![Hier klicken, um den Treffer aus der Auswahl zu entfernen](images/unchecked.gif) |
Titel |
Upper tropospheric water vapour and its interaction with cirrus clouds as
seen from IAGOS long-term routine in-situ observations |
VerfasserIn |
Andreas Petzold, Martina Krämer, Patrick Neis, Christian Rolf, Susanne Rohs, Florian Berkes, Herman G. J. Smit, Martin Gallagher, Karl Beswick, Gary Lloyd, Darrel Baumgardner, Peter Spichtinger, Philippe Nédélec, Volker Ebert, Bernhard Buchholz, Martin Riese, Andreas Wahner |
Konferenz |
EGU General Assembly 2017
|
Medientyp |
Artikel
|
Sprache |
en
|
Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 19 (2017) |
Datensatznummer |
250143303
|
Publikation (Nr.) |
EGU/EGU2017-7009.pdf |
|
|
|
Zusammenfassung |
IAGOS (In-service Aircraft for a Global Observing System) performs long-term routine
in-situ observations of atmospheric chemical composition (ozone, 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 – Nice
observations in the global upper troposphere and tropopause region is analysed
with respect to the in-cloud distribution of RHice and related cirrus properties. The
majority of the observed cirrus is thin with Nice < 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 RHice distributions do not depend on the geographical
region of sampling. Types of cirrus origin (in situ origin, liquid origin) are inferred
for different Nice regimes and geographical regions. Most important, we found
that in-cloud RHice shows a strong correlation to Nice with slightly supersaturated
dynamic equilibrium RHice associated to higher Nice values in stronger updrafts. |
|
|
|
|
|