US Geological Survey National Center for Earth Resource Observation & Science (EROS), Sioux Falls, South Dakota 57198-0001, USA ; UC Santa Barbara Climate Hazards Group, Geography Department, UCSB, Santa Barbara, California 93106-4060, USA.
Earth, Ocean and Atmospheric Science, Florida State University , Tallahassee, Florida 32306-4520, USA.
Sci Data. 2015 Sep 29;2:150050. doi: 10.1038/sdata.2015.50. eCollection 2015.
East Africa is a drought prone, food and water insecure region with a highly variable climate. This complexity makes rainfall estimation challenging, and this challenge is compounded by low rain gauge densities and inhomogeneous monitoring networks. The dearth of observations is particularly problematic over the past decade, since the number of records in globally accessible archives has fallen precipitously. This lack of data coincides with an increasing scientific and humanitarian need to place recent seasonal and multi-annual East African precipitation extremes in a deep historic context. To serve this need, scientists from the UC Santa Barbara Climate Hazards Group and Florida State University have pooled their station archives and expertise to produce a high quality gridded 'Centennial Trends' precipitation dataset. Additional observations have been acquired from the national meteorological agencies and augmented with data provided by other universities. Extensive quality control of the data was carried out and seasonal anomalies interpolated using kriging. This paper documents the CenTrends methodology and data.
东非是一个干旱多发、粮食和水不安全的地区,气候多变。这种复杂性使得降雨估计具有挑战性,而雨量计密度低和监测网络不均匀进一步增加了这一挑战。过去十年,观测数据的缺乏尤其成问题,因为可在全球获取的档案中的记录数量急剧下降。数据的缺乏恰逢科学和人道主义对将最近的季节性和多年期东非降水极值置于深刻的历史背景中的需求不断增加。为了满足这一需求,来自加州大学圣巴巴拉分校气候灾害小组和佛罗里达州立大学的科学家们汇集了他们的台站档案和专业知识,制作了一个高质量的网格化“百年趋势”降水数据集。还从各国气象机构获取了额外的观测数据,并补充了其他大学提供的数据。对数据进行了广泛的质量控制,并使用克里金插值法对季节异常值进行了插值。本文介绍了 CenTrends 的方法和数据。