Faranak TootoonchiSwedish University of Agricultural Sciences | SLU
Faranak Tootoonchi
PhD
About
9
Publications
2,791
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61
Citations
Citations since 2017
Introduction
My main research focuses on application of statistical methods, analyzing climate models’ outputs, assessment of hydroclimatic dependencies; to understand runoff behavior in changing climates and forecasting hydrological processes in different time horizons.
Education
September 2018 - December 2022
November 2015 - November 2017
September 2012 - September 2014
Publications
Publications (9)
A warming climate is associated with increasing hydroclimatic extremes, which are often interconnected through complex processes, prompting their concurrence and/or succession, and causing compound extreme events. It is critical to analyze the risks of compound events, given their disproportionately high adverse impacts. To account for the variabil...
For climate-change impact studies at the catchment scale, meteorological variables are typically extracted from ensemble simulations provided by global and regional climate models, which are then downscaled and bias-adjusted for each study site. For bias adjustment, different statistical methods that re-scale climate model outputs have been suggest...
Droughts can affect a multitude of public and private sectors, with impacts developing slowly over time. While droughts are traditionally quantified in relation to the hydrological components of the water cycle that they affect, this manuscript demonstrates a novel approach to assess future drought conditions through the lens of the water-energy-fo...
Hydrological climate-change-impact studies depend on climatic variables simulated by climate models. Due to parametrization and numerous simplifications, however, climate-model outputs come with systematic biases compared to the observations. In the past decade, several methods of different complexity and dimensionality for adjustment of such biase...
The future risk for droughts and water shortages calls for substantial efforts by authorities to adapt at local levels. Understanding their perception of drought hazards, risk and vulnerability can help to identify drivers of and barriers to drought risk planning and management in a changing climate at the local level. This paper presents a novel i...
Climate change poses undeniable impacts on hydroclimatic processes due to simultaneous effects of rising temperature and changing precipitation patterns. To quantify these impacts, simulations of climate variables are typically retrieved from climate models, which are then downscaled and bias-adjusted for a particular study site.
The literature ho...
Predicting floods and droughts is essential to inform the development of policy in water management, climate change adaptation and disaster risk reduction. Yet, hydrological predictions are highly uncertain, while the frequency, severity and spatial distribution of extreme events are further complicated by the increasing impact of human activities...
Urmia Lake watershed, which is located at the northwest of Iran has gone through crucial hydroclimatological changes that resulted in Urmia Lake Desiccation. Long term average temperature and precipitation trends, precipitation pattern transition and changes in precipitation-snow timing are some of the hydroclimatological changes that have occurred...
Questions
Questions (3)
I want to make a copula between two auto correlated timeseries.Since it would be better for the timeseries not to be auto correlated, was thinking about making ARIMA (Autoregressive Integrated Moving Average) series based on each of these timeseries and use the timeseries Residuals (which basically is the timeseries minus ARIMA part) as the input of my Copula model.
But now the model does not converge and the series are so changed that it is almost impossible to see some properties of the original ones in the new one.
Does anyone has any other suggestions on:
1: how can I eliminate autocorrelation (Other than ARIMA)?
2: If ARIMA is the solution, how can we use the ARIMA residuals as the Copula input?
Dear all
I am looking for a pretty advanced short course on "Statistical Analysis in climate modeling" in the near future, within Europe. Is there anyone who knows of such a thing?
Hey
I have just starting working on bias correction techniques and I am looking for a course, class, online class (basically wathever) that will be held as soon as possbile on climate modeling, climate change and bias correction mehods and i want to the class to be held within Europe.
And if not, some book references about the priciples of the aformnetioned ones.
Thanks
