Seyed-Mohammad Hosseini-Moghari

Seyed-Mohammad Hosseini-Moghari
Goethe-Universität Frankfurt am Main · Institut für Physische Geographie

Postdoctoral Researcher

About

41
Publications
11,517
Reads
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853
Citations
Citations since 2016
36 Research Items
843 Citations
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
Introduction
Mohammad currently works at the Institute of Physical Geography at Goethe University Frankfurt.
Additional affiliations
June 2019 - present
Chinese Academy of Sciences
Position
  • PostDoc Position
Education
September 2013 - September 2018
University of Tehran
Field of study
  • Water Resources Engineering
September 2011 - September 2013
University of Tehran
Field of study
  • Water Resources Engineering

Publications

Publications (41)
Article
Full-text available
During the last decades, the endorheic Lake Urmia basin in northwestern Iran has suffered from decreased precipitation, groundwater levels and a very strong reduction in the volume and more recently also in the extent of Lake Urmia. Human water use has exacerbated the desiccating impact of climatic variations. This study quantifies the contribution...
Article
Although total storage deficit index (TSDI) is a well-known GRACE-based drought index, it is not efficient for the basins with high consumption because water harvesting in these areas affect GRACE signal. To overcome this limitation, the modified total storage deficit index (MTSDI) is introduced in this paper. To develop MTSDI, residuals of the sig...
Article
This study attempts to assess the validity of the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) products across Iran. Six IMERG precipitation products (IPPs) including early, late, and final runs for versions 05 and 06 were compared with precipitation data from 76 synoptic stations on a daily scale for the perio...
Article
Full-text available
Abstract Investigation of the pressing impacts of climate change on drought is vital for sustainable societal and ecosystem functioning. The magnitude of how much the drought will change and the way how droughts would affect society and the environment are inadequately addressed over East Africa. This study aimed at assessing future drought changes...
Article
Full-text available
Gravity Recovery and Climate Experiment (GRACE) observations provide information on Total Water Storage Anomaly (TWSA) which is a key variable for drought monitoring and assessment. The so-called Total Water Storage Deficit Index (TWSDI) based on GRACE data has been widely used for characterizing drought events. Here we show that the commonly used...
Article
Full-text available
ECMWF Reanalysis (ERA), one of the most widely used precipitation products evolved over time from ERA-40 to ERA-20CM, ERA-20C, ERA-Interim, and ERA5. Studies evaluating the performance of individual ERA products cannot adequately assess the evolution in the products. We compared the performance of all ERA precipitation products using daily, monthly...
Chapter
Climate change is leading to changing patterns of precipitation and increasingly extreme global weather. There is an urgent need to synthesize our current knowledge on climate risks to water security, which in turn is fundamental for achieving sustainable water management. Climate Risk and Sustainable Water Management discusses hydrological extreme...
Chapter
Climate change is leading to changing patterns of precipitation and increasingly extreme global weather. There is an urgent need to synthesize our current knowledge on climate risks to water security, which in turn is fundamental for achieving sustainable water management. Climate Risk and Sustainable Water Management discusses hydrological extreme...
Preprint
Full-text available
ECMWF Reanalysis (ERA), one of the most widely used precipitation products evolved over time from ERA-40 to ERA-20CM, ERA-20C, ERA-Interim, and ERA5. Studies evaluating the performance of individual ERA products cannot adequately assess the evolution in the products. We compared the performance of all ERA precipitation products using daily, monthly...
Article
Full-text available
This study evaluates the validity of the Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) in scaling extreme precipitation with temperature (termed scaling factor, SF). To this end, we use Hadley‐Integrated Surface Database (HadISD) data set at 1‐hourly, 6‐hourly, and 24‐hourly scales between 2000 and 2020 over the...
Preprint
Full-text available
The present study compares the main characteristics (intensity, duration, and frequency) of meteorological drought events in the four climates (Hyperarid, Arid, Semiarid, and Humid) of Iran. For this purpose, three drought indices, including Standardized Precipitation Index (SPI), Reconnaissance Drought Index (RDI), and Standardized Precipitation E...
Article
This study explores the sensitivity (termed scaling factor, SF) of daily and 30-minute precipitation extremes with several temperature variables, i.e., within-day surface air temperature (SAT) and dew point temperature (DPT), and antecedent SAT and DPT (corresponding to temperatures one day before a precipitation event, denoted as SAT-C and DPT-C)...
Article
Full-text available
In this study, we assessed the impacts of climate variations on streamflow in 28 near-natural catchments in Iran. To this end, we analyzed the trend of annual streamflow, precipitation, and temperatures using the Mann-Kendall test and Sen’s slope between water years 1982 and 2011. We evaluated the frequency of precipitation in different classes, i....
Preprint
Full-text available
ECMWF Reanalysis (ERA), one of the most widely used precipitation products, has evolved over time from ERA-40 to ERA-20CM, ERA-20C, ERA-Interim, and ERA5. Studies evaluating the performance of individual ERA precipitation products cannot adequately assess the evolution in the products. Therefore, we compared the performance of five successive ERA p...
Article
Global gridded precipitation datasets have been developed using rain gauges, satellite observations, and data assimilation techniques to fulfill the need in regions with a limited contribution of ground observations like Iran. This study presents a comprehensive evaluation of currently available precipitation datasets over Iran at monthly (44 datas...
Article
Full-text available
Rainfall is one of the most influential climatic factors on regional development and environment, and changes in rainfall intensity are of specific concern. In the Huaihe River Valley (HRV), heavy rainfall is a primary trigger of floods. However, the difference in the origin of moisture contributed to heavy rainfall and light rainfall is rarely stu...
Article
The complexity of pollutant-mixing mechanism in open channels generates large uncertainty in estimation of longitudinal and lateral dispersion coefficients (Kx and Ky). Therefore, Kx and Ky estimation in rivers should be accompanied by an uncertainty analysis, a subject mainly ignored in previous studies. We introduce a method based on thorough ana...
Article
Full-text available
Terrestrial water storage (TWS) in high mountain areas contributes large runoff volumes to nearby lowlands during the low-flow season when streamflow is critical to downstream water supplies. The potential for TWS from GRACE (Gravity Recovery and Climate Experiment) satellites to provide long-lead streamflow forecasting in adjacent lowlands during...
Article
Least square support vector regression (LSSVR) is a powerful data-driven method for simulation and forecasting, with two parameters to tune. In this study, these parameters were automatically tuned using the interior search algorithm (ISA) and genetic algorithm (GA). The main purpose is in situ simulation and forecast of monthly groundwater level i...
Article
Full-text available
During the last decades, the endorheic Lake Urmia basin in northwestern Iran has suffered from declining groundwater tables and a very strong recent reduction in the volume of Lake Urmia. For the case of Lake Urmia basin, this study explores the value of different locally and globally available observation data for adjusting a global hydrological m...
Article
Full-text available
Aqua-agriculture reservoirs have been used as one of the main resources for supplying water to paddy fields, particularly under water shortage conditions. In this study, a simulation–optimization model for conjunctive use of irrigation canals and aqua-agriculture reservoir was developed in order to maximize rainwater harvesting while minimizing wat...
Article
Full-text available
In this study, we corrected the bias in the Princeton forcing dataset, i.e., precipitation, maximum and minimum temperatures, and wind speed, by adjusting its long-term mean monthly climatology to match observations for the period 1988–2012 using the delta-ratio method. To this end, we collected meteorological data from 97 stations covering the dom...
Article
In this work, the accuracy of four gridded precipitation datasets – Climatic Research Unit (CRU), Global Precipitation Climate Centre (GPCC), PERSIANN-Climate Data Record (PCDR) and University of Delaware (UDEL) – is evaluated across Iran to find an alternative source of precipitation data. Monthly, seasonal and annual precipitation data from 85 sy...
Article
Full-text available
High and low stremflow values forecasting is of great importance in field of water resources in order to mitigate the impacts of flood and drought. Most of water resources models deal with the problem of not being flexible for modeling maximum and minimum flows. To overcome that shortcoming, a combination of artificial neural network (ANN) models i...
Article
Full-text available
This paper focuses on three models namely probabilistic neural network (PNN), k-nearest neighbor and support vector machine (SVM) as an alternative to NSFWQI in order to classify water quality of Karoon River, Iran as a case study, regarding minimum possible parameters. For this purpose a set of 172 water samples were used in a way that water quali...
Article
The aim of this paper is to evaluate the accuracy of the precipitation data gathered from satellites including PERSIANN, TRMM-3B42V7, TRMM-3B42RTV7, and CMORPH, over Gorganrood basin, Iran. The data collected from these satellites (2003–2007) were then compared with precipitation gauge observations at six stations, namely, Tamar, Ramiyan, Bahlakeh-...
Article
Full-text available
The present study focuses on quantitative (exact) and qualitative (classifying) drought forecasting in Gorganrood, Iran, based on monthly time-series of standard precipitation index (SPI) with 1–6 months lead-times. In so doing, recursive multi-layer perceptron (RMLP) and recursive support vector regression (RSVR) were optimized via an imperialist...
Article
Drought is a slow and creeping worldwide phenomenon which has adversely affected arid and semi-arid regions of the world. Drought indices like Streamflow Drought Index (SDI) and Standardized Precipitation Index (SPI) offer quantitative methods for combating probable consequences of drought. In this article, the results of the drought indices trend...
Article
This work introduces the symbiotic organisms search (SOS) evolutionary algorithm to the optimization of reservoir operation. Unlike the genetic algorithm (GA) and the water cycle algorithm (WCA) the SOS does not require specification of algorithmic parameters. The solution effectiveness of the GA, SOS, and WCA was assessed with a single-reservoir a...
Article
The current research tried to address three main issues. First, due to the fact that it is difficult to employ a unique drought policy for the whole basin with different land uses, what is the most pragmatic approach to handle this issue? The second issue concerned development of a framework to consider both short-term and long-term strategies. Fin...
Chapter
The increasing occurrence of drought events along with lack of proper drought management practices in various regions of the world has caused several socioeconomic problems for natural-resource-dependent communities. The operation of surface water resources that are quickly affected by drought, in most regions, is performed using the reservoir. The...
Article
This study applies a recently developed evolutionary algorithm (EA) called state of matter search (SMS) to minimize the total energy deficit in the Karun4 reservoir, Iran. The operation of the Karun4 reservoir is influenced by several factors, which requires a multiple criteria framework for selecting the most suitable solution EA. Five EAs, in add...
Article
Full-text available
Reservoirs are built to provide a powerful tool to control and manage surface water resources in order to cover inconsistency between water resources and demands. Due to finite available water and the increasing demands for water especially in arid and semi-arid regions like Iran, reservoirs must be optimally operated in order to use water in the m...
Article
Real-world, multiobjective, reservoir optimization problems (MOOPs) usually have conflicting objective functions. Multiobjective evolutionary algorithms (MOEAs) have been applied to solve multiobjective optimization problems. Given that MOOP solutions cannot minimize or maximize all objectives simultaneously, it is difficult to determine Pareto opt...
Article
Water scarcity is one of the most serious problems in many parts of the world that affects negatively on the environment, society, and economy. In order to mitigate the negative effects of this issue, optimal water resource management is pivotal. In current paper, imperialist competitive algorithm (ICA) and cuckoo optimization algorithm (COA) which...
Article
Water quality degradation affects socio-economic development inappropriately and has dire effects on human health too. Water quality indexes (WQIs) are the methods widely used for modelling water quality status. However, using these indexes is limited by some constraints like deficiency of necessary database or uncertainty of decision-making. Throu...
Article
Drought forecasting with proper accuracy, notably helps the drought management, and therefore, reduces the damages caused by drought. The aim of this study is to forecast the drought at short-, mid-, and long-term time scales. To this aim, the Standard Precipitation Index (SPI) was calculated on 3, 6, 9, 12, and 24-month time scales based on monthl...
Article
The optimal operation of reservoir systems to meet water demand is a complex and nonlinear problem. This paper applies the biogeography-based optimization (BBO) algorithm to solve reservoir operation problems. The BBO algorithm is first verified with the minimization of three mathematical benchmark functions (Sphere, Rosenbrock, and Bukin6). In add...

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Projects

Project (1)
Project
The primary goals are: (1) develop a multi-observation ensemble-based calibration and data assimilation (C/DA) methodology to combine observational data of model output variables (time series of gauge-based streamflow, GRACE/GRACE-FO total water storage variations, remotely-sensed extent and level of surface water bodies, snow cover, glacier mass change and streamflow) with hydrological models in an optimal manner. (2) exploit this methodology with the global hydrological model WaterGAP to provide an improved quantitative assessment of freshwater fluxes and storages including their uncertainties in response to climate and anthropogenic forcing. To reach these goals, nine partners work together, collaborating with two Mercator fellows. The Goethe University Frankfurt and the University of Bonn coordinate the project.