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Your search keyword '"Lutz, Ronny"' showing total 2 results
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2 results on '"Lutz, Ronny"'

1. Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 products of atmospheric trace gas columns

Author

Environment Research and Technology Development Fund, Japan Society for the Promotion of Science, Ministry of Education, Culture, Sports, Science and Technology (Japan), #NODATA#, Heue, Klaus Peter [0000-0001-8823-7712], Hedelt, Pascal [0000-0002-1752-0040], Loyola, Diego [0000-0002-8547-9350], Pinardi, Gaia [0000-0001-5428-916X], Kumar, Vinod [0000-0002-8405-3470], Bais, Alkis [0000-0003-3899-2001], Takashima, Hisahiro [0000-0001-5267-0792], Frieß, Udo [0000-0001-7176-7936], Richter, Andreas [0000-0003-3339-212X], Ma, Jianzhong [0000-0002-9510-5432], Holla, Robert [0000-0002-6445-9510], Postylyakov, Oleg [0000-0003-4202-1945], Rivera Cárdenas, Claudia [0000-0002-8617-265X], Wenig, Mark [0000-0002-9255-083X], Chan, Ka Lok, Valks, Pieter, Heue, Klaus Peter, Lutz, Ronny, Hedelt, Pascal, Loyola, Diego, Pinardi, Gaia, Van Roozendael, Michel, Hendrick, François, Wagner, Thomas, Kumar, Vinod, Bais, Alkis, Piters, Ankie, Irie, Hitoshi, Takashima, Hisahiro, Kanaya, Yugo, Choi, Yongjoo, Park, Kihong, Chong, Jihyo, Cede, Alexander, Frieß, Udo, Richter, Andreas, Ma, Jianzhong, Benavent, Nuria, Holla, Robert, Postylyakov, Oleg, Rivera Cárdenas, Claudia, Wenig, Mark, Environment Research and Technology Development Fund, Japan Society for the Promotion of Science, Ministry of Education, Culture, Sports, Science and Technology (Japan), #NODATA#, Heue, Klaus Peter [0000-0001-8823-7712], Hedelt, Pascal [0000-0002-1752-0040], Loyola, Diego [0000-0002-8547-9350], Pinardi, Gaia [0000-0001-5428-916X], Kumar, Vinod [0000-0002-8405-3470], Bais, Alkis [0000-0003-3899-2001], Takashima, Hisahiro [0000-0001-5267-0792], Frieß, Udo [0000-0001-7176-7936], Richter, Andreas [0000-0003-3339-212X], Ma, Jianzhong [0000-0002-9510-5432], Holla, Robert [0000-0002-6445-9510], Postylyakov, Oleg [0000-0003-4202-1945], Rivera Cárdenas, Claudia [0000-0002-8617-265X], Wenig, Mark [0000-0002-9255-083X], Chan, Ka Lok, Valks, Pieter, Heue, Klaus Peter, Lutz, Ronny, Hedelt, Pascal, Loyola, Diego, Pinardi, Gaia, Van Roozendael, Michel, Hendrick, François, Wagner, Thomas, Kumar, Vinod, Bais, Alkis, Piters, Ankie, Irie, Hitoshi, Takashima, Hisahiro, Kanaya, Yugo, Choi, Yongjoo, Park, Kihong, Chong, Jihyo, Cede, Alexander, Frieß, Udo, Richter, Andreas, Ma, Jianzhong, Benavent, Nuria, Holla, Robert, Postylyakov, Oleg, Rivera Cárdenas, Claudia, and Wenig, Mark

Abstract

We introduce the new Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 product of total column ozone (O3), total and tropospheric column nitrogen dioxide (NO2), total column water vapour, total column bromine oxide (BrO), total column formaldehyde (HCHO), and total column sulfur dioxide (SO2) (daily products 10.15770/EUM-SAF-AC-0048, ; monthly products 10.15770/EUM-SAF-AC-0049, ). The GOME-2 level-3 products aim to provide easily translatable and user-friendly data sets to the scientific community for scientific progress as well as to satisfy public interest. The purpose of this paper is to present the theoretical basis as well as the verification and validation of the GOME-2 daily and monthly level-3 products. The GOME-2 level-3 products are produced using the overlapping area-weighting method. Details of the gridding algorithm are presented. The spatial resolution of the GOME-2 level-3 products is selected based on the sensitivity study. The consistency of the resulting level-3 products among three GOME-2 sensors is investigated through time series of global averages, zonal averages, and bias. The accuracy of the products is validated by comparison to ground-based observations. The verification and validation results show that the GOME-2 level-3 products are consistent with the level-2 data. Small discrepancies are found among three GOME-2 sensors, which are mainly caused by the differences in the instrument characteristic and level-2 processor. The comparison of GOME-2 level-3 products to ground-based observations in general shows very good agreement, indicating that the products are consistent and fulfil the requirements to serve the scientific community and general public.

Published
2023

2. Validation of the Sentinel-5 Precursor TROPOMI cloud data with Cloudnet, Aura OMI O2-O2, MODIS, and Suomi-NPP VIIRS

Author

Compernolle, Steven, Argyrouli, Athina, Lutz, Ronny, Sneep, Maarten, Lambert, Jean-Christopher, Fjæraa, Ann Mari, Hubert, Daan, Keppens, Arno, Loyola, Diego, O'Connor, Ewan, Romahn, Fabian, Stammes, Piet, Verhoelst, Tijl, and Wang, Ping

Subjects
Remote Sensing, Clouds, Validation, TROPOMI, Atmosphärenprozessoren
Abstract

Accurate knowledge of cloud properties is essential to the measurement of atmospheric composition from space. In this work we assess the quality of the cloud data from three Copernicus Sentinel-5 Precursor (S5P) TROPOMI cloud products: (i) S5P OCRA/ROCINN_CAL (Optical Cloud Recognition Algorithm/Retrieval of Cloud Information using Neural Networks;Clouds-As-Layers), (ii) S5P OCRA/ROCINN_CRB (Clouds-as-Reflecting Boundaries), and (iii) S5P FRESCO-S (Fast Retrieval Scheme for Clouds from Oxygen absorption bands – Sentinel). Target properties of this work are cloud-top height and cloud optical thickness (OCRA/ROCINN_CAL), cloud height (OCRA/ROCINN_CRB and FRESCO-S), and radiometric cloud fraction (all three algorithms). The analysis combines (i) the examination of cloud maps for artificial geographical patterns, (ii) the comparison to other satellite cloud data (MODIS, NPP-VIIRS, and OMI O2–O2), and (iii) ground-based validation with respect to correlative observations (30 April 2018 to 27 February 2020) from the Cloudnet network of ceilometers, lidars, and radars. Zonal mean latitudinal variation of S5P cloud properties is similar to that of other satellite data. S5P OCRA/ROCINN_CAL agrees well with NPP VIIRS cloud-top height and cloud optical thickness and with Cloudnet cloud-top height, especially for the low (mostly liquid) clouds. For the high clouds, S5P OCRA/ROCINN_CAL cloud-top height is below the cloud-top height of VIIRS and of Cloudnet, while its cloud optical thickness is higher than that of VIIRS. S5P OCRA/ROCINN_CRB and S5P FRESCO cloud height are well below the Cloudnet cloud mean height for the low clouds but match on average better with the Cloudnet cloud mean height for the higher clouds. As opposed to S5P OCRA/ROCINN_CRB and S5P FRESCO, S5P OCRA/ROCINN_CAL is well able to match the lowest CTH mode of the Cloudnet observations. Peculiar geographical patterns are identified in the cloud products and will be mitigated in future releases of the cloud data products.

Published
2021

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