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Bruno Manuel Lucas

Bio: Bruno Manuel Lucas is an academic researcher from European Space Agency. The author has contributed to research in topics: Climate change & Altimeter. The author has an hindex of 5, co-authored 22 publications receiving 139 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors compare the performance of the Synthetic Aperture Radar (SAR) and Pseudo-LRM (PLRM) data with in situ and model data to derive precision and accuracy at 1 Hz in open ocean, at distances larger than 10 km from the coast.

63 citations

Journal ArticleDOI
TL;DR: In this article, a regional cross-calibration between the first Delay-Doppler altimetry dataset from CryoSat-2 and a retracked Envisat dataset is presented, in order to test the benefits of the delay-doppler processing and to expand the envisat time series in the coastal ocean.

42 citations

Journal ArticleDOI
TL;DR: This paper is the first refereed publication to bring together the analysis of SAR altimetry across all these different domains to highlight the benefits and existing challenges of the Sentinel-3 Mission Performance Centre.
Abstract: The Sentinel-3 Mission Performance Centre (S3MPC) is tasked by the European Space Agency (ESA) to monitor the health of the Copernicus Sentinel-3 satellites and ensure a high data quality to the users. This paper deals exclusively with the effort devoted to the altimeter and microwave radiometer, both components of the Surface Topography Mission (STM). The altimeters on Sentinel-3A and -3B are the first to operate in delay-Doppler or SAR mode over all Earth surfaces, which enables better spatial resolution of the signal in the along-track direction and improved noise reduction through multi-looking, whilst the radiometer is a two-channel nadir-viewing system. There are regular routine assessments of the instruments through investigation of telemetered housekeeping data, calibrations over selected sites and comparisons of geophysical retrievals with models, in situ data and other satellite systems. These are performed both to monitor the daily production, assessing the uncertainties and errors on the estimates, and also to characterize the long-term performance for climate science applications. This is critical because an undetected drift in performance could be misconstrued as a climate variation. As the data are used by the Copernicus Services (e.g., CMEMS, Global Land Monitoring Services) and by the research community over open ocean, coastal waters, sea ice, land ice, rivers and lakes, the validation activities encompass all these domains, with regular reports openly available. The S3MPC is also in charge of preparing improvements to the processing, and of the development and tuning of algorithms to improve their accuracy. This paper is thus the first refereed publication to bring together the analysis of SAR altimetry across all these different domains to highlight the benefits and existing challenges.

27 citations

Proceedings ArticleDOI
26 Jul 2015
TL;DR: This paper presents the algorithm proposed to retrieve from S-3 STM SAR return waveforms the standard ocean geophysical parameters (ocean topography, wave height and sigma nought) and the validation results that have been so far achieved exploiting the CryoSat-2 data as well as the simulated data.
Abstract: The SRAL Radar Altimeter, on board of the ESA Mission Sentinel-3 (S-3), has the capacity to operate either in the Pulse-Limited Mode (also known as LRM) or in the novel Synthetic Aperture Radar (SAR) mode. Thanks to the initial results from SAR Altimetry obtained exploiting CryoSat-2 data, lately the interest by the scientific community in this new technology has significantly increased and consequently the definition of accurate processing methodologies (along with validation strategies) has now assumed a capital importance. In this paper, we present the algorithm proposed to retrieve from S-3 STM SAR return waveforms the standard ocean geophysical parameters (ocean topography, wave height and sigma nought) and the validation results that have been so far achieved exploiting the CryoSat-2 data as well as the simulated data. The inversion method (retracking) to extract from the return waveform the geophysical information is a curve best-fitting scheme based on the bounded Levenberg-Marquardt Least-Squares Estimation Method (LEVMAR-LSE). The S-3 STM SAR Ocean retracking algorithm adopts, as return waveform's model, the “SAMOSA” model [Ray et al, 2014], named after the R&D project SAMOSA (led by Satoc and funded by ESA), in which it has been initially developed. The SAMOSA model is a physically-based model that offers a complete description of a SAR Altimeter return waveform from ocean surface, expressed in the form of maps of reflected power in Delay-Doppler space (also known as stack) or expressed as multilooked echoes. SAMOSA is able to account for an elliptical antenna pattern, mispointing errors in roll and yaw, surface scattering pattern, non-linear ocean wave statistics and spherical Earth surface effects. In spite of its truly comprehensive character, the SAMOSA model comes with a compact analytical formulation expressed in term of Modified Bessel functions. The specifications of the retracking algorithm have been gathered in a technical document (DPM) and delivered as baseline for industrial implementation. For operational needs, thanks to the fine tuning of the fitting library parameters and the usage of look-up table for Bessel functions computation, the CPU execution time was accelerated over 100 times and made the execution in par with real time. In the course of the ESA-funded project CryoSat+ for Ocean (CP4O), new technical evolutions for the algorithm have been proposed (as usage of PTR width look up table and application of a stack masking). One of the main outcomes of the CP4O project was that, with these latest evolutions, the SAMOSA SAR retracking was giving equivalent results to CNES CPP retracking prototype, which was built with a totally different approach, which enforces the validation results. Work actually is underway to align the industrial implementation with the last new evolutions. Further, in order to test the algorithm with a dataset as realistic as possible, a set of simulated Test Data Set (generated by S-3 STM End-to-End Simulator) has been created by CLS following the specifications as described in a test data set requirements document drafted by ESA. In this work, we will show the baseline algorithm details, the evolutions, the impact of the evolutions and the results obtained processing the CryoSat-2 data and the simulated test data set.

17 citations

01 Dec 2013
TL;DR: In this article, the authors focus on the new ways to use altimetry for the monitoring of river water levels from space, and introduce the potential new applications brought by SIRAL's SAR and SARin modes.
Abstract: Regarding hydrology applications and particularly the monitoring of river water levels from space, the CryoSat2 ice mission has two main valuable characteristics: (1) its geodetic orbit and (2) the altimeter’s SAR and SARin modes. The benefits of the geodetic orbit of the satellite have been illustrated in the frame of the ”20 years of progress in radar altimetry” symposium (Venice, 2012) [2]. It has been shown that, with such an orbit, the way river water level was monitored using conventional altimeters had to be revisited. In particular, using LRM mode only, CryoSat-2 allowed us to build spatio-temporal time series of the river water level, to map river’s topography and eventually derive pseudo-time series and pseudo-profiles of the river. This paper focuses on the new ways to use altimetry for the monitoring of river water levels. SIRAL’s (CryoSat-2 altimeter) SAR and SARin modes have the ability to deliver surface heights with an unprecedented along-track resolution of about 300 m. Moreover, using the SARin mode (involving the satellite’s two antennas), the crosstrack angle of the retracked echo is also available in routine. These two aspects of the SARin mode (high resolution and cross-track angle) make it a new tool to distinguish whether the retracked echo came from the surface of interest (e.g., a river) or any other reflective object nearby the surface of interest (e.g., another river section, lakes or temporary lake after flooding events or any other specular surfaces). We introduce the multiple benefits of using the intermediate multi-look matrix (also known as stack matrix), among them: (1) to refine and select among the multiple Doppler-beam waveforms before averaging and retracking them, and (2) to be able to study the surfaces response according to their view angle. Custom products processed at ESA (ESRIN) by Dinardo et al. [7], in the perspective of Sentinel-3, as well as official CryoSat-2 L1b and L2 products were used to illustrate these perspectives. The paper mainly introduces the potential new applications brought by SIRAL’s SAR and SARin modes. Finally, combined with its really dense geodetic orbit, CryoSat-2 can be seen as a topography mission that paves the way toward the SWOT mission.

6 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, a multi-reanalysis ensemble is used to estimate the signal-to-noise ratio (SNR) of the ocean state and to estimate uncertainty levels.
Abstract: Uncertainty in ocean analysis methods and deficiencies in the observing system are major obstacles for the reliable reconstruction of the past ocean climate. The variety of existing ocean reanalyses is exploited in a multi-reanalysis ensemble to improve the ocean state estimation and to gauge uncertainty levels. The ensemble-based analysis of signal-to-noise ratio allows the identification of ocean characteristics for which the estimation is robust (such as tropical mixed-layer-depth, upper ocean heat content), and where large uncertainty exists (deep ocean, Southern Ocean, sea ice thickness, salinity), providing guidance for future enhancement of the observing and data assimilation systems.

211 citations

Journal ArticleDOI
TL;DR: In this article, the authors used satellite altimetry data from ENVISAT and CryoSat-2 to monitor the lake water level and employed optical satellite imagery to determine the surface water extent of the lake repeatedly.

160 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present an ongoing effort supported by the European Space Agency (ESA) Climate Change Initiative Programme for improving the altimetry-based sea level products, which make use of ESA missions (ERS-1 and 2 and Envisat) in addition to the so-called reference missions like TOPEX/Poseidon and the Jason series in the computation of the sea level time series, and improve all processing steps in order to meet the Global Climate Observing System (GCOS) accuracy requirements defined for a set of 50 Essential Climate Variables, sea level
Abstract: Since the beginning of the 1990s, sea level is routinely measured using high-precision satellite altimetry. Over the past \(\sim \)25 years, several groups worldwide involved in processing the satellite altimetry data regularly provide updates of sea level time series at global and regional scales. Here we present an ongoing effort supported by the European Space Agency (ESA) Climate Change Initiative Programme for improving the altimetry-based sea level products. Two main objectives characterize this enterprise: (1) to make use of ESA missions (ERS-1 and 2 and Envisat) in addition to the so-called ‘reference’ missions like TOPEX/Poseidon and the Jason series in the computation of the sea level time series, and (2) to improve all processing steps in order to meet the Global Climate Observing System (GCOS) accuracy requirements defined for a set of 50 Essential Climate Variables, sea level being one of them. We show that improved geophysical corrections, dedicated processing algorithms, reduction of instrumental bias and drifts, and careful linkage between missions led to improved sea level products. Regarding the long-term trend, the new global mean sea level record accuracy now approaches the GCOS requirements (of \(\sim \)0.3 mm/year). Regional trend uncertainty has been reduced by a factor of \(\sim \)2, but orbital and wet tropospheric corrections errors still prevent fully reaching the GCOS accuracy requirement. Similarly at the interannual time scale, the global mean sea level still displays 2–4 mm errors that are not yet fully understood. The recent launch of new altimetry missions (Sentinel-3, Jason-3) and the inclusion of data from currently flying missions (e.g., CryoSat, SARAL/AltiKa) may provide further improvements to this important climate record.

131 citations

Journal ArticleDOI
TL;DR: The issue of sustained measurements of sea level in the coastal zone is examined, first by summarizing the long-term observations from tide gauges, then by showing how those are now complemented by improved satellite altimetry products in the Coastal ocean.
Abstract: We examine the issue of sustained measurements of sea level in the coastal zone, first by summarizing the long-term observations from tide gauges, then showing how those are now complemented by improved satellite altimetry products in the coastal ocean. We present some of the progresses in coastal altimetry, both from dedicated reprocessing of the radar waveforms and from the development of improved corrections for the atmospheric effects. This trend towards better altimetric data at the coast comes also from technological innovations such as Ka-band altimetry and SAR altimetry, and we discuss the advantages deriving from the AltiKa Ka-band altimeter and the SIRAL altimeter on CryoSat-2 that can be operated in SAR mode. A case study along the UK coast demonstrates the good agreement between coastal altimetry and tide gauge observations, with root mean square differences as low as 4 cm at many stations, allowing the characterization of the annual cycle of sea level along the UK coasts. Finally, we examine the evolution of the sea level trend from the open to the coastal ocean along the western coast of Africa, comparing standard and coastally improved products. Different products give different sea level trend profiles, so the recommendation is that additional efforts are needed to study sea level trends in the coastal zone from past and present satellite altimeters. Further improvements are expected from more refined processing and screening of data, but in particular from the constant improvements in the geophysical corrections.

126 citations

Journal ArticleDOI
TL;DR: In this article, a review of recent scientific efforts on the integration of low-cost space-borne remote sensing data with flood modelling is presented, and the potential and limitations of those data in flood modelling are discussed.
Abstract: During the last two decades, remote sensing data have led to tremendous progress in advancing flood inundation modelling. In particular, low-cost space-borne data can be invaluable for large-scale flood studies in data-scarce areas. Various satellite products yield valuable information such as land surface elevation, flood extent and water level, which could potentially contribute to various flood studies. An increasing number of research studies have been dedicated to exploring those low-cost data towards building, calibration and evaluation, and remote-sensed information assimilation into hydraulic models. This paper aims at reviewing these recent scientific efforts on the integration of low-cost space-borne remote sensing data with flood modelling. Potentials and limitations of those data in flood modelling are discussed. This paper also introduces the future satellite missions and anticipates their likely impacts in flood modelling. Copyright © 2015 John Wiley & Sons, Ltd.

118 citations