Listar por autor "Brönnimann, Stefan"

    • Clima y eventos extremos del Altiplano Central Perú- Boliviano 

      Andrade, Marcos; Lavado-Casimiro, W.; Brönnimann, Stefan

      (Servicio Nacional de Meteorología e Hidrología del Perú - SENAMHI, 2018)
      Acceso abierto
      El clima en el Altiplano de Bolivia y Perú puede ser extremo y severo. Gran parte de la región del Altiplano experimenta temperaturas de congelación frecuentes, a menudo por debajo de -3 grados C, pero en la región más al ...

    • Effects of undetected data quality issues on climatological analyses 

      Hunziker, Stefan; Brönnimann, Stefan; Calle, J.; Moreno, Isabel; Andrade, Marcos; Ticona, Laura; Huerta, Adrian; Lavado-Casimiro, W.

      (Copernicus GmbH, 2018-01)
      Acceso abierto
      Systematic data quality issues may occur at various stages of the data generation process. They may affect large fractions of observational datasets and remain largely undetected with standard data quality control. This ...

    • Identifying, attributing, and overcoming common data quality issues of manned station observations 

      Hunziker, Stefan; Gubler, Stefanie; Calle, J.; Moreno, Isabel; Andrade, Marcos; Velarde, Fernando; Ticona, Laura; Carrasco, Gualberto; Castellón, Yaruska; Oria, Clara; Croci-Maspoli, M.; Konzelmann, Thomas; Rohrer, M.; Brönnimann, Stefan

      (John Wiley and Sons Ltd, 2017-03-20)
      Acceso abierto
      In situ climatological observations are essential for studies related to climate trends and extreme events. However, in many regions of the globe, observational records are affected by a large number of data quality issues. ...

    • The influence of station density on climate data homogenization 

      Gubler, S.; Hunziker, Stefan; Begert, M.; Croci-Maspoli, M.; Konzelmann, Thomas; Brönnimann, Stefan; Schwierz, C.; Oria, Clara; Rosas, Gabriela

      (John Wiley and Sons Ltd, 2017-11)
      Relative homogenization methods assume that measurements of nearby stations experience similar climate signals and rely therefore on dense station networks with high-temporal correlations. In developing countries such as ...

    • Twinning SENAMHI and MeteoSwiss to co-develop climate services for the agricultural sector in Peru 

      Gubler, S.; Rossa, Andrea; Avalos, Grinia; Brönnimann, Stefan; Cristobal, Katy; Croci-Maspoli, M.; Dapozzo, M.; van der Elst, A.; Escajadillo Fernandez, Yury; Flubacher, Moritz; Garcia, T.; Imfeld, N.; Konzelmann, T.; Lechthaler, F.; Liniger, M.; Quevedo Caiña, Karim; Ramos, Hugo; Rohrer, M.; Schwierz, C.; Sedlmeier, K.; Spirig, C.; de Ventura, S.; Wüthrich, B.

      (Elsevier B.V., 2020-12-06)
      Acceso abierto
      The development and dissemination of weather and climate information is crucial to improve people's resilience and adaptability to climate variability and change. The impacts of climate variability and change are generally ...