Universität Hamburg

Meteorologisches Institut

Universität Hamburg

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Synthesis of Observations and Models

Mission

Most of the progress in atmospheric and climate sciences is based on numerical models. However, models can not be operated without observations: observations are essential to develop novel model formulations, to assess the realism of complex models and to provide realistsic initial and boundary condition. Merging models with observation is a challenge, since quantities differ with respect to their physical meaning, their spatiotemporal resolution and their accuracy. The group works on methods to bridge these gaps between observations and models by pursuing the following three approaches:

  • Experimental: Exploring new observational techniques, i.e. with wireless sensor networks
  • Methodical: Developping methods to adapt observations to models and vice versa
  • Applied: Multivariate, comprehensive evlaution of models

The group is joint working group of the University of Hamburg and the Max-Planck-Institute for Meteorology. At the Max-Planck-Instute the group is a part of the section "Land in the Earth system"  and is entitled "Boundary Layer Measurements and Modelling".

People

  • Felix Ament (Assisant professor; group leader)
  • Svenja Beuchel (Student worker)
  • Marco Clemens (PostDoc)
  • Nicole Feiertag (PhD student)
  • Stefanie Grünwald (Master student)
  • Verena Grützun (affiliated PostDoc)
  • Michael Krupski (PhD student)
  • Andrea Lammert-Stockschläder (PostDoc)
  • Katharina Lengfeld (PostDoc)
  • Claire Merker (student worker)
  • Hans Münster (engineer)
  • Sarah Sandoval (PhD student)
former members
  • Nele Tim
  • Jessica Engels
  • Anja Ludwig
  • Daniel Büttner
  • Max Hänze
  • Eva-Maria Rudolf
  • Jörg Burdanowitz
  • Mirka Fischer
  • Bernd Fischer
  • Suraj Polade 

Research activities

(ongoing / finalized)

Experimental

Methodological

  • Hydrological and Meteorological Data assimilation (HyMeDas)
  • Analysing a network of meteorological station at schools in Hamburg
  • Using the HALO Microwave Package (HAMP) for cloud and precipitation research
  • Lagrangian precipitation verification
  • Shorttime variabilty of ceilometer observations
  • Fuzzy Precipitation Verification: weather type depend stratification during MAP-D-PHASE

Applied

  • Quantitative evaluation of regional precipitation forecasts using multi-dimensional remote
    sensing observations (QUEST) - Evaluating the MAP D-PHASE models
  • Evaluation of humidity, clouds and precipitation in hindcasts by CCLM and MM5
  • Differences in cloud base height between the coast and inland
  • Verifcation of MAP D-PHASE precipitation forecasts over Switzerland
  • Verification of 2m-temperature interpolation in the COSMO model