Weather Surfaces: Targeting for the Final Mile

07/15/13
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aWhere’s daily weather surfaces (available in 9km grid cells) are optimized to deliver key weather variables on a daily basis. These interpolated grids are never missing data. This enables users to confidently create and exercise bioclimatic indicators.

Bioclimatic indicators could be as simple as a heat stress model or as complex as a crop simulation model. When weather data is viewed over an entire area of interest - rather than in a single grid cell - the resultant ‘map view’ enables more precise spatial and temporal targeting of activities, interventions, and investments. With these weather surfaces, users can target or prioritize where, within their area of interest; effort should be focused or concentrated. The final mile – reaching individual farmers or families – is easier to achieve when you know in advance that your effort can be focused in a more specific area within your larger target region.

Weather Surfaces: Targeting for the Final Mile

This image shows weather variables spread across a region. Given this information, an agricultural NGO monitoring plant water availability would be able to quickly visualize drought patterns and target areas for different types of interventions. For example, it is immediately apparent that the areas in blue (receiving 80-100% normal rainfall) will see the greatest ROI of fertilizer application. Recommendations can be targeted to farmers receiving sufficient rainfall, thereby ensuring they have the support they need to see a successful harvest.

This is final mile messaging.

The data shown in this map are made possible through the incorporation of satellite derived rainfall data through Colorado State University, available August 2013 through the aWhere Weather module. With more accurate rainfall data, the actual spatial extent of ‘drought’ can be more completely understood and appropriate responses targeted.

aWhere assists users who desire weather data covering their area of interest – all the grid cells. Our plan is to implement an API that enables users to pull these data at will. For now, users can either click and download each grid cell of interest through the on-line module or send a request to us (lizzyleighty@awhere.com) along with a shape file delimiting your area of interest.

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