Satellite Rain Estimation in the U.S. High Plains

Griffith, Cecilia Girz; Augustine, John; Woodley, William L.

doi:10.1175/1520-0450(1981)020<0053:sreitu>2.0.co;2

Cited by 38 publications

(8 citation statements)

References 9 publications

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“…Rapid cloud development is frequently associated with convection, and many algorithms make use of changes in cloud temperature or area between successive images to distinguish between growing and dissipating systems (Bellerby et al 2000;Stout et al 1979;Wu et al 1985). The Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks with a Cloud Classification System (PERSIANN-CCS) algorithm (Hong et al 2004) uses a statistical analysis of cloud patch textures to estimate their position within the cloud life cycle, whereas other techniques have employed whole-cloud tracking to vary cloud-area/rainfall relationships throughout cloud histories Griffith et al 1981;Woodley et al 1980). Horsfield (2006) developed a cloud-patch water balance model for convective systems.…”

Section: A Backgroundmentioning

confidence: 99%

LMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part I: Algorithm Construction and Calibration

Bellerby

Hsu

Sorooshian

2009

Journal of Hydrometeorology

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The Lagrangian Model (LMODEL) is a new multisensor satellite rainfall monitoring methodology based on the use of a conceptual cloud-development model that is driven by geostationary satellite imagery and is locally updated using microwave-based rainfall measurements from low earth-orbiting platforms. This paper describes the cloud development model and updating procedures; the companion paper presents model validation results. The model uses single-band thermal infrared geostationary satellite imagery to characterize cloud motion, growth, and dispersal at high spatial resolution (;4 km). These inputs drive a simple, linear, semi-Lagrangian, conceptual cloud mass balance model, incorporating separate representations of convective and stratiform processes. The model is locally updated against microwave satellite data using a two-stage process that scales precipitable water fluxes into the model and then updates model states using a Kalman filter. Model calibration and updating employ an empirical rainfall collocation methodology designed to compensate for the effects of measurement time difference, geolocation error, cloud parallax, and rainfall shear.

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Section: A Backgroundmentioning

confidence: 99%

LMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part I: Algorithm Construction and Calibration

Bellerby

Hsu

Sorooshian

2009

Journal of Hydrometeorology

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“…The Arkin technique (Arkin, 1979;Arkin and Ardanuy, 1989;Arkin and Xie, 1994;) is a cloud index class, the most common IR-based technique, which is also the basis of GPI (GOES precipitation index). The NAW technique (Negri et al, 1984) is a simplified version of the Griffith and Woodley life history method (Griffith et al, 1978(Griffith et al, , 1981. Lastly, the Autoestimator technique (Vicente and Scofield, 1997;Vicente et al, 1998) is tested.…”

Section: Description Of the Techniquesmentioning

confidence: 99%

Comparison of three infrared satellite techniques to estimate accumulated rainfall over the Iberian Peninsula

Tarruella

Jorge

2003

Intl Journal of Climatology

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The potential of three infrared satellite-based techniques to estimate accumulated rainfall is tested, and the techniques are compared and contrasted. The tests are conducted in the western Mediterranean area and for the first time in the Iberian Peninsula. The well-known Arkin and the Negri-Adler-Wesley techniques are applied, as well as the Autoestimator technique during the autumn of 1994. Because the aim of this work is to automate the process of extracting the data inferred in a large number of satellite images for as long as possible (only 4368 images have been analysed in this paper), no assisted preselection is recommended. The correlation coefficients obtained for the three methods in comparisons at specific points are near 0.6; and even better results were obtained for wide areas. The Iberian Peninsula is divided into three zones, which present different climatic characteristics. Tests conducted in the north and northwest yielded the worst results, probably due to the predominance of stratiform rain and the associated orographic effects. Tests conducted in Mediterranean coastal areas gave the best results, probably due to the convective nature of precipitation predominant in this zone. Various modifications are introduced in the methods, in order to adapt them to the target area.

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“…The convective nature of the Sahelian precipitation is another good reason for relying on satellite data for rainfall estimation, as was shown by Barrett & Martin (1981). Following the work of Griffith et al (1981) over the high US plains and of Woodley et al (1980) and Richards & Arkin (1981) in tropical regions (within the framework of the GARP Atmospheric Tropical Experiment (GATE)), it appeared straightforward to use the approach in the Sahel. While the GATE study was concerned with oceanic regions displaying marked differences from the Sahel, Cam & Lahuec (1987), Thiao et al (1990) and Dugdale et al (1991), have derived various methods of satellite rainfall estimation over the Sahel for time periods greater than a month.…”

Section: Satellite Rainfall Estimation: the Need For An Appropriate Ymentioning

confidence: 99%

Rainfall estimation in the Sahel: the EPSAT-NIGER experiment

Lebel

Sauvageot

Hoepffner

et al. 1992

Hydrological Sciences Journal

104

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EPSAT-NIGER (Estimation of Precipitation by SATellite -NIGER experiment) has been designed to improve the understanding of the precipitation systems of Sudano-Sahelian Africa and to develop operational rainfall estimation algorithms for this region. It is based on the combined use of a very dense raingauge network (93 gauges over a study area of 16 000 km 2 ) and a C-band weather radar system. The experiment is scheduled to last three years, 1990-1992. The network pattern, a regular grid with nodes spaced at 12.5 km and a 16 gauge target area where the distance between stations is decreased to 1 km, has allowed for some preliminary studies on the rainfall distribution at various space and time scales. Whereas the long term average rainfall gradient is uniform, rainfall increasing north to south, a single rainy season can be markedly different. The local variability may be extremely large. That variability is enhanced at smaller sampling time steps and the computation of reference areal rainfall for satellite imagery validation is extremely sensitive to the design of the ground-based validation system. The joint processing of gauge and radar data has led to the identification of a few typical features of the drop size distribution of the African squall lines, which could lead to deriving specific algorithms for radar calibration in this region. The data provided by EPSAT-NIGER will be used in various international projects for the assessment of water input from the atmosphere to the continent over the Sahel.Estimation des précipitations au Sahel: l'expérience EPSAT-NIGER Résumé Le projet EPSAT-NIGER (Estimation des Précipitations par SATellite -expérience NIGER) est une expérience destinée à améliorer Open for discussion until 1 December 1992

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Satellite Rain Estimation in the U.S. High Plains

Cited by 38 publications

References 9 publications

LMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part I: Algorithm Construction and Calibration

LMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part I: Algorithm Construction and Calibration

Comparison of three infrared satellite techniques to estimate accumulated rainfall over the Iberian Peninsula

Rainfall estimation in the Sahel: the EPSAT-NIGER experiment

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