Global Precipitation Map Using Satellite-Borne Microwave Radiometers by the GSMaP Project: Production and Validation

Kubota, Takuji; Shige, Shoichi; Hashizume, Hiroshi; Aonashi, Kazumasa; Takahashi, Nobuhiro; Seto, Shûichi; Takayabu, Yukari N.; Ushio, Tomoo; Nakagawa, Katsuhiro; Iwanami, Koyuru; Kachi, Misako; Okamoto, Ken‐ichi

doi:10.1109/tgrs.2007.895337

Cited by 695 publications

(350 citation statements)

References 61 publications

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“…Numerous precipitation products have been developed to estimate rainfall, for example: Tropical Rainfall Measuring Mission (TRMM) products (Huffman et al, 2007), Global Land Data Assimilation System (GLDAS) precipitation products (Kato et al, 2007), Asian Precipitation -Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE) (Xie et al, 2007;Yatagai et al, 2012), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) (Sorooshian et al, 2000(Sorooshian et al, , 2002, and Global Satellite Mapping of Precipitation product (GSMAP) (Kubota et al, 2007;Aonashi et al, 2009). …”

Section: W Qi Et Al: Evaluation Of Global Fine-resolution Precipitamentioning

confidence: 99%

Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations

Zhang

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. The applicability of six fine-resolution precipitation products, including precipitation radar, infrared, microwave and gauge-based products, using different precipitation computation recipes, is evaluated using statistical and hydrological methods in northeastern China. In addition, a framework quantifying uncertainty contributions of precipitation products, hydrological models, and their interactions to uncertainties in ensemble discharges is proposed. The investigated precipitation products are Tropical Rainfall Measuring Mission (TRMM) products (TRMM3B42 and TRMM3B42RT), Global Land Data Assimilation System (GLDAS)/Noah, Asian Precipitation -Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and a Global Satellite Mapping of Precipitation (GSMAP-MVK+) product. Two hydrological models of different complexities, i.e. a water and energy budget-based distributed hydrological model and a physically based semi-distributed hydrological model, are employed to investigate the influence of hydrological models on simulated discharges. Results show APHRODITE has high accuracy at a monthly scale compared with other products, and GSMAP-MVK+ shows huge advantage and is better than TRMM3B42 in relative bias (RB), Nash-Sutcliffe coefficient of efficiency (NSE), root mean square error (RMSE), correlation coefficient (CC), false alarm ratio, and critical success index. These findings could be very useful for validation, refinement, and future development of satellite-based products (e.g. NASA Global Precipitation Measurement). Although large uncertainty exists in heavy precipitation, hydrological models contribute most of the uncertainty in extreme discharges. Interactions between precipitation products and hydrological models can have the similar magnitude of contribution to discharge uncertainty as the hydrological models. A better precipitation product does not guarantee a better discharge simulation because of interactions. It is also found that a good discharge simulation depends on a good coalition of a hydrological model and a precipitation product, suggesting that, although the satellite-based precipitation products are not as accurate as the gauge-based products, they could have better performance in discharge simulations when appropriately combined with hydrological models. This information is revealed for the first time and very beneficial for precipitation product applications.

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Section: W Qi Et Al: Evaluation Of Global Fine-resolution Precipitamentioning

confidence: 99%

Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations

Zhang

et al. 2016

Hydrol. Earth Syst. Sci.

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“…A near-term improvement would build upon this method by incorporating ten years of TMI and PR matchups and devising Tb and rainrate relationships as functions of rain regimes to account for geographical and seasonal variations. The idea of using PR information for the TMI algorithm was previously studied by Masunaga and Kummerow (2005) and Grecu and Olson (2006) for over ocean and by Kubota et al (2007) for over land and ocean. Additional environmental information such as surface temperature and total precipitable water (obtained from NWP model fields) can also be used.…”

Section: Trmm Tmi Version 7 (V7)mentioning

confidence: 99%

TRMM 2A12 Land Precipitation Product - Status and Future Plans

Wang

Liu

Ferraro

et al. 2009

Journal of the Meteorological Society of Japan

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The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) 2A12 product consists of unique components configured for land and oceanic precipitation retrievals. This design was based on the vastly different physical characteristics of the retrieval, involving primarily emission over ocean and entirely scattering over land. This paper describes the current status of the TRMM Version 6 (V6) 2A12 product over land and envisioned improvements for TRMM TMI V7 and GPM GMI V1.On a global scale, the 2A12 land algorithm exhibits biases when compared with the TRMM 2A25 (Precipitation Radar (PR) based) and rain gauges. These range from 6 percent for GPCC to 20 percent for 2A25. Closer comparison also reveals regional and seasonal biases, with the largest positive biases found in warm-season convective zones and over semi-arid regions. Some negative biases are found in warm-rain precipitation regimes where scattering at 85 GHz is unable to detect a precipitation signal. On an instantaneous time scale, 2A12 land also produces a positive bias when compared with high-quality radar data from Melbourne, Florida, a TRMM ground validation site. The largest discrepancies occur for rain rates of less than 2 mm h -1 . A number of known "anomalies" are highlighted, including overestimation of rainfall in deep convective systems, underestimation in warm-rain regimes, and a number of features associated with the

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“…For example, some previously published maps focus on precipitation and the atmospheric water cycle (Kubota et al 2007), river networks (Yamazaki et al 2009), dams and reservoirs (Lehner et al 2011) or other relevant aspects. A map of BGroundwater Resources of the World ( Richts et al 2011;WHYMAP 2008) has been prepared within the framework of the World-wide Hydrogeological Mapping and Assessment Programme (WHYMAP) coordinated by UNESCO-IHP (BGR 2016).…”

Section: Introductionmentioning

confidence: 99%

The World Karst Aquifer Mapping project: concept, mapping procedure and map of Europe

et al. 2017

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Karst aquifers contribute substantially to freshwater supplies in many regions of the world, but are vulnerable to contamination and difficult to manage because of their unique hydrogeological characteristics. Many karst systems are hydraulically connected over wide areas and require transboundary exploration, protection and management. In order to obtain a better global overview of karst aquifers, to create a basis for sustainable international water-resources management, and to increase the awareness in the public and among decision makers, the World Karst Aquifer Mapping (WOKAM) project was established. The goal is to create a world map and database of karst aquifers, as a further development of earlier maps. This paper presents the basic concepts and the detailed mapping procedure, using France as an example to illustrate the step-by-step workflow, which includes generalization, differentiation of continuous and discontinuous carbonate and evaporite rock areas, and the identification of non-exposed karst aquifers. The map also shows selected caves and karst springs, which are collected in an associated global database. The draft karst aquifer map of Europe shows that 21.6% of the European land surface is characterized by the presence of (continuous or discontinuous) carbonate rocks; about 13.8% of the land surface is carbonate rock outcrop.

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Global Precipitation Map Using Satellite-Borne Microwave Radiometers by the GSMaP Project: Production and Validation

Cited by 695 publications

References 61 publications

Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations

Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations

TRMM 2A12 Land Precipitation Product - Status and Future Plans

The World Karst Aquifer Mapping project: concept, mapping procedure and map of Europe

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