[ES_JOBS_NET] Postdoctoral fellowship, Dept. of Atmospheric Sciences, São Paulo, Brazil/ University of Lund, Sweden

[Christine Wiedinmyer]

Postdoctoral fellowship 

MODEL DEVELOPMENT AND VALIDATION FOR SOUTHERN BRAZIL PBAP´S 

PI Supervisor: Profs. Drs. Fábio L T Gonçalves/Vaughan Phillips 

Contact 

Email : fabio.goncalves at iag.usp.br / vaughan.phillips at nateko.lu.se 

Dept. of Atmospheric Sciences, São Paulo, Brazil/ University of Lund, Sweden


Deadline: 31/10/2018 

24 months, 40 hours per week 

Salary: ca. 7000 reais/month plus benefits 

In the context of the project: PRIMARY BIOLOGICAL AEROSOL PARTICLES (PBAPS):
SAMPLING AND MODELING AT SOUTHERN BRAZIL ASSOCIATED TO IMPROVEMENTS OF
CLIMATE MODELS 

FAPESP PROJECT (2016/06160-8), coordinators: Profs. Drs. Fábio L T
Gonçalves/Vaughan Phillips 

CONTEXT: 

Airborne particles directly and indirectly impact Earth's climate as well as
human and animal health. This project will explore the status of the current
and incomplete global climatology of hail, hail formation, its relation to
primary biological aerosol particles that are ice nuclei (PBAP-IN) to
explain the observed behavior for the Southern region of Brazil. Remote
sensing techniques and downscaling scenarios will be considered in the
analysis proposed in this project and methods able to assess the impact of
future climate scenarios. This research is expected to evaluate the
knowledge about PBAP-IN and hail phenomena and improve the modern techniques
of detection of hailstorms by satellites, including the assessment of any
signal of climate change impact. Finally, the project will provide the
community with observations of the local and specific conditions of 

hailstorms occurrence, related to PBAP-IN and, based on these conditions,
establish the synoptic or large-scale circulation patterns under which the
phenomena occur in the South and Southeast of Brazil and what behavior could
be expected to the future. 

The postdoctoral scholar will achieve these objectives: 

Schemes to treat ice nucleation by bacteria, fungal and other bio-aerosol
(e.g. algal) particles separately will be created. 

These schemes will be implemented in the WRF cloud model of the Lund side
and in the Brazilian model. 

Airborne concentrations and size distributions of bacteria and fungal
particles will be specified for the cases to be simulated by both sides
(Lund, Brazil). 

The WRF model will be validated against all available ground-based,
satellite-based and aircraft (in similar Brazilian areas) observations,
either for the clouds simulated or for clouds in a similar area and time of
year. 

Optionally other model improvements will be done, such as inclusion of a
fully spectral model approach for the microphysics and improved treatments
of sticking efficiency for aggregation and hail wet growth. 

Specific Tasks 

First, our empirical parameterization (Phillips et al. 2008, 2013) of
biological ice nucleation will be improved by resolving the separate species
of bio-aerosol (bacteria, fungal, algal particles). Time-dependence of ice
nucleation will be treated in an empirical way by inspecting and simulating
off-line lab studies already published, in collaboration with other experts
in observations of ice nucleation in USA. Next, field observations by
satellite, aircraft and from the ground, will be gathered for the two
locations of our observed cases near Sao Paulo and Paraná state. The
observations will include radar reflectivity, lightning flash rate, surface
precipitation rate, vertical velocity histograms, shortwave and longwave
fluxes observed by satellite, CCN and IN concentrations, and cloud-droplet
concentrations. Simulations with our cloud models of both locations will be
validated with available observations. Prediction of measurements with
hail-pads will be validated in particular.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20181005/ab21fc1d/attachment.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: POSTDOCmodelling-announcement2018.pdf
Type: application/pdf
Size: 15528 bytes
Desc: not available
URL: <http://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20181005/ab21fc1d/attachment.pdf>