Albert Soret
Biographic Data
| ID | 6902968 |
|---|---|
| NAME | Albert Soret |
| GIVEN NAMES | Albert |
| FAMILY NAME | Soret |
| SIGNATURE | SORET A |
| AFFILIATIONS | Barcelona Supercomputing Center |
| ORCID | 0000-0002-1962-2972 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Added value of downscaling multivariate drought indices for seasonal climatic water-balance assessments
Reliable climatic water-balance information at seasonal timescales is essential for informing agricultural and hydrological risks. However, coarse-resolution global climate models (GCMs) often struggle to represent local extremes and derived water-related indices, and their predictive skill for these quantities is typically even more limited. This study assesses the added value of downscaled SPEI for seasonal climatic water-balance assessments, r…
Constraining decadal climate predictions with seasonal forecasts: A step toward seamless multi-year climate information
The increasing demand for climate information that spans seasonal to multi-annual time scales poses a challenge for current prediction systems, which are traditionally designed for specific forecast horizons. This study addresses this gap by proposing a new method to generate seamless climate information from seasonal to decadal time scales. We develop a constraining approach based on ensemble member selection, in which decadal prediction members…
Kilometre-scale Earth system models to support the renewable energy transition: A combination of storyline methodologies
Kilometre-scale Earth system models (km-ESMs) represent a significant advancement in climate modelling, offering unprecedented spatial detail. To ensure their societal relevance, this study explores how combining storyline methodologies can bridge science and decision-making in the context of the renewable energy transition. The study conducted a discourse-based stakeholder mapping and through participatory workshops, three scenario storylines we…
Multi-annual predictions of the frequency and intensity of daily temperature and precipitation extremes
The occurrence of extreme climate events in the coming years is modulated by both global warming and internal climate variability. Anticipating changes in frequency and intensity of such events in advance may help minimize the impact on climate-vulnerable sectors and society. Decadal climate predictions have been developed as a source of climate information relevant for decision-making at multi-annual timescales. We evaluate the multi-model forec…
Compliance with 2021 WHO air quality guidelines across Europe will require radical measures
Peer Reviewed
On the impact of excess diesel NO X emissions upon NO 2 pollution in a compact city
NO X emissions from diesel light-duty-vehicles (LDV) largely exceed the Euro emission standards in real-world driving conditions. Recent studies have quantified their impact upon air quality and human health primarily based on air quality models at mesoscale and large-scale resolutions. Here, we show that these approaches can significantly underestimate the impact of diesel LDV excess NO X emissions upon NO 2 pollution in cities, particularly in …
What we can learn from birdsong: Mainstreaming teleworking in a post-pandemic world
Many urban areas suffer from poor air quality as a consequence of high levels of car-based traffic. Even cities with well-developed multi-modal public transport networks and favourable conditions for alternative transportation, such as Barcelona, experience problems with air pollution. The restrictions imposed on movement in response to the COVID-19 pandemic offer insights into the collective social benefits of reduced traffic. This situation als…
Summer drought predictability over Europe: Empirical versus dynamical forecasts
Seasonal climate forecasts could be an important planning tool for farmers, government and insurance companies that can lead to better and timely management of seasonal climate risks. However, climate seasonal forecasts are often under-used, because potential users are not well aware of the capabilities and limitations of these products. This study aims at assessing the merits and caveats of a statistical empirical method, the ensemble streamflow…
What we can learn from birdsong: Mainstreaming teleworking in a post-pandemic world
Many urban areas suffer from poor air quality as a consequence of high levels of car-based traffic. Even cities with well-developed multi-modal public transport networks and favourable conditions for alternative transportation, such as Barcelona, experience problems with air pollution. The restrictions imposed on movement in response to the COVID-19 pandemic offer insights into the collective social benefits of reduced traffic. This situation als…
Summer drought predictability over Europe: Empirical versus dynamical forecasts
Seasonal climate forecasts could be an important planning tool for farmers, government and insurance companies that can lead to better and timely management of seasonal climate risks. However, climate seasonal forecasts are often under-used, because potential users are not well aware of the capabilities and limitations of these products. This study aims at assessing the merits and caveats of a statistical empirical method, the ensemble streamflow…
On the impact of excess diesel NO X emissions upon NO 2 pollution in a compact city
NO X emissions from diesel light-duty-vehicles (LDV) largely exceed the Euro emission standards in real-world driving conditions. Recent studies have quantified their impact upon air quality and human health primarily based on air quality models at mesoscale and large-scale resolutions. Here, we show that these approaches can significantly underestimate the impact of diesel LDV excess NO X emissions upon NO 2 pollution in cities, particularly in …
What we can learn from birdsong: Mainstreaming teleworking in a post-pandemic world
Many urban areas suffer from poor air quality as a consequence of high levels of car-based traffic. Even cities with well-developed multi-modal public transport networks and favourable conditions for alternative transportation, such as Barcelona, experience problems with air pollution. The restrictions imposed on movement in response to the COVID-19 pandemic offer insights into the collective social benefits of reduced traffic. This situation als…
Compliance with 2021 WHO air quality guidelines across Europe will require radical measures
Peer Reviewed
Multi-annual predictions of the frequency and intensity of daily temperature and precipitation extremes
The occurrence of extreme climate events in the coming years is modulated by both global warming and internal climate variability. Anticipating changes in frequency and intensity of such events in advance may help minimize the impact on climate-vulnerable sectors and society. Decadal climate predictions have been developed as a source of climate information relevant for decision-making at multi-annual timescales. We evaluate the multi-model forec…
Constraining decadal climate predictions with seasonal forecasts: A step toward seamless multi-year climate information
The increasing demand for climate information that spans seasonal to multi-annual time scales poses a challenge for current prediction systems, which are traditionally designed for specific forecast horizons. This study addresses this gap by proposing a new method to generate seamless climate information from seasonal to decadal time scales. We develop a constraining approach based on ensemble member selection, in which decadal prediction members…
Kilometre-scale Earth system models to support the renewable energy transition: A combination of storyline methodologies
Kilometre-scale Earth system models (km-ESMs) represent a significant advancement in climate modelling, offering unprecedented spatial detail. To ensure their societal relevance, this study explores how combining storyline methodologies can bridge science and decision-making in the context of the renewable energy transition. The study conducted a discourse-based stakeholder mapping and through participatory workshops, three scenario storylines we…
Added value of downscaling multivariate drought indices for seasonal climatic water-balance assessments
Reliable climatic water-balance information at seasonal timescales is essential for informing agricultural and hydrological risks. However, coarse-resolution global climate models (GCMs) often struggle to represent local extremes and derived water-related indices, and their predictive skill for these quantities is typically even more limited. This study assesses the added value of downscaled SPEI for seasonal climatic water-balance assessments, r…
Climate variability and models (5 works) · Environmental Science (5 works) · Geography (5 works) · Meteorology (5 works) · Climate change (4 works) · Climate extremes (3 works) · Climate model (3 works) · Climatology (3 works) · Forecast skill (3 works) · Meteorological Phenomena and Simulations (3 works)