Andrew Bowell
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View article: Forecasting vegetation condition with a Bayesian auto-regressive distributed lags (BARDL) model
Forecasting vegetation condition with a Bayesian auto-regressive distributed lags (BARDL) model Open
Droughts form a large part of climate- or weather-related disasters reported globally. In Africa, pastoralists living in the arid and semi-arid lands (ASALs) are the worse affected. Prolonged dry spells that cause vegetation stress in thes…
View article: A dynamic hierarchical Bayesian approach for forecasting vegetation condition
A dynamic hierarchical Bayesian approach for forecasting vegetation condition Open
Agricultural drought, which occurs due to a significant reduction in the moisture required for vegetation growth, is the most complex amongst all drought categories. The onset of agriculture drought is slow and can occur over vast areas wi…
View article: Forecasting agricultural drought using VCI and VHI across Africa
Forecasting agricultural drought using VCI and VHI across Africa Open
<p>Droughts are complex and a major threat globally as they can cause substantial damage to society, especially in regions that depend on rain-fed agriculture. It is understood that acting early based on alerts provided by early warn…
View article: Comment on nhess-2021-290
Comment on nhess-2021-290 Open
Abstract. Agricultural drought, which occurs due to a significant reduction in the moisture required for vegetation growth, is the most complex amongst all drought categories. The onset of agriculture drought is slow and can occur over vas…
View article: Comment on nhess-2021-223
Comment on nhess-2021-223 Open
Abstract. Droughts form a large part of climate- or weather-related disasters reported globally. In Africa, pastoralists living in the arid and semi-arid lands (ASALs) are the worse affected. Prolonged dry spells that cause vegetation str…
View article: Comment on nhess-2021-290
Comment on nhess-2021-290 Open
Abstract. Agricultural drought, which occurs due to a significant reduction in the moisture required for vegetation growth, is the most complex amongst all drought categories. The onset of agriculture drought is slow and can occur over vas…
View article: A Dynamic Hierarchical Bayesian Approach for Forecasting Vegetation Condition
A Dynamic Hierarchical Bayesian Approach for Forecasting Vegetation Condition Open
Agricultural drought, which occurs due to a significant reduction in the moisture required for vegetation growth, is the most complex amongst all drought categories. The onset of agriculture drought is slow and can occur over vast areas wi…
View article: Comment on nhess-2021-223
Comment on nhess-2021-223 Open
Abstract. Droughts form a large part of climate/weather-related disasters reported globally. In Africa, pastoralists living in the Arid and Semi-Arid Lands (ASALs) are the worse affected. Prolonged dry spells that cause vegetation stress i…
View article: Forecasting Vegetation Condition with a Bayesian Auto-regressive Distributed Lags (BARDL) Model
Forecasting Vegetation Condition with a Bayesian Auto-regressive Distributed Lags (BARDL) Model Open
Droughts form a large part of climate/weather-related disasters reported globally. In Africa, pastoralists living in the Arid and Semi-Arid Lands (ASALs) are the worse affected. Prolonged dry spells that cause vegetation stress in these re…
View article: Validating commonly used drought indicators in Kenya
Validating commonly used drought indicators in Kenya Open
Drought is a complex natural hazard that can occur in any climate and affect every aspect of society. To better prepare and mitigate the impacts of drought, various indicators can be applied to monitor and forecast its onset, intensity, an…
View article: Validating commonly-used drought indicators in Kenya
Validating commonly-used drought indicators in Kenya Open
Drought is a complex natural hazard that can occur in any climate and affect every aspect of society. To better prepare and mitigate the impacts of drought, various indicators have been developed to monitor and forecast its onset, intensit…