Daniel Schertzer
YOU?
Author Swipe
View article: Combining recurrent neural networks with variational mode decomposition and multifractals to predict rainfall time series
Combining recurrent neural networks with variational mode decomposition and multifractals to predict rainfall time series Open
Rainfall time series prediction is essential for monitoring urban hydrological systems, but it is challenging and complex due to the extreme variability of rainfall. A hybrid deep learning model (VMD-RNN) is used in order to improve predic…
View article: Characterization of Atmospheric Visibility through Extinction Coefficient and the Influence of Lower Threshold on Assessment of Multifractal Parameters
Characterization of Atmospheric Visibility through Extinction Coefficient and the Influence of Lower Threshold on Assessment of Multifractal Parameters Open
Scaling analysis of subjectively defined fields, which are often expressed as a range of values based on the field of application, is not straightforward. To avoid potential biases in statistical analysis, extracting the actual underlying …
View article: Multifractality of climate networks
Multifractality of climate networks Open
Geophysical fields are extremely variable over a wide range of space–time scales. More specifically, they are intermittent in the sense that the strongest fluctuations are increasingly concentrated in sparser and sparser fractions of the s…
View article: Temporal and Spatial Dynamics of Urban Evapotranspiration in Paris: A Multiscale Perspective
Temporal and Spatial Dynamics of Urban Evapotranspiration in Paris: A Multiscale Perspective Open
The impacts of global change, such as extreme heat and water scarcity, are increasingly threatening urban populations. Evapotranspiration (ET) plays a vital role in mitigating urban heat islands and reducing the effects of heat waves. It a…
View article: An investigation on the impact of intermittency on wind Lidar profiler data utilizing a Universal Multifractal framework 
An investigation on the impact of intermittency on wind Lidar profiler data utilizing a Universal Multifractal framework  Open
The intermittent nature of turbulence introduces significant variability and extreme events, which profoundly complicates efforts to accurately measure, model, and predict its behavior. In the context of the atmospheric boundary layer, thi…
View article: Multifractal Phase Transitions for the “Transformative Shift” Towards a Shared Value Economy
Multifractal Phase Transitions for the “Transformative Shift” Towards a Shared Value Economy Open
International projections indicate that extreme climatic events will become more frequent and intense, leading to significant disruptions in water cycle patterns. At the same time, water remains the only irreplaceable natural resource. As …
View article: Combining Artificial Intelligence and Multifractals for Precipitation Nowcasting: the UM-GAN Example.
Combining Artificial Intelligence and Multifractals for Precipitation Nowcasting: the UM-GAN Example. Open
Intermittency is a defining characteristic of rainfall, yet it is largely overlooked in most IA nowcasting models. We emphasise its theoretical significance at various stages of the prediction process, from training to assessing its accura…
View article: RadX: Urban Resilience SaaS
RadX: Urban Resilience SaaS Open
Urban areas face escalating risks from localised extreme precipitation events, characterised by unprecedented rainfall volumes and increasing frequency of short-duration, high-intensity storms, posing significant challenges to urban infras…
View article: Multifractal analysis of wind turbine power and rainfall from an operational wind farm – Part 1: Wind turbine power and the associated biases
Multifractal analysis of wind turbine power and rainfall from an operational wind farm – Part 1: Wind turbine power and the associated biases Open
The inherent variability in atmospheric fields, which extends over a wide range of temporal and spatial scales, is also transferred to energy fields extracted from them. In the specific case of wind power generation, this can be seen in th…
View article: Multifractal analysis of wind turbine power and rainfall from an operational wind farm – Part 2: Joint analysis of available wind power and rain intensity
Multifractal analysis of wind turbine power and rainfall from an operational wind farm – Part 2: Joint analysis of available wind power and rain intensity Open
In the increasing global transition towards renewable and carbon-neutral energy, understanding the uncertainties associated with wind power production is extremely important. In addition to the widely acknowledged uncertainties from turbul…
View article: Multifractality of Climate Networks
Multifractality of Climate Networks Open
Geophysical fields are extremely variable over a wide range of space-time scales. More specifically, they are intermittent in the sense that the strongest fluctuations are increasingly concentrated on sparser and sparser fractions of the s…
View article: Comment on egusphere-2023-2710
Comment on egusphere-2023-2710 Open
Abstract. Rainfall time series prediction is essential for monitoring urban hydrological systems, but it is challenging and complex due to the extreme variability of rainfall. A hybrid deep learning model (VMD-RNN) is used in order to impr…
View article: Observation of different multifractal phase transitions over three typhoon events
Observation of different multifractal phase transitions over three typhoon events Open
Rainfall is extremely variable in both space and time, which makes its analysis complex. A widely used framework to properly handle these features is Universal Multifractals (UM), which is a physically based and mathematically robust frame…
View article: Different Approaches to the Impacts of Climate Change, with a Common Goal: a Healthy Planet
Different Approaches to the Impacts of Climate Change, with a Common Goal: a Healthy Planet Open
This work has benefited from a multidisciplinary scientific and technical contributions geared by the HM&Co Lab of the Ecole des Ponts ParisTech (hmco.enpc.fr) towards the sustainable, desirable, and resilient city. The deepening of th…
View article: Multifractal analysis of aerosol particle concentration during rain and dry conditions in nm and µm range
Multifractal analysis of aerosol particle concentration during rain and dry conditions in nm and µm range Open
Below cloud scavenging by rain is known to be a very efficient sinking mechanism for aerosols in atmosphere. Since this scavenging depends on interaction between aerosol particles as well as the scavening raindrops, and notably their respe…
View article: Multifractal analysis of Cn2  scintillometer data
Multifractal analysis of Cn2  scintillometer data Open
The cooling efficacy of green roofs in mitigating the urban heat island (UHI) effect within dense cities is largely attributed to evapotranspiration (ET) processes. Hence, accurate understanding and quantification of ET are pivotal for opt…
View article: Cloud based tool to enhance urban resilience with the Fresnel Platform using the Multi-Hydro Model
Cloud based tool to enhance urban resilience with the Fresnel Platform using the Multi-Hydro Model Open
The aim of the Fresnel platform of École des Ponts ParisTech is to foster research and innovation in multiscale urban resilience. Studying the hydrological response of such complex urban areas accounting also for small scale spatio-te…
View article: Simulating Temperature and Evapotranspiration using a Universal Multifractal approach
Simulating Temperature and Evapotranspiration using a Universal Multifractal approach Open
Temporal structure functions are usually defined as the q-th order statistical moment of the absolute fluctuation in a time series over a temporal lag at a given resolution. However, applying this in analyzing a temperature time series res…
View article: Multifractal analysis of recent precipitation projections in the context of climate change
Multifractal analysis of recent precipitation projections in the context of climate change Open
Despite efforts to obtain consistent results, the prediction of patterns in the behavior of geophysical fields still faces many uncertainties. However, these analyses are important for studying the effects of human action on the environmen…
View article: Combining Generative Adversarial Networks with Multifractals for Urban Precipitation Nowcasting 
Combining Generative Adversarial Networks with Multifractals for Urban Precipitation Nowcasting  Open
Precipitation nowcasting, referring to short-term forecasting ahead for 0 to 6 hours, is an important aspect of many urban meteorological and hydrological studies. This is due to the fact that reliable nowcasting can serve as an early warn…
View article: Multifractal correlation of rainfall and wind fields and consequences on wind power production
Multifractal correlation of rainfall and wind fields and consequences on wind power production Open
Rainfall and wind exhibit extreme variability over wide range of space-time scales. Such features are naturally transferred to wind turbine torque and ultimately to wind energy production. Improving our understanding of wind power producti…
View article: Comment on egusphere-2023-2710
Comment on egusphere-2023-2710 Open
Abstract. Rainfall time series prediction is essential for monitoring urban hydrological systems, but it is challenging and complex due to the extreme variability of rainfall. A hybrid deep learning model (VMD-RNN) is used in order to impr…
View article: Part 1: Multifractal analysis of wind turbine power and the associated biases
Part 1: Multifractal analysis of wind turbine power and the associated biases Open
The inherent variability in atmospheric fields, which extends over a wide range of temporal and spatial scales, also gets transferred to energy fields extracted off them. In the specific case of wind power generation, this can be seen in t…
View article: Part 2: Joint multifractal analysis of available wind power and rain intensity from an operational wind farm
Part 2: Joint multifractal analysis of available wind power and rain intensity from an operational wind farm Open
Wind power production plays an important role in achieving UN’s (United nations) Sustainable development goal (SDG) 7 – affordable and clean energy for all; and in the increasing global transition towards renewable and carbon neutral energ…
View article: Combining Recurrent Neural Networks with Variational Mode Decomposition and Multifractals to Predict Rainfall Time Series
Combining Recurrent Neural Networks with Variational Mode Decomposition and Multifractals to Predict Rainfall Time Series Open
Rainfall time series prediction is essential for monitoring urban hydrological systems, but it is challenging and complex due to the extreme variability of rainfall. A hybrid deep learning model (VMD-RNN) is used in order to improve predic…
View article: A universal multifractal-based method to model pore size distribution, water retention and hydraulic conductivity of granular green roof substrates
A universal multifractal-based method to model pore size distribution, water retention and hydraulic conductivity of granular green roof substrates Open
International audience
View article: Small Scales Space-Time Variability of Wind Fields: Simulations with Vector Fields and Transfer to Turbine Torque Computation
Small Scales Space-Time Variability of Wind Fields: Simulations with Vector Fields and Transfer to Turbine Torque Computation Open
Wind fields are extremely variable in space and time over a wide range of scales. This extreme variability is transferred to the wind turbine torque and ultimately to wind energy production. The Universal Multifractal (UM) framework is a p…
View article: Multifractal analysis of Cn2 scitillometer data and consequences for evapotranspiration estimates in urban areas
Multifractal analysis of Cn2 scitillometer data and consequences for evapotranspiration estimates in urban areas Open
The cooling impact of green roofs is highlighted in the context of urbanisation and urban heat island (UHI) effect. And it is usually described and quantified by evapotranspiration (ET) processes. Understanding ET process is the key to opt…