@article{RaiZieglerAbeletal.2022,
  author    = {Rai, P. and Ziegler, K. and Abel, D. and Pollinger, F. and Paeth, H.},
  title     = {Performance of a regional climate model with interactive vegetation (REMO-iMOVE) over Central Asia},
  series = {Theoretical and Applied Climatology},
  volume    = {150},
  journal   = {Theoretical and Applied Climatology},
  number    = {3-4},
  issn      = {0177-798X},
  doi       = {10.1007/s00704-022-04233-y},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-324155},
  pages     = {1385-1405},
  year      = {2022},
  abstract  = {The current study evaluates the regional climate model REMO (v2015) and its new version REMO-iMOVE, including interactive vegetation and plant functional types (PFTs), over two Central Asian domains for the period of 2000-2015 at two different horizontal resolutions (0.44° and 0.11°). Various statistical metrices along with mean bias patterns for precipitation, temperature, and leaf area index have been used for the model evaluation. A better representation of the spatial pattern of precipitation is found at 0.11° resolution over most of Central Asia. Regarding the mean temperature, both model versions show a high level of agreement with the validation data, especially at the higher resolution. This also reduces the biases in maximum and minimum temperature. Generally, REMO-iMOVE shows an improvement regarding the temperature bias but produces a larger precipitation bias compared to the REMO conventional version with interannually static vegetation. Since the coupled version is capable to simulate the mean climate of Central Asia like its parent version, both can be used for impact studies and future projections. However, regarding the new vegetation scheme and its spatiotemporal representation exemplified by the leaf area index, REMO-iMOVE shows a clear advantage over REMO. This better simulation is caused by the implementation of more realistic and interactive vegetation and related atmospheric processes which consequently add value to the regional climate model.},
  language  = {en}
}
@article{SamimiFinkPaeth2012,
  author    = {Samimi, C. and Fink, A. H. and Paeth, H.},
  title     = {The 2007 flood in the Sahel: causes, characteristics and its presentation in the media and FEWS NET},
  series = {Natural Hazards and Earth System Sciences},
  volume    = {12},
  journal   = {Natural Hazards and Earth System Sciences},
  number    = {2},
  doi       = {10.5194/nhess-12-313-2012},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131790},
  pages     = {313 -- 325},
  year      = {2012},
  abstract  = {During the rainy season in 2007, reports about exceptional rains and floodings in the Sahel were published in the media, especially in August and September. Institutions and organizations like the World Food Programme (WFP) and FEWS NET put the events on the agenda and released alerts and requested help. The partly controversial picture was that most of the Sahel faced a crisis caused by widespread floodings. Our study shows that the rainy season in 2007 was exceptional with regard to rainfall amount and return periods. In many areas the event had a return period between 1 and 50 yr with high spatial heterogeneity, with the exception of the Upper Volta basin, which yielded return periods of up to 1200 yr. Despite the strong rainfall, the interpretation of satellite images show that the floods were mainly confined to lakes and river beds. However, the study also proves the difficulties in assessing the meteorological processes and the demarcation of flooded areas in satellite images without ground truthing. These facts and the somewhat vague and controversial reports in the media and FEWS NET demonstrate that it is crucial to thoroughly analyze such events at a regional and local scale involving the local population.},
  language  = {en}
}