Our Current Projects

Agriculture RE-Analysis of Precipitation Data

Our first project, began 15 July 2014. It was a collaboration between GDA, CSU and aWhere, and involved processing five years of CSU’s historical satellite derived rainfall “actuals” estimate. These data have been collected since 2009, but only began to be processed in the fall of 2013. Processing these data and then provisioning it to aWhere’s publicly available cloud-based platform allows across the development community, research and academia to access these data sets and perform essential research on topics as import as the weather impacts of climate change. The project was successful and concluded in July 2015.

Rainfall and Weather Data for Development

Our second project began in November of 2014 and continues through Oct 2017. Similar to the first project, this project is focused on making agro-meteorological data available to users throughout the development community, including small-farmers, agriculture advisory services (public and private), ag-input supply organizations, research organizations, etc. We are pleased to again be partnered with aWhere, whose data are location specific and include historical – observed data back through 2008. This project has two closely related primary outcomes. Making these data more easily accessible and adaptable to the work flows of development community users is the “so what” of the project. The second outcome is crucial and includes efforts to sustain the long-term availability and access to these data for the same users. This project is made possible through a Bill and Melinda Gates Foundation funded grant.

Sub Saharan Africa Weather Station Project
This project began in the summer of 2014 and is ongoing. It is in partnership with two commercial companies: aWhere, Inc. and nSight International. The efforts are currently focused in West Africa with the installation of stations in Mali, Niger and Nigeria. The installation of these stations have a broader significance than ‘just another weather station.’ The data from these stations are made available via cloud-based service managed by aWhere, and these stations provide ground-truth feedback to calibrate/validate the satellite derived rainfall “actual” estimate provided multiple times per day. This project is intended as a small first step to working towards a broader Agriculture Intelligence and Monitoring Service.


The data from these projects will be input variables to GDA’s modeling efforts.

On the Horizon:
We have three additional projects in the development stage with our Rocky Mountain Consortium for Global Development partners.