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--- working_groups:ess_people [2021/06/16 10:17]
llledo [Llorenç Lledó Ponsati]
+++ working_groups:ess_people [2021/06/16 10:47]
llledo [Llorenç Lledó Ponsati]
@@ Line 11: / Line 11: @@
 **Bio**: Dr Sara Basart (female) received a degree in Physics from the University of Barcelona (UB). She studied a Masters in Meteorology and Climatology a the University of Barcelona (UB). Dr Basart obtained her PhD degree in Engineering Environmental (Degree of European Doctor) at Technical University of Catalonia (UPC) in January 2012 while doing her research at different research centres (Centro de Investigación Atmosférica de Izaña, Spain, and  Laboratoire des Sciences du Climat et de l'Environnement, France). Her main research background covers mineral dust modelling, air quality and aerosols.
 At present, Dr Basart is a researcher in the Barcelona Supercomputing Center (BSC). She is the scientist in charge of the WMO Sand and Dust Storm Warning Advisory and Assessment System ([[http://sds-was.aemet.es/|SDS-WAS]]) Regional Center for Northern Africa, Middle East and Europe, and the Barcelona Dust Forecast Center ([[http://dust.aemet.es/|BDFC]]), hosted in BSC. She also participates in international projects like the International Cooperative on Aerosol Prediction ([[http://www.nrlmry.navy.mil/aerosol/icap.1135.php|ICAP]]) initiative and ACTRIS (ACTRIS and ACTRIS-2). She is leading the BSC participation in Copernicus (CAMS-84). She has authored or co-authored more than 30 peer-reviewed publications in international journals and book chapters.
+----
+==== Sergi Bech ====
+{{:working_groups:Sergi¨_Bech.jpg?100|}} \\
+**Computer Science and Mathematics Student**\\
+**Interests:**  Applied mathematics, machine learning, deep learning, physics, climate change. \\
+**Bio:** Sergi Bech Sala is a last year Mathematics and Computer Science student at the University of Barcelona.
+He will be working on a challenge to improve sub-seasonal to seasonal predictions using Artificial Intelligenge/Machine Learning.
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@@ Line 128: / Line 139: @@
 ==== Llorenç Lledó Ponsati ====
 {{:working_groups:members:llur.jpeg?100 |}}
-**Post-doc researcher** \\
+**Postdoctoral researcher - climate scientist** \\
 [[https://www.linkedin.com/in/lloren%C3%A7-lled%C3%B3-ponsati-624b2aa1|Personal page]]\\
-**Interests:** Climate Services for Renewable Energy, S2S2D variability and predictability, Wind Resource Assessment, Wind Power Forecasting, Numerical Weather Prediction, Reanalysis, Dynamical and statistical downscaling, bias adjustment, probabilistic forecast verification, AI4ES, Climate change projections, Weather Routing.
+**Interests:** Climate Services for Renewable Energy, S2S2D variability and predictability, wind resource assessment, wind power forecasting, numerical weather prediction, climate modelling, reanalyses, dynamical and statistical downscaling, bias adjustment techniques, probabilistic forecast verification, AI4ES, climate change projections, weather routing.
-**Bio:** Llorenç Lledó holds a BSc in Mathematics and a MSc in Meteorology. During the last decade he has worked on applications of Numerical Weather Prediction to the industry. More specifically, during the last 7 years he has focused on applications for the wind industry, specialising on Wind Resource Assessment and Wind Power Forecasting. At BSC, his work focuses on the CLIM4ENERGY project, a C3S service prototype delivering seasonal predictions of wind and capacity factor for the energy sector. Llorenç is pursuing a PhD on physics at University of Barcelona. On his free time, Llorenç loves sailing and enjoying the wind from another perspective.
+**Bio:**
+Llorenç Lledó holds a PhD in Physics from the Universitat de Barcelona and a MSc in Meteorology from the same university. He also studied a BSc in Mathematics there. He has 5 years of experience in co-producing climate services for the energy sector and has specialized in post-processing S2S2D dynamical predictions to generate probabilistic products taylored for specific uses. He has expertise in probabilistic forecast verification, bias adjustment and calibration, downscaling techniques, all with an eye on the application of ML techniques. Before joining the academia, he worked for ten years in the private sector developing applications of numerical weather prediction for short-term wind power forecasting. He has participated in dozens of wind resource assessment studies for developing new wind farm projects. He has supervised MsC and PhD students and has received a “Personal Técnico de Apoyo” grant from the Spanish ministry of science. He has participated in many research projects such as H2020 S2S4E, FOCUS, VITIGEOSS, EUPORIAS, ERA4CS INDECIS and MEDSCOPE, Copernicus CLIM4ENERGY, Spanish Ministry RESILIENCE and other private contracts. Llorenç Lledó holds a BSc in Mathematics and a MSc in Meteorology. On his free time, Llorenç loves sailing, hiking, ski-touring and climbing.
 ----
 ==== Andrea Manrique-Suñén ====

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