Chiem van Straaten - Concepedia

Author

Chiem van Straaten

Royal Netherlands Meteorological Institute ORCID

Also Known As

Chiem van Straaten, van Straaten, Chiem

Publications

274

Citations

H-Index

Concepts

All Affiliations

Royal Netherlands Meteorological Institute Vrije Universiteit Amsterdam Deltares Potsdam Institute for Climate Impact Research

About

Chiem van Straaten is an author at Royal Netherlands Meteorological Institute specializing in forecasting, geography, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	157
2	Geography	4	4	157
3	Data Science	3	3	134
4	Climate Sciences	2	2	94
5	Artificial Intelligence	1	1	71

Chiem van Straaten

Publications

265

Citations

H-Index

Page 1

	Year	Citations
Exploring deep learning capabilities for surge predictions in coastal areas Timothy Tiggeloven, Anaïs Couasnon, Chiem van Straaten, Scientific Reports	2021	88
Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives Stefano Materia, Lluís Palma García, Chiem van Straaten, Wiley Interdisciplinary Reviews Climate Change Artificial IntelligenceHydrological PredictionFuture PerspectivesMachine LearningEngineering	2024	71
Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe Chiem van Straaten, Kirien Whan, Dim Coumou, Monthly Weather Review Forecasting MethodologyEngineeringMachine LearningExplainable Ai MethodsWeather Forecasting	2022	46
The influence of aggregation and statistical post‐processing on the subseasonal predictability of European temperatures Chiem van Straaten, Kirien Whan, Dim Coumou, Quarterly Journal of the Royal Meteorological Society Forecasting MethodologyEngineeringEuropean TemperaturesWeather ForecastingClimate Modeling	2020	23
Statistical Postprocessing and Multivariate Structuring of High-Resolution Ensemble Precipitation Forecasts Chiem van Straaten, Kirien Whan, Maurice Schmeits Journal of Hydrometeorology Forecasting MethodologyHydrological PredictionEngineeringPrecipitation ForecastsWeather Forecasting	2018	17
Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures Chiem van Straaten, Kirien Whan, Dim Coumou, Artificial Intelligence for the Earth Systems	2023	10
Predicting Food‐Security Crises in the Horn of Africa Using Machine Learning Tim Busker, Bart van den Hurk, Hans de Moel, Earth s Future	2024	10

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