Over the past three decades there has been vigorous development in the satellite assets and the algorithms necessary to estimate precipitation around the globe.  In particular, the highly successful joint NASA/JAXA Tropical Rainfall Measuring Mission (TRMM), followed by the joint Global Precipitation Measurement (GPM) mission, have driven these issues.  At the same time, the long-running Global Precipitation Climatology Project (GPCP) continues to extend a stable, climate-oriented view of global precipitation.  This talk will provide an overview of these projects and the wider international community of precipitation datasets, sketch plans for next-generation products (including key issues in using machine learning algorithms), and provide some examples of the best use for the different products.  One key lesson learned is that different data sets are needed to address the variety of issues that need precipitation data, including detailed 3-D views of hurricanes, flash flood forecasting, drought analysis, and global change.

(1) Airborne wind measurements during TEAMx and NAWDIC - first results (2)  not decided yet (MCV dynamics or hail trajectories under climate change) (3) tbd (4) tbd 

tbd
 

(1) Partial Analysis Increments of the ‘Swabian MOSES 2023’ campaign in the ICON-D2 model (2)  European Hail Risk under Climate Change (3) tbd (4) tbd

Predicting atmospheric processes in complex terrain remains one of the greatest challenges in modern meteorology. The South Tyrolean Meteorological Service operates a dense observational network in a region defined by extreme orographic complexity. This presentation explores the synergy between our operational mandates and our participation in the international TEAMx program.
By integrating local observations into the TEAMx framework, we aim to improve the validation of kilometric-scale weather models and enhance the understanding convective events and sub-mesoscale flow dynamics in the Alps. This collaboration ensures that cutting-edge atmospheric research directly informs better forecasting tools for mountain regions.
 

(1) tbd (2) tbd (3) The representation of equatorial waves in data-driven weather prediction models (4) Assimilating Doppler wind lidar observations from ‘Swabian MOSES 2023’ reveals wind biases in the ICON-D2 model

Earth system modeling has fundamentally contributed to our understanding of past, present and future climate. Regional-scale multidecadal to centennial variability has been identified as a model blind spot, as across general circulation model generations they showed much lower levels of temperature variance than reconstructions, and underpredict regional state-dependency. In this talk I will discuss recent work on closing this gap, what this implies for projections of temperature extremes, and how TERRA aims to improve capacities to project global change impacts.

(1) tbd (2) tbd (3) Renewable Energy Systems in a Changing Climate(4) tbd

TBD

(1) tbd (2) tbd (3) tbd (4) tbd

(1) Predictability of the 2014 Pentecost storm (2) tbd (3) Added-Value of the Coming Decade ICONXPP Decadal Climate Predictions Ensemble for User-relevant Variables in Europe (4) tbd