These products provide a quick look for analysts to assess the agro-climatology of a country. Note that our Potential Evapotranspiration dataset uses a different. We have also developed a knowledge base for over 80 countries that provide rainfall and NDVI-based products, including annual and seasonal summaries, historical anomalies, coefficient of variation, and number of years below 70% of annual or seasonal averages. Created by FEWS NET, the new version 5 (v5) dataset will provide even more accurate. Organizing these data for a user-specified area provides a valuable tool for food security analysts to better formulate agro-climatology assumptions that feed into food security assessments. Satellite-based rainfall and normalized difference vegetation index (NDVI)-based products support both the climatology and monitoring steps, sea-surface temperature data and knowledge of the global climate system inform the climate modes, and precipitation forecasts at multiple scales support the interpretation of forecast information. ![]() To support such analyses, we have created an agro-climatology analysis tool that characterizes each step in the assumption building process. ![]() Excellent computer skills GIS applications and mapping skills are an advantage. Each subsequent step in the process can lead to modifications of the original climatology assumption. Famine Early Warning Systems Network (FEWS NET) is an integrated set of. Once the growing season begins, monitoring data, based on remote sensing and field information, can characterize the start of season and remain integral monitoring tools throughout the duration of the season. Within two months of the growing season, analysts can evaluate seasonal forecast information as indicators. A few months prior to the growing season, analysts can assess large-scale climate modes that might influence seasonal outcomes. Analysts routinely forecast outcomes well in advance of the growing season, which relies on knowledge of climatology. There are four primary steps to developing agro-climatology assumptions including: 1) understanding the climatology, 2) evaluating current climate modes, 3) interpretation of forecast information, and 4) incorporation of monitoring data. The USGS Earth Resources Observation and Science (EROS) Center has developed tools designed to aid food security analysts in developing assumptions of agro-climatological outcomes. Geological Survey (USGS) supports the use of Earth observation data for food security monitoring through its role as an implementing partner of the Famine Early Warning Systems Network (FEWS NET). In Uganda, we are examining how graduation programs can contribute to improvements in livelihoods for refugees and host populations.The U.S.In Bangladesh, AIR used a quasi-experimental study to assess the impact of an early childhood nutrition program.AIR implemented a mixed-methods evaluation to determine the impact of a comprehensive nutrition program in Zambia.We are conducting a randomized controlled trial to examine the impact of an agricultural extension program in Ethiopia.The Food Security Third Party Monitoring project provides critical, near real-time analysis to support targeting of life-saving support in some of the world’s most crisis-prone locations.AIR’s wholly owned subsidiary Kimetrica manages the Learning and Data Hub, part of USAID's Famine Early Warning Systems Network (FEWS NET) project, to share, and facilitate the application of early warning and agroclimatic analysis and data to help meet the goal of sustainably preventing food insecurity and famine.Recent examples of work include the following: In humanitarian settings with limited access to survey data, AIR uses a combination of technologically advanced data collection methods with traditional observant monitoring to track trends in food prices and food security. In its latest report on food security and nutrition, The United Nations Food and Agriculture Organization estimated that, in 2020, nearly two billion people faced moderate or severe food insecurity, disproportionately affecting women and children.ĪIR brings vast experience designing and implementing mixed-methods studies, randomized controlled trials, quasi-experimental studies, performance evaluations, third-party monitoring, and costing analysis with an emphasis on food security, agriculture, and nutrition. style file for ArcGIS and as txt file with RGB color codes. ![]() 2003 2017) are available at: The actual ET data unit is millimeters (mm) and the associated color ramp (see Figure 1a.) is available for download as a. Food insecurity and malnutrition, primarily in low- and middle-income countries, continue to be a global challenge, exacerbated by COVID-19. ETa data and anomaly products (current vs.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |