Articles | Volume 15, issue 5
https://doi.org/10.5194/acp-15-2675-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-15-2675-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Mar 2015
Research article |
| 09 Mar 2015
Assessment of small-scale integrated water vapour variability during HOPE
S. Steinke
CORRESPONDING AUTHOR
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Hans-Ertel-Centre for Weather Research, Germany
S. Eikenberg
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
U. Löhnert
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
GeoForschungsZentrum Potsdam, Potsdam, Germany
D. Klocke
Deutscher Wetterdienst, Offenbach, Germany
P. Di Girolamo
Scuola di Ingegneria, Università della Basilicata, Potenza, Italy
S. Crewell
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
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- Trends of Vertically Integrated Water Vapor over the Arctic during 1979–2016: Consistent Moistening All Over? A. Rinke et al. 10.1175/JCLI-D-19-0092.1
- Accomplishments of the MUSICA project to provide accurate, long-term, global and high-resolution observations of tropospheric {H2O,δD} pairs – a review M. Schneider et al. 10.5194/amt-9-2845-2016
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- GNSS-based water vapor estimation and validation during the MOSAiC expedition B. Männel et al. 10.5194/amt-14-5127-2021
- Quality assessment of integrated water vapour measurements at the St. Petersburg site, Russia: FTIR vs. MW and GPS techniques Y. Virolainen et al. 10.5194/amt-10-4521-2017
- Detection of land-surface-induced atmospheric water vapor patterns T. Marke et al. 10.5194/acp-20-1723-2020
- A New Machine-Learning-Based Calibration Scheme for MODIS Thermal Infrared Water Vapor Product Using BPNN, GBDT, GRNN, KNN, MLPNN, RF, and XGBoost J. Xu et al. 10.1109/TGRS.2024.3356578
- Characterization and Evolution of Organized Shallow Convection in the Downstream North Atlantic Trades H. Schulz et al. 10.1029/2021JD034575
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- The HD(CP)2 Data Archive for Atmospheric Measurement Data E. Stamnas et al. 10.3390/ijgi5070124
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- Toward a Combined Surface Temperature Data Set for the Arctic From the Along‐Track Scanning Radiometers E. Dodd et al. 10.1029/2019JD030262
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