Scientist
Forecast, Evaluation, Verification and Observation Monitoring
Summary:
Maria Pyrina has a scientific background in physics and atmospheric sciences. She has worked on understanding remote drivers of extreme temperature and drought events, on deterministic and ensemble forecast skill verification, and developed AI algorithms for subseasonal to seasonal weather and climate forecasts. During her PhD she worked with statistical methods to reconstruct paleoclimate conditions over the last millennium and performed CMIP and paleoclimate model evaluations. She is currently involved in the Destination Earth initiative and is working on process based verification of surface variables at km-scale global forecasts (NWP and AI).
Professional interests:
- Forecast verification and diagnostics for NWP and AI forecasts
- Atmospheric Predictability for short-range, medium-range, and subseasonal predictions
- Extreme events (e.g., heatwaves, droughts) verification in km-scale global forecasts
- Development of statistical and AI-based weather and climate forecasts
Career background:
June 2024 - present: Scientist at the Forecast and Services department at ECMWF
February 2021 - present: Postdoctoral researcher at IAC, ETH Zurich, group of Atmospheric predictability
August 2017 - December 2020: Postdoctoral researcher at Helmholtz-Zentrum HEREON, group of Climate Extremes and Impacts
April 2014 - July 2017: Early career scientist (Marie Curie Fellowship) at Helmholtz-Zentrum HEREON, group of Paleoclimate and Statistics
PhD student at the University of Hamburg, Department of Earth System Sciences
- 2024
- Wolfgang Wicker, Nili Harnik, Maria Pyrina, Daniela Domeisen (January 2024) Rossby Wave Phase Speed Influences Heatwave Location through a Shift in Storm Track Position. DOI: 10.22541/essoar.170515985.59596080/v1
- Maria Pyrina, Wolfgang Wicker, Andries Jan De Vries, Georgios Fragkoulidis, Daniela Domeisen (January 2024) Rossby wave packets driving concurrent and non-concurrent heatwaves in the Northern and Southern Hemisphere mid-latitudes. DOI: 10.5194/egusphere-2023-3088
- 2023
- Elizabeth Weirich Benet, Maria Pyrina, Bernat Jiménez Esteve, Ernest Fraenkel, Judah Cohen, Daniela Domeisen (April 2023) Sub-seasonal Prediction of Central European Summer Heatwaves with Linear and Random Forest Machine Learning Models, Artificial Intelligence for the Earth Systems. DOI: 10.1175/aies-d-22-0038.1
- Maria Pyrina, Zheng Wu, Philine L. Bommer, Miguel-Ángel Fernández-Torres, Daniela Domeisen (September 2023) Sub-seasonal prediction of drought over the Horn of Africa with Neural Networks. DOI: 10.57757/IUGG23-1811
- 2022
- Maria Pyrina, Daniela I.V. Domeisen (November 2022) Sub‐seasonal predictability of onset, duration, and intensity of European heat extremes, Quarterly Journal of the Royal Meteorological Society. DOI: 10.1002/qj.4394
- 2021
- (June 2021) Statistical seasonal prediction of European summer mean temperature using observational, reanalysis and satellite data, Weather and Forecasting. DOI: 10.1175/waf-d-20-0235.1
- (April 2021) Surface and Tropospheric Response of North Atlantic Summer Climate from Paleoclimate Simulations of the Past Millennium, Atmosphere. DOI: 10.3390/atmos12050568
- (March 2021) Supervised and unsupervised learning algorithms for extreme summer temperature prediction, EGU 2021. DOI: 10.5194/egusphere-egu21-12439
- 2017
- (December 2017) Evaluation of CMIP5 models over the northern North Atlantic in the context of forthcoming paleoclimatic reconstructions, Climate Dynamics. DOI: 10.1007/s00382-017-3536-x
- (October 2017) Pseudo-proxy evaluation of climate field reconstruction methods of North Atlantic climate based on an annually resolved marine proxy network, Climate of the Past. DOI: 10.5194/cp-13-1339-2017
- 2015
- (January 2015) Cloud effects on the solar and thermal radiation budgets of the Mediterranean basin, Atmospheric Research. DOI: 10.1016/j.atmosres.2013.11.009