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Stephen J. Connor

Researcher at Columbia University

Publications -  75
Citations -  6505

Stephen J. Connor is an academic researcher from Columbia University. The author has contributed to research in topics: Malaria & Public health. The author has an hindex of 40, co-authored 75 publications receiving 6011 citations. Previous affiliations of Stephen J. Connor include Medical Research Council & European Centre for Medium-Range Weather Forecasts.

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Validation of satellite rainfall products over East Africa's complex topography

TL;DR: In this article, an extensive evaluation of 10 different satellite rainfall products was performed using station network over a complex topography, where elevation varies from below sea level to 4620 m. Evaluation was for two groups of products: low spatial (2.5°) and temporal (monthly) resolution, and the Tropical Rainfall Measuring Mission (TRMM-3B43).
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Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa

TL;DR: In this paper, the authors explore the possibility of retrieving high-resolution near surface air temperature (Ta) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) Ts products over different ecosystems in Africa.
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Malaria early warnings based on seasonal climate forecasts from multi-model ensembles

TL;DR: The development of a system to forecast probabilities of anomalously high and low malaria incidence with dynamically based, seasonal-timescale, multi-model ensemble predictions of climate, using leading global coupled ocean–atmosphere climate models developed in Europe is discussed.
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Validation of high-resolution satellite rainfall products over complex terrain

TL;DR: In this article, high-resolution satellite rainfall products, at daily accumulation and 0.25° spatial resolution, are evaluated using station networks located over two different parts of Africa, in which the first site is located over Ethiopia with a very complex terrain and the second site, located over Zimbabwe, has a less rugged topography.
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Use of rainfall and sea surface temperature monitoring for malaria early warning in botswana

TL;DR: A methodology for assessing the importance of climate as a driver of inter-annual variability in malaria in Botswana is reported, and the evidence base for inclusion of climate information in a national malaria early warning system is provided.