TR32-Database: Database of Transregio 32

[1144] - Assessment of small-scale integrated water vapour variability during HOPE

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Features
Citation
Steinke, S., Eikenberg, S., Löhnert, U., Dick, G., Klocke, D., Di Girolamo, P., Crewell, S., 2015. Assessment of small-scale integrated water vapour variability during HOPE. Atmospheric Chemistry and Physics, 15, 2675 - 2692. DOI: 10.5194/acp-15-2675-2015.
Identification
Title(s):Main Title: Assessment of small-scale integrated water vapour variability during HOPE
Description(s):Abstract: The spatio-temporal variability of integrated water vapour (IWV) on small scales of less than 10 km and hours is assessed with data from the 2 months of the High Definition Clouds and Precipitation for advancing Climate Prediction (HD(CP)2) Observational Prototype Experiment (HOPE). The statistical intercomparison of the unique set of observations during HOPE (microwave radiometer (MWR), Global Positioning System (GPS), sun photometer, radiosondes, Raman lidar, infrared and near-infrared Moderate Resolution Imaging Spectroradiometer (MODIS) on the satellites Aqua and Terra) measuring close together reveals a good agreement in terms of random differences (standard deviation ≤1 kg m−2) and correlation coefficient (≥ 0.98). The exception is MODIS, which appears to suffer from insufficient cloud filtering. For a case study during HOPE featuring a typical boundary layer development, the IWV variability in time and space on scales of less than 10 km and less than 1 h is investigated in detail. For this purpose, the measurements are complemented by simulations with the novel ICOsahedral Nonhydrostatic modelling framework (ICON), which for this study has a horizontal resolution of 156 m. These runs show that differences in space of 3–4 km or time of 10–15 min induce IWV variabilities on the order of 0.4 kg m−2. This model finding is confirmed by observed time series from two MWRs approximately 3 km apart with a comparable temporal resolution of a few seconds. Standard deviations of IWV derived from MWR measurements reveal a high variability (> 1 kg m−2) even at very short time scales of a few minutes. These cannot be captured by the temporally lower-resolved instruments and by operational numerical weather prediction models such as COSMO-DE (an application of the Consortium for Small-scale Modelling covering Germany) of Deutscher Wetterdienst, which is included in the comparison. However, for time scales larger than 1 h, a sampling resolution of 15 min is sufficient to capture the mean standard deviation of IWV. The present study shows that instrument sampling plays a major role when climatological information, in particular the mean diurnal cycle of IWV, is determined.
Identifier(s):DOI: 10.5194/acp-15-2675-2015
Citation Advice:Steinke, S., Eikenberg, S., Löhnert, U., Dick, G., Klocke, D., Di Girolamo, P., and Crewell, S.: Assessment of small-scale integrated water vapour variability during HOPE, Atmos. Chem. Phys., 15, 2675-2692, doi:10.5194/acp-15-2675-2015, 2015.
Responsible Party
Creator(s):Author: Sandra Steinke
Author: Sonja Eikenberg
Author: Ulrich Löhnert
Author: Galina Dick
Author: Daniel Klocke
Author: Paolo Di Girolamo
Author: Susanne Crewell
Publisher:Copernicus Publications
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Water Vapour
File Details
File Name:acp-15-2675-2015.pdf
Data Type:Text
File Size:1998 kB (1.951 MB)
Date(s):Available: 2015-03-09
Mime Type:application/pdf
Language:English
Status:Completed
Constraints
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:Ellebach
Measurement Location:Jülich (research centre)
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2015
Type:Article
Source:Atmospheric Chemistry and Physics
Volume:15
Page Range:2675 - 2692
Metadata Details
Metadata Creator:Sandra Steinke
Metadata Created:2015-03-11
Metadata Last Updated:2015-04-20
Subproject:D2
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:119
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
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