Precipitation: Measurement, remote sensing, climatology and modeling

被引:337
作者
Michaelides, S. [1 ]
Levizzani, V. [2 ]
Anagnostou, E. [3 ,4 ]
Bauer, P. [5 ]
Kasparis, T. [6 ]
Lane, J. E. [7 ]
机构
[1] Meteorol Serv, Nicosia, Cyprus
[2] CNR, ISAC, I-40126 Bologna, Italy
[3] Univ Connecticut, Dept Civil & Environm Eng, Storrs, CT USA
[4] Hellen Ctr Marine Res, Inst Inland Waters, Anavissos, Greece
[5] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
[6] Univ Cent Florida, Orlando, FL 32816 USA
[7] Space Life Sci Lab, Kennedy Space Ctr, FL USA
关键词
Precipitation; Precipitation measurement; Remote sensing; Climatology; Precipitation modeling; Data assimilation; BAND POLARIMETRIC-RADAR; DUAL-POLARIZATION RADAR; DROP SIZE DISTRIBUTION; 4-DIMENSIONAL VARIATIONAL ASSIMILATION; MICROWAVE SATELLITE MEASUREMENTS; WEATHER PREDICTION MODEL; RAIN-PROFILING ALGORITHM; X-BAND; PASSIVE MICROWAVE; DIFFERENTIAL REFLECTIVITY;
D O I
10.1016/j.atmosres.2009.08.017
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This review paper deals with four aspects of precipitation: measurement, remote sensing, climatology and modeling. The measurement of precipitation is summarized in terms of the instruments that count and measure drop sizes (defined as disdrometers) and the instruments that measure an average quantity proportional to the integrated volume of an ensemble of raindrops (these instruments are normally called rain gauges). Remote sensing of precipitation is accomplished with ground based radar and from satellite retrievals and these two approaches are separately discussed. The climatology of precipitation has evolved through the years from the traditional rain gauge data analyses to the more sophisticated data bases that result from a coalescence of data and information on precipitation that is available from several sources into amalgamated products. Recently, rain observations from both ground and space have been assimilated into regional and global numerical weather prediction models aiming at improved moisture analysis and better forecasts of extreme weather events. The current status and the main outstanding issues related to precipitation forecasting are discussed, providing a basic structure for research coordination aimed at the improvement of modeling, observation and data assimilation applicable to global and regional scales. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:512 / 533
页数:22
相关论文
共 184 条
[61]   Documenting and detecting long-term precipitation trends: Where we are and what should be done [J].
Groisman, PY ;
Legates, DR .
CLIMATIC CHANGE, 1995, 31 (2-4) :601-622
[62]  
Grossklaus M, 1998, J ATMOS OCEAN TECH, V15, P1051, DOI 10.1175/1520-0426(1998)015<1051:AODFUI>2.0.CO
[63]  
2
[64]  
GRUBER A, 2008, WCRP SERIES, V128, P55
[65]   Vertical profiling of precipitation using passive microwave observations: The main impediment and a proposed solution [J].
Haddad, Ziad S. ;
Park, Kyung-Won .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2009, 114 :D06118
[66]   The TRMM 'day-1' radar/radiometer combined rain-profiling algorithm [J].
Haddad, ZS ;
Smith, EA ;
Kummerow, CD ;
Iguchi, T ;
Farrar, MR ;
Durden, SL ;
Alves, M ;
Olson, WS .
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 1997, 75 (04) :799-809
[67]   Rainfall retrieval over the ocean with spaceborne W-band radar [J].
Haynes, John M. ;
L'Ecuyer, Tristan S. ;
Stephens, Graeme L. ;
Miller, Steven D. ;
Mitrescu, Cristian ;
Wood, Norman B. ;
Tanelli, Simone .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2009, 114
[68]  
Hou A., 2008, PRECIPITATION ADV ME, P131, DOI [DOI 10.1007/978-3-540-77655-0_6, 10.1007/978- 3- 540- 77655- 0\\_6, DOI 10.1007/978-3-540-77655-0]
[69]   The TRMM multisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales [J].
Huffman, George J. ;
Adler, Robert F. ;
Bolvin, David T. ;
Gu, Guojun ;
Nelkin, Eric J. ;
Bowman, Kenneth P. ;
Hong, Yang ;
Stocker, Erich F. ;
Wolff, David B. .
JOURNAL OF HYDROMETEOROLOGY, 2007, 8 (01) :38-55
[70]  
Huffman GJ, 1997, B AM METEOROL SOC, V78, P5, DOI 10.1175/1520-0477(1997)078<0005:TGPCPG>2.0.CO