21 research outputs found

    The use of remotely sensed rainfall for managing drought risk: a case study of weather index insurance in Zambia

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    Remotely sensed rainfall is increasingly being used to manage climate-related risk in gauge sparse regions. Applications based on such data must make maximal use of the skill of the methodology in order to avoid doing harm by providing misleading information. This is especially challenging in regions, such as Africa, which lack gauge data for validation. In this study, we show how calibrated ensembles of equally likely rainfall can be used to infer uncertainty in remotely sensed rainfall estimates, and subsequently in assessment of drought. We illustrate the methodology through a case study of weather index insurance (WII) in Zambia. Unlike traditional insurance, which compensates proven agricultural losses, WII pays out in the event that a weather index is breached. As remotely sensed rainfall is used to extend WII schemes to large numbers of farmers, it is crucial to ensure that the indices being insured are skillful representations of local environmental conditions. In our study we drive a land surface model with rainfall ensembles, in order to demonstrate how aggregation of rainfall estimates in space and time results in a clearer link with soil moisture, and hence a truer representation of agricultural drought. Although our study focuses on agricultural insurance, the methodological principles for application design are widely applicable in Africa and elsewhere

    Extension of the TAMSAT satellite-based rainfall monitoring over Africa and from 1983 to present

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    Tropical Applications of Meteorology Using Satellite Data and Ground-Based Observations (TAMSAT) rainfall monitoring products have been extended to provide spatially contiguous rainfall estimates across Africa. This has been achieved through a new, climatology-based calibration, which varies in both space and time. As a result, cumulative estimates of rainfall are now issued at the end of each 10-day period (dekad) at 4-km spatial resolution with pan-African coverage. The utility of the products for decision making is improved by the routine provision of validation reports, for which the 10-day (dekadal) TAMSAT rainfall estimates are compared with independent gauge observations. This paper describes the methodology by which the TAMSAT method has been applied to generate the pan-African rainfall monitoring products. It is demonstrated through comparison with gauge measurements that the method provides skillful estimates, although with a systematic dry bias. This study illustrates TAMSAT’s value as a complementary method of estimating rainfall through examples of successful operational application

    What Do(n't) American Undergraduate Social Work Students Learn About Sex? A Content Analysis of Sex Positivity and Diversity in Five Popular HBSE Textbooks

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    Despite an emphasis within American social work to operationalize important professional values, such as embracing human diversity and promoting social justice, it is not clear how this may or may not occur with respect to human sexuality and sexual practices. In considering this issue, the present study employed a thorough content analysis of undergraduate level Human Behavior and the Social Environment (HBSE) textbooks in order to explore how human sexuality and sexual practices are presented to undergraduate college students. Specifically, this study focused on the extent that texts in the sample reflect sexual diversity and sex positivity, which are consistent with key social work values, and thus how such texts may shape students’ professional views of sexuality. Findings suggest that the educational presentation of sexuality and sexual practices varies across HBSE texts in terms of embracing sexual diversity and promoting sex-positivity
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