Comparison of TRMM 2A25 Products, Version 6 and Version 7, with NOAA/NSSL Ground Radar-Based National Mosaic QPE
Comparison of TRMM 2A25 Products, Version 6 and Version 7, with NOAA/NSSL Ground Radar-Based National Mosaic QPE
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DOI：
10.1175/jhm-d-12-030.1
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发表时间：
2013-04
影响因子：
3.8
通讯作者：
P. Kirstetter;P. Kirstetter;Y. Hong;J. Gourley;M. Schwaller;W. Petersen;Jian Zhang
中科院分区：
文献类型：
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作者：
P. Kirstetter;P. Kirstetter;Y. Hong;J. Gourley;M. Schwaller;W. Petersen;Jian Zhang
对与卫星降雨量估计有关的误差进行定性是确定性和概率性框架的一个必要组成部分，其中涉及用于从水量平衡研究到与极端降雨事件有关的自然灾害预测等各种应用的星载无源和有源微波测量。作者在这里集中在热带降雨测量使命（TRMM）降水雷达（PR）定量降水估计（QPE）在地面上的相对误差结构，通过比较2A 25产品与来自NOAA/NSSL的基于地面雷达的国家马赛克和QPE系统（NMQ/Q2）的参考值。本研究的主要贡献是比较新的2A 25版本7（V7）与最近发布的版本6（V6）替代产品。此外，作者还提供了降雨产品的不确定性估计，以便它们可以以定量的方式用于水文建模等应用。这个新版本被认为上级陆地地区，可能是TRMM PR降雨估计的最终版本。两个版本的几个方面进行了比较和量化，包括降雨率分布，系统偏差和随机误差。所有分析表明，与V6相比，V7与参考降雨更接近。
Characterization of the error associated with satellite rainfall estimates is a necessary component of deterministic and probabilistic frameworks involving spaceborne passive and active microwave measurements for applications ranging from water budget studies to forecasting natural hazards related to extreme rainfall events. The authors focus here on the relative error structure of Tropical Rainfall Measurement Mission (TRMM) precipitation radar (PR) quantitative precipitation estimation (QPE) at the ground by comparison of 2A25 products with reference values derived from NOAA/NSSL’s ground radar‐based National Mosaic and QPE system (NMQ/Q2). The primary contribution of this study is to compare the new 2A25, version 7 (V7), products that were recently released as a replacement of version 6 (V6). Moreover, the authorssupply uncertainty estimates of the rainfall productsso that they may be used in a quantitative manner for applications like hydrologic modeling. This new version is considered superior over land areas and will likely be the final version for TRMM PR rainfall estimates. Several aspects of the two versions are compared and quantified, including rainfall rate distributions, systematic biases, and random errors. All analyses indicate that V7 is in closer agreement with the reference rainfall compared to V6.