Hydrologic Assessment of IMERG Products Across Spatial Scales over Iowa

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Hydrometeorology Pub Date : 2023-03-20 DOI:10.1175/jhm-d-22-0129.1
B. Seo, F. Quintero, W. Krajewski
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Abstract

IMERG provides the state-of-the-art satellite-based precipitation estimates that combine observations from multiple satellite platforms. This study evaluates IMERG products by examining hydrologic simulations of streamflow at a range of spatial scales. The main objective of this study is to assess the predictive utility of the near real-time product (IMERG-Early). The assessment also includes the IMERG-Final product that is not available in real time. The authors used MRMS precipitation estimates and USGS streamflow observation data as references for the precipitation and streamflow evaluations during a five-year period (2016–2020). The precipitation evaluation results show that IMERG-Early yields significant overestimations, particularly during warm months, with higher variability in its conditional distributions, whereas the performance of IMERG-Final seems unbiased. The authors performed hydrologic simulations using the Iowa Flood Center’s Hillslope Link Model with three precipitation forcing products i.e., MRMS, IMERG-Early, and IMERG Final. The simulation results reveal that IMERG-Early leads to high hit and false alarm rates due to its overestimation in precipitation and has almost no skill, as measured by the overall performance metric KGE, in streamflow prediction regarding basin scales ranging from 10 to 30,000 km2. This indicates that the product requires a bias correction before it is useful for real-time flood prediction. The streamflow prediction performance of IMERG-Final seems comparable to that of MRMS at spatial scales greater than 100 km2. This scale limitation is attributable to IMERG’s product spatial resolution that is inadequate to capture the small-scale variability of precipitation.
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爱荷华州跨空间尺度IMERG产品的水文评价
IMERG结合多个卫星平台的观测数据,提供最先进的基于卫星的降水估计。本研究通过在一定的空间尺度上对河流的水文模拟来评估IMERG产品。本研究的主要目的是评估近实时产品(imergi - early)的预测效用。评估还包括无法实时获得的imerge - final产品。以MRMS降水估算值和USGS流量观测数据为参考,对5年(2016-2020年)降水和流量进行了评价。降水评估结果表明,imergr - early产生了显著的高估,特别是在温暖的月份,其条件分布具有较高的变异性,而imergr - final的表现似乎是无偏倚的。作者使用爱荷华州洪水中心的山坡连接模型进行了水文模拟,其中包括三个降水强迫产品,即MRMS, IMERG- early和IMERG Final。模拟结果表明,在10 ~ 30000 km2流域尺度的流量预测中,imergi - early由于对降水的过高估计导致了较高的命中率和虚警率,并且在总体性能指标KGE的测量中几乎没有技巧。这表明该产品在用于实时洪水预测之前需要进行偏差校正。在大于100 km2的空间尺度上,imerge - final的预测效果与MRMS相当。这种尺度限制是由于IMERG的产品空间分辨率不足以捕捉降水的小尺度变率。
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来源期刊
Journal of Hydrometeorology
Journal of Hydrometeorology 地学-气象与大气科学
CiteScore
7.40
自引率
5.30%
发文量
116
审稿时长
4-8 weeks
期刊介绍: The Journal of Hydrometeorology (JHM) (ISSN: 1525-755X; eISSN: 1525-7541) publishes research on modeling, observing, and forecasting processes related to fluxes and storage of water and energy, including interactions with the boundary layer and lower atmosphere, and processes related to precipitation, radiation, and other meteorological inputs.
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