6533b855fe1ef96bd12b1528

RESEARCH PRODUCT

Upper tropospheric water vapour and its interaction with cirrus clouds as seen from IAGOS long-term routine in-situ observations

Bernhard BuchholzBernhard BuchholzMartin GallagherK.m. BeswickChristian RolfAndreas PetzoldMartina KrämerAndreas WahnerPhilippe NédélecFlorian BerkesGary LloydPatrick NeisPatrick NeisDarrel BaumgardnerPeter SpichtingerSusanne RohsMartin RieseVolker EbertVolker EbertHerman G. J. Smit

subject

In situ010504 meteorology & atmospheric sciencesIce crystalsSampling (statistics)010501 environmental sciencesAtmospheric sciences01 natural sciencesGeneralLiterature_MISCELLANEOUSTroposphereddc:550Environmental scienceRelative humidityCirrusPhysical and Theoretical ChemistryTropopauseWater vapor0105 earth and related environmental sciences

description

IAGOS (In-service Aircraft for a Global Observing System) performs long-term routinein situobservations of atmospheric chemical composition (O3, CO, NOx, NOy, CO2, CH4), water vapour, aerosols, clouds, and temperature on a global scale by operating compact instruments on board of passenger aircraft. The unique characteristics of the IAGOS data set originate from the global scale sampling on air traffic routes with similar instrumentation such that the observations are truly comparable and well suited for atmospheric research on a statistical basis. Here, we present the analysis of 15 months of simultaneous observations of relative humidity with respect to ice (RHice) and ice crystal number concentration in cirrus (Nice) from July 2014 to October 2015. The joint data set of 360 hours of RHice–Niceobservations in the global upper troposphere and tropopause region is analysed with respect to the in-cloud distribution of RHiceand related cirrus properties. The majority of the observed cirrus is thin withNice< 0.1 cm−3. The respective fractions of all cloud observations range from 90% over the mid-latitude North Atlantic Ocean and the Eurasian Continent to 67% over the subtropical and tropical Pacific Ocean. The in-cloud RHicedistributions do not depend on the geographical region of sampling. Types of cirrus origin (in situorigin, liquid origin) are inferred for differentNiceregimes and geographical regions. Most importantly, we found that in-cloud RHiceshows a strong correlation toNicewith slightly supersaturated dynamic equilibrium RHiceassociated with higherNicevalues in stronger updrafts.

https://juser.fz-juelich.de/record/830462