A Step towards Integrating CMORPH Precipitation Estimation with Rain Gauge Measurements

A Step towards Integrating CMORPH Precipitation Estimation with Rain Gauge Measurements

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...

Full description

Saved in:
Bibliographic Details
Published in:Advances in meteorology Vol. 2018; no. 2018; pp. 1 - 24
Main Authors: Gramani, Marcelo Fischer, Zaine, José Eduardo, Cerri, Leandro Eugenio da Silva, Augusto Filho, Oswaldo, D’Affonseca, Fernando Mazo, Amaral, Cláudio dos Santos, Sampaio Lopes, Eymar Silva, Santos, Cláudia Cristina dos, Cerri, Rodrigo Irineu, Giordano, Lucilia do Carmo, Gomes Vieira Reis, Fábio Augusto, Vemado, Guilherme, Vemado, Felipe, Pereira Filho, Augusto José, Ogura, Agostinho Tadashi
Format: Journal Article
Language:English
Published: Cairo, Egypt Hindawi Publishing Corporation 2018
Hindawi
John Wiley & Sons, Inc
Hindawi Limited
Subjects:
Accumulation
Agricultural management
Agriculture
Amazon River region
Aquatic resources
Atmospheric precipitations
Brazil
China
Climate
Coastal zone
Daily precipitation
Estimates
Estimation errors
Forecasting
Gauges
Geomorphology
Hydrology
Hydrometeorology
Landslides
Management
Mean precipitation
Monthly rainfall
Objective analysis
Power law
Precipitation
Precipitation estimation
Rain
Rain and rainfall
Rain gauges
Rainfall
Rainfall estimation
Rainfall measurement
Resource management
River basins
Satellites
South America
Spatial distribution
Standard deviation
Statistical analysis
Stream flow
Topography
Uruguay
Variance analysis
Water
Water management
Water resources
Water resources management
Watersheds
South America
Brazil
Amazon River region
Uruguay
China
Amazon Basin
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1687-9309
1687-9317
DOI:10.1155/2018/2095304