Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3117-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-3117-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Estimating trends in atmospheric water vapor and temperature time series over Germany
Fadwa Alshawaf
CORRESPONDING AUTHOR
German Research Centre for Geosciences GFZ, Telegrafenberg, 14473 Potsdam, Germany
Kyriakos Balidakis
Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Galina Dick
German Research Centre for Geosciences GFZ, Telegrafenberg, 14473 Potsdam, Germany
Stefan Heise
German Research Centre for Geosciences GFZ, Telegrafenberg, 14473 Potsdam, Germany
Jens Wickert
German Research Centre for Geosciences GFZ, Telegrafenberg, 14473 Potsdam, Germany
Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Viewed
Total article views: 3,672 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Mar 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,071 | 1,390 | 211 | 3,672 | 122 | 146 |
- HTML: 2,071
- PDF: 1,390
- XML: 211
- Total: 3,672
- BibTeX: 122
- EndNote: 146
Total article views: 2,883 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Aug 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,659 | 1,044 | 180 | 2,883 | 99 | 111 |
- HTML: 1,659
- PDF: 1,044
- XML: 180
- Total: 2,883
- BibTeX: 99
- EndNote: 111
Total article views: 789 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Mar 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
412 | 346 | 31 | 789 | 23 | 35 |
- HTML: 412
- PDF: 346
- XML: 31
- Total: 789
- BibTeX: 23
- EndNote: 35
Viewed (geographical distribution)
Total article views: 3,672 (including HTML, PDF, and XML)
Thereof 3,540 with geography defined
and 132 with unknown origin.
Total article views: 2,883 (including HTML, PDF, and XML)
Thereof 2,760 with geography defined
and 123 with unknown origin.
Total article views: 789 (including HTML, PDF, and XML)
Thereof 780 with geography defined
and 9 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
44 citations as recorded by crossref.
- Estimating Integrated Water Vapor Trends From VLBI, GPS, and Numerical Weather Models: Sensitivity to Tropospheric Parameterization K. Balidakis et al. 10.1029/2017JD028049
- An assessment of method for changepoint detection applied in tropospheric parameter time series given from numerical weather model. M. Elias 10.13168/AGG.2020.0007
- Evaluation of surface temperature and pressure derived from MERRA-2 and ERA5 reanalysis datasets and their applications in hourly GNSS precipitable water vapor retrieval over China L. Huang et al. 10.1016/j.geog.2022.08.006
- Trends of atmospheric water vapour in Switzerland from ground-based radiometry, FTIR and GNSS data L. Bernet et al. 10.5194/acp-20-11223-2020
- Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics J. Vaquero-Martínez & M. Antón 10.3390/rs13122287
- High-resolution models of tropospheric delays and refractivity based on GNSS and numerical weather prediction data for alpine regions in Switzerland K. Wilgan & A. Geiger 10.1007/s00190-018-1203-6
- A functional modelling approach for reconstructing 3 and 4 dimensional wet refractivity fields in the lower atmosphere using GNSS measurements E. Forootan et al. 10.1016/j.asr.2021.08.012
- Prediction of daily leaf wetness duration using multi-step machine learning K. Alsafadi et al. 10.1016/j.compag.2024.109131
- The Zenith Total Delay Combination of International GNSS Service Repro3 and the Analysis of Its Precision Q. Huang et al. 10.3390/rs16203885
- Studies of precipitable water vapour characteristics on a global scale Q. Zhao et al. 10.1080/01431161.2018.1492177
- FY-3A/MERSI precipitable water vapor reconstruction and calibration using multi-source observation data based on a generalized regression neural network X. Ma et al. 10.1016/j.atmosres.2021.105893
- Spatial and temporal changes of precipitable water vapour in Thailand S. Buntoung et al. 10.1080/02723646.2019.1710433
- Analyzing correlations between GNSS retrieved precipitable water vapor and land surface temperature after earthquakes occurrence A. Guo et al. 10.1016/j.scitotenv.2023.162225
- Observation of an Extremely Dry Atmospheric Air Column above Bern K. Hocke & W. Wang 10.3390/cli11030063
- Homogenization of daily precipitable water vapor time series derived from GNSS observations over China D. Zhu et al. 10.1016/j.asr.2023.04.052
- Estimation of PM2.5 concentrations with high spatiotemporal resolution in Beijing using the ERA5 dataset and machine learning models Z. Wang et al. 10.1016/j.asr.2022.12.016
- A Drought Monitoring Method Based on Precipitable Water Vapor and Precipitation Q. Zhao et al. 10.1175/JCLI-D-19-0971.1
- Analysis of temporal and spatial variations of total precipitable water vapor in western Iran using radiosonde and MODIS measurements M. Merrikhpour & M. Rahimzadegan 10.1117/1.JRS.13.044508
- A Novel ENSO Monitoring Method using Precipitable Water Vapor and Temperature in Southeast China Q. Zhao et al. 10.3390/rs12040649
- Variability and climatology of precipitable water vapor from 12-year GPS observations in Taiwan S. Pang et al. 10.1016/j.asr.2021.01.021
- Global total precipitable water variations and trends over the period 1958–2021 N. Wan et al. 10.5194/hess-28-2123-2024
- Improving the accuracy of real-time precipitable water vapour using country-wide meteorological model with precise point positioning in Thailand C. Charoenphon & C. Satirapod 10.1080/14498596.2020.1758969
- Analysing Correlations between Gnss Retrieved Pwv and Land Surface Temperature after Earthquakes Occurrence A. Guo et al. 10.2139/ssrn.4165350
- Variability and Trend in Integrated Water Vapour from ERA-Interim and IGRA2 Observations over Peninsular Malaysia E. Makama & H. Lim 10.3390/atmos11091012
- A new hybrid observation GNSS tomography method combining the real and virtual inverted signals W. Zhang et al. 10.1007/s00190-021-01576-8
- Improving the accuracy and spatial resolution of precipitable water vapor dataset using a neural network-based downscaling method X. Ma et al. 10.1016/j.atmosenv.2021.118850
- Assessing the Performance of Water Vapor Products from ERA5 and MERRA-2 during Heavy Rainfall in the Guangxi Region of China N. Huang et al. 10.3390/atmos15030306
- Performance of ERA5 data in retrieving Precipitable Water Vapour over East African tropical region R. Ssenyunzi et al. 10.1016/j.asr.2020.02.003
- Long-term changes in precipitable water vapour over India derived from satellite and reanalysis data for the past four decades (1980–2020) S. Sarkar et al. 10.1039/D2EA00139J
- Comparison of tropospheric parameters from Meteodrone measurements with GNSS estimates from ground-based stations K. Wilgan et al. 10.1016/j.asr.2020.04.019
- Performance of ERA5 data in retrieving precipitable water vapor over Hong Kong Z. Wang et al. 10.1016/j.asr.2022.12.059
- Constructing a precipitable water vapor map from regional GNSS network observations without collocated meteorological data for weather forecasting B. Chen et al. 10.5194/amt-11-5153-2018
- On the Statistical Significance of Climatic Trends Estimated From GPS Tropospheric Time Series F. Alshawaf et al. 10.1029/2018JD028703
- Improving the Wet Refractivity Estimation Using the Extremely Learning Machine (ELM) Technique E. Forootan et al. 10.3390/atmos14010112
- The Novel Copernicus Global Dataset of Atmospheric Total Water Vapour Content with Related Uncertainties from GNSS Observations K. Rannat et al. 10.3390/rs15215150
- Towards a zero-difference approach for homogenizing GNSS tropospheric products M. Hoseini et al. 10.1007/s10291-019-0915-2
- Evaluating the Accuracy of Satellite-Based Microwave Radiometer PWV Products Using Shipborne GNSS Observations Across the Pacific Ocean Y. Gong et al. 10.1109/TGRS.2021.3129001
- Estimation of integrated water vapor derived from Global Navigation Satellite System observations over Central-Western Argentina (2015–2018). Validation and usefulness for the understanding of regional precipitation events M. Camisay et al. 10.1016/j.jastp.2019.105143
- An improved GNSS tropospheric tomographic model with an extended region and combining virtual signals S. Liu et al. 10.1016/j.atmosres.2023.106703
- A New Adaptive Absolute Method for Homogenizing GNSS‐Derived Precipitable Water Vapor Time Series D. Zhu et al. 10.1029/2021EA001716
- Tropospheric Delay in the Neapolitan and Vesuvius Areas (Italy) by Means of a Dense GPS Array: A Contribution for Weather Forecasting and Climate Monitoring U. Riccardi et al. 10.3390/atmos12091225
- Retrieval of high spatial resolution precipitable water vapor maps using heterogeneous earth observation data X. Ma et al. 10.1016/j.rse.2022.113100
- A new approach to improve precipitable water vapour estimations of Sentinel-3A satellite data using LST, elevation and NDVI over Iran H. Dadashi & M. Rahimzadegan 10.1080/02626667.2023.2251468
- EPN-Repro2: A reference GNSS tropospheric data set over Europe R. Pacione et al. 10.5194/amt-10-1689-2017
43 citations as recorded by crossref.
- Estimating Integrated Water Vapor Trends From VLBI, GPS, and Numerical Weather Models: Sensitivity to Tropospheric Parameterization K. Balidakis et al. 10.1029/2017JD028049
- An assessment of method for changepoint detection applied in tropospheric parameter time series given from numerical weather model. M. Elias 10.13168/AGG.2020.0007
- Evaluation of surface temperature and pressure derived from MERRA-2 and ERA5 reanalysis datasets and their applications in hourly GNSS precipitable water vapor retrieval over China L. Huang et al. 10.1016/j.geog.2022.08.006
- Trends of atmospheric water vapour in Switzerland from ground-based radiometry, FTIR and GNSS data L. Bernet et al. 10.5194/acp-20-11223-2020
- Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics J. Vaquero-Martínez & M. Antón 10.3390/rs13122287
- High-resolution models of tropospheric delays and refractivity based on GNSS and numerical weather prediction data for alpine regions in Switzerland K. Wilgan & A. Geiger 10.1007/s00190-018-1203-6
- A functional modelling approach for reconstructing 3 and 4 dimensional wet refractivity fields in the lower atmosphere using GNSS measurements E. Forootan et al. 10.1016/j.asr.2021.08.012
- Prediction of daily leaf wetness duration using multi-step machine learning K. Alsafadi et al. 10.1016/j.compag.2024.109131
- The Zenith Total Delay Combination of International GNSS Service Repro3 and the Analysis of Its Precision Q. Huang et al. 10.3390/rs16203885
- Studies of precipitable water vapour characteristics on a global scale Q. Zhao et al. 10.1080/01431161.2018.1492177
- FY-3A/MERSI precipitable water vapor reconstruction and calibration using multi-source observation data based on a generalized regression neural network X. Ma et al. 10.1016/j.atmosres.2021.105893
- Spatial and temporal changes of precipitable water vapour in Thailand S. Buntoung et al. 10.1080/02723646.2019.1710433
- Analyzing correlations between GNSS retrieved precipitable water vapor and land surface temperature after earthquakes occurrence A. Guo et al. 10.1016/j.scitotenv.2023.162225
- Observation of an Extremely Dry Atmospheric Air Column above Bern K. Hocke & W. Wang 10.3390/cli11030063
- Homogenization of daily precipitable water vapor time series derived from GNSS observations over China D. Zhu et al. 10.1016/j.asr.2023.04.052
- Estimation of PM2.5 concentrations with high spatiotemporal resolution in Beijing using the ERA5 dataset and machine learning models Z. Wang et al. 10.1016/j.asr.2022.12.016
- A Drought Monitoring Method Based on Precipitable Water Vapor and Precipitation Q. Zhao et al. 10.1175/JCLI-D-19-0971.1
- Analysis of temporal and spatial variations of total precipitable water vapor in western Iran using radiosonde and MODIS measurements M. Merrikhpour & M. Rahimzadegan 10.1117/1.JRS.13.044508
- A Novel ENSO Monitoring Method using Precipitable Water Vapor and Temperature in Southeast China Q. Zhao et al. 10.3390/rs12040649
- Variability and climatology of precipitable water vapor from 12-year GPS observations in Taiwan S. Pang et al. 10.1016/j.asr.2021.01.021
- Global total precipitable water variations and trends over the period 1958–2021 N. Wan et al. 10.5194/hess-28-2123-2024
- Improving the accuracy of real-time precipitable water vapour using country-wide meteorological model with precise point positioning in Thailand C. Charoenphon & C. Satirapod 10.1080/14498596.2020.1758969
- Analysing Correlations between Gnss Retrieved Pwv and Land Surface Temperature after Earthquakes Occurrence A. Guo et al. 10.2139/ssrn.4165350
- Variability and Trend in Integrated Water Vapour from ERA-Interim and IGRA2 Observations over Peninsular Malaysia E. Makama & H. Lim 10.3390/atmos11091012
- A new hybrid observation GNSS tomography method combining the real and virtual inverted signals W. Zhang et al. 10.1007/s00190-021-01576-8
- Improving the accuracy and spatial resolution of precipitable water vapor dataset using a neural network-based downscaling method X. Ma et al. 10.1016/j.atmosenv.2021.118850
- Assessing the Performance of Water Vapor Products from ERA5 and MERRA-2 during Heavy Rainfall in the Guangxi Region of China N. Huang et al. 10.3390/atmos15030306
- Performance of ERA5 data in retrieving Precipitable Water Vapour over East African tropical region R. Ssenyunzi et al. 10.1016/j.asr.2020.02.003
- Long-term changes in precipitable water vapour over India derived from satellite and reanalysis data for the past four decades (1980–2020) S. Sarkar et al. 10.1039/D2EA00139J
- Comparison of tropospheric parameters from Meteodrone measurements with GNSS estimates from ground-based stations K. Wilgan et al. 10.1016/j.asr.2020.04.019
- Performance of ERA5 data in retrieving precipitable water vapor over Hong Kong Z. Wang et al. 10.1016/j.asr.2022.12.059
- Constructing a precipitable water vapor map from regional GNSS network observations without collocated meteorological data for weather forecasting B. Chen et al. 10.5194/amt-11-5153-2018
- On the Statistical Significance of Climatic Trends Estimated From GPS Tropospheric Time Series F. Alshawaf et al. 10.1029/2018JD028703
- Improving the Wet Refractivity Estimation Using the Extremely Learning Machine (ELM) Technique E. Forootan et al. 10.3390/atmos14010112
- The Novel Copernicus Global Dataset of Atmospheric Total Water Vapour Content with Related Uncertainties from GNSS Observations K. Rannat et al. 10.3390/rs15215150
- Towards a zero-difference approach for homogenizing GNSS tropospheric products M. Hoseini et al. 10.1007/s10291-019-0915-2
- Evaluating the Accuracy of Satellite-Based Microwave Radiometer PWV Products Using Shipborne GNSS Observations Across the Pacific Ocean Y. Gong et al. 10.1109/TGRS.2021.3129001
- Estimation of integrated water vapor derived from Global Navigation Satellite System observations over Central-Western Argentina (2015–2018). Validation and usefulness for the understanding of regional precipitation events M. Camisay et al. 10.1016/j.jastp.2019.105143
- An improved GNSS tropospheric tomographic model with an extended region and combining virtual signals S. Liu et al. 10.1016/j.atmosres.2023.106703
- A New Adaptive Absolute Method for Homogenizing GNSS‐Derived Precipitable Water Vapor Time Series D. Zhu et al. 10.1029/2021EA001716
- Tropospheric Delay in the Neapolitan and Vesuvius Areas (Italy) by Means of a Dense GPS Array: A Contribution for Weather Forecasting and Climate Monitoring U. Riccardi et al. 10.3390/atmos12091225
- Retrieval of high spatial resolution precipitable water vapor maps using heterogeneous earth observation data X. Ma et al. 10.1016/j.rse.2022.113100
- A new approach to improve precipitable water vapour estimations of Sentinel-3A satellite data using LST, elevation and NDVI over Iran H. Dadashi & M. Rahimzadegan 10.1080/02626667.2023.2251468
1 citations as recorded by crossref.
Latest update: 21 Nov 2024
Short summary
In this paper, we aimed at estimating climatic trends using precipitable water vapor time series and surface measurements of air temperature in Germany. We used GNSS, ERA-Interim, and synoptic data. The results show mainly a positive trend in precipitable water vapor and temperature with an increase in the trend when moving to northeastern Germany.
In this paper, we aimed at estimating climatic trends using precipitable water vapor time series...