INUPIAQ/CLACE 2014 University of Manchester Data availability

INUPIAQ Aims KO1.To characterise the chemical composition of IN and aerosols upwind of JFJ and to determine whether the aerosol properties can be used to predict the number of ice nuclei at each site. KO2.To determine whether previously observed sharp transitions between ice and liquid clouds [Choularton et al. 2008] are due to changes in aerosol chemical composition, CCN or IN. KO3.To provide a comprehensive data set of aerosol, ice phase nucleation and cloud microphysics measurements which will be used for sensitivity studies in an explicit cloud–aerosol interaction model (ACPIM) for the purpose of understanding the important processes to include in other state-of-the-art models, such as the MetUM. KO4.To identify ice processes that impact cloud evolution significantly. Choularton, T. W., et al., 2008: The influence of small aerosol particles on the properties of water and ice clouds. Faraday discussions, 137, 205–222.

Schilthorn appears to have the best connectivity for the CLACE 2013 experiment WRF model suggests Concentrations of the tracer from Schilthorn are highest when taken at the JFJ

Upwind Site

Aerosol Instrumentation InstrumentMeasurementSize rangeTime resolution AMSNonrefractory composition Organic matter, SO 4, NO 3, NH 4 Size distribution in polluted conditions 50 – 800nm10min SMPSSize distributions10 – 600nm5min SP2Black carbon number, mass concentration Light scattering particle (LSP, ie non-BC) number concentration BC mixing state 80 – 600nm nm nm 1min CPCTotal number concentration20nm +1s APSSize distributions0.5 – 20µm1s GRIMM OPC Size distributions0.25 – 30µm6s WIBSBiological particles0.5* – 20µm5min

Some notes The AMS and SP2 are corrected to standard temperature and pressure K, mbar Data coverage 26 Jan – 24 Feb except for power cut on 3 Feb Present Weather Sensor/Metek also at Schilthorn

AMS time series

Burgers?

WIBS-4 0.5* – 20µm Size Range Moved Between Sites Schilthorn 26 th Jan -3 rd Feb Jungfraujoch 5 th Feb until 25 th Feb Varied between ISI and Total Inlet at Jungfraujoch, generally opposite to the PSI WIBS

Cloud Instrumentation InstrumentMeasurementSize rangeTime resolution CASAerosol and Smaller Droplet Size Distributions and Number Concentrations 0.51 – 50 µm1s CIPIce Size Distributions and Number Concentrations 15 – 960 µm1s FSSPDroplet Size Distributions and Number Concentrations 0.51 – 50 µm1s CDPDroplet Size Distributions and Number Concentrations 2 – 50 μm1s PVMLiquid Water Content µm1s 2-DS/3V- CPI Particle Size Distributions and Number Concentrations, Ice Water Content, Ice Crystal Habit µm Varies

Other JFJ data and Issues Vaisala (Temperature and RH), Metek (Wind), Venturi (Pressure) and Rotator data also available. Most Data Available 19 th Jan - 28 th Feb CIP data not processed – Downtime 2DS only Processed for priority cases Rotator in Manual before 31 Jan Riming, Fixing Instruments, Power Outage

LiDAR Data 1.55μm pulsed Doppler LIDAR with a depolarisation channel Maximum range 10km Both azimuthal and elevation scanning

LiDAR Scans Stare at 170° azimuth (az), 21.5° elevation (el) Velocity-Azimuth Display (VAD) scans of 10° az steps at 19° and 35° elevations Range Height Indicator (RHI) scans between 0- 90° el in 2.5° steps at 186°, 223° and 256° az Wind Profiles Cross Polarised – Phase issues.

30 minute cycles Roughly 12 minutes Vertical Stare Each other Scan takes about 2-3 minutes. Wind Profiles Every 30 minutes Scan Data Available between 01/02/2014 until 27/02/2014 ~0830 UTC Other Stares (106° 29 th Jan, 326° 29 th - 31 st Jan ) and RHI’s (160° 29 th Jan-31 st ) available approx. every 6 seconds

Connectivity Filter good periods for testing with WRF cases Precipitable Water < 0.01 and Wind Direction Westerly ( °) at Schilthorn (No Cloud) Total CDP Concentration > 4 per cc and Wind Direction Westerly ( ° to allow for Orography) at Jungfraujoch Few good cases 8-9 th Feb, 12 th Feb, 14 th Feb

RHI

VAD

Further Work Run WRF on a number of connected cases for background Initialise WRF with different initial aerosol parameters Test ACPIM parcel model with real data To Quantify the effect of aerosols on the cloud processes and models.