Artículo

Tapiador, F.J.; Turk, F.J.; Petersen, W.; Hou, A.Y.; García-Ortega, E.; Machado, L.A.T.; Angelis, C.F.; Salio, P.; Kidd, C.; Huffman, G.J.; de Castro, M. "Global precipitation measurement: Methods, datasets and applications" (2012) Atmospheric Research. 104-105:70-97
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Abstract:

This paper explores the many aspects of precipitation measurement that are relevant to providing an accurate global assessment of this important environmental parameter. Methods discussed include ground data, satellite estimates and numerical models. First, the methods for measuring, estimating, and modeling precipitation are discussed. Then, the most relevant datasets gathering precipitation information from those three sources are presented. The third part of the paper illustrates a number of the many applications of those measurements and databases, namely hydropower, data assimilation and validation of Regional Climate Models (RCM). The aim of the paper is to organize the many links and feedbacks between precipitation measurement, estimation and modeling, indicating the uncertainties and limitations of each technique in order to identify areas requiring further attention, and to show the limits within which datasets can be used. Special emphasis is put on the central role of the upcoming Global Precipitation Measurement (GPM) mission in precipitation science. © 2011.

Registro:

Documento: Artículo
Título:Global precipitation measurement: Methods, datasets and applications
Autor:Tapiador, F.J.; Turk, F.J.; Petersen, W.; Hou, A.Y.; García-Ortega, E.; Machado, L.A.T.; Angelis, C.F.; Salio, P.; Kidd, C.; Huffman, G.J.; de Castro, M.
Filiación:Department of Environmental Sciences, UCLM, Toledo, Spain
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
NASA Goddard Space Flight Center (GSFC)/Wallops Flight Facility, Wallops Island, VA, United States
NASA Goddard Space Flight Center (GSFC), Greenbelt, MD, United States
Department of Physics, University of León, León, Spain
Centro de Previsão de Tempo e Estudos Climáticos, INPE, SP, Brazil
Centro de Monitoramento e Alertas de Desastres Naturais, CEMADEN, SP, Brazil
Departamento de Ciencias de la Atmósfera y los Océanos, FCEN, University of Buenos Aires, Buenos Aires, Argentina
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
Science Systems and Applications, Inc., Lanham, MD, United States
Palabras clave:Global Climate Models (GCM); Global Precipitation Measurement (GPM) mission; Precipitation Regional Climate Models (RCM); Quantitative Precipitation Estimation (QPE); Data assimilation; Data sets; Environmental parameter; Global climate model; Global precipitation measurement missions; Global precipitation measurements; Ground data; Numerical models; Precipitation measurement; Quantitative precipitation estimation; Regional climate models; Data processing; Estimation; Numerical methods; Precipitation (meteorology); Uncertainty analysis; Climate models; climate modeling; data set; global climate; numerical model; precipitation assessment; regional climate
Año:2012
Volumen:104-105
Página de inicio:70
Página de fin:97
DOI: http://dx.doi.org/10.1016/j.atmosres.2011.10.021
Título revista:Atmospheric Research
Título revista abreviado:Atmos. Res.
ISSN:01698095
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01698095_v104-105_n_p70_Tapiador

Referencias:

  • Adler, R.F., Negri, A.J., A satellite infrared technique to estimate tropical convective and stratiform rainfall (1988) J. Appl. Meteorol., 27, pp. 30-51
  • Adler, R.F., Negri, A.J., Keehn, P.R., Hakkarinen, I.M., Estimation of monthly rainfall over Japan and surrounding waters from a combination of low-orbit microwave and geosynchronous IR data (1993) J. Appl. Meteorol., 32, pp. 335-356
  • Adler, R.F., The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present) (2003) J. Hydrometeorol., 4, pp. 1147-1167
  • Amitai, E., Petersen, W.A., Llort, X., Vasilof, S., Multi-platform comparisons of rain intensity for extreme precipitation events (2011) IEEE Trans. Geosci. Remote Sens., 99, pp. 1-12
  • Anagnostou, E.N., Krajewski, W., Smith, J., Uncertainty quantification of mean-areal radar rainfall estimates (1999) J. Atmos. Oceanic Technol., 16, pp. 206-215
  • Anderson, J.L., An ensemble adjustment filter for data assimilation (2001) Mon. Weather Rev., 129, pp. 2884-2903
  • Arkin, P.A., Meisner, B.N., The relationship between large-scale convective rainfall and cold cloud over the western hemisphere during 1982-84 (1987) Mon. Weather Rev., 115, pp. 51-74
  • Barnes, S., A technique for maximizing details in numerical map analysis (1964) J. Appl. Meteorol., 3, pp. 395-409
  • Barrett, E.C., Kidd, C., Bailey, J.O., The use of SMMR data in support of the Bristol/NOAA Interactive Scheme (BIAS) for satellite-improved rainfall monitoring (1987) Annual report to the US Department of Commerce, contract No. NA86AA-H-RA001, Washington D.C., p. 77
  • Beck, C., Grieser, J., Rudolf, B., (2004) A New Monthly Precipitation Climatology for the Global Land Areas for the Period 1951 to 2000, pp. 181-190. , German Weather Service Climate Status Rep., Offenbach, Germany
  • Behrangi, A., Iman, B., Hsu, K.-L., Sorooshian, S., Bellerby, T.J., Huffman, G.J., REFAME: Rain Estimation using Forward-adjusted Advection of Microwave Estimates (2010) J. Hydrometeorol., 11, pp. 1305-1321
  • Bellerby, T., High-resolution 2D cloud-top advection from geostationary satellite imagery (2006) IEEE Trans. Geosci. Remote. Sens., 44, pp. 3639-3648
  • Bergthorsson, P., Döös, B.R., Numerical weather map analysis (1955) Tellus, 7, p. 329
  • Bosilovich, M., NASA's Modern Era Retrospective-Analysis for Research and Applications (MERRA) (2009) Presentation to the Department of Earth and Atmospheric Sciences, Purdue University, Sept 24, 2009
  • Brandes, E.A., Ikeda, K., Zhang, G., A statistical and physical description of hydrometeor distributions in Colorado snowstorms using a video disdrometer (2007) J. Appl. Meteorol. Climatol., 46, pp. 634-650
  • Briggs, P.R., Cogley, J.G., Topographic bias in mesoscale precipitation networks (1996) J. Climate, 9, pp. 205-218
  • Bringi, V.N., Chandrasekar, V., (2001) Polarimetric Doppler Weather Radar: Principles and Applications, p. 636. , Cambridge University Press
  • Bringi, V.N., Raindrop size distribution in different climatic regimes from disdrometer and dual-polarized radar analysis (2003) J. Atmos. Sci., 60, pp. 354-365
  • Bringi, V.N., Williams, C.R., Thurai, M., May, P.T., Using dual-polarized radar and dual-frequency profiler for dsd characterization: a case study from Darwin, Australia (2009) J. Atmos. Oceanic Technol., 26, pp. 2107-2122
  • Cao, Q., Zhang, G., Brandes, E., Schuur, T., Ryzhkov, A., Ikeda, K., Analysis of video disdrometer and polarimetric radar data to characterize rain microphysics in Oklahoma (2008) J. Appl. Meteorol. Climatol., 47, pp. 2238-2255
  • Chandrasekar, V., Hou, A., Smith, E., Bringi, V.N., Rutledge, S.A., Gorgucci, E., Petersen, W.A., Use of dual polarization radars for validation of spaceborne precipitation measurements: rationale and opportunities (2008) Bull. Amer. Meteorol. Soc., 89, pp. 1127-1145
  • Chang, W.-Y., Wang, T.-C., Lin, P.-L., Characteristics of the raindrop size distribution and drop shape relation in typhoon systems in the western Pacific from the 2D video disdrometer and NCU C-band polarimetric radar (2009) J. Atmos. Oceanic Technol., 26, pp. 1973-1993
  • Chen, M., Xie, P., Janowiak, J.E., Arkin, P.A., Global land precipitation: a 50-yr monthly analysis based on gauge observations (2002) J. Hydrometeorol., 3, pp. 249-266
  • Chiu, L., Chang, A., Janowiak, J.E., Comparison of monthly rain rates derived from GPI and SSM/I using probability distribution functions (1993) J. Appl. Meteorol., 32, pp. 323-334
  • Christensen, J.H., Christensen, O.B., A summary of the PRUDENCE model projections of changes in European climate by the end of this century (2007) Clim. Chang., 81, pp. 7-30
  • Ciach, G.J., Local random errors in tipping-bucket rain gauge measurements (2003) J. Atmos. Oceanic Technol., 20, pp. 752-759
  • Ciach, G.J., Krajewski, W.F., Analysis and modeling of spatial correlation structure in small-scale rainfall in Central Oklahoma (2006) Adv. Water Res., 29, pp. 1450-1463
  • Cohn, S.E., da Silva, D.M., Guo, J., Sienkiewiez, M., Lamich, D., Assessing the effects of data selection with the DAO physical space statitical analysis system (1998) Mon. Weather Rev., 126, pp. 2913-2926
  • Collard, A.D., Assimilation of AIRS observations at the Met Office (2004) Proc. of the ECMWF workshop on assimilation of high spectral resolution sounders in NWP, pp. 63-71
  • Courtier, P., Talagrand, O., Variational assimilation of meteorological observations with the adjoint vorticity equation. Part II: numerical results (1987) Q. J. R. Meteorol. Soc., 113, pp. 1129-1347
  • Courtier, P., Andersson, P.E., Heckley, W., Pailleux, J., Vasiljevic, D., Hamrud, M., Hollingsworth, A., Fisher, M., The ECMWF implementation of three-dimensional variational assimilation (3D-Var). I: formulation (1998) Q. J. R. Meteorol. Soc., 124, pp. 1783-1807
  • Cressman, G.P., An operational objective analysis system (1959) Mon. Weather Rev., 87, pp. 367-374
  • Daley, R., (1996) Atmospheric Data Analysis, p. 457. , Cambridge University Press
  • Dee, D.P., Uppala, S.M., Simmons, A.J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Vitart, F., The ERA-Interim reanalysis: configuration and performance of the data assimilation system (2011) Q. J. R. Meteorol. Soc., 137, pp. 553-597
  • Ebert, E.E., Methods for verifying satellite precipitation estimates (2007) Measuring Precipitation from Space, EURAINSAT and the future, pp. 345-356. , Springer, V. Levizzani (Ed.)
  • Ebert, E.E., Janowiak, J.E., Kidd, C., Comparison of near-realtime precipitation estimates from satellite observations and numerical models (2007) Bull. Am. Meteorol. Soc., 88, pp. 47-64
  • Elsaesser, G.S., Kummerow, C., Toward a fully parametric retrieval of the nonraining parameters over the global oceans (2008) J. Appl. Meteorol., 47, pp. 1599-1618
  • Enomoto, T., Kuwano-Yoshida, A., Komori, N., Ohfuchi, W., Description of AFES 2: improvements for high-resolution and coupled simulations (2008) High Resolution Numerical Modelling of the Atmosphere and Ocean, pp. 77-97. , Springer, New York, chapter 5, K. Hamilton, W. Ohfuchi (Eds.)
  • Gandin, L.S., (1963) Objective Analysis of Meteorological Fields, , GIMIZ, Leningrad
  • García-Ortega, E., Fita, L., Romero, R., López, L., Ramis, C., Sánchez, J.L., Numerical simulation and sensitivity study of a severe hailstorm in northeast Spain (2005) Atmos. Res., 83 (2-4)
  • García-Ortega, E., López, L., Sánchez, J.L., Marcos, J.L., Microphysical analysis at the cloud edge of a severe hailstorm (2006) Atmos. Res., 82 (1-2)
  • García-Ortega, E., López, L., Sánchez, J.L., Atmospheric patterns associated with hailstorm days in the Ebro Valley, Spain (2011) Atmos. Res., 100, pp. 401-427
  • Gauthier, P., Thépaut, J.-N., Impact of the digital filter as a weak constraint in the preoperational 4DVAR assimilation system of Météo-France (2001) Mon. Weather Rev., 129, pp. 2089-2102
  • Gauthier, P.C., Cherette, L., Fillion, L., Koclas, P., Laroche, S., Implementation of a 3D variational data assimilation system at the Canadian Meteorological Center. Part I: the global analysis (1998) Atmos. Ocean, 37, pp. 103-156
  • Gauthier, P.C., Buehner, M., Fillion, L., Background-error statistics modelling in a 3D variational data assimilation scheme: estimation and impact on the analyses (1999) Proc. ECMWF Workshop on Diagnosis of Data Assimilation Systems, Reading, United Kingdom, ECMWF, pp. 131-145
  • Giorgi, F., Marinucci, M.R., Visconti, G., Use of a limited-area model nested in a general-circulation model for regional climate simulation over Europe (1990) J. Geophys. Res.-Atmos., 95 (D11), pp. 18413-18431
  • Grecu, M., Olson, W.S., Anagnostou, E., Retrieval of precipitation profiles from multiresolution, multifrequency, active and passive microwave radar observations (2004) J. Appl. Meteorol., 43, pp. 562-575
  • Gunn, R., Kinze, G., The terminal velocity of fall for water droplets in stagnant air (1949) J. Meteorol., 6, pp. 243-248
  • Habib, E., Krajewski, W.F., Uncertainty analysis of the TRMM ground-validation radar-rainfall products: application to the TEFLUN-B field campaign (2002) J. Appl. Meteorol., 41, pp. 558-572
  • Habib, E., Krajewski, J.W.F., Kruger, A., Sampling errors of tipping-bucket rain gauge measurements (2001) J. Hydrol. Eng., pp. 159-166. , (March-April)
  • Haddad, Z.S., Short, D.A., Durden, S.L., Im, E., Hensley, S., Grable, M.B., Black, M.B., A new parameterization of the rain drop size distribution (1997) IEEE Trans. Geosci. Remote. Sens., 35, pp. 532-539
  • Haddad, Z.S., Smith, E.A., Kummerow, C.D., Iguchi, T., Farrar, M.R., Durden, S.L., Alves, M., Olson, W.S., The TRMM "Day-1" radar/radiometer combined rain-profiling algorithm (1997) J. Meteorol. Soc. Jpn., 75, pp. 799-809
  • Hamill, T.M., Snyder, C., A hybrid ensemble Kalman filter/3d-variational analysis scheme (2000) Mon. Weather Rev., 128, pp. 2905-2919
  • Hamill, T.M., Whitaker, J.S., Snyder, C., Distance-dependent filtering of background-error covariance estimates in an ensemble Kalman filter (2001) Mon. Weather Rev., 129, pp. 2776-2790
  • Hong, Y., Hsu, K.-L., Moradkhani, H., Sorooshian, S., Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response (2006) J. Water Res. Res., 42, pp. W08421
  • Houtekamer, P.L., Mitchell, H.L., Data assimilation using an ensemble Kalman filter technique (1998) Mon. Weather Rev., 126, pp. 796-811
  • Houtekamer, P.L., Mitchell, H.L., A sequential ensemble Kalman filter for atmospheric data assimilation (2001) Mon. Weather Rev., 129, pp. 123-137
  • Houtekamer, P.L., Lefaivre, L., Derome, J., The RPN ensemble prediction system (1996) Proc. ECMWF Seminar on Predictability, 2, pp. 121-146. , 4-8 September 1995, Reading, UK
  • Huang, G., Bringi, V.N., Cifelli, R., Hudak, D., Petersen, W., A methodology to derive radar reflectivity-liquid equivalent snow rate relations using C-band radar and a 2D video disdrometer (2010) J. Appl. Meteorol., 27, pp. 637-651
  • Huffman, G.J., The Global Precipitation Climatology Project (GPCP) combined precipitation dataset (1997) Bull. Amer. Meteor. Soc., 78, pp. 5-20
  • Huffman, G.J., Morrissey, M., Bolvin, D.T., Curtis, S., Joyce, R., McGavock, B., Susskind, J., Global precipitation at one-degree daily resolution from multisatellite observations (2001) J. Hydrometeorol., 2, pp. 36-50
  • Huffman, G.J., Adler, R.F., Bolvin, D.T., Gu, G., Nelkin, E.J., Bowman, K.P., Hong, Y., Wolff, D.B., The TRMM multi-satellite precipitation analysis: quasi-global, multi-year, combined-sensor precipitation estimates at fine scale (2007) J. Hydrometeorol., 8, pp. 38-55
  • Huffman, G.J., Adler, R.F., Bolvin, D.T., Nelkin, E.J., The TRMM Multi-satellite Precipitation Analysis (TMPA) (2010) Satellite Rainfall Applications for Surface Hydrology, pp. 3-22. , Chapter 1, Springer Verlag, F. Hossain, M. Gebremichael (Eds.)
  • Iguchi, T., Kozu, T., Kwiatkowski, J., Meneghini, R., Awaka, J., Okamoto, K., Uncertainties in Rain-profiling algorithm for the TRMM precipitation radar (2009) J. Meteorol. Soc. Jpn., 87 A, pp. 1-30
  • Ishikawa, Y., Koizumi, K., Meso-scale analysis (2002) Outline of the Operational Numerical Weather Prediction at the Japan Meteorological Agency, pp. 26-31
  • Jaffrain, J., Studzinski, A., Berne, A., A network of disdrometers to quantify the small-scale variability of the raindrop size distribution (2011) Wat. Res. Res., 47, pp. W00H06
  • Joss, J., Waldvogel, A., Ein Spektrograph fur Niederschlagstrophen mit automatischer Auswertung (1967) Pure Appl. Geophys., 68, pp. 240-246
  • Joyce, R.J., Janowiak, J.E., Arkin, P.A., Xie, P., CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution (2004) J. Hydrometeorol., 5, pp. 487-503
  • Kalnay, E., (2003) Atmospheric Modeling, Data Assimilation and Predictability, p. 330. , Cambridge University Press, Cambridge
  • Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Joseph, D., The NCEP/NCAR 40-year reanalysis project (1996) Bull. Am. Meteorol. Soc., 77 (3), pp. 437-471
  • Kidd, C., Kniveton, D.R., Todd, M.C., Bellerby, T.J., Satellite rainfall estimation using a combined passive microwave and infrared algorithm (2003) J. Hydrometeorol., 4, pp. 1088-1104
  • Klein Tank, A.M.G., Wijngaard, J.B., Daily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment (2002) Int. J. Climatol., 22, pp. 1441-1453
  • Knollenberg, R.G., The optical array: an alternative to scattering or extinction for airborne particle size determination (1970) J. Appl. Meteorol., 9, pp. 86-103
  • Krajewski, W., Ground networks: are we doing the right things? (2007) EURAINSAT and the Future, pp. 403-417. , Springer, Levizanni (Ed.) Measuring precipitation from space
  • Krajewski, W.F., Ciach, G.J., Habib, E., An analysis of small-scale rainfall variability in different climate regimes (2003) J. Hydrol. Sci., 48, pp. 151-162
  • Krajewski, W.F., DEVEX-disdrometer evaluation experiment: basic results and implications for hydrologic studies (2006) Adv. Water Res., 29, pp. 311-325
  • Kubota, T., Shige, S., Hashizume, H., Aonashi, K., Takahashi, N., Seto, S., Takayabu, Y.N., Okamoto, K., Global precipitation map using satellite-borne microwave radiometers by the GSMaP project: production and validation (2007) IEEE Trans. Geosci. Remote Sens., 45, pp. 2259-2275
  • Kummerow, C., Beamfilling errors in passive microwave rainfall retrievals (1998) J. Appl. Meteorol., 37 (4), pp. 356-370
  • Kummerow, C., Olson, W.S., Giglio, L., A simplified scheme for obtaining precipitation and vertical hydrometeor profiles from passive microwave sensors (1996) IEEE Trans. Geosci. Remote. Sens., 34, pp. 1213-1232
  • Lanzinger, E., Theel, M., Windolph, H., (2006) Rainfall amount and intensity measured by the Thies laser precipitation monitor, TECO-2006, Geneva, Switzerland
  • Larsen, M.L., Clark, A., Noffke, M., Saltzgaber, G., Steele, A., Identifying the scaling properties of rainfall accumulation as measured by a rain gauge network (2010) Atmos. Res., 96 (1), pp. 149-158
  • Le Dimet, F., Talagrand, O., Variational algorithms for analysis and assimilation of meteorological observations: theoretic aspects (1986) Tellus, 38 A, pp. 97-110
  • Lehner, B., Czisch, G., Vassolo, S., The impact of global change on the hydropower potential of Europe: a model-based analysis (2005) Energy Pol., 33 (7), pp. 839-855
  • (2007) Measuring Precipitation from Space, , Springer-Verlag, V. Levizzani, P. Bauer, F.J. Turk (Eds.)
  • Lewis, J., Derber, J., The use of adjoint equations to solve a variational adjustment problem with advective constraints (1985) Tellus, 37 A, pp. 309-327
  • Liebmann, B., Allured, D., Daily precipitation grids for South America (2005) Bull. Amer. Meteor. Soc., 86, pp. 1567-1570
  • Löffler-Mang, M., Joss, J., An optical disdrometer for measuring size and velocity of hydrometeors (2000) J. Atmos. Oceanic Technol., 17, pp. 130-139
  • Machado, L.A.T., Martins, R.C.G., Convective cloud characteristics in the southwestern Amazonia during wet and pre wet season (2008) 5th International Conference on Clouds and Precipitation ICCP, Cancun, México
  • Machado, L.A.T., Rossow, W.B., Structural characteristics and radiative properties of tropical cloud clusters (1993) Mon. Weather Rev., 121, pp. 3234-3260
  • Machado, L.A.T., Rossow, W.B., Guedes, R.L., Walker, A., Life cycle variations of convective systems over the Americas (1998) Mon. Weather Rev., 126, pp. 1630-1654
  • Mahfouf, J.-F., Viterbo, P., Douville, H., Beljaars, A.C.M., Saarinen, S., A revised land-surface analysis scheme in the integrated forecasting system (2000) ECMWF Newsletter, No. 88, pp. 8-13. , ECMWF, Reading, United Kingdom
  • Maraes-Frasson, R.-P., da Cunha, L.K., Krajewski, W.F., Assessment of the Thies optical disdrometer performance (2011) Atmos. Res., 101, pp. 237-255
  • Mearns, L.O., (2007) Updated 2011. The North American Regional Climate Change Assessment Program Dataset, , National Center for Atmospheric Research Earth System Grid data portal, Boulder, CO
  • Mearns, L.O., Gutowski, W.J., Jones, R., Leung, L.-Y., McGinnis, S., Nunes, A.M.B., Qian, Y., A regional climate change assessment program for North America (2009) EOS, 90 (36), pp. 311-312. , (8 September)
  • Menéndez, C.G., de Castro, M., Sorensson, A., Boulanger, J.-P., CLARIS project: towards climate downscaling in South America (2010) Meteorol. Z., 19 (4), pp. 357-362. , (6)
  • Michaelides, S., Levizzani, V., Anagnostou, E., Bauer, P., Kasparis, T., Lane, J.E., Precipitation: measurement, remote sensing, climatology and modeling (2009) Atmos. Res., 94, pp. 512-533
  • Miriovsky, B.J., Bradley, A.A., Eichinger, W.E., Krajewski, W.F., Kruger, A., Nelson, B.R., Creutin, J.-D., An experimental study of small-scale variability of radar reflectivity using disdrometer observations (2004) J. Clim., 43 (1), pp. 106-118
  • Moore, R.J., Jones, D.A., Cox, D.R., Isham, V.S., Design of the HYREX raingauge network (2000) Hydrol. Earth Syst. Sci., 4, pp. 523-530
  • Moreau, E., Testud, J., Le Bouar, E., Rainfall spatial variability observed by X-band weather radar and its implication for the accuracy of rainfall estimates (2009) Adv. Water Res
  • Morrissey, M.L., Maliekal, J.A., Greene, J.S., Wang, J., The uncertainty of simple spatial averages using rain gauge networks (1995) Wat. Res. Res., 31, pp. 2011-2017
  • Nespor, V., Krajewski, W.F., Kruger, A., Wind-induced error of raindrop size distribution measurement using a two-dimensional video disdrometer (2000) J. Atmos. Oceanic Technol., 17 (11), pp. 1483-1492
  • New, M., Hulme, M., Jones, P., Representing twentieth century space-time climate variability. Part I: development of a 1961-90 mean monthly terrestrial climatology (1999) J. Climate, 12, pp. 829-856
  • New, M., Hulme, M., Jones, P., Representing twentieth-century space-time climate variability. Part II: development of 1901-96 monthly grids of terrestrial surface climate (2000) J. Climate, 13, pp. 2217-2238
  • Onogi, K., Tsutsui, J., Koide, H., Sakamoto, M., Kobayashi, S., Hatsushika, H., Matsumoto, T., Taira, R., The JRA-25 reanalysis (2007) J. Meteorol. Soc. Jpn., 85, pp. 369-432
  • Parrish, D.F., Derber, J.C., The National Meteorological Center's spectral statistical interpolation analysis system (1992) Mon. Weather Rev., 120, pp. 1747-1763
  • Pedersen, L., Jensen, N.E., Christensen, L.E., Madsen, H., Quantification of the spatial variability of rainfall based on a dense network of rain gauges (2010) Atmos. Res., 95 (4), pp. 441-454
  • Petersen, W.A., Mesoscale and radar observations of the Fort Collins flash flood of 28 July 1997 (1999) Bull. Amer. Meteorol. Soc., 80, pp. 191-216
  • Petersen, W.A., Distributed disdrometer and rain gauge measurement infrastructure developed for GPM Ground Validation (2010) American Geophysical Union, Transactions, Fall Meeting, December 2010, San Francisco, California
  • Prigent, C., Precipitation retrieval from space: a review (2010) C. R. Acad. Sci. Geosci., 342, pp. 380-389
  • Qian, T., Dai, A., Trenberth, K.S., Oleson, K.W., Simulation of global land surface conditions from 1948 to 2004. Part I: forcing data and evaluations (2006) J. Hydrometeorol., 7, pp. 953-975
  • Rabier, F., Järvinen, H., Klinker, V., Mahfouf, J.-F., Simmons, A., The ECMWF operational implementation of four-dimensional variational assimilation. I: experimental results with simplified physics (2000) Q. J. R. Meteorol. Soc., 126, pp. 1143-1170
  • Rötter, R.P., Carter, T.R., Olesen, J.E., Porter, J.R., Crop-climate models need an overhaul (2011) Nature Climate Change, 1
  • Ryzhkov, A., Schuur, T., Burgess, D.W., Heinselman, P.L., Giangrande, S.E., Zrnic, D.S., The joint polarization experiment: polarimetric rainfall measurements and hydrometeor classification (2005) Bull. Amer. Meteorol. Soc., 86, pp. 809-824
  • Sánchez, J.L., Gil-Robles, B., Dessens, J., Martin, E., López, L., Marcos, J.L., Berthet, C., García-Ortega, E., Characterization of hailstone size spectra in hailpad networks in France, Spain, and Argentina (2009) Atmos. Res., 93 (1-3), pp. 641-654
  • Sánchez, J.L., Marcos, J.L., Dessens, J., López, L., Bustos, C., García-Ortega, E., Assessing sounding-derived parameters as storm predictors in different latitudes (2009) Atmos. Res., 93 (1-3), pp. 446-456. , ISSN 0169-8095, 4th European Conference on Severe Storms - 4ECSS, 4th European Conference on Severe Storms, July 2009
  • Sánchez, J.L., Gil-Robles, B., Dessens, J., Martin, E., López, L., Marcos, J.L., Berthet, C., García-Ortega, E., Characterization of hailstone size spectra in hailpad networks in France, Spain, and Argentina (2009) Atmos. Res., 93 (1-3), pp. 641-654. , ISSN 0169-8095, 4th European Conference on Severe Storms - 4ECSS, 4th European Conference on Severe Storms, July 2009
  • Schonhuber, M., Lammer, G., Randeu, W.L., The 2D-video-vistrometer (2008) Precipitation: Advances in Measurement, Estimation and Prediction, , Chapter 1, Springer, S. Michaelides (Ed.)
  • Scofield, R.A., Kuligowski, R.J., Status and outlook of operational satellite precipitation algorithms for extreme-precipitation events (2003) Mon. Weather Rev., 18, pp. 1037-1051
  • Sieck, L.C., Burgess, S.J., Steiner, M., Challenges in obtaining reliable measurements of point rainfall (2007) Wat. Res. Res., 43, pp. W01420
  • Sorooshian, S., Hsu, K.-L., Gao, X., Gupta, H.V., Imam, B., Braithwaite, D., Evaluation of PERSIANN system satellite-based estimates of tropical rainfall (2000) Bull. Am. Meteorol. Soc., 81, pp. 2035-2046
  • Strangeways, I., Improving precipitation measurement (2004) Int. J. Climatol., 24 (11), pp. 1443-1460
  • Strangeways, I., A history of rain gauges (2010) Weather, 65 (5), pp. 133-138
  • Talagrand, O., Courtier, P., Variational assimilation of meteorological observations with the adjoint vorticity equation. Part I: theory (1987) Q. J. R. Meteorol. Soc., 113, pp. 1311-1328
  • Tapiador, F.J., A physically-based satellite rainfall estimation method using fluid dynamics modelling (2008) Int. J. Remote. Sens., 29 (20), pp. 5851-5862
  • Tapiador, F.J., Assessment of renewable energy potential through satellite data and numerical models (2009) Energy Environ. Sci., 7 (2), pp. 1142-1161
  • Tapiador, F.J., A joint estimate of the precipitation climate signal in Europe using eight regional models and five observational datasets (2010) J. Clim., 23 (7), pp. 1719-1738
  • Tapiador, F.J., Sanchez, E., Changes in the European precipitation climatologies (2070-2100) as derived by eight regional climate models (2008) J. Clim., 21 (11), pp. 2540-2557
  • Tapiador, F.J., Kidd, C., Hsu, K.-L., Marzano, F.S., Neural networks in satellite rainfall estimation (2004) Meteorol. Appl., 11, pp. 83-91
  • Tapiador, F.J., Checa, R., de Castro, M., An experiment to measure the spatial variability of rain drop size distribution using sixteen laser disdrometers (2010) Geophys. Res. Lett., 37, pp. L16803
  • Tapiador, F.J., Hou, A.Y., de Castro, M., Checa, R., Cuartero, F., Barros, A.P., Precipitation estimates for hydroelectricity (2011) Energy Environ. Sci
  • Thurai, M., Bringi, V.N., Petersen, W.A., Rain microstructure retrievals using 2-D video disdrometer and C-band polarimetric radar (2009) Adv. Geosci., 20, pp. 13-18
  • Thurai, M., Petersen, W.A., Tokay, A., Schultz, C., Gatlin, P., Drop size distribution comparisons between Parsivel and 2D video disdrometers (2011) Adv. Geosci., 30, pp. 3-9
  • Tokay, A., Bashor, P.G., An experimental study of small-scale variability of raindrop size distribution (2010) J. Appl. Meteorol. Climatol., 49, pp. 2348-2365
  • Tokay, A., Short, D.A., Evidence from tropical raindrop spectra of the origin of rain from stratiform versus convective clouds (1996) J. Appl. Meteorol., 35, pp. 355-371
  • Tokay, A., Kruger, A., Krajewski, W.F., Comparison of drop size distribution measurements by impact and optical disdrometers (2001) J. Appl. Meteorol., 40, pp. 2083-2097
  • Tokay, A., Wolff, D.B., Wolff, K.R., Bashor, P., Rain gauge and disdrometer measurements during the keys area microphysics project (KAMP) (2003) J. Atmos. Oceanic Technol., 20, pp. 1460-1477
  • Tokay, A., Bashor, P.G., Habib, E., Kasparis, T., Raindrop size distribution measurements in tropical cyclones (2008) Mon. Weather Rev., 136, pp. 1669-1685
  • Tsuyuki, T., Variational data assimilation in the Tropics using precipitation data. Part III: assimilation of SSM/I precipitation rates (1997) Mon. Weather Rev., 125, pp. 1447-1464
  • Tuovinen, J.P., Punkka, A.-J., Rauhala, J., Hohti, H., Schultz, D.M., Climatology of severe hail in Finland: 1930-2006 (2009) Mon. Weather Rev., 137 (7), pp. 2238-2249
  • Turk, F.J., Mehta, A.V., Towards improvements in short-time scale satellite-derived precipitation estimates using blended satellite techniques (2007) Measuring Precipitation from Space:EURAINSAT and the Future, pp. 281-290. , V. Levizzani (Ed.)
  • Uppala, S.M., Kllberg, P.W., Simmons, A.J., Andrae, U., Bechtold, V.D.C., Fiorino, M., Gibson, J.K., Woollen, J., The ERA-40 re-analysis (2005) Q. J. R. Meteorol. Soc., 131 (612), pp. 2961-3012
  • Upton, G., Brawn, D., (2008) An investigation of factors affecting the accuracy of Thies disdrometers. IOM-96, TECO 2008, , World Meteorological Organization
  • (2009) ENSEMBLES: Climate Change and its Impacts: Summary of research and results from the ENSEMBLES project, , Met Office Hadley Centre, FitzRoy Road, ExeterEX1 3PB, UK,P. van der Linden, J.F.B. Mitchell (Eds.)
  • Veurich, E., Monesi, C., Lanza, L.G., Stagi, L., Lanzinger, E., WMO field intercomparisons of rainfall intensity gauges (2009) Instruments and Observing Methods, Report 99, p. 96. , WMO/TD-No. 1504
  • Vicente, G.A., Scofield, R.A., Menzel, W.P., The operational GOES infrared rainfall estimation technique (1998) Bull. Amer. Meteor. Soc., 79, pp. 1883-1898
  • Villarini, G., Mandapaka, P.V., Krajewski, W.F., Moore, R.J., Rainfall and sampling errors: a rain gauge perspective (2008) J. Geophys. Res., 113, pp. D11102
  • Wilheit, T., Chang, A., Chiu, L., Retrieval of monthly rainfall indices from microwave radiometric measurements using probability distribution function (1991) J. Atmos. Oceanic Technol., 8, pp. 118-136
  • Wolff, D.B., Marks, D.A., Amitai, E., Silberstein, D.S., Fisher, B.L., Tokay, A., Wang, J., Pippitt, J.L., Ground validation for the Tropical Rainfall Measuring Mission (TRMM) (2005) J. Atmos. Oceanic Technol., 22, pp. 365-380
  • Wood, S.J., Jones, D.A., Moore, R.J., Accuracy of rainfall measurement for scales of hydrological interest (2000) Hydrol. Earth Syst. Sci., 4, pp. 531-543
  • Xie, P., Arkin, P.A., Gauge-based monthly analysis of global land precipitation from 1971 to 1994 (1996) J. Geophys. Res., 101, pp. 19023-19034
  • Xie, P.P., Janowiak, J.E., Arkin, P.A., Alder, R., Gruber, A., Ferraro, R., Huffmann, G.J., Curtis, S., GPCP pentad precipitation analyses: an experimental dataset based on gauge observations and satellite estimates (2003) J. Climate, 16, pp. 2197-2214
  • Yuter, S.E., Kingsmill, D., Nance, L.B., Loffler-Mang, M., Observations of precipitation size and fall speed characteristics within coexisting rain and wet snow (2006) J. Appl. Meteorol. Climatol., 45, pp. 1450-1464
  • Zou, X., Tangent linear and adjoint of'on-off' processes and their feasibility for use in 4-dimensional variational assimilation (1997) Tellus, 49 A, pp. 3-31
  • Zou, X., Kuo, Y.-H., Rainfall assimilation through an optimal control of initial and boundary conditions in a limited-area mesoscale model (1996) Mon. Weather Rev., 124, pp. 2859-2882
  • Zupanski, D., The effects of discontinuities in the Betts-Miller cumulus convection scheme on four-dimensional variational data assimilation (1993) Tellus, 45 A, pp. 511-524
  • Zupanski, D., Mesinger, F., Four-dimensional variational assimilation of precipitation data (1995) Mon. Weather Rev., 123, pp. 1112-1127

Citas:

---------- APA ----------
Tapiador, F.J., Turk, F.J., Petersen, W., Hou, A.Y., García-Ortega, E., Machado, L.A.T., Angelis, C.F.,..., de Castro, M. (2012) . Global precipitation measurement: Methods, datasets and applications. Atmospheric Research, 104-105, 70-97.
http://dx.doi.org/10.1016/j.atmosres.2011.10.021
---------- CHICAGO ----------
Tapiador, F.J., Turk, F.J., Petersen, W., Hou, A.Y., García-Ortega, E., Machado, L.A.T., et al. "Global precipitation measurement: Methods, datasets and applications" . Atmospheric Research 104-105 (2012) : 70-97.
http://dx.doi.org/10.1016/j.atmosres.2011.10.021
---------- MLA ----------
Tapiador, F.J., Turk, F.J., Petersen, W., Hou, A.Y., García-Ortega, E., Machado, L.A.T., et al. "Global precipitation measurement: Methods, datasets and applications" . Atmospheric Research, vol. 104-105, 2012, pp. 70-97.
http://dx.doi.org/10.1016/j.atmosres.2011.10.021
---------- VANCOUVER ----------
Tapiador, F.J., Turk, F.J., Petersen, W., Hou, A.Y., García-Ortega, E., Machado, L.A.T., et al. Global precipitation measurement: Methods, datasets and applications. Atmos. Res. 2012;104-105:70-97.
http://dx.doi.org/10.1016/j.atmosres.2011.10.021