季风期间印度多卫星降雨产品的评估

A. Mitra, S. Prakash, D. S. Pai, A. K. Srivastava
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引用次数: 1

摘要

从日到季节的尺度上模拟和预测印度季风降雨是全球数值模拟界面临的一项具有挑战性的任务。陆地和海洋区域都需要对日降雨数据进行网格化估计,以便进行模式验证、过程研究,进而用于模式开发。由于卫星气象学的最新发展,通过将卫星估计与雨量计值和其他可用的现场观测相结合,可以在业务基础上产生现实的近实时网格化降雨数据集。基于微波和天基雷达的降雨估计已经彻底改变了降雨数据集的编制,特别是热带地区的降雨数据集。然而,在印度季风区可以从各种来源获得各种多卫星产品。TRMM TMPA3B42 (RT和V7)、GsMaP、CPC/RFE、GPCP和GPM等流行产品可供最终用户在各种空间/时间尺度上进行应用和模型验证。在这项研究中,我们展示了来自印度地区各种多卫星产品的季风降雨的表现和技巧。根据基于量规的观测评估了多卫星降雨的偏差和技巧。结果表明,基于TRMM的TMPA是印度季风区最好的数据集之一。尝试将最新的基于GPM的数据与其他产品进行比较。与TRMM相比,基于GPM的降雨产品被认为是优越的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of multi-satellite rainfall products over India during monsoon
Simulation and prediction of Indian monsoon rainfall at scales from days-to-season is a challenging task for numerical modelling community worldwide. Gridded estimates of daily rainfall data are required for both land and oceanic regions for model validation, process studies and in turn for model development. Due to recent developments in satellite meteorology, it has become possible to produce realistic near real-time gridded rainfall datasets at operational basis by combining satellite estimates with rain gauge values and other available in-situ observations. Microwave and space based radar based estimates of rainfall has revolutionised the preparation of rainfall datasets especially for tropics. However, a variety of multi-satellite products are available over Indian monsoon region from a variety of sources. Popular products like TRMM TMPA3B42 (RT and V7), GsMaP, CPC/RFE, GPCP and GPM are available to end users in various space/time scales for applications and model validation. In this study, we show the representation and skill of monsoon rainfall from a variety of multi-satellite products over the Indian region. The bias and skill of multi-satellite rainfall are evaluated against gauge based observations. It was found that the TRMM based TMPA was one of the best dataset for Indian monsoon region. Attempt is made to compare the latest GPM based data with other products. The GPM based rainfall product is seen to be superior compared to TRMM.
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