1 Indirect evidence of vertical humidity transport during very stable conditions at Cabauw Stephan de Roode

Slides:



Advertisements
Similar presentations
BBOS meeting on Boundary Layers and Turbulence, 7 November 2008 De Roode, S. R. and A. Los, QJRMS, Corresponding paper available from
Advertisements

Veldhoven, Large-eddy simulation of stratocumulus – cloud albedo and cloud inhomogeneity Stephan de Roode (1,2) & Alexander Los (2)
GABLS workshop, Stockholm, June 2007 Simple but realistic cases from Cabauw for GABLS Fred Bosveld (KNMI) with contributions from: Peter Baas Gert.
Joint GABLS-GLASS/LoCo workshop, September 2004, De Bilt, Netherlands Interactions of the land-surface with the atmospheric boundary layer: Single.
Evaluation of HARMONIE using a single column model in the KNMI
Modeling Stratocumulus Clouds: From Cloud Droplet to the Meso-scales Stephan de Roode Clouds, Climate & Air Quality Multi-Scale Physics (MSP), Faculty.
Line Efficiency     Percentage Month Today’s Date
Low clouds in the atmosphere: Never a dull moment Stephan de Roode (GRS) stratocumulus cumulus.
Buoyancy driven turbulence in the atmosphere
Atmospheric Analysis Lecture 3.
Ang Atmospheric Boundary Layer and Turbulence Zong-Liang Yang Department of Geological Sciences.
The representation of stratocumulus with eddy diffusivity closure models Stephan de Roode KNMI.
What is weather? Weather is a state of the atmosphere (troposphere) at a specific time and place, determined by factors including: Air pressure Humidity.
Atmospheric TU Delft Stephan de Roode, Harm Jonker clouds, climate and weather air quality in the urban environmentenergy.
Collaborative Research: A Heat Budget Analysis of the Arctic Climate System Mark C. Serreze, Andrew Barrett, Andrew Slater CIRES/NSIDC, University of Colorado,
Validation (WP 4) Eddy Moors, Herbert ter Maat, Cor Jacobs.
EMS2011 September 12-16, Berlin 1 Regional scale flux observations at Cabauw Fred C. Bosveld Royal Netherlands Meteorological Institute With contributions.
EMS Sep Reading UK Evaluating modelled surface long wave downward radiation with Cabauw observations: The GABLS3 SCM case. Fred Bosveld (KNMI)
Evaluating forecasts of the evolution of the cloudy boundary layer using radar and lidar observations Andrew Barrett, Robin Hogan and Ewan O’Connor Submitted.
1 Large Eddy Simulation of Stable Boundary Layers with a prognostic subgrid TKE equation 8 th Annual Meeting of the EMS, Amsterdam, 2008 Stephan R. de.
EARTH SCIENCE Prentice Hall EARTH SCIENCE Tarbuck Lutgens 
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Component testing of the COSMO model’s turbulent diffusion.
Evaporation What is evaporation? How is evaporation measured?
Hydrologic Losses - Evaporation Learning Objectives Be able to calculate Evaporation from a lake or reservoir using the following methods – Energy Balance.
Hydrologic Losses - Evaporation
Jan 2016 Solar Lunar Data.
Meteorological drivers of surface ozone biases in the Southeast US
Pier Siebesma Today: “Dry” Atmospheric Convection

The Cabauw Experimental Site for Atmospheric Research (CESAR): New developments Fred C. Bosveld (KNMI) Content CESAR and its research themes Long term.
Vertical resolution of numerical models
Q1 Jan Feb Mar ENTER TEXT HERE Notes

Project timeline # 3 Step # 3 is about x, y and z # 2
Average Monthly Temperature and Rainfall


2017 Jan Sun Mon Tue Wed Thu Fri Sat

Gantt Chart Enter Year Here Activities Jan Feb Mar Apr May Jun Jul Aug
Q1 Q2 Q3 Q4 PRODUCT ROADMAP TITLE Roadmap Tagline MILESTONE MILESTONE
Hydrologic Losses - Evaporation
Free PPT Diagrams : ALLPPT.com


Calendar Year 2009 Insure Oklahoma Total & Projected Enrollment
MONTH CYCLE BEGINS CYCLE ENDS DUE TO FINANCE JUL /2/2015
Jan Sun Mon Tue Wed Thu Fri Sat

Electricity Cost and Use – FY 2016 and FY 2017

Text for section 1 1 Text for section 2 2 Text for section 3 3
Text for section 1 1 Text for section 2 2 Text for section 3 3
Text for section 1 1 Text for section 2 2 Text for section 3 3
Text for section 1 1 Text for section 2 2 Text for section 3 3
Q1 Q2 Q3 Q4 PRODUCT ROADMAP TITLE Roadmap Tagline MILESTONE MILESTONE
Free PPT Diagrams : ALLPPT.com

Text for section 1 1 Text for section 2 2 Text for section 3 3
Text for section 1 1 Text for section 2 2 Text for section 3 3
Text for section 1 1 Text for section 2 2 Text for section 3 3
Belem Climate Data Table
Text for section 1 1 Text for section 2 2 Text for section 3 3
Text for section 1 1 Text for section 2 2 Text for section 3 3
Text for section 1 1 Text for section 2 2 Text for section 3 3
Project timeline # 3 Step # 3 is about x, y and z # 2
TIMELINE NAME OF PROJECT Today 2016 Jan Feb Mar Apr May Jun

Q1 Q2 Q3 Q4 PRODUCT ROADMAP TITLE Roadmap Tagline MILESTONE MILESTONE
Pilot of revised survey
Presentation transcript:

1 Indirect evidence of vertical humidity transport during very stable conditions at Cabauw Stephan de Roode Clouds, Climate and Air Quality Department of Multi-Scale Physics (TNW) Stephan R. de Roode (TU Delft) & Fred C. Bosveld (KNMI)

2 Stable boundary layers - Analysis of Cabauw data for the period selectioncriterionheightdata fraction I.nighttime1m0.50 II.clear sky1m0.18 III.weak wind10m0.08 IV.stable5m0.07 V.surface cooling2m0.05

3 Monthly mean surface energy balance during stable conditions Month N blocks 10 minutes H (Wm -2 ) LE (Wm -2 ) -G 0 (Wm -2 ) LW net (Wm -2 ) Res (Wm -2 ) Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

4 Monthly mean surface energy balance during stable conditions Month N blocks 10 minutes H (Wm -2 ) LE (Wm -2 ) -G 0 (Wm -2 ) LW net (Wm -2 ) Res (Wm -2 ) Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

5 Dew formation  downward vertical humidity transport Problems - eddy correlation humidity flux at 5 m is negligibly small - large residual in surface energy balance Relevance - Testing schemes (TKE, EDMF, etc) against observations - Site used for GABLS3 case - Humidity important for fog formation Question - Are the measured latent heat fluxes in accord with observed humidity tendencies from Cabauw tower?

6 Example: humidity tendencies from Cabauw tower q sat,sfc 2m 10m 80 m

7 Mean humidity tendencies (all selected SBLs) Significant mean tendencies near the surface

8 Mean humidity tendencies at 2m as a function of wind direction Negative humidity tendency for any prevailing mean wind direction

9 Tendencies of the mean humidity at 2m and the surface saturation specific humidity Surface cooling causes downgradient humidity flux

10 Mean humidity tendencies as a function of the bulk Richardson number Tendencies even for very stable conditions

11 Ditches are another local source of moisture Courtesy Kees Floor Courtesy Adriaan Schuitmaker

12 Dispersion of a passive scalar in a stable boundary layer at Cabauw Field experiment (measuring vertical velocities with laser technique) by Petra Kroon, Harm Jonker, Adriaan Schuitmaker and others (TU Delft)

13 Sources dew formation 1. Vertical turbulent transport from atmospheric column 2. Condensation of moisture evaporated from ditches

14 Dew research in Wageningen (Jacobs et al.) Wageningen dew fall corresponds to a mean latent heat flux of about 10 Wm -2

15 Conclusions 1. Surface energy imbalance partly due to "missing" latent heat flux - instrument wetting - measurement height 5 m - small turbulent fluctuations 2. Dew fall from - atmospheric column - evaporated moisture from numerous ditches 3. We expect similar dew fall as in Wageningen (about 50 km from Cabauw) - latent heat flux LE≈-10Wm -2 (Jacobs et al. 2006)

16 Monthly mean humidity tendencies (g/kg/hr) Monthsfc2m10m20m40m80m140m200mLE (Wm -2 ) Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec corresponding flux