1 citations · 2 across the 4 of their papers we have counts for
4 papers
Prithvi-Precip: Integrating Satellite Observations into an Atmospheric AI Foundation Model for Precipitation Forecasting
Simon Pfreundschuh, Christian D. Kummerow, Johannes Schmude +5
Accurate precipitation forecasting remains one of the most challenging problems in weather prediction. While recent AI weather prediction (AIWP) systems have achieved substantial i…
Towards a Climate OSSE Framework for Satellite Mission Design
Ann M. Fridlind, Gregory S. Elsaesser, Marcus van Lier-Walqui +24
The rich history of observing system simulation experiments (OSSEs) does not yet include a well-established framework for using climate models. The need for a climate OSSE is trigg…
Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition
Xihao Xie, Jia Zhang, Rahul Ramachandran +2
As service-oriented architecture becoming one of the most prevalent techniques to rapidly deliver functionalities to customers, increasingly more reusable software components have…
Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition
Xihao Xie, Jia Zhang, Rahul Ramachandran +2
As increasingly more software services have been published onto the Internet, it remains a significant challenge to recommend suitable services to facilitate scientific workflow co…