ASSIMILATION OF SATELLITE SOIL MOISTURE DATA INTO RAINFALL-RUNOFF MODELLING FOR SEVERAL CATCHMENTS WORLDWIDE

被引:10
|
作者
Brocca, Luca [1 ]
Moramarco, Tommaso [1 ]
Dorigo, Wouter [2 ]
Wagner, Wolfgang
机构
[1] CNR, Res Inst Geohydrol Protect, Perugia, Italy
[2] Vienna Univ Technol, Dept Geodesy & Geoinformat, Vienna, Austria
关键词
Soil moisture; data assimilation; remote sensing; rainfall-runoff modelling; ASCAT; PRODUCTS; SURFACE;
D O I
10.1109/IGARSS.2013.6723273
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The assimilation of satellite soil moisture data into rainfall-runoff modelling represents an important issue not only for research purposes but also for hydrological application addressing flood forecasting. Notwithstanding the large effort made in the last three decades, only few studies demonstrated a benefit deriving from the use of satellite soil moisture data in hydrology. This matter can be ascribed to the differences in the quality of the assimilated data, in the climatic conditions and in the data assimilation techniques that have been adopted. Based on that, this study compares different satellite soil moisture products in different catchments worldwide to shed light about the more suitable products and climatic conditions that should be employed for improving runoff prediction. The results reveal that the employed soil moisture products can be conveniently used to improve runoff prediction. However, reliability differs according to the climatic region and the accuracy of satellite retrievals.
引用
收藏
页码:2281 / 2284
页数:4
相关论文
共 50 条
  • [31] Evaluation of the FEH rainfall-runoff method for catchments in the UK
    Ashfaq, A.
    Webster, P.
    2002, Terence Dalton Ltd. (16):
  • [32] Application of a rainfall-runoff model to three catchments in Iraq
    Abdulla, F
    Al-Badranih, L
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2000, 45 (01): : 13 - 25
  • [33] SATELLITE SOIL MOISTURE DOWNSCALING USING RAINFALL RUNOFF MODEL
    Hapsari, R. I.
    Syarifuddin, M.
    Putri, R. I.
    Sasongko, R.
    Aponno, G.
    18TH ANNUAL MEETING OF THE ASIA OCEANIA GEOSCIENCES SOCIETY, AOGS 2021, 2022, : 67 - 69
  • [34] Rainfall-Runoff Modelling: Integrating Available Data and Modern Techniques
    Srinivasulu, S.
    Jain, A.
    PRACTICAL HYDROINFORMATICS: COMPUTATIONAL INTELLIGENCE AND TECHNOLOGICAL DEVELOPMENTS IN WATER APPLICATIONS, 2008, 68 : 59 - 70
  • [35] Assimilation of remotely sensed soil saturation levels in conceptual rainfall-runoff models
    Matgen, Patrick
    Henry, Jean-Baptiste
    Hoffmann, Lucien
    Pfister, Laurent
    PREDICTIONS IN UNGAUGED BASINS: PROMISE AND PROGRESS, 2006, 303 : 226 - +
  • [36] Filtration and assimilation of soil moisture satellite data
    Bogoslovskiy, Nikolay N.
    Erin, Sergei I.
    Borodina, Irina A.
    Kizhner, Lubov. I.
    21ST INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS, 2015, 9680
  • [37] RAINFALL-RUNOFF MODELLING ON KRINICE BASIN
    Krpcova, L.
    UCLIO 2010: UNIVERSITY CONFERENCE IN LIFE SCIENCES - PROCEEDINGS, 2010, : 292 - 295
  • [38] Rainfall-runoff processes and modelling - Discussion
    Wong, TSW
    JOURNAL OF HYDRAULIC RESEARCH, 1998, 36 (02) : 281 - 283
  • [39] A Parsimonious Rainfall-Runoff Model for Flood Forecasting: Incorporating Spatially Varied Rainfall and Soil Moisture
    Sapkota, Aashis
    Meier, Claudio, I
    WATERSHED MANAGEMENT 2020: A CLEAR VISION OF WATERSHED MANAGEMENT, 2020, : 183 - 196
  • [40] Fuzzy logic-based rainfall-runoff modelling using soil moisture measurements to represent system state
    Casper, Markus
    Gemmar, Peter
    Gronz, Oliver
    Johst, Margret
    Stueber, Manfred
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2007, 52 (03): : 478 - 490