Evaluation of Integrated Multisatellite Retrievals for GPM (IMERG) over Southern Canada against Ground Precipitation Observations: A Preliminary Assessment

Asong, Zilefac Elvis; Razavi, Saman; Wheater, H. S.; Wong, Jefferson S.

doi:10.1175/jhm-d-16-0187.1

Cited by 116 publications

(72 citation statements)

References 40 publications

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“…The GPM Core Observatory was launched on February 28, 2014 by a joint effort of NASA and the Japan Aerospace Exploration Agency (JAXA). Since then, several studies have examined whether the rainfall products from the GPM mission are capable to accurately estimate global precipitation [8,9,10,11,12] and provide the order of magnitude of discrepancies between observations and satellite products highlighting the reasons for such problems [13,14,15].…”

Section: Introductionmentioning

confidence: 99%

Performances of GPM satellite precipitation over the two major Mediterranean islands

Caracciolo

Francipane

Viola

et al. 2018

Atmospheric Research

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Abstract. Obtaining accurate high-resolution precipitation fields is still a challenging task. Nowadays, continuous technological evolution of satellite-rainfall estimate systems, which are able to produce low-cost data with a global coverage, are giving significant improvements in precipitation monitoring. The Global Precipitation Measurement (GPM) is the most recent satellite mission and a promising source of rainfall estimates at high spatial and temporal resolutions. The aim of this study is to assess the reliability of Integrated Multi-satellitE Retrievals for GPM (IMERG) products for the Sardinia and Sicily (Italy). Given the complex morphology and the different precipitation types, originated by stratiform and convective systems as well as by the interaction of steep orography in the coasts with winds carrying on humid air masses from the Mediterranean Sea, both the islands are interesting test sites for the GPM products in the European mid-latitude area. We selected the GPM post real-time "Final" run product at 0.1° spatial resolution and half-hour temporal resolution for the period 2015-2016. Evaluation and comparison of the selected product, at the hourly and daily time-scales, are performed by evaluating their consistence with measured data provided by the rain gauge networks of the two islands through statistical and graphical tools.

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Section: Introductionmentioning

confidence: 99%

Performances of GPM satellite precipitation over the two major Mediterranean islands

Caracciolo

Francipane

Viola

et al. 2018

Atmospheric Research

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“…The final product (WFDEI-GEM-CaPA, 1979-2016 is freely available at the Federated Research Data Repository at https://doi.org/10.20383/101.0111 (Asong et al, 2018), while the original (raw) and corrected CanRCM4 data are also freely available at https://doi.org/10.20383/101.0162 (Asong et al, 2019).…”

Section: Data Availabilitymentioning

confidence: 99%

High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin

Asong

Elshamy

Princz

et al. 2020

Earth Syst. Sci. Data

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Cold region hydrology is very sensitive to the impacts of climate warming. Impacts of warming over recent decades in western Canada include glacier retreat, permafrost thaw, and changing patterns of precipitation, with an increased proportion of winter precipitation falling as rainfall and shorter durations of snow cover, as well as consequent changes in flow regimes. Future warming is expected to continue along these lines. Physically realistic and sophisticated hydrological models driven by reliable climate forcing can provide the capability to assess hydrological responses to climate change. However, the provision of reliable forcing data remains problematic, particularly in data-sparse regions. Hydrological processes in cold regions involve complex phase changes and so are very sensitive to small biases in the driving meteorology, particularly in temperature and precipitation, including precipitation phase. Cold regions often have sparse surface observations, particularly at high elevations that generate a large amount of runoff. This paper aims to provide an improved set of forcing data for large-scale hydrological models for climate change impact assessment.

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“…Nevertheless, it is important to recognize that creating gridded products with finer spatial resolution than what input level-two products offer may not be suitable. While in this study we limited our analysis to few popular spatial and temporal resolutions, further analysis can include other resolutions and can be performed over a specific region [13], watershed, or at an event scale. Such analyses can provide additional insights on the type of observing systems or products needed for various studies.…”

Section: Summary and Concluding Remarksmentioning

confidence: 99%

On the Spatial and Temporal Sampling Errors of Remotely Sensed Precipitation Products

Behrangi¹,

Wen²

2017

Remote Sensing

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Observation with coarse spatial and temporal sampling can cause large errors in quantification of the amount, intensity, and duration of precipitation events. In this study, the errors resulting from temporal and spatial sampling of precipitation events were quantified and examined using the latest version (V4) of the Global Precipitation Measurement (GPM) mission integrated multi-satellite retrievals for GPM (IMERG), which is available since spring of 2014. Relative mean square error was calculated at 0.1 • × 0.1 • every 0.5 h between the degraded (temporally and spatially) and original IMERG products. The temporal and spatial degradation was performed by producing three-hour (T3), six-hour (T6), 0.5 • × 0.5 • (S5), and 1.0 • × 1.0 • (S10) maps. The results show generally larger errors over land than ocean, especially over mountainous regions. The relative error of T6 is almost 20% larger than T3 over tropical land, but is smaller in higher latitudes. Over land relative error of T6 is larger than S5 across all latitudes, while T6 has larger relative error than S10 poleward of 20 • S-20 • N. Similarly, the relative error of T3 exceeds S5 poleward of 20 • S-20 • N, but does not exceed S10, except in very high latitudes. Similar results are also seen over ocean, but the error ratios are generally less sensitive to seasonal changes. The results also show that the spatial and temporal relative errors are not highly correlated. Overall, lower correlations between the spatial and temporal relative errors are observed over ocean than over land. Quantification of such spatiotemporal effects provides additional insights into evaluation studies, especially when different products are cross-compared at a range of spatiotemporal scales.

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Evaluation of Integrated Multisatellite Retrievals for GPM (IMERG) over Southern Canada against Ground Precipitation Observations: A Preliminary Assessment

Cited by 116 publications

References 40 publications

Performances of GPM satellite precipitation over the two major Mediterranean islands

Performances of GPM satellite precipitation over the two major Mediterranean islands

High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin

On the Spatial and Temporal Sampling Errors of Remotely Sensed Precipitation Products

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