Downscaled Rainfall Prediction Model (DRPM) using a Unit Disaggregation Curve (UDC)

International audienceThis study was undertaken to identify the process for generating finer time scaled rainfall from higher time scaled data. The Downscaled Rainfall Prediction Model (DRPM) using the technique of unit disaggregation curve (UDC) was developed under the concept of coupling the stochastic autoregressive (AR) model with a wavelet filter and disaggregation model. Sequences of the number of rainy days and monthly rainfall were simulated from 52-year rainfall records at 4 stations in the northeastern part of Thailand. Compared with actual rainfall sequences, the 30 year generated sequences provided R-square values of 0.47-0.60. The model was applied to forecast the number of rainy days and monthly rainfall for the year of 2002. When compared with actual records the prediction model provided R-square values of 0.50 to 0.79

Bridging Academia and Enterprise: A Framework for Collaborative Success

Background: University-Enterprise Collaboration (UEC) is an essential aspect of research and innovation involving cooperation between universities and industry or other organisations. UEC can lead to economic growth, job creation, and enhanced research outcomes. However, the complexity and diversity of UECs present challenges in developing a practical framework that can guide the development and implementation of such collaborations. Aim: The aim of this paper is to develop a UEC framework from the key concepts identified in the literature, which can be adapted to various disciplines/contexts. Methods: This research paper is part of an ERASMUS+ project, which aims to strengthen enterprise collaboration for resilient communities in Asia (SECRA). The current paper presents the findings of thematic analysis of existing UEC literature. Results: Thematic analysis of eligible literature (N=84) unveiled four themes and thirty two sub-themes important to UEC. The proposed UEC framework highlights the importance of several structural, cultural, relational and material themes and their underpinning concepts for developing successful UECs. Implications: The findings can inform future research on UECs, guide UEC practice, and provide the foundations for developing successful UECs. However, further research is needed to test the feasibility and validity of the framework in real-world UEC collaborations and to explore the interactions between different themes, subthemes and underlying concepts