The Global Precipitation Measurement Mission

Hou, Arthur Y.; Kakar, Ramesh K.; Neeck, Steven P.; Azarbarzin, Ardeshir A.; Kummerow, Christian D.; Kojima, Masayasu; Oki, Riko; Nakamura, Kenji; Iguchi, Toshio

doi:10.1175/bams-d-13-00164.1

Cited by 2,218 publications

(1,561 citation statements)

References 74 publications

(66 reference statements)

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“…Studies using these new data are utilized here to compare with GPCP mean values for comparison over ocean (e.g., Huffman et al 2007). Results from the Global Precipitation Measurement (GPM) mission launched in 2014 (Hou et al 2014) are not included here as retrieval algorithms are still maturing and mean estimates are still being evaluated.…”

Section: Data Setsmentioning

confidence: 99%

Global Precipitation: Means, Variations and Trends During the Satellite Era (1979–2014)

et al. 2017

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Global precipitation variations over the satellite era are reviewed using the Global Precipitation Climatology Project (GPCP) monthly, globally complete analyses, which integrate satellite and surface gauge information. Mean planetary values are examined and compared, over ocean, with information from recent satellite programs and related estimates, with generally positive agreements, but with some indication of small underestimates for GPCP over the global ocean. Variations during the satellite era in global precipitation are tied to ENSO events, with small increases during El Ninos, and very noticeable decreases after major volcanic eruptions. No overall significant trend is noted in the global precipitation mean value, unlike that for surface temperature and atmospheric water vapor. However, there is a pattern of positive and negative trends across the planet with increases over tropical oceans and decreases over some middle latitude regions. These observed patterns are a result of a combination of inter-decadal variations and the effect of the global warming during the period. The results reviewed here indicate the value of such analyses as GPCP and the possible improvement in the information as the record lengthens and as new, more sophisticated and more accurate observations are included.

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Section: Data Setsmentioning

confidence: 99%

Global Precipitation: Means, Variations and Trends During the Satellite Era (1979–2014)

et al. 2017

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“…The recent global precipitation measurement mission (GPM; Hou et al, 2014), with the first dualfrequency radar in space, aims to exploit differences in nonRayleigh scattering at 35 and 14 GHz to better constrain the rain DSD over land and ocean (e.g. Rose and Chandrasekar, 2006).…”

Section: Introductionmentioning

confidence: 99%

Improved rain rate and drop size retrievals from airborne Doppler radar

2017

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Abstract. Satellite remote sensing of rain is important for quantifying the hydrological cycle, atmospheric energy budget, and cloud and precipitation processes; however, radar retrievals of rain rate are sensitive to assumptions about the raindrop size distribution. The upcoming EarthCARE satellite will feature a 94 GHz Doppler radar alongside lidar and radiometer instruments, presenting opportunities for enhanced retrievals of the raindrop size distribution.We demonstrate the capability to retrieve rain rate as a function of drop size and drop number concentration from airborne 94 GHz Doppler radar measurements using CAP-TIVATE, the variational retrieval algorithm developed for EarthCARE. For a range of rain regimes observed during the Tropical Composition, Cloud and Climate Coupling field campaign, we explore the contributions of mean Doppler velocity and path-integrated attenuation (PIA) measurements to the retrieval of rain rate, and the retrievals are evaluated against independent measurements from an independent 9.6 GHz Doppler radar. The retrieved drop number concentrations vary over 5 orders of magnitude between very light rain from melting ice and warm rain from liquid clouds. In light rain conditions mean Doppler velocity facilitates estimates of rain rate without PIA, suggesting the possibility of EarthCARE rain rate estimates over land; in moderate warm rain, drop number concentration can be retrieved without mean Doppler velocity, with possible applications to CloudSat.

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“…Through combining multi-sensor microwave and infrared data with different algorithms, a few satellite-based global precipitation products, like TRMM Multi-satellite Precipitation Analysis (TMPA) (Huffman et al, 2007) and the latest Global Precipitation Measurement (GPM) mission (Hou et al, 2014), have been generated and investigated with great potentials for flood/drought monitoring (Hong et al, 2007;Zeng et al, 2012;Zhao et al, 2015). The satellite-based evapotranspiration (ET) can be successfully estimated in real-time as given the real-time inputs from Moderate Resolution Imaging Spectroradiometer (MODIS) and surface radiation products derived from geostationary satellites (Tang et al, 2009c).…”

Section: Hydrological Monitoring Observations and Data Assimilationmentioning

confidence: 99%

Hydrological monitoring and seasonal forecasting: Progress and perspectives

et al. 2016

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Hydrological monitoring and seasonal forecasting is an active research field because of its potential applications in hydrological risk assessment, preparedness and mitigation. In recent decades, developments in ground and satellite measurements have made the hydrometeorological information readily available, and advances in information technology have facilitated the data analysis in a real-time manner. New progress in climate research and modeling has enabled the prediction of seasonal climate with reasonable accuracy and increased resolution. These emerging techniques and advances have enabled more timely acquisition of accurate hydrological fluxes and status, and earlier warning of extreme hydrological events such as droughts and floods. This paper gives current state-of-the-art understanding of the uncertainties in hydrological monitoring and forecasting, reviews the efforts and progress in operational hydrological monitoring system assisted by observations from various sources and experimental seasonal hydrological forecasting, and briefly introduces the current monitoring and forecasting practices in China. The grand challenges and perspectives for the near future are also discussed, including acquiring and extracting reliable information for monitoring and forecasting, predicting realistic hydrological fluxes and states in the river basin being significantly altered by human activity, and filling the gap between numerical models and the end user. We highlight the importance of understanding the needs of the operational water management and the priority to transfer research knowledge to decision-makers.

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The Global Precipitation Measurement Mission

Cited by 2,218 publications

References 74 publications

Global Precipitation: Means, Variations and Trends During the Satellite Era (1979–2014)

Global Precipitation: Means, Variations and Trends During the Satellite Era (1979–2014)

Improved rain rate and drop size retrievals from airborne Doppler radar

Hydrological monitoring and seasonal forecasting: Progress and perspectives

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