Comparing high-resolution gridded precipitation data with satellite rainfall estimates of TRMM_3B42 over Iran

Javanmard, S; Yatagai, Akiyo; Nodzu, Masato I.; Bodaghjamali, J; Kawamoto, H.

doi:10.5194/adgeo-25-119-2010

Cited by 169 publications

(99 citation statements)

References 11 publications

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“…5 , who showed the same result using TRMM3B42 rainfall estimates compared with IS0902 rain-gauge-based data.…”

Section: Discussionsupporting

confidence: 58%

“…(2010) 5 found the SCC values between satellite-based (TRMM3B42) and gauge-based (IS0902) annual rainfall datasets over the three above-mentioned regions to be 0.77, 0.57, and 0.75 respectively.…”

Section: Mean Annual Precipitationmentioning

confidence: 99%

“…Javanmard et al (2010) 5 evaluated satellite rainfall estimates of the Tropical Rain Measurement Mission (TRMM) level 3 output (3B42) (TRMM 3B42) over Iran (20º-45º N, 40º-65º E) by comparison with high-resolution gridded precipitation datasets (0.25º×0.25º latitude/longitude) based on rain gauges (Iran Synoptic gauges Version 0902 [IS0902]). They found that TRMM 3B42 had underestimated mean annual precipitation for the entire country, the Caspian Sea region, and the Zagros Mountains, by approximately 0.17, 0.39, and 0.15mm/day, respectively, compared with IS0902 data, and the mean annual rainfall spatial correlation coefficients were 0.77 (entire country), 0.57 (Caspian Sea region), and 0.75 (Zagros Mountains).…”

Section: Introductionmentioning

confidence: 99%

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Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran

Jamli¹

2015

EARTH

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Abstract:Surface-based precipitation measurements with high accuracy on different spatial-temporal scales have a crucial importance in different land-use planning sectors, especially in arid and semi-arid regions, such as Iran. Because the density of spatial distribution of rain-gauges is not uniform throughout the country, satellite sensor technology is considered useful for precipitation monitoring over the study area. In this study, PERSIANN satellite-based rainfall data were validated through comparison with the APHRODITE surface-based precipitation data. The validation was carried out for annual and seasonal precipitation, as well as an inter-annual comparison. Our analysis was based on a visual comparison and a statistical approach, including linear regression and spatial correlation between APHRODITE and PERSIANN datasets for each 0.25°×0.25° grid cell in the entire country, in the Caspian Sea region, and in the Zagros Mountains, indicating spatial correlation coefficients of 0.62, 0.62, 0.47, respectively. Both APHRODITE data and PERSIANN data showed that spatial distribution of mean annual and seasonal precipitation over Iran has two main patterns: along the Caspian Sea and along the Zagros Mountain chain. In general, PERSIANN underestimates high rainfall rates by 5.5 mm/day in winter but overestimates the low rainfalls in annual and seasonal scales by 0.9 mm/day in summer.

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“…5 , who showed the same result using TRMM3B42 rainfall estimates compared with IS0902 rain-gauge-based data.…”

Section: Discussionsupporting

confidence: 58%

Section: Mean Annual Precipitationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran

Jamli¹

2015

EARTH

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“…Neste contexto, diversos trabalhos foram desenvolvidos visando validar ou comparar as estimativas da precipitação pluvial por satélite em diferentes regiões; tais como: Feidas et al (2010) para a Grécia e Javanmard et al (2010) para o Irã. Karaseva et al (2011) realizaram a validação dos dados mensais obtidos via sensoriamento remoto para o Quirguistão, enfocando a verificação da precisão em altas latitudes e em regiões com orografia complexa.…”

Section: Introductionunclassified

Validação de dados termopluviométricos obtidos via sensoriamento remoto para o Estado de São Paulo

Camparotto¹,

Blain²,

Giarolla³

et al. 2013

Rev. bras. eng. agríc. ambient.

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RESUMODados termopluviométricos são utilizados em diversos estudos. Contudo, a escassez de dados resultante da baixa densidade de estações meteorológicas é um problema frequentemente encontrado. Com isto, a utilização de dados estimados por satélites tem-se mostrado importante para regiões nas quais eles são escassos. Neste trabalho foram realizadas comparações entre dados mensais de precipitação pluvial estimados pelo satélite TRMM e de temperatura, estimados pelo satélite Aqua/MODIS aos dados observados por estações de superfície, para diferentes localidades do Estado de São Paulo, no período de 2003 a 2010. Os resultados demonstraram que para os dados de precipitação pluvial os menores erros foram observados nos meses de inverno e os maiores nos meses de verão. Em relação aos dados de temperatura observou-se que, com a inclusão de um fator de correção, os dados do satélite Aqua apresentaram boa exatidão em todos os meses. De maneira geral, os resultados obtidos indicam que os satélites TRMM e Aqua são alternativas eficientes na aquisição de informações em locais onde há falhas ou escassez dos mesmos podendo ser também utilizados na análise da consistência de dados coletados por meio de redes meteorológicas. Palavras-chave: TRMM, Aqua/MODIS, temperatura do ar, precipitação pluvialValidation of temperature and rainfall data obtained by remote sensing for the State of Sao Paulo, Brazil ABSTRACT Temperature and rainfall data are used in several scientific studies. However, the paucity of data resulting from the low density of weather stations is a problem frequently encountered in these studies. Thus, the use of estimated data from satellites has become an important tool in regions where they are scarce. In this study comparisons were made between monthly rainfall data estimated by TRMM satellite and temperature data estimated by the satellite Aqua/MODIS data observed by surface stations, for different locations in the State of Sao Paulo during the period 2003 to 2010. The results showed that for the rainfall data, smaller errors were observed during the winter and higher during the summer months. In relation to the temperature data it was observed that with the inclusion of the correction factor, the Aqua satellite data showed good accuracy in all months. Overall, the results obtained by validation of the data of rain and temperature, indicating that the satellite TRMM and Aqua are efficient alternatives for obtaining information of locations where there are errors or shortage of the same, may also be used to analyse the consistency of data collected by meteorological networks.

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“…Global precipitation is a major component for global water and energy cycle that influence significantly the Earth's climate system (Javanmard et al, 2010). Aerosols are known to impact the formation and the life cycle of clouds.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Aerosol Optical Depth Impacts on Rainfall in Two Different Monsoon Periods over Madurai, India

Gunaseelan

Bhaskar

Muthuchelian

2013

Aerosol Air Qual. Res.

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Comparing high-resolution gridded precipitation data with satellite rainfall estimates of TRMM_3B42 over Iran

Cited by 169 publications

References 11 publications

Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran

Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran

Validação de dados termopluviométricos obtidos via sensoriamento remoto para o Estado de São Paulo

The Impact of Aerosol Optical Depth Impacts on Rainfall in Two Different Monsoon Periods over Madurai, India

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