Validation of high-resolution TRMM-3B43 precipitation product using rain gauge measurements over Kyrgyzstan

Karaseva, Marina O.; Prakash, Satya; Gairola, R. M.

doi:10.1007/s00704-011-0509-6

Cited by 85 publications

(53 citation statements)

References 23 publications

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“…Ressalta-se que os valores de d 1 e d 2 mais elevados se concentraram nos meses de julho, agosto e setembro. Assim como observado por Collischonn et al (2007), Karaseva et al (2011) e Li et al (2011 os resultados mostraram que as estimativas de precipitação fornecidas pelo TRMM são consistentes porém alguns erros ainda existem e são discrepantes podendo ocorrer devido pelo fato do TRMM abranger uma área de 25 x 25 km enquanto a estação meteorológica mede a precipitação, de forma pontual.…”

Section: Resultsunclassified

“…Assim como observado por diferentes autores (Collischonn et al, 2007;Karaseva et al, 2011) os resultados obtidos por meio da validação dos dados de precipitação pluvial e de temperatura, indicam que os satélites TRMM e Aqua são alternativas eficientes para aquisição de informações em locais do Estado Tabela 1. Validação dos dados de precipitação pluvial do satélite TRMM: erro médio absoluto (EMA), erro médio quadrático (EMQ), os índices de concordância de Willmott (d2) de São Paulo onde ocorrem falhas ou escassez dos mesmos, podendo ser também utilizados na análise da consistência de valores obtidos por meio de redes meteorológicas.…”

Section: Resultsunclassified

“…Segundo Barrera (2005) este é o satélite mais bem equipado em termos de instrumentos para estimativa de precipitação, fornecendo dados mais precisos do que técnicas indiretas, baseadas em imagens de outros satélites. Entretanto, ainda são necessários estudos que validem essas informações, visando quantificar sua precisão e estabelecer uma aplicação direta desses produtos (Kummerow et al, 2000;Kurtzman et al, 2009;Karaseva et al, 2011).…”

Section: Introductionunclassified

“…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. Ressalta-se que em países desenvolvidos (EUA e Europa) poucos estudos são desenvolvidos nesta área em virtude da densa rede de estações meteorológicas existente.…”

Section: Introductionunclassified

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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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Section: Resultsunclassified

Section: Introductionunclassified

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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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“…Many previous studies [18,[45][46][47][48][49] have used gauge measurements to validate the accuracy of TMPA products. In this study, the error characteristics of IMERG monthly precipitation products over Mainland China were evaluated using gauge measurements at multiple spatiotemporal scales.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of IMERG and TRMM 3B43 Monthly Precipitation Products over Mainland China

2016

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Abstract:As the successor of the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement (GPM) mission significantly improves the spatial resolution of precipitation estimates from 0.25˝to 0.1˝. The present study analyzed the error structures of Integrated Multisatellite Retrievals for GPM (IMERG) monthly precipitation products over Mainland China from March 2014 to February 2015 using gauge measurements at multiple spatiotemporal scales. Moreover, IMERG products were also compared with TRMM 3B43 products. The results show that: (1) overall, IMERG can capture the spatial patterns of precipitation over China well. It performs a little better than TRMM 3B43 at seasonal and monthly scales; (2) the performance of IMERG varies greatly spatially and temporally. IMERG performs better at low latitudes than at middle latitudes, and shows worse performance in winter than at other times; (3) compared with TRMM 3B43, IMERG significantly improves the estimation accuracy of precipitation over the Xinjiang region and the Qinghai-Tibetan Plateau, especially over the former where IMERG increases Pearson correlation coefficient by 0.18 and decreases root-mean-square error by 54.47 mm for annual precipitation estimates. However, most IMERG products over these areas are unreliable; and (4) IMERG shows poor performance in winter as TRMM 3B43 even if GPM improved its ability to sense frozen precipitation. Most of them over North China are unreliable during this period.

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Evaluation of reanalysis, spatially interpolated and satellite remotely sensed precipitation data sets in central Asia

et al. 2016

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The accuracy of any gridded climatic data sets is as important as their availability for regional climate and ecological studies. In this study, the accuracy of estimated precipitation in central Asia from three recently developed reanalysis data sets, Modern‐Era Retrospective Analysis for Research and Applications (MERRA), ECMWF Interim Re‐Analysis (ERA‐Interim), and Climate Forecast System Reanalysis (CFSR), is evaluated through comparisons with observations from 399 stations during 1979–2010. An interpolated precipitation data set from station observations and a satellite remotely sensed data set, Tropical Rainfall Measuring Mission (TRMM) 3B42, are included in the evaluation. Major results show that MERRA data have higher accuracy than ERA‐Interim and CFSR, although they all overestimate the observed precipitation especially in late spring and early summer months, suggesting errors in their ways of representing convective precipitation in that region. In comparison, the interpolated and satellite‐sensed data, which provide no upper air information/data, have higher accuracy. While all these data sets have difficulty in describing stations' precipitation in mountainous areas, the reanalysis data sets have particularly large discrepancies. In examining the discrepancy in the reanalysis data, a Precipitation‐Topography Partial Least Squares method is proposed to incorporate certain terrain/geographic effects on precipitation in mapping the gridded data to the station locations for comparison with the observation. The outcome suggests that the estimated station precipitation by this new method is closer to the observed than the method without considering those factors. The improvement by this method and by possible other methods taking into account different details/aspects of the influences indicates that it is only meaningful to compare the accuracy or relevance of gridded data sets to station observations in a relative sense among various data sets.

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Validation of high-resolution TRMM-3B43 precipitation product using rain gauge measurements over Kyrgyzstan

Cited by 85 publications

References 23 publications

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

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

Evaluation of IMERG and TRMM 3B43 Monthly Precipitation Products over Mainland China

Evaluation of reanalysis, spatially interpolated and satellite remotely sensed precipitation data sets in central Asia

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