Boris Thies

A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons

Precipitation retrieval from space: An overview

Global precipitation measurement

The prevalence of pituitary adenomas

Deep learning and process understanding for data-driven Earth system science

Hyperspectral Remote Sensing Classifications: A Perspective Survey

Inclusive cross sections in collisions of multicharged ions with dressed targets

Transdisciplinary global change research: the co-creation of knowledge for sustainability

An integrated modelling framework for simulating regional-scale actor responses to global change in the water domain

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

New light on old problems

Physics-informed machine learning

Random forest in remote sensing: A review of applications and future directions

Attosecond timing of electron emission from a molecular shape resonance

Rainfall-Rate Assignment Using MSG SEVIRI Data—A Promising Approach to Spaceborne Rainfall-Rate Retrieval for Midlatitudes

Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI

Precipitation process and rainfall intensity differentiation using Meteosat Second Generation Spinning Enhanced Visible and Infrared Imager data

Multiple vacancy inclusive probabilities for the scattering system 16 MeV S¹⁶⁺on Ar*

Verification of precipitation from regional climate simulations and remote-sensing observations with respect to ground-based observations in the upper Danube catchment