Articles | Volume 17, issue 22
https://doi.org/10.5194/acp-17-13983-2017
https://doi.org/10.5194/acp-17-13983-2017
Research article
 | 
24 Nov 2017
Research article |  | 24 Nov 2017

Data assimilation of GNSS zenith total delays from a Nordic processing centre

Magnus Lindskog, Martin Ridal, Sigurdur Thorsteinsson, and Tong Ning

Related authors

Evaluating the use of Aeolus satellite observations in the regional numerical weather prediction (NWP) model Harmonie–Arome
Susanna Hagelin, Roohollah Azad, Magnus Lindskog, Harald Schyberg, and Heiner Körnich
Atmos. Meas. Tech., 14, 5925–5938, https://doi.org/10.5194/amt-14-5925-2021,https://doi.org/10.5194/amt-14-5925-2021, 2021
Short summary
Validation of Aeolus winds using ground-based radars in Antarctica and in northern Sweden
Evgenia Belova, Sheila Kirkwood, Peter Voelger, Sourav Chatterjee, Karathazhiyath Satheesan, Susanna Hagelin, Magnus Lindskog, and Heiner Körnich
Atmos. Meas. Tech., 14, 5415–5428, https://doi.org/10.5194/amt-14-5415-2021,https://doi.org/10.5194/amt-14-5415-2021, 2021
Short summary
Validation of wind measurements of two mesosphere–stratosphere–troposphere radars in northern Sweden and in Antarctica
Evgenia Belova, Peter Voelger, Sheila Kirkwood, Susanna Hagelin, Magnus Lindskog, Heiner Körnich, Sourav Chatterjee, and Karathazhiyath Satheesan
Atmos. Meas. Tech., 14, 2813–2825, https://doi.org/10.5194/amt-14-2813-2021,https://doi.org/10.5194/amt-14-2813-2021, 2021
Short summary
Short-range solar radiation forecasts over Sweden
Tomas Landelius, Magnus Lindskog, Heiner Körnich, and Sandra Andersson
Adv. Sci. Res., 15, 39–44, https://doi.org/10.5194/asr-15-39-2018,https://doi.org/10.5194/asr-15-39-2018, 2018
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Correction of ERA5 temperature and relative humidity biases by bivariate quantile mapping for contrail formation analysis
Kevin Wolf, Nicolas Bellouin, Olivier Boucher, Susanne Rohs, and Yun Li
Atmos. Chem. Phys., 25, 157–181, https://doi.org/10.5194/acp-25-157-2025,https://doi.org/10.5194/acp-25-157-2025, 2025
Short summary
Can pollen affect precipitation?
Marje Prank, Juha Tonttila, Xiaoxia Shang, Sami Romakkaniemi, and Tomi Raatikainen
Atmos. Chem. Phys., 25, 183–197, https://doi.org/10.5194/acp-25-183-2025,https://doi.org/10.5194/acp-25-183-2025, 2025
Short summary
Potential impacts of marine fuel regulations on an Arctic stratocumulus case and its radiative response
Luís Filipe Escusa dos Santos, Hannah C. Frostenberg, Alejandro Baró Pérez, Annica M. L. Ekman, Luisa Ickes, and Erik S. Thomson
Atmos. Chem. Phys., 25, 119–142, https://doi.org/10.5194/acp-25-119-2025,https://doi.org/10.5194/acp-25-119-2025, 2025
Short summary
The impact of the mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain
Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 14145–14175, https://doi.org/10.5194/acp-24-14145-2024,https://doi.org/10.5194/acp-24-14145-2024, 2024
Short summary
The role of ascent timescales for warm conveyor belt (WCB) moisture transport into the upper troposphere and lower stratosphere (UTLS)
Cornelis Schwenk and Annette Miltenberger
Atmos. Chem. Phys., 24, 14073–14099, https://doi.org/10.5194/acp-24-14073-2024,https://doi.org/10.5194/acp-24-14073-2024, 2024
Short summary

Cited articles

Bennitt, G. V. and Jupp, A.: Operational assimilation of GPS Zenith Total Delay Observations into the Met Office numerical weather prediction models, Mon. Weather Rev., 140, 2706–2719, 2012.
Benjamin, S. G., Jamison, B. D., Moninger, W. R., Sahm, S. R., Schwartz, B. E., and Schlatter, T. W.: Relative short-range forecast impact from aircraft, profiler, radiosonde, VAD, GPS-PW, METAR and mesonet observations via the RUC hourly assimilation cycle, Mon. Weather Rev., 138, 1319–1343, 2010.
Berre, L.: Estimation of synoptic and meso scale forecast error covariances in a limited area model, Mon. Weather Rev., 128, 644–667, 2000.
Bertiger, W., Desai, S., Haines, B., Harvey, N., Moore, A., Owen, S., and Weiss, J.: Single receiver phase ambiguity resolution with GPS data, 84, 327–337, https://doi.org/10.1007/s00190-010-0371-9, 2010.
Download
Short summary
Atmospheric moisture-related information obtained from Global Navigation Satellite System (GNSS) observations from ground-based receiver stations of the Nordic GNSS Analysis Centre (NGAA) has been used within a state-of-the-art kilometre-scale numerical weather prediction system. The sensitivity of results to aspects of the data processing, observation density, bias-correction and data assimilation has been investigated. Results show a benefit on forecast quality of using GNSS ZTD.
Altmetrics
Final-revised paper
Preprint