Peninsula

This paper describes the development of a Climate Change Toolkit (CCT) to perform tasks needed in a climate change study plus …

Multilevel Drought Hazard Assessment under Climate Change Scenarios in Semi-arid Regions - A Case Study of the Karkheh River Basin in Iran

To highlight drought regional differences at multiple levels of hydrological cycle, we utilized historic and future of meteorological, …

Modelling the effect of riparian vegetation restoration on sediment transport in a human-impacted Brazilian catchment

We used the Soil andWater Assessment Tool (SWAT) to simulate river discharge and sediment exports in a typical human impacted Brazilian …

Uncertainty-based auto-calibration for crop yield – the EPIC+ procedure for a case study in Sub-Saharan Africa

Process-based crop models are increasingly used to assess the effects of different agricultural management practices on crop yield. …

Identification of spatiotemporal patterns of biophysical droughts in semi-arid region – a case study of the Karkheh river basin in Iran

In this paper, fuzzy set theory has been used to combine different objective functions and convert the multi-objective model to a …

Automatic Calibration of Conceptual HEC-HMS Using Multi-Objective Fuzzy Optimal Models

In this paper, fuzzy set theory has been used to combine different objective functions and convert the multi-objective model to a …

Talks and poster presentations

Spatio-temporal dynamic of crop drought vulnerability in Sub-Saharan Africa

We explored the diverse statistical approaches used to decompose crop model uncertainty

Future of permanent grasslands in Germany, implications for grassland management

Cropping systems models have become an essential tool to simulate crop growth, development and yield at different scales to produce …

Assessment of bio-physical drought hazards. A case study of Karkheh River basin in Iran

Iran has been affected by frequent droughts. Climate change is expected to intensify the situation in the future. Extreme drought …

Drought vulnerability assessment of wheat and barley production under climate change-A case study of Karkheh River Basin in Iran

Sub-Saharan Africa (SSA) is far from becoming self-sufficiency in cereal production. The recurrence of droughts in the past decades has …

The Impact of climate data uncertainty on calibration of the SWAT model

Meta-modeling for calibration of HEC-HMS rainfall-runoff

Application of rainfall temporal distribution on HEC-HMS and SWMM model

We explored the implications of using coarse resolution input data on model outputs


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