Felipe M. de Andrade

Felipe M. de Andrade
National Institute for Space Research, Brazil | inpe

PhD

About

12
Publications
2,921
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241
Citations
Citations since 2017
12 Research Items
239 Citations
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2017201820192020202120222023020406080
2017201820192020202120222023020406080

Publications

Publications (12)
Article
Full-text available
A significant proportion of the population in Sub-Saharan Africa are vulnerable to extreme climatic conditions, hence there is a high demand for climate information. In response to this need, the Global Challenges Research Fund African Science for Weather Information and Forecasting Techniques has been undertaking a two-year testbed to co-produce t...
Article
Full-text available
Forecasts on sub-seasonal to seasonal (S2S) timescales have huge potential to aid preparedness and disaster risk reduction planning decisions in a variety of sectors. However, realising this potential depends on the provision of reliable information that can be appropriately applied in the decision-making context of users. This study describes the...
Article
Full-text available
Africa is poised for a revolution in the quality and relevance of weather predictions, with potential for great benefits in terms of human and economic security. This revolution will be driven by recent international progress in nowcasting, numerical weather prediction, theoretical tropical dynamics and forecast communication, but will depend on su...
Article
New real-time sub-seasonal forecast information is aiding preparedness and disaster risk reduction decisions in key flood- and drought-vulnerable sectors across Africa and enabling significant progress in sub-Saharan Africa towards the UN Sustainable Development Goals. These services are demonstrating the potential for wider development of sub-seas...
Article
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This paper evaluates sub-seasonal precipitation forecasts for Africa using hindcasts from three models (ECMWF, UKMO, and NCEP) participating in the Subseasonal to Seasonal (S2S) prediction project. A variety of verification metrics are employed to assess weekly precipitation forecast quality at lead times of one to four weeks ahead (Weeks 1-4) duri...
Article
Full-text available
The safety of vulnerable coastal and offshore infrastructures requires an in-depth understanding of wave variability and climate drivers. We investigate the association of significant wave height (Hs) and peak wave period (Tp) with the co-occurrence of El Niño–Southern Oscillation (ENSO) and the Madden–Julian Oscillation (MJO) at the global scale....
Article
Full-text available
Weather and climate variations on subseasonal to decadal time scales can have enormous social, economic, and environmental impacts, making skillful predictions on these time scales a valuable tool for decision-makers. As such, there is a growing interest in the scientific, operational, and applications communities in developing forecasts to improve...
Article
Full-text available
This study assessed subseasonal global precipitation hindcast quality from all Subseasonal to Seasonal (S2S) prediction project models. Deterministic forecast quality of weekly accumulated precipitation was verified using different metrics and hindcast data considering lead times up to 4 weeks. The correlation scores were found to be higher during...
Article
Full-text available
This paper proposes a verification framework for South American sub-seasonal (weekly accumulated) precipitation predictions produced one to four weeks in advance. The framework assesses both hindcast and near real time forecast quality focusing on a selection of attributes (association, accuracy, discrimination, reliability and resolution). These a...
Article
The significant wave height (Hs) variability caused by wind anomalies associated with the co-occurrence of the Madden-Julian Oscillation (MJO) and El Niño–Southern Oscillation (ENSO) was investigated in the New Zealand region. For this purpose, Hs and wind anomalies composites were created using 23 years (1979–2002) of modelled data during November...
Article
Full-text available
The spatial and temporal variability patterns of the urban heat island (UHI) in the metropolitan area of Sao Paulo (MASP) were investigated using hourly temperature observations for a 10-year period from January 2002 to December 2011. The empirical orthogonal function (EOF) and cluster analysis (CA) techniques for multivariate analysis were used to...

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Projects (2)