The advent of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-Orbiting Partnership (NPP) satellite provided a quantum jump in the satellite capabilities of retrieving cloud properties, because it nearly tripled the resolution in the thermal channels (375 m). This allowed us to develop a methodology for retrieving convective cloud base temperature (T b ) and validate it over the Atmospheric System Research Southern Great Plains site for the satellite early afternoon overpass time. The standard error of the T b retrieval was only 1.1°C. The knowledge of T b allows the calculation of cloud base height and the depth of the boundary layer, as well as the boundary layer water vapor mixing ratio with an accuracy of about 10%. The feasibility of retrieving cloud base temperature and height is an essential component that is required for retrieving cloud condensation nuclei (CCN) from satellites by using convective clouds as natural CCN chambers.
The Motivation for Retrieving Cloud Base Temperature From SpaceA major challenge in our understanding the cloud-aerosol precipitation impacts on the climate system is the ability to retrieve from space the cloud condensation nuclei (CCN) supersaturation (S) spectra simultaneously with the cloud microstructure. Rosenfeld et al. [2012] proposed to use the convective clouds as natural CCN chambers and retrieved the cloud drop number concentrations (N d ) that were nucleated near cloud base along with cloud base updraft (w b ). Knowing both N d and w b allows the calculation of the supersaturation in cloud base. A satellite mission based on this principle was proposed by Rennó et al. [2013]. The satellite will retrieve both N d and w b for convective clouds that developed in the well-mixed boundary layer and calculate CCN(S) for individual clouds or small cloud clusters.The calculation of N d depends on the knowledge of cloud base temperature, T b , because the methodology is based in part on the calculated adiabatic cloud liquid water content as a function of height above cloud base [Freud et al., 2011]. Here we develop the methodology and show the feasibility to measure cloud base temperature from an existing satellite with a standard retrieval error of only 1.1°C.Although the main motivation for developing the methodology is for retrieving CCN from space, there are many other benefits for such a capability. The knowledge of cloud base temperature, when combined with meteorological data, allows the calculation of the height of this temperature and thus obtaining the height of the top of the boundary layer and the water vapor mixing ratio in it. This can be used for calculating more accurately the available convective potential energy and thus improving the prediction of convection and precipitation, especially in remote land areas where weather reports form the ground are scarce. Assimilating this information in numerical weather prediction models can improve the weather forecast and especially the quantitative precipitation predicti...