Data validation; historical climate data; climate; meteorology; reanalyses; drought
Brönnimann Stefan (2015), Climatic changes since 1700
, Springer, Cham.
Brönnimann Stefan (2015), Pacemakers of warming, in Nature Geoscience
, 8, 87-89.
Brönnimann Stefan, Fischer Andreas M., Rozanov Eugene, Poli Paul, Compo Gilbert P., Sardeshmukh Prashant D. (2015), Southward shift of the Northern tropical belt from 1945 to 1980, in Nature Geoscience
, 8, 969-974.
Stickler Alexander, Storz Samuel, Jörg Christoph, Wartenburger Richard, Hersbach Hans, Compo Gilbert P., Poli Paul, Dee Dick, Brönnimann Stefan (2015), Upper‐air observations from the German Atlantic Expedition (1925-27) and comparison with the Twentieth Century and ERA‐20C reanalyses., in Meteorologische Zeitschrift
, 24, 525-544.
Wegmann Martin, Brönnimann Stefan, Bhend Jonas, Franke Jörg, Folini Doris, Wild Martin, Luterbacher Jürg (2014), Volcanic influence on European summer precipitation through monsoons: Possible cause for "Years Without a Summer", in Journal of Climate
, 27, 3683-3691.
Brönnimann, Bhend Jonas, Franke Jörg, Flückiger S., Fischer Andreas Marc, Bleisch René, Bodeker Greg E., Haßler Birgit, Rozanov Eugene V., Schraner Martin (2013), A global historical ozone data set and prominent features of stratospheric variability prior to 1979, in Atmospheric Chemistry and Physics
, 13(18), 9623-9639.
Brönnimann S., Stickler A. (2013), Aerological observations in the Tropics in the Early Twentieth Century, in Meteorologische Zeitschrift
, 22(3), 349-358.
Wartenburger Richard, Brönnimann S. (2013), Observation errors in early historical upper-air observations, in Stickler, A.
Brönnimann S., Martius O. (2013), Weather extremes during the past 140 years
, Geographica Bernensia, Bern.
Brönnimann Stefan, Grant Andrea N. (2012), A multi-data set comparison of the vertical structure of temperature variability and change over the Arctic during the past 100 years, in Climate Dynamics
, 39, 1577-1598.
Brönnimann Stefan (2012), Extreme winds at northern mid-latitudes since 1871, in Meteorologische Zeitschrift
, 21, 13-27.
Bronnimann S, Compo GP (2012), Ozone highs and associated flow features in the first half of the twentieth century in different data sets, in METEOROLOGISCHE ZEITSCHRIFT
, 21(1), 49-59.
Stickler A, Bronnimann S (2011), Significant bias of the NCEP/NCAR and twentieth-century reanalyses relative to pilot balloon observations over the West African Monsoon region (1940-1957), in QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
, 137(659), 1400-1416.
Further progress in understanding and predicting weather and climate and their environmental effects relies on information on the 3-D state of the atmosphere at any given time. While models readily provide this sort of information, it is more difficult to obtain sufficient data for the real atmosphere with a sufficient accuracy, sufficient resolution and over a sufficiently long time period. With models becoming more and more accurate and with changing foci of the community (e.g., towards extremes and the hydrological cycle), the meaning of “sufficient” also changes. One such aspect is the backward extension of upper-air data sets. This would be beneficial in the context of extremes (a longer record features more extremes), predictability and hindcast experiments (a longer record better samples variability) and climate analysis. However, extending upper-air data sets back in time poses new challenges to the data community, some of which are addressed in this proposal. While several efforts are underway to provide new data sets, the subsequent effort of stringently comparing and validating these data is lagging behind. Also, case studies are needed that demonstrate the power and - even more important - the limitations of these new data sets. The importance of thorough data validation cannot be emphasised enough in a world where any data set is just a mouse click away.The goal of this project is to (1) extend current data sets backwards by contributing to a data assi-milation project, (2) validate historical upper-level data products, and (3) analyse the data with a focus on the 1940s and 1950s. In particular, we intend to analyse the European droughts 1945-1952, the 1950s Sahel pluvial, and the snow-rich Eurasian winters in the 1950s. Results will provide (a) an assessment of the quality of different data sets and their suitability for different purposes and (b) new insights into the mechanisms governing large-scale climate variability. Most importantly, the project will provide information on the quality of essential climate variables (ECV) in standard data sets in simple form.