EGU2020-20989
https://doi.org/10.5194/egusphere-egu2020-20989
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Long-term ZTD and ZWD series and climate normals using NCEP1

Marcelo C. Santos1, Marlon Moura2, Thalia Nikolaidou1, and Kyriakos Balidakis3
Marcelo C. Santos et al.
  • 1University of New Brunswick, Fredericton, Canada (msantos@unb.ca)
  • 2Instituto Militar de Engeinharia, Rio de Janeiro, Brazil
  • 3GFZ German Research Centre for Geosciences, Potsdam, Germany

The World Meteorological Organization (WMO) recommends the use of climate normals for dealing with the analysis of variations and trends of the meteorological parameters or be used as input to predictive climate models. The suggested period is 30 years, but shorter periods can also be employed. We computed zenith total delay (ZTD) and zenith wet delay (ZWD) series for each node of NCEP1 numerical weather model, starting in 1948. We computed climate normals of those two parameters using periods of 1, 5, 10, 15, 20 and 30 years, with and without the annual signature. To assess window size impact, we looked at variations and correlation of trends derived from the various solutions. Results shows the obvious better smoothing using larger windows and the decrease of the impact of annual signature. Regions with positive trends appear to be concentrated in continental masses and the equator line, and the most significant negative trends are in the oceans. ZTD increase is caused primarily by an increase in ZWD and is an indication of variations in ZWD variables. In the case of water vapor, such an increase in ZWD shows us a probable increase in the amount of water vapor in the atmosphere. Comparisons with trends computed from GNSS-derived ZTD and ZWD series are included with the caveat that time period for such comparisons must be shorter.

How to cite: C. Santos, M., Moura, M., Nikolaidou, T., and Balidakis, K.: Long-term ZTD and ZWD series and climate normals using NCEP1, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20989, https://doi.org/10.5194/egusphere-egu2020-20989, 2020

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