Search Results - "Moradian, Sogol"

Seasonal meteorological drought projections over Iran using the NMME data by Moradian, Sogol, Yazdandoost, Farhad

“…Accurate and well-planned forecasts provide critical information for preparedness and mitigation strategies as well as the sustainable practice of water…”
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Investigating the causes of Lake Urmia shrinkage: climate change or anthropogenic factors? by Shams Ghahfarokhi, Mehri, Moradian, Sogol

“…In the current scenario, Lake Urmia, one of the vastest hyper saline lakes on the Earth, has been affected by serious environmental degradation. Using…”
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Climate change impacts on the streamflow of Zarrineh River, Iran by Yazdandoost, Farhad, Moradian, Sogol

“…Zarrineh River is located in the northwest of Iran, providing more than 40% of the total inflow into the Lake Urmia that is one of the largest saltwater lakes…”
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Evaluation of Water Sustainability under a Changing Climate in Zarrineh River Basin, Iran by Yazdandoost, Farhad, Moradian, Sogol, Izadi, Ardalan

“…This paper presents the results of studies on water resources management strategies, under the influence of climate change, in the Zarrineh River basin,…”
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A review of science–policy interface for water governance in the Caspian Sea by Bamal, Apoorva, Moradian, Sogol, Torabi-Haghighi, Ali, Indiana-Olbert, Agnieszka

“…Science and policy have been interlinked for decades and perform essential nexus conditions in the governing aspects of environmental scenarios. This review…”
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Assessing the impacts of climate change on precipitation through a hybrid method of machine learning and discrete wavelet transform techniques, case study: Cork, Ireland by Moradian, Sogol, Iglesias, Gregorio, Broderick, Ciaran, Olbert, Indiana A.

“…Cork City, Ireland. Reconstruction of precipitation timeseries is gaining increasing attention for monitoring and prediction studies. To address the challenges…”
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Thresholds for estuarine compound flooding using a combined hydrodynamic–statistical modelling approach by Lyddon, Charlotte, Chien, Nguyen, Vasilopoulos, Grigorios, Ridgill, Michael, Moradian, Sogol, Olbert, Agnieszka, Coulthard, Thomas, Barkwith, Andrew, Robins, Peter

“…Estuarine compound flooding can happen when extreme sea level and river discharges occur concurrently, or in close succession, inundating low-lying coastal…”
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A copula post-processing method for wind power projections under climate change by Moradian, Sogol, Gharbia, Salem, Iglesias, Gregorio, Indiana Olbert, Agnieszka

“…•This paper presents an approach to improve the accuracy of wind predictions from CMIP6 outputs.•The technique is based on an empirical bias correction method…”
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A framework for developing a spatial high-resolution daily precipitation dataset over a data-sparse region by Yazdandoost, Farhad, Moradian, Sogol, Izadi, Ardalan, Bavani, Alireza Massah

“…This paper outlines a framework in order to provide a reliable and up-to date local precipitation dataset over Sistan and Baluchestan province, one of the…”
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Evaluation of CMIP6 precipitation simulations across different climatic zones: Uncertainty and model intercomparison by Yazdandoost, Farhad, Moradian, Sogol, Izadi, Ardalan, Aghakouchak, Amir

“…This study analyzes the performance of precipitation estimates from historical runs of the CMIP6 (Climate Model Intercomparison Project Phase 6) over the…”
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Optimized hybrid ensemble technique for CMIP6 wind data projections under different climate-change scenarios. Case study: United Kingdom by Moradian, Sogol, Akbari, Milad, Iglesias, Gregorio

“…Wind energy resources will be impacted by climate change. A novel hybrid ensemble technique is presented to improve long-term wind speed projections using…”
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Copula-based projections of wind power: Ireland as a case study by Moradian, Sogol, Olbert, Agnieszka I., Gharbia, Salem, Iglesias, Gregorio

“…Wind energy is a key element in the ongoing push to decarbonize the energy supply. The first step in the development of a wind farm at a specific site is to…”
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Improving the precipitation forecasts of the North-American multi model ensemble (NMME) over Sistan basin by Yazdandoost, Farhad, Moradian, Sogol, Zakipour, Mina, Izadi, Ardalan, Bavandpour, Majid

“…•Precipitation forecasts of four NMME models were compared over Sistan Basin.•Seasonal and subseasonal precipitation predictions were…”
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Combined statistical and hydrodynamic modelling of compound flooding in coastal areas - Methodology and application by Olbert, Agnieszka I., Moradian, Sogol, Nash, Stephen, Comer, Joanne, Kazmierczak, Bartosz, Falconer, Roger A., Hartnett, Michael

“…•Linking statistical and hydrodynamic modelling allows assessing flood hazards.•Interactions and dependencies between multiple flood drivers affect flood…”
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Future Changes in Precipitation Over Northern Europe Based on a Multi-model Ensemble from CMIP6: Focus on Tana River Basin by Moradian, Sogol, Torabi Haghighi, Ali, Asadi, Maryam, Mirbagheri, Seyed Ahmad

“…Accurate climate projections help policymakers mitigate the negative effects of climatic changes and prioritize environmental issues based on scientific…”
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How to Choose the Most Proper Representative Climate Model Over a Study Region? a Case Study of Precipitation Simulations in Ireland with NEX-GDDP-CMIP6 Data by Moradian, Sogol, Coleman, Liz, Kazmierczak, Bartosz, Olbert, Agnieszka I.

“…With the aim of providing a multi-criteria decision-support system to capture the spatio-temporal climatological patterns derived from climate models and…”
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Forecasting of compound ocean-fluvial floods using machine learning by Moradian, Sogol, AghaKouchak, Amir, Gharbia, Salem, Broderick, Ciaran, Olbert, Agnieszka I.

“…Flood modelling and forecasting can enhance our understanding of flood mechanisms and facilitate effective management of flood risk. Conventional flood hazard…”
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Modelling extreme precipitation projections under the effects of climate change: case study of the Caspian Sea by Moradian, Sogol, Gharbia, Salem, Torabi Haghighi, Ali, Olbert, Indiana A.

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Enhancing the accuracy of wind power projections under climate change using geospatial machine learning models by Moradian, Sogol, Gharbia, Salem, Majidi Nezhad, Meysam, Olbert, Agnieszka Indiana

“…This paper presents a geospatial artificial intelligence (GeoAI) approach for generating wind power projection maps employing various Machine Learning (ML)…”
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