Comparison of Different Techniques for the Measurement of Precipitation in Tropical Montane Rain Forest Regions

R. Rollenbeck Department of Geography, University of Marburg, Marburg, Germany
Department of Bioclimatology and Immision Research, Technical University of Munich, Munich, Germany

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J. Bendix Department of Geography, University of Marburg, Marburg, Germany

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P. Fabian Department of Bioclimatology and Immision Research, Technical University of Munich, Munich, Germany

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J. Boy Department of Soil Geography/Soil Science, University of Mainz, Mainz, Germany

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W. Wilcke Department of Soil Geography/Soil Science, University of Mainz, Mainz, Germany

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H. Dalitz Institute of Botany, University of Hohenheim, Hohenheim, Germany

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M. Oesker Institute of Botany, University of Hohenheim, Hohenheim, Germany

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P. Emck Department of Geography, University of Erlangen, Erlangen, Germany

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Abstract

Characteristics of different precipitation measurements in a tropical mountain valley in southern Ecuador are compared in this study to determine potential errors. The instruments are used for different ecological purposes like erosion studies, through fall measurements, investigation of atmospheric chemistry, and modeling of area rainfall distribution. Five recording devices (two precipitation radars, an electro-optical present weather sensor, and two tipping buckets) and three totaling gauges were operated in parallel at a designated site. Data were taken between 1998 and 2003 with different temporal resolution and different operational periods. The general agreement between the instruments is rather good; deviations are in the expected range of 10%–20% of the annual total of about 2200 mm. The remote sensing devices are superior in registering the frequent occurrence of light rain but are not capable of detecting the full range of rain intensities observed. The tipping buckets and the totaling gauges are reliable instruments, but a certain fraction of light drizzle and wind-driven rain is not detected. The present weather sensor has the widest range of sensitivity and supplies additional information on drop spectra. All datasets are affected by operational problems (interruptions, synchronization errors); hence, the redundancy given here seems reasonable for an ecosystem study.

Corresponding author address: Rütger Rollenbeck, Dept. of Geography, University of Marburg, Deutschhausstr. 10, 35032 Marburg, Germany. Email: rollenbe@staff.uni-marburg.de

Abstract

Characteristics of different precipitation measurements in a tropical mountain valley in southern Ecuador are compared in this study to determine potential errors. The instruments are used for different ecological purposes like erosion studies, through fall measurements, investigation of atmospheric chemistry, and modeling of area rainfall distribution. Five recording devices (two precipitation radars, an electro-optical present weather sensor, and two tipping buckets) and three totaling gauges were operated in parallel at a designated site. Data were taken between 1998 and 2003 with different temporal resolution and different operational periods. The general agreement between the instruments is rather good; deviations are in the expected range of 10%–20% of the annual total of about 2200 mm. The remote sensing devices are superior in registering the frequent occurrence of light rain but are not capable of detecting the full range of rain intensities observed. The tipping buckets and the totaling gauges are reliable instruments, but a certain fraction of light drizzle and wind-driven rain is not detected. The present weather sensor has the widest range of sensitivity and supplies additional information on drop spectra. All datasets are affected by operational problems (interruptions, synchronization errors); hence, the redundancy given here seems reasonable for an ecosystem study.

Corresponding author address: Rütger Rollenbeck, Dept. of Geography, University of Marburg, Deutschhausstr. 10, 35032 Marburg, Germany. Email: rollenbe@staff.uni-marburg.de

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  • Andrieu, H., Creutin J. D. , Delrieu G. , and Faure D. , 1997: Use of weather radar for the hydrology of a mountainous area. Part I: Radar measurement interpretation. J. Hydrol., 193 , 125.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Austin, G. L., and Wickham P. G. , 1995: Radar images. Images in Weather Forecasting, M. J. Bader et al., Eds., Cambridge University Press, 50–60.

    • Search Google Scholar
    • Export Citation
  • Barry, R. G., 1992: Mountain climatology and past and potential future climatic changes in mountain regions: A review. Mt. Res. Dev., 12 , 7186.

  • Beck, E., and Müller-Hohenstein K. , 2001: Analysis of undisturbed and disturbed tropical mountain forest ecosystems in southern Ecuador. Erde, 132 , 18.

    • Search Google Scholar
    • Export Citation
  • Bendix, J., 2000: Precipitation dynamics in Ecuador and northern Peru during the 1991/92 El Niño–A remote sensing perspective. Int. J. Remote Sens., 21 , 533548.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bendix, J., and Bendix A. , 1998: Climatological aspects of the 1991/92 El Niño in Ecuador. Bull. Inst. Francaise Etudes Andines, 27 , 655666.

    • Search Google Scholar
    • Export Citation
  • Bendix, J., Gämmerler S. , Reudenbach C. , and Bendix A. , 2003a: A case study on rainfall dynamics during El Niño/La Niña 1997/99 in Ecuador and surrounding areas as inferred from GOES-8 and TRMM-PR observations. Erdkunde, 57 , 8193.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bendix, J., Reudenbach C. , and Rollenbeck R. , 2003b: The Marburg Satellite Station (MSS). Proc. 2002 EUMETSAT Meteorological Satellite Data Users’ Conf., Dublin, Ireland, EUMETSAT, 139–146.

  • Bendix, J., Fabian P. , and Rollenbeck R. , 2004a: Gradients of fog and rain in a tropical montane cloud forest of southern Ecuador and its chemical composition. Proc. Third Int. Conf. on Fog, Fog Collection and Dew, Cape Town, South Africa, University of Pretoria, CD-ROM, H7.

  • Bendix, J., Rollenbeck R. , and Palacios E. , 2004b: Cloud classification in the Tropics—A suitable tool for climate-ecological studies in the high mountains of Ecuador. Int. J. Remote Sens., 25 , 45214540.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bendix, J., Rollenbeck R. , and Reudenbach C. , 2006: Diurnal patterns of rainfall in a tropical Andean valley of southern Ecuador as seen by a vertically pointing K-band Doppler radar. Int. J. Climatol., 26 , 829846.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • BIRAL, 2000: Operation and maintenance manual for the VPF-730 present weather sensor and VPF-710 visibility sensor. Bristol Industrial & Research Associates, 48 pp.

  • Bringi, V. N., and Chandrasekar V. , 2001: Polarimetric Doppler Weather Radars. Cambridge University Press, 636 pp.

  • Bruijnzeel, L. A., 2001: Hydrology of tropical montane cloud forests: A reassessment. Land Use Water Resour. Res., 1 , 1.11.18.

  • Changnon, S. A., 2002: Hydroclimatic differences in precipitation measured by two dense rain gauge networks. J. Hydrometeor., 3 , 6679.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dalitz, H., Homeier J. , Salazar H. R. , and Wolters A. , 2004: Spatial heterogeneity generating plant diversity? Proceeding of the 2nd Symposium of the A.F.W. Schimper-Foundation, S.-W. Breckle, B. Schweizer, and A. Fangmeier, Eds., Verlag Günther Heimback, 199–213.

  • Daly, C., Neilson R. P. , and Phillips D. L. , 1994: A statistical-topographical model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteor., 33 , 140158.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Frei, C., and Schär C. , 1998: A precipitation climatology of the Alps from high-resolution rain-gauge observations. Int. J. Climatol., 18 , 873900.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Groisman, P. Ya, and Legates D. R. , 1994: The accuracy of United States precipitation data. Bull. Amer. Meteor. Soc., 75 , 215227.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hagen, M., Schiesser H-H. , and Dorninger M. , 2000: Monitoring of mesoscale precipitation systems in the Alps and the northern Alpine foreland by radar and rain gauges. Meteor. Atmos. Phys., 72 , 87100.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jensen, N. E., 2001: Local area weather radar documentation. Tech. Note DHI/LAWR/TN 24/09-2001 V 2.0, DHI–Institute for the Water Environment, Copenhagen, Denmark, 18 pp.

  • Jensen, N. E., 2002: X-band local area weather radar—Preliminary calibration results. Water Sci. Technol., 45 , 135138.

  • Klugmann, D., Heinsohn K. , and Kirtzel H-J. , 1996: A low cost 24 GHz FM-CW-Doppler radar rain profiler. Contrib. Atmos. Phys., 69 , 247253.

    • Search Google Scholar
    • Export Citation
  • Leroy, M., Bellevaux C. , and Jacob J. P. , 1998: WMO intercomparison of present weather sensor/systems: Canada and France 1993–1995. Instruments and Observing Methods Rep. 73, 169 pp.

  • Levizzani, V., 2003: Satellite rainfall estimations: New perspectives for meteorology and climate from the EURAINSAT project. Ann. Geophys., 46 , 363372.

    • Search Google Scholar
    • Export Citation
  • Löffler-Mang, M., Kunz M. , and Schmid W. , 1999: On the performance of a low-cost K-band Doppler radar for quantitative rain measurements. J. Atmos. Oceanic Technol., 16 , 379387.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Masunaga, H., Iguchi T. , Oki R. , and Kachi M. , 2002: Comparison of rainfall products derived from TRMM Microwave Imager and precipitation radar. J. Appl. Meteor., 41 , 849862.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • McCollum, J. R., and Krajewski W. F. , 1998: Uncertainty of monthly rainfall estimates from rain gauges in the Global Precipitation Climatology Project. Water Resour. Res., 34 , 26472654.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Morissey, M. L., Maliekal J. A. , Greene J. S. , and Wang J. , 1995: The uncertainty of simple spatial averages using rain gauge networks. Water Resour. Res., 31 , 20112017.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nystuen, J. A., 1999: Relative performance of automatic rain gauges under different rainfall conditions. J. Atmos. Oceanic Technol., 16 , 10251043.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Oesker, M., Homeier J. , and Dalitz H. , 2005: Spatial heterogeneity of canopy throughfall quantity and quality in a tropical mountain Forest in south Ecuador. Proc. Second Int. Conf. on Tropical Montane Cloud Forests, Waimea, Hawaii, University of Waimea, in press.

  • Pedersen, L., 2004: Scaling properties of precipitation. M.S. thesis, Department of Civil Engineering, Aalborg University, 173 pp. [Available online at www.exigo.dk.].

  • Peters, G., Fischer B. , and Andersson T. , 2002: Rain observation with a vertically looking Micro Rain Radar (MRR). Bor. Environ. Res., 7 , 353362.

    • Search Google Scholar
    • Export Citation
  • Richter, M., 2003: Using plant functional types and soil temperatures for eco-climatic interpretation in southern Ecuador. Erdkunde, 57 , 161181.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rollenbeck, R., and Bendix J. , 2006: Experimental calibration of a cost-effective X-band weather radar for climate-ecological studies in southern Ecuador. Atmos. Res., 79 , 296316.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rollenbeck, R., Fabian P. , and Bendix J. , 2005: Precipitation dynamics and chemical properties in tropical mountain forests of Ecuador. Adv. Geosci., 6 , 14.

    • Search Google Scholar
    • Export Citation
  • Rollenbeck, R., Bendix J. , and Fabian P. , 2006: Spatial and temporal dynamics of atmospheric water- and nutrient inputs in tropical mountain forests of southern Ecuador. Mountains in the Mist: Science for Conserving and Managing Tropical Montane Cloud Forests, L. A. Bruijnzeel et al., Eds., University of Hawaii Press, in press.

    • Search Google Scholar
    • Export Citation
  • Serra, Y. L., A’Hearn P. , Freitag H. P. , and McPhaden M. J. , 2001: ATLAS self-siphoning rain gauge error estimates. J. Atmos. Oceanic Technol., 18 , 19892002.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sevruk, B., 1981: Methodische Untersuchung des systematischen Meßfehlers des Regenmessers nach Hellmann (Methodological investigation of the systematic error of the Hellmann Raingauge). Ph.D. thesis, ETH Zürich, Zürich, Switzerland, 298 pp.

  • Sklenář, P., and Lægaard S. , 2003: Rain-shadow in the high Andes of Ecuador evidenced by Páramo vegetation. Arct. Antarct. Alp. Res., 35 , 817.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wilcke, W., Yasin S. , Valarezo C. , and Zech W. , 2001: Change in water quality during the passage through a tropical montane rain forest in Ecuador. Biogeochemistry, 55 , 4572.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yoo, C., and Ha E. , 2002: Basin average rainfall and its sampling error. Water Resour. Res., 38 .1259, doi:10.1029/2001WR001081.

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