Use of GNSS Tropospheric Products for Climate Monitoring (Working Group 3)

Autor: Janusz Bogusz, Alberto Sá, S. Beirle, S. Nahmani, Zofia Baldysz, E. Pottiaux, Kyriakos Balidakis, D. Landskron, Rosa Pacione, José Antonio Guijarro, Marta Gruszczynska, R. Fernandes, M. Elias, Gunnar Elgered, B. Chimani, Olivier Bock, Tong Ning, C. Hackman, Grzegorz Nykiel, Katarzyna Stepniak, V. Mattioli, Wouter Dorigo, R. Van Malderen, E. Fionda, S. Zengin Kazancı, Robert Heinkelmann, Machiel Bos, Johannes Böhm, Andrzej Araszkiewicz, F. Ahmed, A. Ramos, Carla Barroso, H. Valentim, B. Mircheva, A. Xaver, M. Cadeddu, G. Stankunavicius, Jonathan Jones, Pedro Viterbo, J. P. Martins, Paul Rebischung, R. Nilsson, J. Berckmans, Mariusz Figurski, Harald Schuh, A. Parracho, Sophie Bastin, E. Brockmann, Anna Klos, Guergana Guerova, Jan Dousa, Pascal Willis
Přispěvatelé: Institut National de l'Information Géographique et Forestière [IGN] (IGN), Centro di Geodesia Spaziale [Matera], Agenzia Spaziale Italiana (ASI), Centre of Applied Geomatics [Warsaw], Military University of Technology, German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Instituto Português de Investigação do Mar e da Atmosfera (IPMA), SPACE - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Max-Planck-Institut für Chemie (MPIC), Max-Planck-Gesellschaft, Institut Royal Météorologique de Belgique [Bruxelles] (IRM), Department of Geodesy and Geoinformation [Wien], Vienna University of Technology (TU Wien), University of Beira Interior [Portugal] (UBI), Federal Office of Topography Swisstopo, Argonne National Laboratory [Lemont] (ANL), Institut für Meteorologie und Geophysik [Wien] (IMGW), Universität Wien, Geodetic Observatory Pecny (GOP), Research Institute of Geodesy, Cartography and Topography, Chalmers University of Technology [Göteborg], Fondazione Ugo Bordoni, Department of Meteorology and Geophysics [Sofia], Sofia University 'St. Kliment Ohridski', Agencia Estatal de Meteorología (AEMet), United States Naval Observatory (USNO), Met Office Hadley Centre for Climate Change (MOHC), United Kingdom Met Office [Exeter], Karadeniz Technical University (KTU), Centre of Excellence CETEMPS, Università degli Studi dell'Aquila (UNIVAQ), The Swedish Mapping, Cadastral and Land Registration Authority, Instituto Dom Luiz, Universidade de Lisboa (ULISBOA), Polytechnic Institute of Guarda (IPG), Vilnius University [Vilnius], Advanced Methods for Satellite Positioning Laboratory, University of Warmia and Mazury [Olsztyn], Jonathan Jones, Guergana Guerova, Jan Douša, Galina Dick, Siebren de Haan, Eric Pottiaux, Olivier Bock, Rosa Pacione, Roeland van Malderen (eds)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Advanced GNSS Tropospheric Products for Monitoring Severe Weather Events and Climate
Jonathan Jones, Guergana Guerova, Jan Douša, Galina Dick, Siebren de Haan, Eric Pottiaux, Olivier Bock, Rosa Pacione, Roeland van Malderen (eds). Advanced GNSS Tropospheric Products for Monitoring Severe Weather Events and Climate, Springer International Publishing, pp.267-402, 2020, 978-3-030-13900-1. ⟨10.1007/978-3-030-13901-8_5⟩
Advanced GNSS Tropospheric Products for Monitoring Severe Weather Events and Climate ISBN: 9783030139001
DOI: 10.1007/978-3-030-13901-8_5⟩
Popis: International audience; There has been growing interest in recent years in the use of homogeneously reprocessed ground-based GNSS, VLBI, and DORIS measurements for climate applications. Existing datasets are reviewed and the sensitivity of tropospheric estimates to the processing details is discussed. The uncertainty in the derived IWV estimates and linear trends is around 1 kg m−2 RMS and ± 0.3 kg m−2 per decade, respectively. Standardized methods for ZTD outlier detection and IWV conversion are proposed. The homogeneity of final time series is limited however by changes in the stations equipment and environment. Various homogenization algorithms have been evaluated based on a synthetic benchmark dataset. The uncertainty of trends estimated from the homogenized times series is estimated to ±0.5 kg m−2 per decade. Reprocessed GNSS IWV data are analysed along with satellites data, reanalyses and global and regional climate model simulations. A selection of global and regional reprocessed GNSS datasets and ERA-interim reanalysis are made available through the GOP-TropDB tropospheric database and online service. A new tropo SINEX format, providing new features and simplifications, was developed and it is going to be adopted by all the IAG services.
Databáze: OpenAIRE
Externí odkaz: