Estimating Climatic-Scale Precipitation from Space: A Review

Arkin, Phillip A.; Ardanuy, Philip E.

doi:10.1175/1520-0442(1989)002<1229:ecspfs>2.0.co;2

Cited by 226 publications

(100 citation statements)

References 46 publications

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“…Outgoing long-wave radiation (OLR) data provided by NOAA (e.g. Arkin and Ardanuy, 1989) are used to analyse convective activity in the tropics. The Tropical Rainfall Measuring Mission (TRMM) daily integrated precipitation data (TRMM 3B42 v7) are used to study surface precipitation (Huffman et al, 2007).…”

Section: Datamentioning

confidence: 99%

Stratospheric tropical warming event and its impact on the polar and tropical troposphere

et al. 2017

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Abstract. Stratosphere-troposphere coupling is investigated in relation to middle atmospheric subtropical jet (MASTJ) variations in boreal winter. An exceptional strengthening of the MASTJ occurred in association with a sudden equatorward shift of the stratospheric polar night jet (PNJ) in early December 2011. This abrupt transformation of the MASTJ and PNJ had no apparent relation to the upward propagation of planetary waves from the troposphere. The impact of this stratospheric event penetrated into the troposphere in two regions: in the northern polar region and the tropics. Due to the strong MASTJ, planetary waves at higher latitudes were deflected and trapped in the northern polar region. Trapping of the planetary waves resulted in amplification of zonal wave number 1 component, which appeared in the troposphere as the development of a trough over the Atlantic sector and a ridge over the Eurasian sector. A strong MASTJ also suppressed the equatorward propagation of planetary waves, which resulted in weaker tropical stratospheric upwelling and produced anomalous warming in the tropical stratosphere. In the tropical tropopause layer (TTL), however, sublimation of ice clouds kept the temperature change minor. In the troposphere, an abrupt termination of a Madden-Julian Oscillation (MJO) event occurred following the static stability increase in the TTL. This termination suggests that the stratospheric event affected the convective episode in the troposphere.

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Section: Datamentioning

confidence: 99%

Stratospheric tropical warming event and its impact on the polar and tropical troposphere

et al. 2017

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“…Chen and Wu's suggestion for the existence of the semiannual variation in the atmospheric hydrological cycle is only an inference which needs to be substantiated. Therefore, since the global assimilation meteorological data and the tropical precipitation data generated by the Global Precipitation Climate Project (GPCP) [Arkin and Ardauny, 1989] are now available, it is feasible to explore the semiannual hydrological processes. Note that the GPCP data may not be compatible with the data of a global data assimilation system.…”

Section: Paper Number 97jd02818mentioning

confidence: 99%

The semiannual variation in the atmospheric hydrologic processes

Chen¹,

Chen²

1998

J. Geophys. Res.

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Abstract. Semiannual variations of several atmospheric hydrological processes are identified from two sets of data: (1) the monthly mean precipitation data generated by the Global Precipitation Climate Project (GPCP) and (2) the monthly mean upper air wind and moisture data generated by the Climate Data Assimilation System of National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) Reanalysis Project for the period 1986-1993. Three major findings of this study follow. First is that the existence of semiannual variations in precipitation and water vapor flux are revealed from (1) time series of area-mean precipitation and divergence of water vapor flux over the Asian-Australian (AA) monsoon (60øE-120øW) and extra-AA monsoon (120øW-60øE) hemispheres and (2) the power spectra of that time series. Second is that the semiannual precipitation variation exhibits an eastwest seesaw oscillation. In January and July, positive precipitation anomalies concentrate in the AA monsoon hemisphere, while major negative precipitation anomalies exist in the extra-AA monsoon hemisphere. Opposite spatial patterns occur in April and October. Third is that to maintain the semiannual variation of precipitation, water vapor diverges out of the extra-AA (AA) monsoon hemisphere and converges toward the AA monsoon (extra-AA monsoon) hemisphere in January and July (April and October).

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“…Satellite estimates of rainfall were first derived from visible and infrared instruments using cloud top temperature and cloud optical properties to indirectly infer underlying rain rates Arkin and Meisner 1987;Negri et al 1988). Although the accuracies achieved by the visible and infrared techniques suffered from the indirect relationship between cloud properties and rainfall (McConnell and North 1987), valuable tropical rainfall climatologies were derived using visible and infrared data (Arkin and Ardanuy 1989;Garcia 1985).…”

Section: Rainfall Monitoring Techniquesmentioning

confidence: 99%

“…Although significant progress has been demonstrated for computing global monthly rainfall composites over the ocean (Arkin and Ardanuy 1989;Berg and Chase 1992;Prabhakara et al 1992;Wilheit et al 1991), global rainfall estimates must be greatly improved before climate changes can be distinguished from natural variability (Simpson 1988). With an operational deployment of SSM/I instruments on Defense Meteorological Satellites, it is now possible to develop and validate algorithms for monitoring global rainfall over both land and ocean.…”

Section: Rainfall Monitoring Techniquesmentioning

confidence: 99%

Satellite remote sensing of global rainfall using passive microwave radiometry

Ferriday¹

1994

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Estimating Climatic-Scale Precipitation from Space: A Review

Cited by 226 publications

References 46 publications

Stratospheric tropical warming event and its impact on the polar and tropical troposphere

Stratospheric tropical warming event and its impact on the polar and tropical troposphere

The semiannual variation in the atmospheric hydrologic processes

Satellite remote sensing of global rainfall using passive microwave radiometry

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