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First 948 results for ” M Esselborn”

1. KEM-31: Methods for the assessment of low-frequency noise from mining activities in the Netherlands

   According to the World Health Organisation (WHO), noise ranks among the environmental stressors w...

   JD Assink, E de Graaff, E Nieuwenhuizen, K White, R Nusselder, OFC den Ouden | Year: 2022 | Pages: 100

   Publication

2. CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023

   This paper presents the third edition of The Satellite Application Facility on Climate Monitoring...

   Karl-Göran Karlsson, Martin Stengel, Jan Fokke Meirink, Aku Riihelä, Jörg Trentmann, Tom Akkermans, Diana Stein, Abhay Devasthale, Salomon Eliasson, Erik Johansson, Nina Håkansson, Irina Solodovnik, Nikos Benas, Nicolas Clerbaux, Nathalie Selbach, Marc Schröder, and Rainer Hollmann | Journal: Earth System Science Data | Volume: 15 | Year: 2023 | First page: 4901 | Last page: 4926 | doi: 10.5194/essd-15-4901-2023

   Publication

3. Using a parameterisation of a radiative transfer model to build high-resolution maps of typical clear-sky UV index in Catalonia, Spain

   To perform a climatic analysis of the annual UV index (UVI) variations in Catalonia, Spain (north...

   J Badosa, JA Gonzalez, J Calbo, M van Weele, R Mckenzie | Status: published | Journal: J. Appl. Meteorol. | Volume: 44 | Year: 2005 | First page: 789 | Last page: 803

   Publication

4. GOME-2A retrievals of tropospheric NO2 in different spectral ranges – influence of penetration depth

   In this study, we present a novel nitrogen dioxide (NO2) differential optical absorption spectros...

   LK Behrens, A Hilboll, A Richter, E Peters, H Eskes, JP Burrows | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 2769 | Last page: 2795 | doi: https://doi.org/10.5194/amt-11-2769-2018

   Publication

5. NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities

   NRLMSIS® 2.0 is an empirical atmospheric model that extends from the ground to the exobase and de...

   JT Emmert, E Doornbos | Status: published | Journal: J. Geophys. Res. | Year: 2020 | doi: 10.1029/2020EA001321

   Publication