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climate science

381 papers

#machine learning Preprint Aug 2026

Diffusion-Based Refinement for Kilometer-Scale Probabilistic Precipitation Nowcasting

Localized extreme precipitation is a major trigger of urban flash floods and landslides, yet producing nowcasts that combine fine spatial detail with probabilistic uncertainty remains challenging. Here we introduce exPreCast-ENS, a conditional residual diffusion framework that transforms the deterministic 4 km radar no...

Dohyun Park, Changhoon Song, Teng-Yuan Chang et al. · 0 citations
#computer vision Conference Sep 2000

Is management commitment a necessity after all in software process improvement?

Literature and practice has established that the lack of management commitment has been one of the top reasons for a failed SPI (software process improvement) initiative. The paper reports results from an ongoing study aimed at clarifying the role and the meaning of management commitment in SPI initiatives. Results fro...

P. Abrahamsson · 27 citations · ⚡2
#computer vision Jan 2002

The Interaction Between Organizational Subcultures and User-Centered Design - A Case Study of an Implementation Effort

The results indicate that there exist differences in the views of the nature of UCD, and in the motives for implementing it, in the experiences gained and interpretations made of the use of it in relation to each subculture.

N. Iivari, P. Abrahamsson · 0 citations

The role of commitment in software process improvement

This thesis suggests that the commitment phenomenon is better explained through what can be called strategic, operational and personal commitment nets, which can be used for analyzing the unfolding and alteration of commitment towards a specific entity, in this case a software process improvement endeavor, through time...

P. Abrahamsson · 51 citations · ⚡5
#computer vision Jun 2002

Personal Software Process: Classroom Experiences from Finland

Results from the University of Oulu in Finland, where PSP is a mandatory course for students majoring in software engineering, do not indicate a significant improvement in size or effort estimation skills, but the defects found in the unit test phase were decreased.

P. Abrahamsson, K. Kautz · 27 citations · ⚡3

Evolutionary product line modelling

This work proposes an evolutionary software product line modelling approach based on controllable inheritance of product line members specifications that uses hierarchies of implemented product specifications accompanied by correctness control of product model transformations.

S. Roubtsov, Ella E. Roubtsova, P. Abrahamsson · 3 citations

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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