The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation

Adler, Robert F.; Sapiano, Mathew R. P.; Huffman, George J.; Wang, Jianjian; Gu, Guojun; Bolvin, David T.; Chiu, Long S.; Schneider, Ulrike; Becker, Andreas; Nelkin, Eric; Xie, Pingping; Ferraro, Ralph; Shin, Dong Bin

doi:10.3390/atmos9040138

Cited by 704 publications

(551 citation statements)

References 21 publications

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“…Adler et al . () has also used it to compare the most up‐to‐date satellite rainfall products and shows that not all products capture the expected air–sea coupling during ENSO. In situ open‐ocean gauges offer an independent measure of the SST–rainfall relationship across time‐scales for use in validating both model and satellite analyses.…”

Section: Indirect Rainfall Estimation and Validation Methodsmentioning

confidence: 99%

Precipitation measurements from the Tropical Moored Array: A review and look ahead

Serra

2018

Quart J Royal Meteoro Soc

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Rainfall is an important component of the global climate system and is one of the essential climate variables (ECVs) highlighted in the implementation plan for the Global Climate Observing System (GCOS). Over 75% of the world's rainfall occurs over open ocean where in situ observations are most sparse. While current satellite algorithms for estimating rainfall have improved considerably over the past few decades, validation of these products using in situ observations remains critical for meeting the requirements of an ECV. This article reviews the current status of continuous, high‐frequency open‐ocean rainfall measurements collected across the tropical Pacific from the Tropical Moored Array (TMA) and outlines upcoming challenges as well as opportunities for these measurements under the Tropical Pacific Observing System (TPOS) 2020 Project now underway. The rainfall observations from the TMA now provide over a 15‐year record at some sites; however, these observations have been drastically reduced in recent years. As the TPOS is reassessed in light of new platforms for observing ocean and atmospheric state variables, this is an opportune time to review the TMA rainfall observations and their important place in the redesign of the TMA as a “full flux” platform, measuring all interfacial fluxes including radiation and rainfall, as well as momentum, latent and sensible heat fluxes.

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Section: Indirect Rainfall Estimation and Validation Methodsmentioning

confidence: 99%

Precipitation measurements from the Tropical Moored Array: A review and look ahead

Serra

2018

Quart J Royal Meteoro Soc

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“…Validation against the land-only, gauge-based Global Precipitation Climatology Project (GPCP) [45,46] (Figures 2 and 3, upper-left panel) also suggest that the Auto-Estimator is well-suited for use as a surrogate of a realistic global precipitation field. Daily comparisons (Figure 3) also show that the Auto-Estimator gives similar rainfall fields to those of other more complex algorithms in terms of detail and structure.…”

Section: Resultsmentioning

confidence: 89%

“…Daily comparisons (Figure 3) also show that the Auto-Estimator gives similar rainfall fields to those of other more complex algorithms in terms of detail and structure. Validation against the landonly, gauge-based Global Precipitation Climatology Project (GPCP) [45,46] (Figures 2 and 3, upperleft panel) also suggest that the Auto-Estimator is well-suited for use as a surrogate of a realistic global precipitation field. Indeed, we are not claiming that the Auto-Estimator is a suitable instantaneous precipitation algorithm for the Iberian Peninsula.…”

Section: Resultsmentioning

confidence: 89%

Decorrelation of Satellite Precipitation Estimates in Space and Time

et al. 2018

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Precise estimates of precipitation are required for many environmental tasks, including water resources management, improvement of numerical model outputs, nowcasting and evaluation of anthropogenic impacts on global climate. Nonetheless, the availability of such estimates is hindered by technical limitations. Rain gauge and ground radar measurements are limited to land, and the retrieval of quantitative precipitation estimates from satellite has several problems including the indirectness of infrared-based geostationary estimates, and the low orbit of those microwave instruments capable of providing a more precise measurement but suffering from poor temporal sampling. To overcome such problems, data fusion methods have been devised to take advantage of synergisms between available data, but these methods also present issues and limitations. Future improvements in satellite technology are likely to follow two strategies. One is to develop geostationary millimeter-submillimeter wave soundings, and the other is to deploy a constellation of improved polar microwave sensors. Here, we compare both strategies using a simulated precipitation field. Our results show that spatial correlation and RMSE would be little affected at the monthly scale in the constellation, but that the precise location of the maximum of precipitation could be compromised; depending on the application, this may be an issue.

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“…Observational data used for verification include the Global Precipitation Climatology Project (GPCP) precipitation dataset version 2.3 on a 2.5° × 2.5° grid (Adler et al , ), the ERA‐Interim reanalysis dataset on a 1° × 1° grid (Berrisford et al , ) and the NOAA Extended Reconstructed Sea Surface Temperature (ERSST) dataset on a 2° × 2° grid (Huang et al , ). For comparison, all the model hindcast and observational data were interpolated into a common 1° × 1° grid with the bilinear interpolation method.…”

Section: Datamentioning

confidence: 99%

An evaluation of East Asian summer monsoon forecast with the North American Multimodel Ensemble hindcast data

Nie

Guo

2019

Intl Journal of Climatology

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The abilities of three models (Climate Forecast System version 2 [CFSv2], Canadian Coupled Climate Model version 3 [CanCM3] and Canadian Coupled Climate Model version 4 [CanCM4]) in the North American Multimodel Ensemble for the East Asian summer monsoon (EASM) forecast were evaluated with their 29‐year hindcast data (1982–2010). Many EASM features including monsoon precipitation centres, large‐scale monsoon circulations and monsoon onset and retreat are generally captured by the three models and their ensemble mean, and the multimodel ensemble has the best performance. Since the East Asian domain includes the tropical western North Pacific summer monsoon (WNPSM) and the subtropical continent monsoon, two well‐known monsoon indices, the WNPSM index (WNPSMI) and EASM index (EASMI), and their associated low‐level winds and precipitation anomalies are well forecasted by the models. However, the forecast performance generally decreases as the leads increase, and the performance of EASMI is not as good as that of WNPSMI. CFSv2 forecasts well at leads up to 6 months whereas the skill of CanCM3 (CanCM4) decreases rapidly when the lead increases to 2 months (3 months). The failure of CanCM3 is mainly attributed to the poor forecast of the relationship of EASMI with the El Niño‐Southern Oscillation and Northern Indian Ocean‐western North Pacific (WNP) sea surface temperature anomaly. However, the causes of the poor forecast of CanCM4 for EASMI require further investigation. Sources of the forecast error (FE), which is the difference between model and observation for monsoon precipitation, are more significant than those of the predictability error (PE), which originates from the initial condition error, indicating that model deficiency plays a dominant role in limiting the EASM precipitation forecast. However, the PE cannot be neglected over the tropical western Pacific in CFSv2, over the WNP in CanCM3 and over the Tibetan Plateau in CanCM4. As the lead time increases, the FE does not remarkably change whereas the PE decreases significantly.

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The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation

Cited by 704 publications

References 21 publications

Precipitation measurements from the Tropical Moored Array: A review and look ahead

Precipitation measurements from the Tropical Moored Array: A review and look ahead

Decorrelation of Satellite Precipitation Estimates in Space and Time

An evaluation of East Asian summer monsoon forecast with the North American Multimodel Ensemble hindcast data

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