On the use of AMSU-based products for the description of soil water content at basin scale

Manfreda, Salvatore; Lacava, Teodosio; Onorati, Beniamino; Pergola, Nicola; Leo, Margherita Di; Margiotta, Maria Rosaria; Tramutoli, Valerio

doi:10.5194/hess-15-2839-2011

Cited by 16 publications

(10 citation statements)

References 45 publications

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“…Soil Moisture (SM) is a key variable in several research activity sectors, like weather and climate predictions, water resources and crop management, as well as hazard analysis [1]. Such research activities should have benefits from a better understanding of the complex dynamics of SM in both space and time domains.…”

Section: Introductionmentioning

confidence: 99%

A multi-sensor (SMOS, AMSR-E and ASCAT) satellite-based soil moisture products inter-comparison

Lacava

Brocca

Faruolo

et al. 2012

2012 IEEE International Geoscience and Remote Sensing Symposium

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Soil Moisture (SM), being one of the main variables within the system that controls the hydrological interactions among soil, vegetation and atmosphere, plays a key role in the water cycle. Satellite systems, both active and passive, have already demonstrated their capability to provide reliable SM measurements. The European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) mission, launched in November 2009, was the first specific SM satellite mission. In this work we assessed the capability of SMOS data to accurately capture SM dynamics over a long time period by comparing them with in situ observations. To better assess the performance of such results, they were also compared with those obtained with alternative satellite-based SM products, considering in particular those generated by Advanced Microwave Sounding Radiometer (AMSR-E) and Advanced SCATterometer (ASCAT) data.

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Section: Introductionmentioning

confidence: 99%

A multi-sensor (SMOS, AMSR-E and ASCAT) satellite-based soil moisture products inter-comparison

Lacava

Brocca

Faruolo

et al. 2012

2012 IEEE International Geoscience and Remote Sensing Symposium

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“…The importance of the model calibration to study area conditions was presented by Su et al (2000) and Cho et al (2013). Model sensitivity is another important topic, and, e.g., Kalinga and Gan (2006) investigated model sensitivity on gauged and radar rainfall data and Manfreda et al (2011) determined the model sensitivity to various datasets.…”

Section: Subject Matter Of Published Researchmentioning

confidence: 99%

Retrospective analysis of published hydrological researches: models, trends and geographical aspects over the last two decades of hydrological modelling

Honek¹,

Caletka²,

Michalková³

2018

geogrcas

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Retrospective analysis of published hydrological researches: models, trends and geographical aspects over the last two decades of hydrological modelling The expanding knowledge of natural processes, increasing computing capacity and demands related to the current environmental changes has resulted in more complex and a greater number of hydrological models. The amount of papers or studies has been rising sharply, especially over the last two decades. To understand the evolution, we statistically analysed papers involving the field of hydrological modelling. We explored the records of the SCOPUS web database for the time period of 1998-2017. Nearly 760 publications were identified. First, we compared the number of the papers to determine trends of their production. In the analysis, we focused on the classification of pre-defined factorsauthorship, geographic origin, and the spatial and temporal scales of every model. We also conducted cluster analysis to highlight possible links between the individual models and the above-mentioned factors. The analysis of the data shows significant changes in the methodology applied iFn hydrological research as a result of the growing data availability, new sources of information and the importance of global research endeavours. Our findings highlight the increasing quantity and internationalization in the field.

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“…1). Specifically, two catchments in central Italy (Niccone, 137 km² and Assino, 165 km² [2]), one in South Italy (Fiumarella, 33 km² [8]), Luxembourg (Bibeschbach, 12 km² [4]), France (Valescure, 3.7 km² [9]), and US (Lucky Hills, 0.001 km² [10]) are analyzed. For sake of brevity, the reader is referred to the cited references for more details about the characteristics of the catchments and of the available hydrometeorological data.…”

Section: Study Catchmentsmentioning

confidence: 99%

Assimilation of satellite soil moisture data into rainfall-runoff modelling for several catchments worldwide

Brocca¹,

Moramarco²,

Dorigo³

et al. 2013

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS

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The assimilation of satellite soil moisture data into rainfallrunoff 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.

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On the use of AMSU-based products for the description of soil water content at basin scale

Cited by 16 publications

References 45 publications

A multi-sensor (SMOS, AMSR-E and ASCAT) satellite-based soil moisture products inter-comparison

A multi-sensor (SMOS, AMSR-E and ASCAT) satellite-based soil moisture products inter-comparison

Retrospective analysis of published hydrological researches: models, trends and geographical aspects over the last two decades of hydrological modelling

Assimilation of satellite soil moisture data into rainfall-runoff modelling for several catchments worldwide

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