SAFARI 2000 FEWS 10-day Rainfall Estimate, 8-Km, 1999-2001

The U.S. Agency for International Development (USAID) Famine Early Warning System (FEWS) has been supporting the production of 10-day Rainfall Estimate (RFE) data for Africa since 1995. The FEWSNET project was established with the goal of reducing the incidence of drought- or flood-induced famine by providing decision makers with timely and accurate information on conditions that may require intervention. RFE data for continental Africa for 1999, 2000, and 2001 were downloaded the from the African Data Dissemination Service (ADDS) site and were subset for southern Africa by the SAFARI 2000 data group. The RFE 1.0 algorithm, implemented from 1995 to 2000, uses an interpolation method to combine Meteosat and Global Telecommunication System (GTS) data, and warm cloud information for the 10-day estimations. The 30-minute geostationary Meteosat-7 satellite infrared data are used to estimate convective rainfall from areas where cloud top temperatures are less than 235K. The RFE 2.0 algorithm, implemented as of January 1, 2001, uses additional techniques to better estimate precipitation while continuing the use of cold cloud duration and station rainfall data.

自1995年起，美国国际开发署（USAID）的饥荒早期预警系统（FEWS）一直支持非洲10日降雨量估算（RFE）数据的生产。FEWSNET项目旨在通过为决策者提供及时准确的信息，关于可能需要干预的条件，以降低干旱或洪水引发的饥荒发生率。1999年、2000年和2001年非洲大陆的RFE数据已从非洲数据传播服务（ADDS）网站下载，并由SAFARI 2000数据小组进行子集处理，以涵盖南部非洲地区。RFE 1.0算法自1995年至2000年实施，采用插值方法结合Meteosat和全球电信系统（GTS）数据，以及用于10日估算的暖云信息。30分钟地球同步Meteosat-7卫星红外数据用于估算云顶温度低于235K区域的对流降雨。自2001年1月1日起实施的RFE 2.0算法，在继续使用冷云持续时间和站降雨数据的同时，采用了额外的技术以更好地估算降水量。