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A Step towards Integrating CMORPH Precipitation Estimation with Rain Gauge Measurements
Joint Authors
Vemado, Felipe
Pereira Filho, Augusto José
Vemado, Guilherme
Gomes Vieira Reis, Fábio Augusto
Giordano, Lucilia do Carmo
Cerri, Rodrigo Irineu
Santos, Cláudia Cristina dos
Sampaio Lopes, Eymar Silva
Gramani, Marcelo Fischer
Ogura, Agostinho Tadashi
Zaine, José Eduardo
Cerri, Leandro Eugenio da Silva
Augusto Filho, Oswaldo
D’Affonseca, Fernando Mazo
Amaral, Cláudio dos Santos
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-17
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
Accurate daily rainfall estimation is required in several applications such as in hydrology, hydrometeorology, water resources management, geomorphology, civil protection, and agriculture, among others.
CMORPH daily rainfall estimations were integrated with rain gauge measurements in Brazil between 2000 and 2015, in order to reduce daily rainfall estimation errors by means of the statistical objective analysis scheme (SOAS).
Early comparisons indicated high discrepancies between daily rain gauge rainfall measurements and respective CMORPH areal rainfall accumulation estimates that tended to be reduced with accumulation time span (e.g., yearly accumulation).
Current results show CMORPH systematically underestimates daily rainfall accumulation along the coastal areas.
The normalized error variance (NEXERVA) is higher in sparsely gauged areas at Brazilian North and Central-West regions.
Monthly areal rainfall averages and standard deviation were obtained for eleven Brazilian watersheds.
While an overall negative tendency (3 mm·h−1) was estimated, the Amazon watershed presented a long-term positive tendency.
Monthly areal mean precipitation and respective spatial standard deviation closely follow a power-law relationship for data-rich watersheds, i.e., with denser rain gauge networks.
Daily SOAS rainfall accumulation was also used to calculate the spatial distribution of frequencies of 3-day rainfall episodes greater than 100 mm.
Frequencies greater than 3% were identified downwind of the Peruvian Andes, the Bolivian Amazon Basin, and the La Plata Basin, as well as along the Brazilian coast, where landslides are recurrently triggered by precipitation.
American Psychological Association (APA)
Pereira Filho, Augusto José& Vemado, Felipe& Vemado, Guilherme& Gomes Vieira Reis, Fábio Augusto& Giordano, Lucilia do Carmo& Cerri, Rodrigo Irineu…[et al.]. 2018. A Step towards Integrating CMORPH Precipitation Estimation with Rain Gauge Measurements. Advances in Meteorology،Vol. 2018, no. 2018, pp.1-24.
https://search.emarefa.net/detail/BIM-1118652
Modern Language Association (MLA)
Pereira Filho, Augusto José…[et al.]. A Step towards Integrating CMORPH Precipitation Estimation with Rain Gauge Measurements. Advances in Meteorology No. 2018 (2018), pp.1-24.
https://search.emarefa.net/detail/BIM-1118652
American Medical Association (AMA)
Pereira Filho, Augusto José& Vemado, Felipe& Vemado, Guilherme& Gomes Vieira Reis, Fábio Augusto& Giordano, Lucilia do Carmo& Cerri, Rodrigo Irineu…[et al.]. A Step towards Integrating CMORPH Precipitation Estimation with Rain Gauge Measurements. Advances in Meteorology. 2018. Vol. 2018, no. 2018, pp.1-24.
https://search.emarefa.net/detail/BIM-1118652
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118652