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Summer Precipitation Frequency, Intensity, and Diurnal Cycle over China: A Comparison of Satellite Data with Rain Gauge Observations

TLDR
In this article, the satellite data was used to characterize East Asian summer monsoon rainfall, including spatial patterns in June-August mean precipitation amount, frequency, and intensity, as well as the diurnal and semidiurnal cycles.
Abstract
Hourly or 3-hourly precipitation data from Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) and Tropical Rainfall Measuring Mission (TRMM) 3B42 satellite products and rain gauge records are used to characterize East Asian summer monsoon rainfall, including spatial patterns in June–August (JJA) mean precipitation amount, frequency, and intensity, as well as the diurnal and semidiurnal cycles. The results show that the satellite products are comparable to rain gauge data in revealing the spatial patterns of JJA precipitation amount, frequency, and intensity, with pattern correlation coefficients for five subregions ranging from 0.66 to 0.94. The pattern correlation of rainfall amount is higher than that of frequency and intensity. Relative to PERSIANN, the TRMM product has a better resemblance with rain gauge observations in terms of both the pattern correlation and rootmean-square error. The satellite products overestimate rainfall frequency but underestimate its intensity. The diurnal (24 h) harmonic dominates subdaily variations of precipitation over most of eastern China. A late-afternoon maximum over southeastern and northeastern China and a near-midnight maximum over the eastern periphery of the Tibetan Plateau are seen in the rain gauge data. The diurnal phases of precipitation frequency and intensity are similar to those of rainfall amount in most regions, except for the middle Yangtze River valley. Both frequency and intensity contribute to the diurnal variation of rainfall amount over most of eastern China. The contribution of frequency to the diurnal cycle of rainfall amount is generally overestimated in both satellite products. Both satellite products capture well the nocturnal peak over the eastern periphery of the Tibetan Plateau and the late-afternoon peak in southern and northeastern China. Rain gauge data over the region between the Yangtze and Yellow Rivers show two peaks, with one in the early morning and the other later in the afternoon. The satellite products only capture the major late-afternoon peak.

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Journal ArticleDOI

Precipitation seasonality and variability over the Tibetan plateau as resolved by the High Asia reanalysis

TL;DR: In this paper, the characteristics and basic features of precipitation on the Tibetan Plateau during an 11-yr period (2001-11) are described on monthly-to-annual time scales.
Journal ArticleDOI

Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales

TL;DR: In this article, the authors compared the performance of IMERG and 3B42V7 at both sub-daily and daily timescales, and all the three spatial scales, and showed that IMERG can better reproduce the probability density function (PDF) in terms of precipitation intensity, particularly in the low ranges.
Journal ArticleDOI

Performance of high‐resolution satellite precipitation products over China

TL;DR: In this article, a gauge-based analysis of hourly precipitation is constructed on a 0.25° latitude/longitude grid over China for a 3 year period from 2005 to 2007 by interpolating gauge reports from ∼2000 stations collected and quality controlled by the National Meteorological Information Center of the China Meteorological Administration.

First-Year Evaluation of GPM Day-1 IMERG and TMPA Version-7 Legacy Products over Mainland China at Multiple Spatiotemporal Scales

TL;DR: In this article, the authors compared the performance of IMERG and 3B42V7 at both sub-daily and daily timescales, and all the three spatial scales, and showed that IMERG can better reproduce the probability density function (PDF) in terms of precipitation intensity, particularly in the low ranges.
Journal ArticleDOI

Evaluation of satellite-retrieved extreme precipitation rates across the central United States

TL;DR: AghaKouchak et al. as discussed by the authors evaluated four satellite-derived precipitation products (CMORPH, PERSIANN, TMPA-RT, and TMPAV6) with respect to their performance in capturing precipitation extremes.
References
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Journal ArticleDOI

The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales

TL;DR: The TRMM Multi-Satellite Precipitation Analysis (TMPA) as discussed by the authors provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales.
Journal ArticleDOI

The Changing Character of Precipitation

TL;DR: In this article, precipitation intensity, duration, frequency, and phase are as much of concern as total amounts, as these factors determine the disposition of precipitation once it hits the ground and how much runs off.
Journal ArticleDOI

Evaluation of PERSIANN system satellite-based estimates of tropical rainfall

TL;DR: PERSIANN as discussed by the authors is an automated system for precipitation estimation from Remotely Sensed Information using Artificial Neural Networks, which is developed for the estimation of rainfall from geosynchronous satellite longwave infared imagery (GOES-IR) at a resolution of 0.25° × 0.75° every half-hour.
Journal ArticleDOI

Precipitation Characteristics in Eighteen Coupled Climate Models

TL;DR: In this article, the authors analyzed the mean spatial patterns, intraseasonal-to-interannual and ENSO-related variability, convective versus stratiform precipitation ratio, precipitation frequency and intensity for different precipitation categories, and diurnal cycle.
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