Hydrology and Earth System Sciences Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia
Hydrology and Earth System Sciences Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia
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发表时间：
2014
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通讯作者：
R. Vernimmen;A. Hooijer;Mamenun;E. Aldrian;A. Dijk
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作者：
R. Vernimmen;A. Hooijer;Mamenun;E. Aldrian;A. Dijk
通过与印度尼西亚网格单元平均地面站降雨量数据进行比较，对三个卫星降雨量产品（TMPA 3B42RT、CMORPH和PERSIANN）的准确性进行了调查，重点是它们探测可能导致干旱状况的低降雨量模式的能力。这三种产品都低估了旱季月份的降雨量。CMORPH和PERSIANN数据与地面站数据差异最大，与TMPA 3B42RT数据也有很大差异。证明了通过应用在空间和时间上均匀的单一经验偏倚校正方程来改进TMPA 3B42RT估计值是可能的。对于调查的六个地区，这减少了旱季降雨总量估计值的均方根误差平均为9%（从44到40毫米），年降雨总量估计值的均方根误差平均为14%（从77到66毫米）。由此产生的误差分别占旱季平均降雨量和年降雨量的10%和3%。这些偏差校正TMPA 3B42RT数据的准确性被认为是足够的实时干旱监测在印度尼西亚使用。与仅用地面站进行干旱监测相比，使用卫星降雨量估计在准确性、空间覆盖面、及时性和成本效益方面具有重要优势。
The accuracy of three satellite rainfall products (TMPA 3B42RT, CMORPH and PERSIANN) was investigated through comparison with grid cell average ground station rainfall data in Indonesia, with a focus on their ability to detect patterns of low rainfall that may lead to drought conditions. Each of the three products underestimated rainfall in dry season months. The CMORPH and PERSIANN data differed most from ground station data and were also very different from the TMPA 3B42RT data. It proved possible to improve TMPA 3B42RT estimates by applying a single empirical bias correction equation that was uniform in space and time. For the six regions investigated, this reduced the root mean square error for estimates of dry season rainfall totals by a mean 9 % (from 44 to 40 mm) and for annual totals by 14 % (from 77 to 66 mm). The resulting errors represent 10 % and 3 % of mean dry season and annual rainfall, respectively. The accuracy of these bias corrected TMPA 3B42RT data is considered adequate for use in realtime drought monitoring in Indonesia. Compared to drought monitoring with only ground stations, this use of satellitebased rainfall estimates offers important advantages in terms of accuracy, spatial coverage, timeliness and cost efficiency.