Articles | Volume 11, issue 2
https://doi.org/10.5194/gi-11-389-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-11-389-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Nov 2022
Research article |
| 24 Nov 2022
| 24 Nov 2022
Upgrade of LSA-SAF Meteosat Second Generation daily surface albedo (MDAL) retrieval algorithm incorporating aerosol correction and other improvements
CNRM, Météo-France, CNRS, Université de Toulouse, Toulouse, France
CNRM, Météo-France, CNRS, Université de Toulouse, Toulouse, France
Isabel F. Trigo
Instituto Português do Mar e da Atmosfera (IPMA), Lisbon, Portugal
Sandra Gomes
Instituto Português do Mar e da Atmosfera (IPMA), Lisbon, Portugal
Sandra C. Freitas
Instituto Português do Mar e da Atmosfera (IPMA), Lisbon, Portugal
Deimos Engenharia, Lisbon, Portugal
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This work investigates the aerosol remote sensing capabilities offered by the new Meteosat Third Generation-Imager geostationary satellite. First, aerosol load retrieval performance is demonstrated based on realistic synthetic data. Second, the potential for aerosol type characterization is proven, with the estimation of fine mode fraction. This work opens pathways for the future study of diurnal aerosol variations from space thanks to the high temporal resolution of geostationary satellites.
Adèle Georgeot, Xavier Ceamanos, Jean-Luc Attié, Daniel Juncu, Josef Gasteiger, and Mathieu Compiègne
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This work investigates the aerosol remote sensing capabilities offered by the new Meteosat Third Generation-Imager geostationary satellite. First, aerosol load retrieval performance is demonstrated based on realistic synthetic data. Second, the potential for aerosol type characterization is proven, with the estimation of fine mode fraction. This work opens pathways for the future study of diurnal aerosol variations from space thanks to the high temporal resolution of geostationary satellites.
Dominik Rains, Isabel Trigo, Emanuel Dutra, Sofia Ermida, Darren Ghent, Petra Hulsman, Jose Gómez-Dans, and Diego G. Miralles
Earth Syst. Sci. Data, 16, 567–593, https://doi.org/10.5194/essd-16-567-2024, https://doi.org/10.5194/essd-16-567-2024, 2024
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Land surface temperature and surface net radiation are vital inputs for many land surface and hydrological models. However, current remote sensing datasets of these variables come mostly at coarse resolutions, and the few high-resolution datasets available have large gaps due to cloud cover. Here, we present a continuous daily product for both variables across Europe for 2018–2019 obtained by combining observations from geostationary as well as polar-orbiting satellites.
Xavier Ceamanos, Bruno Six, Suman Moparthy, Dominique Carrer, Adèle Georgeot, Josef Gasteiger, Jérôme Riedi, Jean-Luc Attié, Alexei Lyapustin, and Iosif Katsev
Atmos. Meas. Tech., 16, 2575–2599, https://doi.org/10.5194/amt-16-2575-2023, https://doi.org/10.5194/amt-16-2575-2023, 2023
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A new algorithm to retrieve the diurnal evolution of aerosol optical depth over land and ocean from geostationary meteorological satellites is proposed and successfully evaluated with reference ground-based and satellite data. The high-temporal-resolution aerosol observations that are obtained from the EUMETSAT Meteosat Second Generation mission are unprecedented and open the door to studies that cannot be conducted with the once-a-day observations available from low-Earth-orbit satellites.
Miguel Nogueira, Clément Albergel, Souhail Boussetta, Frederico Johannsen, Isabel F. Trigo, Sofia L. Ermida, João P. A. Martins, and Emanuel Dutra
Geosci. Model Dev., 13, 3975–3993, https://doi.org/10.5194/gmd-13-3975-2020, https://doi.org/10.5194/gmd-13-3975-2020, 2020
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We used earth observations to evaluate and improve the representation of land surface temperature (LST) and vegetation coverage over Iberia in CHTESSEL and SURFEX land surface models. We demonstrate the added value of updating the vegetation types and fractions together with the representation of vegetation coverage seasonality. Results show a large reduction in daily maximum LST systematic error during warm months, with neutral impacts in other seasons.
Miguel M. Pinto, Carlos C. DaCamara, Isabel F. Trigo, Ricardo M. Trigo, and K. Feridun Turkman
Nat. Hazards Earth Syst. Sci., 18, 515–529, https://doi.org/10.5194/nhess-18-515-2018, https://doi.org/10.5194/nhess-18-515-2018, 2018
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We present a procedure that allows the operational generation of daily forecasts of fire danger over Mediterranean Europe. The procedure combines historical information about radiative energy released by fire events with daily meteorological forecasts. Results obtained show that about 72 % of severe events releasing daily energy above 10 000 GJ belong to the
extremeclass of fire danger. The procedure is expected to assist in wildfire management and in decision making on prescribed burning.
Fátima Abrantes, Teresa Rodrigues, Marta Rufino, Emília Salgueiro, Dulce Oliveira, Sandra Gomes, Paulo Oliveira, Ana Costa, Mário Mil-Homens, Teresa Drago, and Filipa Naughton
Clim. Past, 13, 1901–1918, https://doi.org/10.5194/cp-13-1901-2017, https://doi.org/10.5194/cp-13-1901-2017, 2017
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Reconstructions of the last 2000-year climatic conditions along the Iberian Margin, a vulnerable region regarding current global warming, reveal a long-term cooling in sea surface temperature (SST) ending with the 19th century and centennial-scale variability that exposes warm SSTs throughout the first 1300 years followed by the colder Little Ice Age. The Industrial Era starts by 1800 CE, with an SST rise and a second increase in SST at ca. 1970 CE, particularly marked in the southern region.
Rene Orth, Emanuel Dutra, Isabel F. Trigo, and Gianpaolo Balsamo
Hydrol. Earth Syst. Sci., 21, 2483–2495, https://doi.org/10.5194/hess-21-2483-2017, https://doi.org/10.5194/hess-21-2483-2017, 2017
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State-of-the-art land surface models (LSMs) rely on poorly constrained parameters. To enhance LSM configuration, new satellite-based Earth observations are essential. This is because multiple observational datasets allow us to assess and validate the representation of coupled processes in LSMs. The resulting improved LSM configuration is beneficial for coupled weather forecasts, and hence valuable to society.
A. Lattanzio, F. Fell, R. Bennartz, I. F. Trigo, and J. Schulz
Atmos. Meas. Tech., 8, 4561–4571, https://doi.org/10.5194/amt-8-4561-2015, https://doi.org/10.5194/amt-8-4561-2015, 2015
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EUMETSAT has generated a surface albedo data set climate data record, spanning over more than 2 decades, from measurements acquired by Meteosat First Generation satellites. EUMETSAT coordinated a study for the validation of such a data record. In the validation report, the full set of results, including comparison with in situ measurements and satellites, was presented. A method of increasing the quality of the data set, removing cloud-contaminated pixels, is presented.
G. Masiello, C. Serio, S. Venafra, G. Liuzzi, F. Göttsche, I. F. Trigo, and P. Watts
Atmos. Meas. Tech., 8, 2981–2997, https://doi.org/10.5194/amt-8-2981-2015, https://doi.org/10.5194/amt-8-2981-2015, 2015
X. Ceamanos, D. Carrer, and J.-L. Roujean
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G. Masiello, C. Serio, I. De Feis, M. Amoroso, S. Venafra, I. F. Trigo, and P. Watts
Atmos. Meas. Tech., 6, 3613–3634, https://doi.org/10.5194/amt-6-3613-2013, https://doi.org/10.5194/amt-6-3613-2013, 2013
M. L. R. Liberato, J. G. Pinto, R. M. Trigo, P. Ludwig, P. Ordóñez, D. Yuen, and I. F. Trigo
Nat. Hazards Earth Syst. Sci., 13, 2239–2251, https://doi.org/10.5194/nhess-13-2239-2013, https://doi.org/10.5194/nhess-13-2239-2013, 2013
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Swarm Langmuir probes' data quality validation and future improvements
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Production of definitive data from Indonesian geomagnetic observatories
Auroral classification ergonomics and the implications for machine learning
Artifacts from manganese reduction in rock samples prepared by focused ion beam (FIB) slicing for X-ray microspectroscopy
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The operator difference in absolute geomagnetic measurements
One second vector and scalar magnetic measurements at the low-latitude Choutuppal (CPL) magnetic observatory
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Under German law, crack damage stress must not be reached at any time during the operation or post-closure phase of a nuclear waste repository. This legal requirement can only be fulfilled if the parameter can be measured precisely. We have thus developed a new measurement technique, which overcomes the limitations of the conventional method. In combination, old and new methods offer an easy procedure to detect crack damage stress in fully saturated rocks in a fast and robust manner.
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Filomena Catapano, Stephan Buchert, Enkelejda Qamili, Thomas Nilsson, Jerome Bouffard, Christian Siemes, Igino Coco, Raffaella D'Amicis, Lars Tøffner-Clausen, Lorenzo Trenchi, Poul Erik Holmdahl Olsen, and Anja Stromme
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Researchers are making increasing use of machine learning to improve accuracy, efficiency and consistency. During such a study of the aurora, it was noted that biases or distortions had crept into the data because of the conditions (or ergonomics) of the human trainers. As using machine-learning techniques in auroral research is relatively new, it is critical that such biases are brought to the attention of the academic and citizen science communities.
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To better understand the influence of sample geometry on laboratory measurements of permeability, the permeabilities of sandstone samples with different lengths and diameters were measured. Despite the large range in length, aspect ratio, and volume, the permeabilities of the samples are near identical. This is due to a homogeneous porosity structure and the small grain/pore size with respect to the minimum tested diameter and length. More tests are now needed to help develop such guidelines.
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This work presents the progressive steps which led to the successful setup of such measurements at the new magnetic observatory in Choutuppal (CPL) of CSIR-NGRI, Hyderabad, India. Iterative tuning of the setup led to the generation of good quality data from 2016 onward. The processes of commissioning this setup in low-latitude conditions, with the aim of producing 1 s definitive data, and the characteristics of the data from this new instrument are presented here.
Luděk Vecsey, Jaroslava Plomerová, Petr Jedlička, Helena Munzarová, Vladislav Babuška, and the AlpArray working group
Geosci. Instrum. Method. Data Syst., 6, 505–521, https://doi.org/10.5194/gi-6-505-2017, https://doi.org/10.5194/gi-6-505-2017, 2017
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Pierdavide Coïsson, Kader Telali, Benoit Heumez, Vincent Lesur, Xavier Lalanne, and Chang Jiang Xin
Geosci. Instrum. Method. Data Syst., 6, 311–317, https://doi.org/10.5194/gi-6-311-2017, https://doi.org/10.5194/gi-6-311-2017, 2017
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Data loggers of magnetic observatories use GPS receivers to provide accurate time stamping of recorded data. Typical sampling rate is 1 s. A failure of the GPS receiver can result in erroneous time stamps. The observatory of Lanzhou, China, accumulated a lag of 28 s over 1 year. Using magnetic data recorded at other locations in a radius of 3000 km it was possible to estimate the diurnal lag and correct the time tamps to produce reliable 1 min averages of magnetic data.
Shakirah M. Amran, Wan-Seop Kim, Heh Ree Cho, and Po Gyu Park
Geosci. Instrum. Method. Data Syst., 6, 231–238, https://doi.org/10.5194/gi-6-231-2017, https://doi.org/10.5194/gi-6-231-2017, 2017
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Anu Heikkilä, Jussi Kaurola, Kaisa Lakkala, Juha Matti Karhu, Esko Kyrö, Tapani Koskela, Ola Engelsen, Harry Slaper, and Gunther Seckmeyer
Geosci. Instrum. Method. Data Syst., 5, 333–345, https://doi.org/10.5194/gi-5-333-2016, https://doi.org/10.5194/gi-5-333-2016, 2016
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Solar spectral UV irradiance data measured by the Brewer #037 spectroradiometer in Sodankylä, Finland, in 1990–2014 were examined for their quality flags given by the quality assurance (QA) tools of the European UV DataBase (EUVDB). Statistical analysis on the flags was performed, and five cases were investigated in detail. The results can be used in further development of the quality control/QA tools and selection of cases of exceptional atmospheric conditions for process studies.
T. O'Donnell Meininger and J. S. Selker
Geosci. Instrum. Method. Data Syst., 4, 19–22, https://doi.org/10.5194/gi-4-19-2015, https://doi.org/10.5194/gi-4-19-2015, 2015
K. Willett, C. Williams, I. T. Jolliffe, R. Lund, L. V. Alexander, S. Brönnimann, L. A. Vincent, S. Easterbrook, V. K. C. Venema, D. Berry, R. E. Warren, G. Lopardo, R. Auchmann, E. Aguilar, M. J. Menne, C. Gallagher, Z. Hausfather, T. Thorarinsdottir, and P. W. Thorne
Geosci. Instrum. Method. Data Syst., 3, 187–200, https://doi.org/10.5194/gi-3-187-2014, https://doi.org/10.5194/gi-3-187-2014, 2014
O. Kemppinen, J. E. Tillman, W. Schmidt, and A.-M. Harri
Geosci. Instrum. Method. Data Syst., 2, 61–69, https://doi.org/10.5194/gi-2-61-2013, https://doi.org/10.5194/gi-2-61-2013, 2013
D. Mayer, A. Steiner, and R. Steinacker
Geosci. Instrum. Method. Data Syst., 1, 135–149, https://doi.org/10.5194/gi-1-135-2012, https://doi.org/10.5194/gi-1-135-2012, 2012
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Short summary
MDAL is a near real-time, satellite-based surface albedo product based on the geostationary Meteosat Second Generation mission. We propose an update to the processing algorithm that generates MDAL and evaluate the results of these changes through comparison with the pre-update, currently operational MDAL product as well as reference data using different satellite-based albedo products and in situ measurements. We find that the update provides a valuable improvement.
MDAL is a near real-time, satellite-based surface albedo product based on the geostationary...
