Use of GNSS Tropospheric Products for Climate Monitoring (Working Group 3)
Kapitel i bok, 2020

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.

Författare

O. Bock

IGN Institut Geographique National

R. Pacione

Centro Geodesia Spaziale G. Colombo

F. Ahmed

Université du Luxembourg

A. Araszkiewicz

Wojskowa Akademia Techniczna

Z. Bałdysz

Wojskowa Akademia Techniczna

K. Balidakis

Deutsches GeoForschungsZentrum (GFZ)

C. Barroso

Instituto Português do Mar e da Atmosfera (IPMA)

S. Bastin

Sorbonne Université

S. Beirle

Max-Planck-Institut für Chemie

J. Berckmans

Royal Meteorological Institute of Belgium

J. Böhm

Technische Universität Wien

J. Bogusz

Wojskowa Akademia Techniczna

Machiel Bos

Universidade da Beira Interior

E. Brockmann

Swiss Federal Office of Topography

M. Cadeddu

Argonne National Laboratory

B. Chimani

Central Institute for Meteorology and Geodynamics

J. Douša

RIGTC

Gunnar Elgered

Chalmers, Rymd-, geo- och miljövetenskap, Onsala rymdobservatorium, Rymdgeodesi och geodynamik

M. Eliaš

Research Institute of Geodesy, Topography and Cartography

R. Fernandes

Universidade da Beira Interior

M. Figurski

Wojskowa Akademia Techniczna

E. Fionda

Fondazione Ugo Bordoni

M. Gruszczynska

Wojskowa Akademia Techniczna

G. Guerova

Sofijski universitet

J. Guijarro

Meteorological State Agency of Spain (AEMET)

C. Hackman

US Naval Observatory

R. Heinkelmann

Deutsches GeoForschungsZentrum (GFZ)

J. Jones

Met Office

S. Zengin Kazancı

Karadeniz Technical University

A. Klos

Wojskowa Akademia Techniczna

D. Landskron

Technische Universität Wien

J.P. Martins

Instituto Português do Mar e da Atmosfera (IPMA)

V. Mattioli

Universita degli Studi dell'Aquila

B. Mircheva

Sofijski universitet

S. Nahmani

IGN Institut Geographique National

R.T. Nilsson

Deutsches GeoForschungsZentrum (GFZ)

Tong Ning

Lantmäteriet

G. Nykiel

Wojskowa Akademia Techniczna

A. Parracho

IGN Institut Geographique National

E. Pottiaux

Royal Observatory of Belgium

A. Ramos

Universidade de Lisboa

P. Rebischung

IGN Institut Geographique National

A. Sá

Polytechnic Institute of Guarda

W. Dorigo

Technische Universität Wien

H. Schuh

Deutsches GeoForschungsZentrum (GFZ)

G. Stankunavicius

Vilniaus universitetas

K. Stępniak

Uniwersytet Warminsko-Mazurski w Olsztynie

H. Valentim

Universidade da Beira Interior

Roeland Van Malderen

Royal Meteorological Institute of Belgium

P. Viterbo

Instituto Português do Mar e da Atmosfera (IPMA)

P. Willis

IGN Institut Geographique National

A. Xaver

Technische Universität Wien

Advanced GNSS Tropospheric Products for Monitoring Severe Weather Events and Climate

267-402

Ämneskategorier

Meteorologi och atmosfärforskning

Klimatforskning

Multidisciplinär geovetenskap

Fundament

Grundläggande vetenskaper

Infrastruktur

Onsala rymdobservatorium

DOI

10.1007/978-3-030-13901-8_5

Mer information

Senast uppdaterat

2020-09-10