User Tools

Site Tools


research_notes

This is an old revision of the document!


Table of Contents

[ Welcome ][ Group ][ Research ][ Publications ][ CV ][ MISC ][ My Christian Blog ]

Research Notes & Project & Ideas

The following lists contains active research questions in my personal research and that of my group members.

Research Levels


The projects range from applied research to pure research. I believe that it is important to have <hi>all levels of research</hi> active in a society and it is my key interest to link them, to use very pure research in applications and to let applications inspire very basic questions and research topics.


A

  • Multiscale Data Assimilation - with Aamir Nadeem [PHD]
  • Model Approximations and Model Diagnostics in Data Assimilation Cycles - with Babatunde Odunuga [PHD]
  • Mathematica Analysis of Multistep Data Assimilation - with Perianez, Reich, Schraff, Rhodin
  • Assimilating Satellite Cloud Product in an Ensemble Data Assimilation for NWP - with Schomburg and Schraff
  • <hi>Orthogonality Sampling/ Direct Sampling and inverting the Bessel Volume Potential - RP</hi>

no7original.jpgno7reconstruction.jpgz_no4_20150728t152030reconstruction.jpg
Original and reconstruction from a far field pattern of uniform sources located in the rectangle, here using 7 different frequencies (left), using four frequencies between wavenumber 1.5 and 2.5, one incident field only (right). This is work in progress.

B

  • GPS Slant Delay Operator - with Michael Bender et al.
  • GPS Tomography Algorithms - with Michael Bender et al
  • Particle Filter for Large Scale Problems in NWP - with Schraff, Rhodin, Reich
  • SEVIRI infrared radiance assimilation for convective models - with Otkin, Perianez et al.
  • Mathematical Analysis for Ensemble Kalman Filter Convergence Questions - with Perianez et al. [PHD]

C

  • Data Assimilation in Neural Field and Neural Mass Models - with Ingo Bojak
  • Radar data assimilation in convective models - with Theresa Bick et al.


Radar Data Assimilation based on an Ensemble Kalman Filter in a Convection Permitting Model with Rapid Update Cycle. We show the influence on the cycling frequency on the fractional skill score. Here, for the 4d-Version of the LETKF, lower update rates lead to better fractional skill skores after one hour of forecast.(left) Further, we compare latent heat nudging with full Volume Radar assimilation - they were of comparable quality in these experiments. The experiments have been carried out by Bick et al.

  • Kilometer Scale Ensemble Data Assimilation (KENDA) - with Schraff, Reich, Rhodin et al. [under review]
  • Diagnostics for Ensemble Data Assimilation Systems - with Dora Föhring, Rhodin and Köpken-Watts
  • Wind Power Assimilation OSSE - with Stefan Declair, Annika Schomburg et al.

D

  • Ensemble Data Assimilation for the ICON Model (IEDA) - with Ana Fernandez et al.
  • Inverse Problems for Delay Neural Field Equations - with Jehan Alswailhi [PHD]
  • Ensemble Methods for Inverse Scattering Problems - with Quaz Muhammad Zaigham Zia
  • Photovoltaic Measurement Assimilation for Energy Applications - with Annika Schomburg et al.
  • <hi>Data Assimilation for Cognitive Structures</hi> - RP


ICON Global data assimilation model grid with NEST over Europe.

research_notes.1438624654.txt.gz · Last modified: (external edit)