Cross-evaluation of ground-based, multi-satellite and reanalysis precipitation products: Applicability of the Triple Collocation method across Mainland China
Evaluating the reliability of satellite and reanalysis precipitation products is critical but
challenging over ungauged or poorly gauged regions. The Triple Collocation (TC) method is …
challenging over ungauged or poorly gauged regions. The Triple Collocation (TC) method is …
Global precipitation measurement
C Kidd, G Huffman - Meteorological Applications, 2011 - Wiley Online Library
The quantification of precipitation on a global scale is critical for applications ranging from
climate monitoring to water resource management. Conventional observations through …
climate monitoring to water resource management. Conventional observations through …
[HTML][HTML] Gridded ensemble precipitation and temperature estimates for the contiguous United States
Gridded precipitation and temperature products are inherently uncertain because of myriad
factors, including interpolation from a sparse observation network, measurement …
factors, including interpolation from a sparse observation network, measurement …
An assessment of the performance of global rainfall estimates without ground-based observations
Satellite-based rainfall estimates over land have great potential for a wide range of
applications, but their validation is challenging due to the scarcity of ground-based …
applications, but their validation is challenging due to the scarcity of ground-based …
Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response
The aim of this paper is to foster the development of an end‐to‐end uncertainty analysis
framework that can quantify satellite‐based precipitation estimation error characteristics and …
framework that can quantify satellite‐based precipitation estimation error characteristics and …
Modeling errors in daily precipitation measurements: Additive or multiplicative?
The definition and quantification of uncertainty depend on the error model used. For
uncertainties in precipitation measurements, two types of error models have been widely …
uncertainties in precipitation measurements, two types of error models have been widely …
A first approach to global runoff simulation using satellite rainfall estimation
Motivated by the recent increasing availability of global remote sensing data for estimating
precipitation and describing land surface characteristics, this note reports an approximate …
precipitation and describing land surface characteristics, this note reports an approximate …
Machine learning-based error modeling to improve GPM IMERG precipitation product over the brahmaputra river basin
The Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM)(IMERG)
Level 3 estimates rainfall from passive microwave sensors onboard satellites that are …
Level 3 estimates rainfall from passive microwave sensors onboard satellites that are …
Characterization of precipitation product errors across the United States using multiplicative triple collocation
SH Alemohammad, KA McColl… - Hydrology and Earth …, 2015 - hess.copernicus.org
Validation of precipitation estimates from various products is a challenging problem, since
the true precipitation is unknown. However, with the increased availability of precipitation …
the true precipitation is unknown. However, with the increased availability of precipitation …
Propagation of satellite precipitation uncertainties through a distributed hydrologic model: A case study in the Tocantins–Araguaia basin in Brazil
This study investigates the applicability of error corrections to satellite-based precipitation
products in streamflow simulations. A three-year time series (2008–2011) is considered …
products in streamflow simulations. A three-year time series (2008–2011) is considered …