The Cloud Properties Experiment (CPEX) will be conducted at the Table Mountain Facility (40.125°N 105.240°W) in Boulder, Colorado from 15 June - 31 October 2018. The primary purpose of CPEX is to evaluate a range of ground-based, radiometric instrumentation used for retrieving cloud properties in order to better understand their consistency with each other and with theory of cloud physical and radiative properties. New instrumentation will be evaluated along with established instruments and methods for determining whether they may be useful additions to the SURFRAD (Surface Radiation) Network. The campaign data may also be used to augment a data set for a cloud forecasting study. Data will be collected under this first campaign phase, but additional support will be required for follow-on physical parameter retrievals and analysis.
Clouds represent the primary atmospheric influence on the surface radiation budget, which in turn provides the energy for boundary layer processes. The response of clouds to changes in climate, whether anthropogenically forced or resulting from natural variability, is the largest uncertainty in short- and long-term predictability. Comprehensive observations that provide information for understanding changes in clouds through time as well as understanding of fundamental cloud physical processes are required in a range of climatic regimes. Determining an instrument suite that is robust, relatively operationally efficient, while providing the most comprehensive and accurate information on cloud physical properties is a driver for this study.
All participating instruments will be co-located at the Table Mountain Facility within a 150 m2 area, and the RadSys systems within a 2 km2 surrounding area. Since each instrument has a different field-of-view, siting is done in consideration of this fact, ensuring that hemispheric FOV instrument are unobstructed and narrow FOV instruments are representative of the wider FOV. All instruments will sample at their native or typically operating temporal resolutions, and comparisons will be made at the largest sampling resolution or as specific comparisons dictate.
|NOAA GML||Chuck Long, Kathy Lantz, Allison McComiskey, Gary Hodges, Patrick Disterhoft||3 RadSys Systems (downwelling SW, DNI, DHI, LW, T, RH, P) CL-51 Ceilometer SURFRAD site||Cloud base height (CBH), AOD, upwelling and downwelling LW, SW, DNI, DHI, RadFlux Products (clear-sky LW, SW, direct and diffuse radiation, Cloud Fraction, etc.)|
|NOAA CSD||Aditya Choukulkar, Tim Bonin, Sunil Baidar, Alan Brewer||Scanning Doppler Lidar||Wind Profiles, Boundary Layer Height, Vertical Velocity Variance, Cloud Base Height, Cloud Fraction||CPEX 2018 Dalek 1 Data|
|NOAA PSD||Jim Wilczak, Laura Bianco||Microwave Radiometer||LWP, Temperature profiles, water vapor density, RH|
|Reuniwatt, Inc||Laurent Sauvage, Marion Lafuma||Sky InSight - IR Sky Imager||Day and night Cloud Fraction, Cloud base height (CBH), Cloud-type, Irradiance|
|Aerodyne Research, Inc||Allison McComiskey, Herman Scott, Jim Wendell||TWST (Three-Waveband Spectrally-agile Technique)||Cloud Optical Depth in all-sky conditions|
|NOAA GML||John Augustine, Chuck Long, Gary Hodges, Allison McComiskey||MFRSR (Multi-Filter Rotating Shadowband Radiometer)||Cloud Optical Depth in overcast conditions|
Data will be shared and made available with the participants of the CPEX campaign. Use of the data for reports and publications requires permission and consultation with the other participants, especially given some of the products are preliminary and in development.
The surface cloud radiative effect (CRE) is a measure of the impact of clouds on the surface radiation budget. For a cloud field, CRE is a function of cloud cover, cloud optical depth which is dictated by cloud microphysical properties, and cloud field geometrical configuration or morphology which are cloud macrophysical properties.
Cloud microphysical properties are internal to the cloud and include the cloud drop size distribution, commonly represented by an effective radius re, the cloud drop number concentration Nd, and the liquid water path LWP. These properties are all physically related to each other and the cloud optical depth by τc ∝ LWP/ re. For a given LWP, τc ∝ Nd1/3. Further, droplet number concentrations Nd are related to aerosol number concentrations Na in a way that is dictated by aerosol size and composition and the available water and cloud dynamics/thermodynamics.
Cloud cover (cloud fraction, fc), cloud base height (CBH), cloud geometric thickness (CTH), and cloud layering are all macrophysical characteristics of a cloud field. Cloud base height (CBH) is a primary determinant of longwave irradiance, but also impacts the shortwave as well, especially through interactions with the surface. Thus cloud height is a major indicator of the cloud radiative forcing. In the case of multi-layer clouds, the relative heights, optical depths, and overlap characteristics can greatly impact radiative transfer by creating a highly multiple-scattering environment.
In addition, the dynamics of the boundary layer play an important role in the vertical transport of aerosols and moisture which affect cloud formation and dissipation. Simultaneous measurements of boundary layer dynamics such as the wind, turbulence kinetic energy (TKE) and boundary layer depth along with the radiation variables allow a more thorough investigation of the boundary layer processes occurring in cloud topped boundary layers. It is also important to measure and understand the vertical structure of the aerosol as this perturbs not only the radiation reaching the surface, but also the cloud formation.
The surface radiation budget is typically observed by hemispheric field-of-view broadband (passive) radiometric measurements in the shortwave and longwave and these measurements can be used to retrieve some cloud properties. These instruments integrate the total irradiance from the cloud field in that ~180° sky view. In overcast conditions this sky sample may be fairly uniform and representative of a single cloud. In broken or partly cloudy conditions this includes diffuse irradiance from the cloud scattering and direct irradiance from the clear areas between clouds. Thus, some of the critical properties discussed above can only be accurately observed with narrow field-of-view (active or passive) radiometric instruments. Ultimately, the instrument field-of-view must be filled with the cloud being measured, else radiation from clear-sky portions of the scene will confound the retrieval of cloud properties. The exception is inferring cloud fraction from hemispheric FOV measurements. A goal for a comprehensive, cloud-sensing instrument suite is to combine measurement techniques that provide each of the critical properties for determination of CRE with acceptable uncertainty.