DOI: 10.1016/j.jag.2015.06.002
Scopus记录号: 2-s2.0-85015866588
论文题名: Impact of different satellite soil moisture products on the predictions of a continuous distributed hydrological model
作者: Laiolo P ; , Gabellani S ; , Campo L ; , Silvestro F ; , Delogu F ; , Rudari R ; , Pulvirenti L ; , Boni G ; , Fascetti F ; , Pierdicca N ; , Crapolicchio R ; , Hasenauer S ; , Puca S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 48 起始页码: 131
结束页码: 145
语种: 英语
英文关键词: Assimilation impacts
; H-SAF
; Hydrological modelling
; Satellite data assimilation
; Soil moisture
Scopus关键词: data assimilation
; hydrological modeling
; remote sensing
; satellite data
; soil moisture
; surface temperature
; Italy
英文摘要: The reliable estimation of hydrological variables in space and time is of fundamental importance in operational hydrology to improve the flood predictions and hydrological cycle description. Nowadays remotely sensed data can offer a chance to improve hydrological models especially in environments with scarce ground based data. The aim of this work is to update the state variables of a physically based, distributed and continuous hydrological model using four different satellite-derived data (three soil moisture products and a land surface temperature measurement) and one soil moisture analysis to evaluate, even with a non optimal technique, the impact on the hydrological cycle. The experiments were carried out for a small catchment, in the northern part of Italy, for the period July 2012–June 2013. The products were pre-processed according to their own characteristics and then they were assimilated into the model using a simple nudging technique. The benefits on the model predictions of discharge were tested against observations. The analysis showed a general improvement of the model discharge predictions, even with a simple assimilation technique, for all the assimilation experiments; the Nash–Sutcliffe model efficiency coefficient was increased from 0.6 (relative to the model without assimilation) to 0.7, moreover, errors on discharge were reduced up to the 10%. An added value to the model was found in the rainfall season (autumn): all the assimilation experiments reduced the errors up to the 20%. This demonstrated that discharge prediction of a distributed hydrological model, which works at fine scale resolution in a small basin, can be improved with the assimilation of coarse-scale satellite-derived data. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80090
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: CIMA Research Foundation, Savona, Italy; Dept. Information Engineering, Electronics and Telecommunications, Sapienza University of, Rome, Italy; Serco SpA, Frascati, Italy; ESA-ESRIN, Frascati, Italy; Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria; National Civil Protection Department, Rome, Italy
Recommended Citation:
Laiolo P,, Gabellani S,, Campo L,et al. Impact of different satellite soil moisture products on the predictions of a continuous distributed hydrological model[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,48