Final response referee 1

Abstract

The authors thank the editor, reviewers, and third person s comments for time spent and efforts to improve the manuscript. We have revised the manuscript accordingly taking the reviewers and third person s comments into due consideration. Below follow answers to the reviewer s comments and description of actions taken. While the reviewers indicated that the article is of substantial interest and relevant for the journal they criticized the misleading title as well as the analysis to be "poorly exe-C1 NHESSD Interactive comment Printer-friendly version Discussion paper cuted". Furthermore, they reviewers indicated that the quality of the presented material is "not satisfactory" to support the results found. We agree with the reviewers in the sense that one major restriction to provide a sophisticated model between satellite imagery and agriculture risk is data limitation. However, the unavailability of data to be used for a sophisticated drought modelling approach are very common in a developing country context (World Bank 2016). One way to overcome this challenge is to apply a so-called iterative risk management approach, e.g. starting with baseline estimates using the best data currently available and updating risk estimates continuously over time (see IPCC 2012). Currently there are no studies for the Altiplano which relates satellite sourced imagery with agriculture risk, including possible associations with ENSO. The article tries to fill this gap. We acknowledge the fact that there are other studies in other countries which are using more sophisticated models, however, the situation in the Altiplano, especially the data limitations, restricts the use of such models and we provide a way forward to improve the data situation using high-resolution satellite imagery with a probabilistic approach for agriculture risk. Hence, for the current situation in Bolivia our approach can be regarded as one way forward, and can be used as a baseline case for further analysis in the future. As indicated, the situation is quite similar in other developing countries around the world and our approach can be seen as one way forward how to implement drought risk management under data scarcity including the important connection with the ENSO phenomenon. We also provided now much more detail on the strengths and limitations of the approach, including a detailed uncertainty analysis. Please find our detailed responses to the reviewer comments below.